Maps

The Maps endpoints are used to generate maps (and map statistics) of the datasets available in Climate Engine.

There are three groups of Maps endpoints:

/raster/mapid - These are used to generate Earth Engine maps, and produce an Earth Engine map ID value.

/raster/export - These endpoints are used to generate a map and export it to a Google Cloud Storage bucket.

/raster/metadata - The metadata endpoints return percentiles and statistics of map values.

NOTES:

- The endpoints ending in “standard_index” are only valid for indices like SPI, SPEI and EDDI.

- Additionally, “forecasts” endpoints are only available for forecast datasets (i.e. CFS_GRIDMET and FRET).

- For the “anomalies” endpoints, the calculations “anompercentof” and “anompercentchange” are not valid for temperature variables.

/raster/export/task_update

/raster/export/task_queue

/raster/export/values

/raster/export/forecasts/values

/raster/export/climatologies

/raster/export/anomalies

/raster/export/forecasts/anomalies

/raster/export/forecasts/percentiles

/raster/export/percentiles

/raster/export/standard_index

/raster/export/forecasts/standard_index

/raster/export/mann_kendall

/raster/export/counts

/raster/export/count_climatologies

/raster/export/count_anomalies

/raster/export/count_mann_kendall

/raster/export/date_threshold

/raster/export/date_threshold_climatologies

/raster/export/date_threshold_anomalies

/raster/export/date_threshold_mann_kendall

/raster/export/degree_days

/raster/export/degree_days/climatologies

/raster/export/degree_days/anomalies

/raster/export/degree_days/mann_kendall

/raster/export/growing_degree_days

/raster/export/growing_degree_days/climatologies

/raster/export/growing_degree_days/anomalies

/raster/export/growing_degree_days/mann_kendall

/raster/mapid/values

/raster/mapid/forecasts/values

/raster/mapid/climatologies

/raster/mapid/anomalies

/raster/mapid/forecasts/anomalies

/raster/mapid/forecasts/percentiles

/raster/mapid/percentiles

/raster/mapid/standard_index

/raster/mapid/forecasts/standard_index

/raster/mapid/mann_kendall

/raster/mapid/counts

/raster/mapid/count_climatologies

/raster/mapid/count_anomalies

/raster/mapid/count_mann_kendall

/raster/mapid/date_threshold

/raster/mapid/date_threshold_climatologies

/raster/mapid/date_threshold_anomalies

/raster/mapid/date_threshold_mann_kendall

/raster/mapid/degree_days

/raster/mapid/degree_days/climatologies

/raster/mapid/degree_days/anomalies

/raster/mapid/degree_days/mann_kendall

/raster/mapid/growing_degree_days

/raster/mapid/growing_degree_days/climatologies

/raster/mapid/growing_degree_days/anomalies

/raster/mapid/growing_degree_days/mann_kendall

/raster/export/task_update

Checks the status of an Earth Engine export tasks

Resource url example:

/raster/export/task_update?task_id=2BFYQPFADAYHRGTRME2OXFD7

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
task_id	yes	Earth Engine ID of the task (from output of export endpoint)		2BFYQPFADAYHRGTRME2OXFD7

/raster/export/task_queue

Lists all exports of chosen tasks states in the Earth Engine task queue

Resource url example:

/raster/export/task_queue?task_states=RUNNING%2C%20FAILED

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
task_states		list of task states	READY, RUNNING, SUCCEEDED, FAILED	RUNNING, FAILED

/raster/export/values

Exports a map of values to a Google Cloud Storage bucket.

The temporal statistic is applied over the date range defined by start_date and end_date.

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/values?dataset=GRIDMET&variable=tmmx&temporal_statistic=Mean&start_date=2016-01-01&end_date=2016-12-30&bounding_box=[-121.7,38.3,-120.1,38.9]&export_path=ncei-nidis/test/test_values&export_projection=EPSG:4326&export_resolution=1000

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
temporal_statistic	yes			mean, median, max, min, total
start_date	yes			2019-01-01
end_date	yes			2019-12-31
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/forecasts/values

Exports a map of forecast values to a Google Cloud Storage bucket.

The temporal statistic is applied over the date range defined by start_date and end_date.

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/forecasts/values?dataset=CFS_GRIDMET&variable=tmmx&model=ens&temporal_statistic=Mean&start_day=day01&end_day=day28&bounding_box=[-121.7,38.3,-120.1,38.9]&export_path=ncei-nidis/test/test_values&export_projection=EPSG:4326&export_resolution=1000

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes		GRIDMET_CFS	GRIDMET_CFS
variable	yes		pet, pr, tmmx, tmmn	tmmx
model	yes	ens01 to en<xx> for individual models (see documentation), ens_min, ens_max, ens_mean, ens_median	ens	ens_max
temporal_statistic	yes			mean, median, max, min, total
start_day	yes	day01 to day28, start_day <= end_day	day01	day15
end_day	yes	day01 to day28, end_day >= start_day	day28	day17
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/climatologies

Exports a map of average values to a Google Cloud Storage bucket.

The temporal statistic is applied over the date range defined by start_date and end_date.

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/climatologies?dataset=GRIDMET&variable=tmmx&temporal_statistic=Mean&start_season=08-01&end_season=10-30&start_year=2014&end_year=2018&bounding_box=[23.8858,48.9802,-128.3203,-66.5332]&export_path=ncei-nidis/test/test_clim&export_projection=EPSG:4326&export_resolution=1000

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
temporal_statistic	yes			mean, median, max, min, total
start_season	yes			05-10
end_season	yes			10-16
start_year	yes	Start year for the climatology		1981
end_year	yes	End year for the climatology		2010
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/anomalies

Exports a map of anomalies to a Google Cloud Storage bucket.

The following calculation choices can be specified:

anom: differences of the values from average conditions

anompercentof: the values divided by the average conditions multiplied by 100 to cast as a percent

anompercentchange: difference of values from average conditions divided by average conditions and then multiplied by 100 to cast as a percent

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/anomalies?dataset=GRIDMET&variable=tmmx&temporal_statistic=Mean&calculation=anom&start_date=2016-08-01&end_date=2016-10-30&start_year=2014&end_year=2018&bounding_box=[-121.7,38.3,-120.1,38.9]&export_path=ncei-nidis/test/test_anomalies&export_projection=EPSG:4326&export_resolution=1000

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
temporal_statistic	yes			mean, median, max, min, total
calculation	yes	Anomaly calculation		anom, anompercentof, anompercentchange
start_date	yes			2019-01-01
end_date	yes			2019-10-16
start_year	yes	Start year for the climatology		1981
end_year	yes	End year for the climatology		2010
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/forecasts/anomalies

Exports a map of anomaly forecasts to a Google Cloud Storage bucket.

The following calculation choices can be specified:

anom: differences of the values from average conditions

anompercentof: the values divided by the average conditions multiplied by 100 to cast as a percent

anompercentchange: difference of values from average conditions divided by average conditions and then multiplied by 100 to cast as a percent

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/forecasts/anomalies?dataset=CFS_GRIDMET&variable=tmmx&model=ens&temporal_statistic=Mean&calculation=anom&start_day=day01&end_day=day28&start_year=2014&end_year=2018&bounding_box=[-121.7,38.3,-120.1,38.9]&export_path=ncei-nidis/test/test_anomalies&export_projection=EPSG:4326&export_resolution=1000

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes		CFS_GRIDMET	CFS_GRIDMET
variable	yes	pet, pr, tmmx, tmmn		tmmx
model	yes	ens01 to en<xx> for individual models (see documentation), ens_min, ens_max, ens_mean, ens_median	ens	ens_max
temporal_statistic	yes			mean, median, max, min, total
calculation	yes	Anomaly calculation		anom, anompercentof, anompercentchange
start_day	yes	day01 to day 28, start_day <= end_day	day01	day02
end_day	yes	day01 to day28, end_day >= start_day	day28	day15
start_year	yes	Start year for the climatology		1981
end_year	yes	End year for the climatology		2010
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/percentiles

Generates a map of percentiles or rank of the dataset variable over the time period.

Percentile: Return a number between (percentile_step to 100) showing where the target period is

Rank: Return an integer between (0 to number of years in climatology). A value of 0 is below the lowest value in climatology. 1 is the lowest value in climatology.

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/percentiles?dataset=GRIDMET&variable=pr&temporal_statistic=Total&percentile_step=1&start_date=2016-08-01&end_date=2016-10-30&start_year=2014&end_year=2018&bounding_box=[-121.7,38.3,-120.1,38.9]&export_path=ncei-nidis/test/test_anomalies&export_projection=EPSG:4326&export_resolution=1000

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
calculation	yes		percentile	percentile, rank
temporal_statistic	yes			mean, median, max, min, total
percentile_step	yes	difference between percentiles computed	1	0.5, 1 or 5
start_date	yes			2019-01-01
end_date	yes			2019-10-16
start_year	yes	Start year for the climatology		1981
end_year	yes	End year for the climatology		2010
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 20] or [0, 30, 50, 80]

/raster/export/forecasts/percentiles

Generates a map of forecasts percentiles or rank of the dataset variable over the time period.

Percentile: Return a number between (percentile_step to 100) showing where the target period is

Rank: Return an integer between (0 to number of years in climatology). A value of 0 is below the lowest value in climatology. 1 is the lowest value in climatology.

Returns: json, Earth Engine task ID

NOTE: CFS_GRIDMET is the only valid dataset for this endpoint

because we have the GRIDMET base climatology dataset needed for the precentile computation.

Resource url example:

/raster/export/forecasts/percentiles?dataset=CFS_GRIDMET&variable=pr&model=ens_mean&temporal_statistic=Total&percentile_step=1&start_day=day01&end_day=day16&start_year=2014&end_year=2018&bounding_box=[-121.7,38.3,-120.1,38.9]&export_path=ncei-nidis/test/test_anomalies&export_projection=EPSG:4326&export_resolution=1000

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes		CFS_GRIDMET	CFS_GRIDMET
variable	yes			tmmx
calculation	yes		percentile	percentile, rank
model	yes	ens01 to en<xx> for individual models (see documentation), ens_min, ens_max, ens_mean, ens_median	ens_mean	ens_max
temporal_statistic	yes			mean, median, max, min, total
percentile_step	yes	difference between percentiles computed	1	0.5, 1 or 5
start_day	yes	day01 to day 28, start_day <= end_day	day01	day02
end_day	yes	day01 to day28, end_day >= start_day	day07	day15
start_year	yes	Start year for the climatology		1981
end_year	yes	End year for the climatology		2010
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 20] or [0, 30, 50, 80]

/raster/export/standard_index

Exports a map of drought indices to a Google Cloud Storage bucket.

Available variables: spi, spei, eddi, speih, edddih

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/standard_index?dataset=GRIDMET&variable=eddi&start_date=2016-08-01&end_date=2016-10-30&start_year=2014&end_year=2018&bounding_box=[-121.7,38.3,-120.1,38.9]&export_path=ncei-nidis/test/test_norm&export_projection=EPSG:4326&export_resolution=1000

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			spi
distribution	yes	nonparametric, gamma or loglogistic	nonparametric	gamma
start_date	yes			2019-01-01
end_date	yes			2019-10-16
start_year	yes	Start year for the climatology		1981
end_year	yes	End year for the climatology		2010
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/forecasts/standard_index

Exports a map of drought indices forecasts to a Google Cloud Storage bucket.

Available variables by dataset:

CFS_GRIDMET eddi

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/forecasts/standard_index?dataset=CFS_GRIDMET&variable=eddi&time_step=wk2&bounding_box=[-121.7,38.3,-120.1,38.9]&export_path=ncei-nidis/test/test_norm&export_projection=EPSG:4326&export_resolution=1000

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET_CFS
variable	yes		eddi	eddi
distribution	yes	nonparametric, gamma or loglogistic	nonparametric	gamma
time_step	yes	individual forecasts wk1, wk2, wk3, wk4 and means wk12, wk123, wk1234	wk1	wk123
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/mann_kendall

Exports a map of Mann Kendall trends to a Google Cloud Storage bucket.

mk_sen: Slope of trend (Sen’s slope)

mk_tau: Correlation of trend (Kendall Tau-b)

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/mann_kendall?dataset=LANDSAT7_TOA&variable=NDVI&temporal_statistic=Mean&calculation=mk_tau&p_value=0.5&start_season=05-01&end_season=07-30&start_year=2016&end_year=2018&bounding_box=[-121.7,38.3,-120.1,38.9]&export_path=ncei-nidis/test/test_mk&export_projection=EPSG:4326&export_resolution=1000

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
temporal_statistic	yes			mean, median, max, min, total
calculation	yes	Sen’s Slope or Kendall Tau-b		mk_sen, mk_tau
p_value	no	Mann Kendall p-value mask	1.0	1.0 (all trends), 0.2 (80% confidence), 0.1, 0.05, 0.01
start_season	yes			01-01
end_season	yes			10-16
start_year	yes	Start year for the climatology		1981
end_year	yes	End year for the climatology		2010
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/counts

Exports a map of counts/probabilities to a Google Cloud Storage bucket.

counts: Number of times between start date and end date that a pixel met the the selected operator’s criteria

probability: The count divided by the total number of data points considered

Will work for wrapping around years (e.g. water year)

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/counts?dataset=GRIDMET&variable=tmmx&operator=threshold_gte&output=counts&value_1=25&export_path=ncei-nidis%2Fdemo_image&start_date=2010-01-31&end_date=2010-12-31

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
operator	yes	Type of operator - options include threshold, interior, exterior	threshold_gte	theshold_gt, threshold_gte, threshold_lt, threshold_lte, interior_eq, interior_neq, exterior_eq, exterior_neq
output	yes	Type of output	counts	counts, probability
value_1	yes	Value to apply operator to	25	25
value_2	no	Second value for interior/exterior operators
start_date	yes		2010-01-31	2023-01-01
end_date	yes		2010-12-31	2023-12-31
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket, includes bucket/<optional folder>/filename	ncei-nidis/demo_image	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/count_climatologies

Exports a map of counts/probabilities climatologies to a Google Cloud Storage bucket.

counts: Number of times between start date and end date that a pixel met the the selected operator’s criteria

probability: The count divided by the total number of data points considered

Will work for wrapping around years (e.g. water year)

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/count_climatologies?dataset=GRIDMET&variable=tmmx&operator=threshold_gte&output=counts&value_1=25&export_path=ncei-nidis%2Fdemo_image&start_season=08-01&end_season=10-31&start_year=2016&end_year=2018

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
operator	yes	Type of operator - options include threshold, interior, exterior	threshold_gte	theshold_gt, threshold_gte, threshold_lt, threshold_lte, interior_eq, interior_neq, exterior_eq, exterior_neq
output	yes	Type of output	counts	counts, probability
value_1	yes	Value to apply operator to	25	25
value_2	no	Second value for interior/exterior operators
start_season	yes		01-31	01-01
end_season	yes		10-31	12-31
start_year	yes		2016	2020
end_year	yes		2018	2023
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/count_anomalies

Exports a map of counts/probabilities anomalies to a Google Cloud Storage bucket.

counts: Number of times between start date and end date that a pixel met the the selected operator’s criteria

probability: The count divided by the total number of data points considered

Will work for wrapping around years (e.g. water year)

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/count_anomalies?dataset=GRIDMET&variable=tmmx&operator=threshold_gte&output=counts&value_1=25&export_path=ncei-nidis%2Fdemo_image&start_date=2010-01-01&end_date=2010-12-31&start_year=2001&end_year=2020&calculation=anom

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
operator	yes	Type of operator - options include threshold, interior, exterior	threshold_gte	theshold_gt, threshold_gte, threshold_lt, threshold_lte, interior_eq, interior_neq, exterior_eq, exterior_neq
output	yes	Type of output	counts	counts, probability
value_1	yes	Value to apply operator to	25	25
value_2	no	Second value for interior/exterior operators
calculation	yes		anom	anom
start_date	yes		2010-01-01	2023-01-01
end_date	yes		2010-12-31	2023-12-31
start_year	yes		2001	2000
end_year	yes		2020	2023
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/count_mann_kendall

Exports a map of counts/probabilities trends to a Google Cloud Storage bucket.

counts: Number of times between start date and end date that a pixel met the the selected operator’s criteria

probability: The count divided by the total number of data points considered

Will work for wrapping around years (e.g. water year)

mk_sen: Slope of trend (Sen’s slope)

mk_tau: Correlation of trend (Kendall Tau-b)

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/count_mann_kendall?dataset=GRIDMET&variable=tmmx&operator=threshold_gte&output=counts&value_1=25&export_path=ncei-nidis%2Fdemo_image&start_season=01-01&end_season=12-31&start_year=2001&end_year=2020&calculation=mk_tau&p_value=1

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
operator	yes	Type of operator - options include threshold, interior, exterior	threshold_gte	theshold_gt, threshold_gte, threshold_lt, threshold_lte, interior_eq, interior_neq, exterior_eq, exterior_neq
output	yes	Type of output	counts	counts, probability
value_1	yes	Value to apply operator to	25	25
value_2	no	Second value for interior/exterior operators
calculation	yes		mk_tau	mk_tau
p_value	no	Mann Kendall p-value mask	1.0	1.0 (all trends), 0.2 (80% confidence), 0.1, 0.05, 0.01
start_season	yes		01-01	01-01
end_season	yes		12-31	12-31
start_year	yes		2001	2000
end_year	yes		2020	2023
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/date_threshold

Exports a map of dates that the given threshold value was met during a time period (defined by start_date and end_date) to a Google Cloud Storage bucket.

Selecting threshold_max and threshold_min return date when max/min values were met during the time period.

Occurrence allows you to select first or last time a threshold is met during the time period. For Min/Max thresholds, occurrence values will be the same.

Will work for wrapping around years and for both climate and remote sensing assets.

The units returned is in milliseconds since 1970-01-01.

A masked value indicates threshold value was not passed.

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/date_threshold?dataset=GRIDMET&variable=tmmx&operator=threshold_max&export_path=ncei-nidis%2Fdemo_image&start_date=2010-01-01&end_date=2010-12-31

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
operator	yes	Type of Threshold to apply	threshold_max	threshold_max, threshold_min, threshold_gt, threshold_gte, threshold_lte, threshold_lt
occurrence	yes	Timing of when threshold was met	first	first, last
value	no	value for thresholding, only applies to threshold_gt, threshold_gte, threshold_lte, threshold_lt		32
start_date	yes			2010-01-01
end_date	yes			2010-12-31
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/date_threshold_climatologies

Exports a map of average time since the provided start_season (in milliseconds) that the given threshold value was met during a time period (defined by start_season and end_season) over a set of years to a Google Cloud Storage bucket.

Selecting threshold_max and threshold_min return date when max/min values were met during the time period.

Occurrence allows you to select first or last time a threshold is met during the time period. For Min/Max thresholds, occurrence values will be the same.

Will work for wrapping around years and for both climate and remote sensing assets.

The units returned are in milliseconds since the start day-month of climatology season.

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/date_threshold_climatologies?dataset=GRIDMET&variable=tmmx&operator=threshold_max&export_path=ncei-nidis%2Fdemo_image&start_season=01-01&end_season=12-31&start_year=2001&end_year=2020

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
operator	yes	Type of Threshold to apply	threshold_max	threshold_max, threshold_min, threshold_gt, threshold_gte, threshold_lte, threshold_lt
occurrence	yes	Timing of when threshold was met	first	first, last
value	no	value for thresholding, only applies to threshold_gt, threshold_gte, threshold_lte, threshold_lt		32
start_season	yes		01-01	01-01
end_season	yes		12-31	12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/date_threshold_anomalies

Exports a map of the difference in time (milliseconds, or percent) between the time when the target period threshold is met and the average time when the threshold is met over the climatology time period to a Google Cloud Storage bucket.

Selecting threshold_max and threshold_min return date when max/min values were met during the time period.

Occurrence allows you to select first or last time a threshold is met during the time period. For Min/Max thresholds, occurrence values will be the same.

Will work for wrapping around years and for both climate and remote sensing assets.

The units returned are in milliseconds difference if anom is chosen. Otherwise it is a percentage.

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/date_threshold_anomalies?dataset=GRIDMET&variable=tmmx&operator=threshold_max&export_path=ncei-nidis%2Fdemo_image&start_date=2010-01-01&end_date=2010-12-31&start_year=2001&end_year=2020&calculation=anom

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
operator	yes	Type of Threshold to apply	threshold_max	threshold_max, threshold_min, threshold_gt, threshold_gte, threshold_lte, threshold_lt
occurrence	yes	Timing of when threshold was met	first	first, last
value	no	value for thresholding, only applies to threshold_gt, threshold_gte, threshold_lte, threshold_lt		32
start_date	yes		2010-01-01	2010-01-01
end_date	yes		2010-12-31	2010-12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]
calculation	yes	Anomaly Calculation	anom	anom, anompercentof, anompercentchange

/raster/export/date_threshold_mann_kendall

Exports a map of the trend of time (milliseconds per year) since the start month-month over a set of years to a Google Cloud Storage bucket.

Selecting threshold_max and threshold_min return date when max/min values were met during the time period.

Occurrence allows you to select first or last time a threshold is met during the time period. For Min/Max thresholds, occurrence values will be the same.

Will work for wrapping around years and for both climate and remote sensing assets.

The units for the slope are in milliseconds per year.

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/date_threshold_mann_kendall?dataset=GRIDMET&variable=tmmx&operator=threshold_max&export_path=ncei-nidis%2Fdemo_image&start_season=01-01&end_season=12-31&start_year=2001&end_year=2020&calculation=mk_sen&p_value=1

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
operator	yes	Type of Threshold to apply	threshold_max	threshold_max, threshold_min, threshold_gt, threshold_gte, threshold_lte, threshold_lt
occurrence	yes	Timing of when threshold was met	first	first, last
value	no	value for thresholding, only applies to threshold_gt, threshold_gte, threshold_lte, threshold_lt		32
start_season	yes		01-01	01-01
end_season	yes		12-31	12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]
calculation	yes	Sen’s Slope or Kendall Tau-b	mk_sen	mk_sen, mk_tau
p_value	no	Mann Kendall p-value mask	1.0	1.0 (all trends), 0.2 (80% confidence), 0.1, 0.05, 0.01

/raster/export/degree_days

Exports a map of heating degree or cooling degree days to a Google Cloud Storage bucket.

Heating degree days count how many degree days are below the base temperature (how much heating is required).

Cooling degree days count how many degree days are above the base temperature (how much cooling is required).

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/degree_days?dataset=GRIDMET&variable=tmean&dd_type=hdd&value=18.3&export_path=ncei-nidis%2Fdemo_image&start_date=2010-01-01&end_date=2010-12-31

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes		tmean	tmean
dd_type	yes	heating or cooling degree days	hdd	hdd, cdd
value	yes	standard threshold	18.3	18.3
start_date	yes		2010-01-01	2010-01-01
end_date	yes		2010-12-31	2010-12-31
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/degree_days/climatologies

Exports a map of average heating degree or cooling degree days to a Google Cloud Storage bucket.

Heating degree days count how many degree days are below the base temperature (how much heating is required).

Cooling degree days count how many degree days are above the base temperature (how much cooling is required).

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/degree_days/climatologies?dataset=GRIDMET&variable=tmean&dd_type=hdd&value=18.3&export_path=ncei-nidis%2Fdemo_image&start_season=01-01&end_season=12-31&start_year=2001&end_year=2020

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes		tmean	tmean
dd_type	yes	heating or cooling degree days	hdd	hdd, cdd
value	yes	standard threshold	18.3	18.3
start_season	yes		01-01	01-01
end_season	yes		12-31	12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/degree_days/anomalies

Exports a map of difference in heating degree or cooling degree days for time period of interest relative to a climatology to a Google Cloud Storage bucket.

Heating degree days count how many degree days are below the base temperature (how much heating is required).

Cooling degree days count how many degree days are above the base temperature (how much cooling is required).

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/degree_days/anomalies?dataset=GRIDMET&variable=tmean&dd_type=hdd&value=18.3&export_path=ncei-nidis%2Fdemo_image&start_date=2010-01-01&end_date=2010-12-31&start_year=2001&end_year=2020&calculation=anom

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes		tmean	tmean
dd_type	yes	heating or cooling degree days	hdd	hdd, cdd
value	yes	standard threshold	18.3	18.3
start_date	yes		2010-01-01	2010-01-01
end_date	yes		2010-12-31	2010-12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
calculation	yes	Anomaly Calculation	anom	anom, anompercentof, anompercentchange
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/degree_days/mann_kendall

Exports a map of trend in heating degree or cooling degree days for time period over a set of years to a Google Cloud Storage bucket.

Heating degree days count how many degree days are below the base temperature (how much heating is required).

Cooling degree days count how many degree days are above the base temperature (how much cooling is required).

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/degree_days/mann_kendall?dataset=GRIDMET&variable=tmean&dd_type=hdd&value=18.3&export_path=ncei-nidis%2Fdemo_image&start_season=01-01&end_season=12-31&start_year=2001&end_year=2020&calculation=mk_sen&p_value=1

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes		tmean	tmean
dd_type	yes	heating or cooling degree days	hdd	hdd, cdd
value	yes	standard threshold	18.3	18.3
start_season	yes		01-01	01-01
end_season	yes		12-31	12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
calculation	yes	Sen’s Slope or Kendall Tau-b	mk_sen	mk_sen, mk_tau
p_value	no	Mann Kendall p-value mask	1.0	1.0 (all trends), 0.2 (80% confidence), 0.1, 0.05, 0.01
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/growing_degree_days

Exports a map of growing degree days to a Google Cloud Storage bucket.

Growing Degree Days (GDD) are a measure of heat accumulation used to predict plant and insect development based on temperature.

GDD is calculated using a base temperature below which growth does not occur, and an upper cutoff temperature above which growth is limited.

The default values used here are for corn.

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/growing_degree_days?dataset=GRIDMET&variable_tmax=tmmx&variable_tmin=tmmn&base_threshold=10&cutoff_threshold=30&export_path=ncei-nidis%2Fdemo_image&start_date=2010-01-01&end_date=2010-12-31

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable_tmax	yes		tmmx	tmmx
variable_tmin	yes		tmmn	tmmn
base_threshold	yes	base threshold temperature	10	10
cutoff_threshold	no	cutoff threshold temperature	30	30
start_date	yes		2010-01-01	2010-01-01
end_date	yes		2010-12-31	2010-12-31
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/growing_degree_days/climatologies

Exports a map of average growing degree days to a Google Cloud Storage bucket.

Growing Degree Days (GDD) are a measure of heat accumulation used to predict plant and insect development based on temperature.

GDD is calculated using a base temperature below which growth does not occur, and an upper cutoff temperature above which growth is limited.

The default values used here are for corn.

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/growing_degree_days/climatologies?dataset=GRIDMET&variable_tmax=tmmx&variable_tmin=tmmn&base_threshold=10&cutoff_threshold=30&export_path=ncei-nidis%2Fdemo_image&start_season=01-01&end_season=12-31&start_year=2001&end_year=2020

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable_tmax	yes		tmmx	tmmx
variable_tmin	yes		tmmn	tmmn
base_threshold	yes	base threshold temperature	10	10
cutoff_threshold	no	cutoff threshold temperature	30	30
start_season	yes		01-01	01-01
end_season	yes		12-31	12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/growing_degree_days/anomalies

Exports a map of difference in growing degree days for time period of interest relative to a climatology to a Google Cloud Storage bucket.

Growing Degree Days (GDD) are a measure of heat accumulation used to predict plant and insect development based on temperature.

GDD is calculated using a base temperature below which growth does not occur, and an upper cutoff temperature above which growth is limited.

The default values used here are for corn.

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/growing_degree_days/anomalies?dataset=GRIDMET&variable_tmax=tmmx&variable_tmin=tmmn&base_threshold=10&cutoff_threshold=30&export_path=ncei-nidis%2Fdemo_image&start_date=2010-01-01&end_date=2010-12-31&start_year=2001&end_year=2020&calculation=anom

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable_tmax	yes		tmmx	tmmx
variable_tmin	yes		tmmn	tmmn
base_threshold	yes	base threshold temperature	10	10
cutoff_threshold	no	cutoff threshold temperature	30	30
start_date	yes		2010-01-01	2010-01-01
end_date	yes		2010-12-31	2010-12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
calculation	yes	Anomaly Calculation	anom	anom, anompercentof, anompercentchange
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/export/growing_degree_days/mann_kendall

Exports a map of trend in growing degree days for time period over a set of years to a Google Cloud Storage bucket.

Growing Degree Days (GDD) are a measure of heat accumulation used to predict plant and insect development based on temperature.

GDD is calculated using a base temperature below which growth does not occur, and an upper cutoff temperature above which growth is limited.

The default values used here are for corn.

Returns: json, Earth Engine task ID

Resource url example:

/raster/export/growing_degree_days/mann_kendall?dataset=GRIDMET&variable_tmax=tmmx&variable_tmin=tmmn&base_threshold=10&cutoff_threshold=30&export_path=ncei-nidis%2Fdemo_image&start_season=01-01&end_season=12-31&start_year=2001&end_year=2020&calculation=mk_sen&p_value=1

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable_tmax	yes		tmmx	tmmx
variable_tmin	yes		tmmn	tmmn
base_threshold	yes	base threshold temperature	10	10
cutoff_threshold	no	cutoff threshold temperature	30	30
start_season	yes		01-01	01-01
end_season	yes		12-31	12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
calculation	yes	Sen’s Slope or Kendall Tau-b	mk_sen	mk_sen, mk_tau
p_value	no	Mann Kendall p-value mask	1.0	1.0 (all trends), 0.2 (80% confidence), 0.1, 0.05, 0.01
bounding_box	yes	The bounding box [SWLong, SWLat, NELong, NELat]		[-139, 49, -138, 50]
export_projection	no		EPSG:4326
export_resolution	no	Resolution of exported image (in meters)	Native resolution of dataset	4000
export_path	yes	path to bucket	Includes bucket/<optional folder>/filename	ncei-nidis/test/test_values
map_mask	no	Show ranges of data on the map		[0, 200] or [0, 200, 300, 400]

/raster/mapid/values

Generates a map of values of the dataset variable.

The temporal statistic is applied over the date range defined by start_date and end_date.

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/values?dataset=GRIDMET&variable=tmmx&temporal_statistic=Mean&start_date=2016-01-01&end_date=2016-12-30&colormap_opacity=0.7&colormap_type=continuous

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
temporal_statistic	yes			mean, median, max, min, total
start_date	yes			2019-01-01
end_date	yes			2019-12-31
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[290.0,314.0]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[d8d8d8, 34addff, 35affa3, f2ff89, ff725c]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/forecasts/values

Generates a map of forecast values of the dataset variable.

The temporal statistic is applied over the date range defined by start_date and end_date.

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/forecasts/values?dataset=CFS_GRIDMET&variable=tmmx&model=ens15&temporal_statistic=Mean&start_day=day02&end_day=day21&colormap_opacity=0.7&colormap_type=continuous

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes		CFS_GRIDMET	CFS_GRIDMET
variable	yes	pet, pr, tmmx, tmmn		tmmx
model	yes	ens01 to en<xx> for individual models (see documentation), ens_min, ens_max, ens_mean, ens_median	ens_mean	ens_max
temporal_statistic	yes			mean, median, max, min, total
start_day	yes	day01 to day 28, start_day <= end_day	day01	day02
end_day	yes	day01 to day28, end_day >= start_day	day28	day15
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[290.0,314.0]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[d8d8d8, 34addff, 35affa3, f2ff89, ff725c]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/climatologies

Generates a map of average values of the dataset variable over the time period.

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/climatologies?dataset=GRIDMET&variable=tmmx&temporal_statistic=Mean&start_season=08-01&end_season=10-30&start_year=2014&end_year=2018&colormap_opacity=0.7&colormap_type=continuous

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
temporal_statistic	yes			mean, median, max, min, total
start_season	yes			05-10
end_season	yes			10-16
start_year	yes	Start year for the climatology		1981
end_year	yes	End year for the climatology		2010
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[290.0,314.0]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[d8d8d8, 34addff, 35affa3, f2ff89, ff725c]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/anomalies

Generates a map of anomalies of the dataset variable over the time period.

The following calculation choices can be specified:

anom: differences of the values from average conditions

anompercentof: the values divided by the average conditions multiplied by 100 to cast as a percent

anompercentchange: difference of values from average conditions divided by average conditions and then multiplied by 100 to cast as a percent

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/anomalies?dataset=GRIDMET&variable=pr&temporal_statistic=Total&calculation=anom&start_date=2016-08-01&end_date=2016-10-30&start_year=2014&end_year=2018&colormap_opacity=0.7&colormap_type=continuous

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
temporal_statistic	yes			mean, median, max, min, total
calculation	yes	Anomaly calculation		anom, anompercentof, anompercentchange
start_date	yes			2019-01-01
end_date	yes			2019-10-16
start_year	yes	Start year for the climatology		1981
end_year	yes	End year for the climatology		2010
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[290.0,314.0]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[d8d8d8, 34addff, 35affa3, f2ff89, ff725c]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/forecasts/anomalies

Generates a map of forecast anomalies of the dataset variable over the time period.

The following calculation choices can be specified:

anom: differences of the values from average conditions

anompercentof: the values divided by the average conditions multiplied by 100 to cast as a percent

anompercentchange: difference of values from average conditions divided by average conditions and then multiplied by 100 to cast as a percent

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/forecasts/anomalies?dataset=CFS_GRIDMET&variable=pr&model=ens_max*temporal_statistic=Total&calculation=anom&start_day=day01&end_day=day28&start_year=1981&end_year=2010&colormap_opacity=0.7&colormap_type=continuous

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes		CFS_GRIDMET	CFS_GRIDMET
variable	yes	pet, pr, tmmx, tmmn		tmmx
model	yes	ens01 to en<xx> for individual models (see documentation), ens_min, ens_max, ens_mean, ens_median	ens_mean	ens_max
temporal_statistic	yes			mean, median, max, min, total
calculation	yes	Anomaly calculation		anom, anompercentof, anompercentchange
start_day	yes	day01 to day 28, start_day <= end_day	day01	day02
end_day	yes	day01 to day28, end_day >= start_day	day28	day15
start_year	yes	Start year for the climatology		1981
end_year	yes	End year for the climatology		2010
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[290.0,314.0]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[d8d8d8, 34addff, 35affa3, f2ff89, ff725c]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/percentiles

Generates a map of percentiles or rank of the dataset variable over the time period.

Percentile: Return a number between (percentile_step to 100) showing where the target period is

Rank: Return an integer between (0 to number of years in climatology). A value of 0 is below the lowest value in climatology. 1 is the lowest value in climatology.

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/percentiles?dataset=GRIDMET&variable=pr&temporal_statistic=Total&percentile_step=1&start_date=2016-08-01&end_date=2016-10-30&start_year=2014&end_year=2018&colormap_opacity=0.7&colormap_type=continuous

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
calculation	yes		percentile	percentile, rank
temporal_statistic	yes			mean, median, max, min, total
percentile_step	yes	difference between percentiles computed	1	0.5, 1 or 5
start_date	yes			2019-01-01
end_date	yes			2019-10-16
start_year	yes	Start year for the climatology		1981
end_year	yes	End year for the climatology		2010
colormap_min_max	no	Two data values corresponding to palette color bands	[0, 100]	[10,80]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[d8d8d8, 34addff, 35affa3, f2ff89, ff725c]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/forecasts/percentiles

Generates a map of forecasts percentiles or ranks of the dataset variable over the time period.

Percentile: Return a number between (percentile_step to 100) showing where the target period is

Rank: Return an integer between (0 to number of years in climatology). A value of 0 is below the lowest value in climatology. 1 is the lowest value in climatology.

Returns: Earth Engine mapid

NOTE: CFS_GRIDMET is the only valid dataset for this endpoint

because we have the GRIDMET base climatology dataset needed for the precentile computation.

Resource url example:

/raster/mapid/forecasts/percentiles?dataset=CFS_GRIDMET&variable=pr&model=ens_mean&temporal_statistic=Total&percentile_step=1&start_day=day01&end_day=day14&start_year=2014&end_year=2018&colormap_opacity=0.7&colormap_type=continuous

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes		CFS_GRIDMET	CFS_GRIDMET
variable	yes			tmmx
calculation	yes		percentile	percentile, rank
model	yes	ens01 to en<xx> for individual models (see documentation), ens_min, ens_max, ens_mean, ens_median	ens_mean	ens_max
temporal_statistic	yes			mean, median, max, min, total
percentile_step	yes	difference between percentiles computed	1	0.5, 1 or 5
start_day	yes	day01 to day 28, start_day <= end_day	day01	day02
end_day	yes	day01 to day28, end_day >= start_day	day07	day15
start_year	yes	Start year for the climatology		1981
end_year	yes	End year for the climatology		2010
colormap_min_max	no	Two data values corresponding to palette color bands	[0, 100]	[10,80]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[d8d8d8, 34addff, 35affa3, f2ff89, ff725c]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/standard_index

Generates a map of drought indices of the dataset variable over the time period.

Available variables: spi, spei, eddi, speih, edddih

Resource url example:

/raster/mapid/standard_index?dataset=GRIDMET&variable=eddi&start_date=2016-08-01&end_date=2016-10-30&start_year=2014&end_year=2018&colormap_opacity=0.7&colormap_type=continuous

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			spi
distribution	yes	nonparametric, gamma or loglogistic	nonparametric	gamma
start_date	yes			2019-01-01
end_date	yes			2019-10-16
start_year	yes	Start year for the climatology		1981
end_year	yes	End year for the climatology		2010
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[290.0,314.0]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[d8d8d8, 34addff, 35affa3, f2ff89, ff725c]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,50] or [0,50,70,80]

/raster/mapid/forecasts/standard_index

Generates a map of drought indices forecasts of the dataset variable over the time period.

Available variables by dataset:

CFS_GRIDMET: eddi

Resource url example:

/raster/mapid/forecasts/standard_index?dataset=CFS_GRIDMET&variable=eddi&model=ens21&time_step=wk1&colormap_opacity=0.7&colormap_type=continuous

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes		CFS_GRIDMET	CFS_GRIDMET
variable	yes		eddi	eddi
distribution	yes	nonparametric, gamma or loglogistic	nonparametric	gamma
model	yes	ens01 to en<xx> for individual models (see documentation), ens_min, ens_max, ens_mean, ens_median	ens	ens_max
time_step	yes	individual forecasts wk1, wk2, wk3, wk4 and means wk12, wk123, wk1234	wk1	wk123
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[290.0,314.0]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[d8d8d8, 34addff, 35affa3, f2ff89, ff725c]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/mann_kendall

Generates a map of Mann Kendall trends of the dataset variable over the time period.

mk_sen: Slope of trend (Sen’s slope)

mk_tau: Correlation of trend (Kendall Tau-b)

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/mann_kendall?dataset=LANDSAT7_TOA&variable=NDVI&temporal_statistic=Mean&calculation=mk_tau&p_value=0.5&start_season=05-01&end_season=07-30&start_year=2016&end_year=2018&colormap_opacity=0.7&colormap_type=continuous

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
temporal_statistic	yes			mean, median, max, min, total
calculation	yes	Sen’s Slope or Kendall Tau-b		mk_sen, mk_tau
p_value	no	Mann Kendall p-value mask	1.0	1.0 (all trends), 0.2 (80% confidence), 0.1, 0.05, 0.01
start_season	yes			01-01
end_season	yes			10-16
start_year	yes	Start year for the climatology		1981
end_year	yes	End year for the climatology		2010
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[290.0,314.0]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[d8d8d8, 34addff, 35affa3, f2ff89, ff725c]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/counts

Generates a map of counts/probabilities.

counts: Number of times between start date and end date that a pixel met the the selected operator’s criteria

probability: The count divided by the total number of data points considered

Will work for wrapping around years (e.g. water year)

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/counts?dataset=GRIDMET&variable=tmmx&operator=threshold_gte&output=counts&value_1=25&colormap_opacity=0.7&colormap_type=continuous&start_date=2010-01-01&end_date=2010-12-31

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
operator	yes	Type of operator - options include threshold, interior, exterior	threshold_gte	theshold_gt, threshold_gte, threshold_lt, threshold_lte, interior_eq, interior_neq, exterior_eq, exterior_neq
output	yes	Type of output	counts	counts, probability
value_1	yes	Value to apply operator to	25	25
value_2	no	Second value for interior/exterior operators
start_date	yes		2010-01-01	2023-01-01
end_date	yes		2010-12-31	2023-12-31
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[0,365]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[d8d8d8, 34addff, 35affa3, f2ff89, ff725c]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/count_climatologies

Generates a map of counts/probabilities climatologies.

counts: Number of times between start date and end date that a pixel met the the selected operator’s criteria

probability: The count divided by the total number of data points considered

Will work for wrapping around years (e.g. water year)

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/count_climatologies?dataset=GRIDMET&variable=tmmx&operator=threshold_gte&output=counts&value_1=25&colormap_opacity=0.7&colormap_type=continuous&start_season=01-01&end_season=12-31&start_year=2001&end_year=2020

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
operator	yes	Type of operator - options include threshold, interior, exterior	threshold_gte	theshold_gt, threshold_gte, threshold_lt, threshold_lte, interior_eq, interior_neq, exterior_eq, exterior_neq
output	yes	Type of output	counts	counts, probability
value_1	yes	Value to apply operator to	25	25
value_2	no	Second value for interior/exterior operators
start_season	yes		01-01	01-01
end_season	yes		12-31	12-31
start_year	yes		2001	2000
end_season	yes		2020	2023
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[0,365]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[d8d8d8, 34addff, 35affa3, f2ff89, ff725c]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/count_anomalies

Generates a map of counts/probabilities anomalies.

counts: Number of times between start date and end date that a pixel met the the selected operator’s criteria

probability: The count divided by the total number of data points considered

Will work for wrapping around years (e.g. water year)

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/count_anomalies?dataset=GRIDMET&variable=tmmx&operator=threshold_gte&output=counts&value_1=25&colormap_opacity=0.7&colormap_type=continuous&start_date=2010-01-01&end_date=2010-12-31&start_year=2001&end_year=2020&calculation=anom

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
operator	yes	Type of operator - options include threshold, interior, exterior	threshold_gte	theshold_gt, threshold_gte, threshold_lt, threshold_lte, interior_eq, interior_neq, exterior_eq, exterior_neq
output	yes	Type of output	counts	counts, probability
value_1	yes	Value to apply operator to	25	25
value_2	no	Second value for interior/exterior operators
calculation	yes		anom	anom
start_date	yes		2010-01-01	2023-01-01
end_date	yes		2010-12-31	2023-12-31
start_year	yes		2001	2000
end_season	yes		2020	2023
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[0,365]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[d8d8d8, 34addff, 35affa3, f2ff89, ff725c]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/count_mann_kendall

Generates a map of counts/probabilities trends.

counts: Number of times between start date and end date that a pixel met the the selected operator’s criteria

probability: The count divided by the total number of data points considered

Will work for wrapping around years (e.g. water year)

mk_sen: Slope of trend (Sen’s slope)

mk_tau: Correlation of trend (Kendall Tau-b)

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/count_mann_kendall?dataset=GRIDMET&variable=tmmx&operator=threshold_gte&output=counts&value_1=25&colormap_opacity=0.7&colormap_type=continuous&start_season=01-01&end_season=12-31&start_year=2001&end_year=2020&calculation=mk_tau&p_value=1

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
operator	yes	Type of operator - options include threshold, interior, exterior	threshold_gte	theshold_gt, threshold_gte, threshold_lt, threshold_lte, interior_eq, interior_neq, exterior_eq, exterior_neq
output	yes	Type of output	counts	counts, probability
value_1	yes	Value to apply operator to	25	25
value_2	no	Second value for interior/exterior operators
calculation	yes		mk_tau	mk_sen, mk_tau
p_value	no	Mann Kendall p-value mask	1.0	1.0 (all trends), 0.2 (80% confidence), 0.1, 0.05, 0.01
start_season	yes		01-01	01-01
end_season	yes		12-31	12-31
start_year	yes		2001	2000
end_season	yes		2020	2023
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[0,365]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[d8d8d8, 34addff, 35affa3, f2ff89, ff725c]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/date_threshold

Generates a map of dates that the given threshold value was met during a time period (defined by start_date and end_date).

Selecting threshold_max and threshold_min returns date when max/min values were met during the time period.

Occurrence allows you to select first or last time a threshold is met during the time period. For Min/Max thresholds, occurrence values will be the same.

Will work for wrapping around years and for both climate and remote sensing assets.

The units returned is in milliseconds since 1970-01-01.

A masked value indicates threshold value was not passed.

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/date_threshold?dataset=GRIDMET&variable=tmmx&operator=threshold_max&colormap_opacity=0.7&colormap_type=continuous&start_date=2010-01-01&end_date=2010-12-31

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
operator	yes	Type of threshold to apply	threshold_max	threshold_max, threshold_min, threshold_gt, threshold_gte, threshold_lte, threshold_lt
occurrence	yes	Timing of when threshold was met	first	first, last
value	no	Value for thresholding, only applies to threshold_gt, threshold_gte, threshold_lte, threshold_lt		32
start_date	yes		2010-01-01	2010-01-01
end_date	yes		2010-12-31	2020-12-31
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[0,1734137463620]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[eeaf61, fb9062, ee5d6c, ce4993, 6a0d83]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/date_threshold_climatologies

Generates a map of average time since the provided start_season (in milliseconds) that the given threshold value was met during a time period (defined by start_season and end_season) over a set of years.

Selecting threshold_max and threshold_min returns date when max/min values were met during the time period.

Occurrence allows you to select first or last time a threshold is met during the time period. For Min/Max thresholds, occurrence values will be the same.

Will work for wrapping around years and for both climate and remote sensing assets.

The units returned are in milliseconds since the start day-month of climatology season.

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/date_threshold_climatologies?dataset=GRIDMET&variable=tmmx&operator=threshold_max&colormap_opacity=0.7&colormap_type=continuous&start_season=01-01&end_season=12-31&start_year=2001&end_year=2020

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
operator	yes	Type of threshold to apply	threshold_max	threshold_max, threshold_min, threshold_gt, threshold_gte, threshold_lte, threshold_lt
occurrence	yes	Timing of when threshold was met	first	first, last
value	no	Value for thresholding, only applies to threshold_gt, threshold_gte, threshold_lte, threshold_lt		32
start_season	yes		01-01	01-01
end_season	yes		12-31	12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[0,6739200000]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[eeaf61, fb9062, ee5d6c, ce4993, 6a0d83]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/date_threshold_anomalies

Generates a map of the difference in time (milliseconds, or percent) between the time when the target period threshold is met and the average time when the threshold is met over the climatology time period.

Selecting threshold_max and threshold_min returns date when max/min values were met during the time period.

Occurrence allows you to select first or last time a threshold is met during the time period. For Min/Max thresholds, occurrence values will be the same.

Will work for wrapping around years and for both climate and remote sensing assets.

The units returned are in milliseconds difference if anom is chosen. Otherwise it is a percentage.

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/date_threshold_anomalies?dataset=GRIDMET&variable=tmmx&operator=threshold_max&colormap_opacity=0.7&colormap_type=continuous&start_date=2010-01-01&end_date=2010-12-31&start_year=2001&end_year=2020&calculation=anom

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
operator	yes	Type of threshold to apply	threshold_max	threshold_max, threshold_min, threshold_gt, threshold_gte, threshold_lte, threshold_lt
occurrence	yes	Timing of when threshold was met	first	first, last
value	no	Value for thresholding, only applies to threshold_gt, threshold_gte, threshold_lte, threshold_lt		32
start_date	yes		2010-01-01	2010-01-01
end_date	yes		2010-12-31	2010-12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
calculation	yes	Anomaly calculation	anom	anom, anompercentof, anompercentchange
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[0,1728000000]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[eeaf61, fb9062, ee5d6c, ce4993, 6a0d83]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/date_threshold_mann_kendall

Generates a map of the trend of time (milliseconds per year) since the start month-month over a set of years.

Selecting threshold_max and threshold_min returns date when max/min values were met during the time period.

Occurrence allows you to select first or last time a threshold is met during the time period. For Min/Max thresholds, occurrence values will be the same.

Will work for wrapping around years and for both climate and remote sensing assets.

The units for the slope are in milliseconds per year.

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/date_threshold_mann_kendall?dataset=GRIDMET&variable=tmmx&operator=threshold_max&colormap_opacity=0.7&colormap_type=continuous&start_season=01-01&end_season=12-31&start_year=2001&end_year=2020&calculation=mk_sen&p_value=1

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmmx
operator	yes	Type of threshold to apply	threshold_max	threshold_max, threshold_min, threshold_gt, threshold_gte, threshold_lte, threshold_lt
occurrence	yes	Timing of when threshold was met	first	first, last
value	no	Value for thresholding, only applies to threshold_gt, threshold_gte, threshold_lte, threshold_lt		32
start_season	yes		01-01	01-01
end_season	yes		12-31	12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
calculation	yes	Sen’s Slope or Kendall Tau-b	mk_sen	mk_sen, mk_tau
p_value	no	Mann Kendall p-value mask	1.0	1.0 (all trends), 0.2 (80% confidence), 0.1, 0.05, 0.01
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[0,259200000]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[eeaf61, fb9062, ee5d6c, ce4993, 6a0d83]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/degree_days

Generates a map of the heating degree or cooling degree days.

Heating degree days count how many degree days are below the base temperature (how much heating is required).

Cooling degree days count how many degree days are above the base temperature (how much cooling is required).

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/degree_days?dataset=GRIDMET&variable=tmean&dd_type=hdd&value=18.3&colormap_opacity=0.7&colormap_type=continuous&start_date=2010-01-01&end_date=2010-12-31

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmean
dd_type	yes	heating or cooling degree days	hdd	hdd, cdd
value	no	Standard Threshold		18.3
start_date	yes		2010-01-01	2010-01-01
end_date	yes		2010-12-31	2010-12-31
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[0,365]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[eeaf61, fb9062, ee5d6c, ce4993, 6a0d83]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/degree_days/climatologies

Generates a map of the average heating degree or cooling degree days over a time period.

Heating degree days count how many degree days are below the base temperature (how much heating is required).

Cooling degree days count how many degree days are above the base temperature (how much cooling is required).

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/degree_days/climatologies?dataset=GRIDMET&variable=tmean&dd_type=hdd&value=18.3&colormap_opacity=0.7&colormap_type=continuous&start_season=01-01&end_season=12-31&start_year=2001&end_year=2020

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmean
dd_type	yes	heating or cooling degree days	hdd	hdd, cdd
value	no	Standard Threshold		18.3
start_season	yes		01-01	01-01
end_season	yes		12-31	12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[0,365]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[eeaf61, fb9062, ee5d6c, ce4993, 6a0d83]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/degree_days/anomalies

Generates a map of the difference heating degree or cooling degree days over a time period relative to a climatology.

Heating degree days count how many degree days are below the base temperature (how much heating is required).

Cooling degree days count how many degree days are above the base temperature (how much cooling is required).

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/degree_days/anomalies?dataset=GRIDMET&variable=tmean&dd_type=hdd&value=18.3&colormap_opacity=0.7&colormap_type=continuous&start_date=2010-01-01&end_date=2010-12-31&start_year=2001&end_year=2020&calculation=anom

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmean
dd_type	yes	heating or cooling degree days	hdd	hdd, cdd
value	no	Standard Threshold		18.3
start_date	yes		2010-01-01	2010-01-01
end_date	yes		2010-12-31	2010-12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
calculation	yes	Anomaly calculation	anom	anom, anompercentof, anompercentchange
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[0,365]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[eeaf61, fb9062, ee5d6c, ce4993, 6a0d83]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/degree_days/mann_kendall

Generates a map of the trend of heating degree or cooling degree days over a set of years.

Heating degree days count how many degree days are below the base temperature (how much heating is required).

Cooling degree days count how many degree days are above the base temperature (how much cooling is required).

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/degree_days/mann_kendall?dataset=GRIDMET&variable=tmean&dd_type=hdd&value=18.3&colormap_opacity=0.7&colormap_type=continuous&start_season=01-01&end_season=12-31&start_year=2001&end_year=2020&calculation=mk_sen&p_value=1

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable	yes			tmean
dd_type	yes	heating or cooling degree days	hdd	hdd, cdd
value	no	Standard Threshold		18.3
start_season	yes		01-01	01-01
end_season	yes		12-31	12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
calculation	yes	Sen’s Slope or Kendall Tau-b	mk_sen	mk_sen, mk_tau
p_value	yes	Mann Kendall p-value mask	1.0	1.0 (all trends), 0.2 (80% confidence), 0.1, 0.05, 0.01
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[0,365]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[eeaf61, fb9062, ee5d6c, ce4993, 6a0d83]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/growing_degree_days

Generates a map of the growing degree days.

Growing Degree Days (GDD) are a measure of heat accumulation used to predict plant and insect development based on temperature.

GDD is calculated using a base temperature below which growth does not occur, and an upper cutoff temperature above which growth is limited.

The default values used here are for corn.

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/growing_degree_days?dataset=GRIDMET&variable_tmax=tmmx&variable_tmin=tmmn&base_threshold=10&cutoff_threshold=30&colormap_opacity=0.7&colormap_type=continuous&start_date=2010-01-01&end_date=2010-12-31

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable_tmax	yes		tmmx	tmmx
variable_tmin	yes		tmmn	tmmn
base_threshold	yes	base threshold temperature	10	10
cutoff_threshold	no	cutoff threshold temperature	30	30
start_date	yes		2010-01-01	2010-01-01
end_date	yes		2010-12-31	2010-12-31
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[0,365]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[eeaf61, fb9062, ee5d6c, ce4993, 6a0d83]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/growing_degree_days/climatologies

Generates a map of the average growing degree days over a time period.

Growing Degree Days (GDD) are a measure of heat accumulation used to predict plant and insect development based on temperature.

GDD is calculated using a base temperature below which growth does not occur, and an upper cutoff temperature above which growth is limited.

The default values used here are for corn.

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/growing_degree_days/climatologies?dataset=GRIDMET&variable_tmax=tmmx&variable_tmin=tmmn&base_threshold=10&cutoff_threshold=30&colormap_opacity=0.7&colormap_type=continuous&start_season=01-01&end_season=12-31&start_year=2001&end_year=2020

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable_tmax	yes		tmmx	tmmx
variable_tmin	yes		tmmn	tmmn
base_threshold	yes	base threshold temperature	10	10
cutoff_threshold	no	cutoff threshold temperature	30	30
start_season	yes		01-01	01-01
end_season	yes		12-31	12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[0,365]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[eeaf61, fb9062, ee5d6c, ce4993, 6a0d83]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/growing_degree_days/anomalies

Generates a map of the difference in growing degree days over a time period relative to a climatology.

Growing Degree Days (GDD) are a measure of heat accumulation used to predict plant and insect development based on temperature.

GDD is calculated using a base temperature below which growth does not occur, and an upper cutoff temperature above which growth is limited.

The default values used here are for corn.

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/growing_degree_days/anomalies?dataset=GRIDMET&variable_tmax=tmmx&variable_tmin=tmmn&base_threshold=10&cutoff_threshold=30&colormap_opacity=0.7&colormap_type=continuous&start_date=2010-01-01&end_date=2010-12-31&start_year=2001&end_year=2020&calculation=anom

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable_tmax	yes		tmmx	tmmx
variable_tmin	yes		tmmn	tmmn
base_threshold	yes	base threshold temperature	10	10
cutoff_threshold	no	cutoff threshold temperature	30	30
start_date	yes		2010-01-01	2010-01-01
end_date	yes		2010-12-31	2010-12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
calculation	yes	Anomaly calculation	anom	anom, anompercentof, anompercentchange
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[0,365]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[eeaf61, fb9062, ee5d6c, ce4993, 6a0d83]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]

/raster/mapid/growing_degree_days/mann_kendall

Generates a map of the trend of growing degree days over a set of years.

Growing Degree Days (GDD) are a measure of heat accumulation used to predict plant and insect development based on temperature.

GDD is calculated using a base temperature below which growth does not occur, and an upper cutoff temperature above which growth is limited.

The default values used here are for corn.

Returns: Earth Engine mapid

Resource url example:

/raster/mapid/growing_degree_days/mann_kendall?dataset=GRIDMET&variable_tmax=tmmx&variable_tmin=tmmn&base_threshold=10&cutoff_threshold=30&colormap_opacity=0.7&colormap_type=continuous&start_season=01-01&end_season=12-31&start_year=2001&end_year=2020&calculation=mk_sen&p_value=1

NAME	REQUIRED	DESCRIPTION	DEFAULT	EXAMPLE
dataset	yes			GRIDMET
variable_tmax	yes		tmmx	tmmx
variable_tmin	yes		tmmn	tmmn
base_threshold	yes	base threshold temperature	10	10
cutoff_threshold	no	cutoff threshold temperature	30	30
start_season	yes		01-01	01-01
end_season	yes		12-31	12-31
start_year	yes		2001	2001
end_year	yes		2020	2020
calculation	yes	Sen’s Slope or Kendall Tau-b	mk_sen	mk_sen, mk_tau
p_value	yes	Mann Kendall p-value mask	1.0	1.0 (all trends), 0.2 (80% confidence), 0.1, 0.05, 0.01
colormap_min_max	no	Two data values corresponding to palette color bands	Depends on parameter combination	[0,365]
colormap_opacity	no	Values between 0 (transparent) and 1	0.7	0.4
colormap_palette	no	List of colors in hex	Depends on dataset and variable	[eeaf61, fb9062, ee5d6c, ce4993, 6a0d83]
colormap_type	no		continuous	continuous, discrete
colormap_mask	no	Show ranges of data on the map		[0,200] or [0,200,300,400]