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Spatial-temporal statistics of daily surface runoff data from the NLDAS model (1979-2013)


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Resource type: Multidimensional (NetCDF)
Storage: The size of this resource is 3.1 GB
Created: Jan 24, 2017 at 8:34 p.m.
Last updated: Jan 29, 2017 at 8:23 p.m.
DOI: 10.4211/hs.fbc7af608a324a7a9cbbdd415d0a9499
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Sharing Status: Published
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Abstract

The data set contains the daily statistics for the SSRUNsfc variable (surface runoff - non-infiltrating) of the North American Land Data Assimilation System Version 2 (NLDAS-2) model. The period of analysis is from 1979-01-02 to 2013-12-31. The statistics for each calendar month are the mean, standard deviation, minimum, maximum, probability of event, and percentiles in 0.05 interval. The data set also includes a p-value per calendar day of the Kolmogorov-Smirnov (KS) test. The p-value of the KS test shows if the computed empirical cumulative distribution function (CDF) comes from a fitted gamma distribution given that there was a runoff event.

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Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
49.5000°
East Longitude
-67.0000°
South Latitude
25.1250°
West Longitude
-124.7500°

Temporal

Start Date:
End Date:

Content

Resource Specific

Spatial Reference
Coordinate Reference System 'GCS_WGS_1984'
Datum 'D_WGS_1984'
Coordinate String Type WKT String
Coordinate String GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]]

Extent

North 49.5
East -67.0
South 25.125
West -124.75
Extent Unitdegree
Variables
p60
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.60 percentile
Comment 0.60 percentile of the day of the year
p65
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.65 percentile
Comment 0.65 percentile of the day of the year
p80
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.80 percentile
Comment 0.80 percentile of the day of the year
p85
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.85 percentile
Comment 0.85 percentile of the day of the year
p25
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.25 percentile
Comment 0.25 percentile of the day of the year
p20
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.20 percentile
Comment 0.20 percentile of the day of the year
p05
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.05 percentile
Comment 0.05 percentile of the day of the year
p45
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.45 percentile
Comment 0.45 percentile of the day of the year
p40
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.40 percentile
Comment 0.40 percentile of the day of the year
min
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name minimum
Comment Minimum value of the day of the year
prob_evt
Unit -
Type Float
Shape time,latitude,longitude
Long Name Probability of event
Comment Probability of runoff on that day of the year
latitude
Unit degrees_north
Type Float
Shape latitude
p75
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.75 percentile
Comment 0.75 percentile of the day of the year
p70
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.70 percentile
Comment 0.70 percentile of the day of the year
p_value
Unit -
Type Float
Shape time,latitude,longitude
Long Name p-value
Comment P-value of the Kolmogorov-Smirnov goodness-of-fit test for a gamma theoretical distribution
p90
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.90 percentile
Comment 0.90 percentile of the day of the year
max
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name maximum
Comment Maximum value of the day of the year
p95
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.95 percentile
Comment 0.95 percentile of the day of the year
p10
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.10 percentile
Comment 0.10 percentile of the day of the year
p15
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.15 percentile
Comment 0.15 percentile of the day of the year
p55
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.55 percentile
Comment 0.55 percentile of the day of the year
p30
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.30 percentile
Comment 0.30 percentile of the day of the year
p50
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.50 percentile
Comment 0.50 percentile of the day of the year
p35
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name 0.35 percentile
Comment 0.35 percentile of the day of the year
crs
Unit Unknown
Type Unknown
Shape Not defined
longitude
Unit degrees_east
Type Float
Shape longitude
time
Unit Day of the year (leap year)
Type Int
Shape time
mean
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name daily mean
Comment Mean value of the day of the of the year
sd
Unit kg/m^2
Type Float
Shape time,latitude,longitude
Long Name daily standard deviation
Comment Standard deviation of the day of the year
NetCDF Header Info

NLDAS_NOAH0125_D_002_SSRUNsfc_CONUS_header_info.txt

netcdf SurfaceRunoff_daily {
dimensions:
	latitude = 195 ;
	longitude = 462 ;
	time = 366 ;
variables:
	float latitude(latitude) ;
		latitude:_FillValue = -9999.f ;
		latitude:units = "degrees_north" ;
		latitude:standard_name = "latitude" ;
		latitude:axis = "Y" ;
	float longitude(longitude) ;
		longitude:_FillValue = -9999.f ;
		longitude:units = "degrees_east" ;
		longitude:standard_name = "longitude" ;
		longitude:axis = "X" ;
	int time(time) ;
		time:_FillValue = -9999 ;
		time:standard_name = "time" ;
		time:calendar = "gregorian" ;
		time:time_step = "Day" ;
		time:units = "Day of the year (leap year)" ;
		time:axis = "T" ;
	int crs ;
		crs:grid_mapping_name = "latitude_longitude" ;
		crs:crs_wkt = "GEOGCS[\'GCS_WGS_1984\',DATUM[\'D_WGS_1984\',SPHEROID[\'WGS_1984\',6378137.0,298.257223563]],PRIMEM[\'Greenwich\',0.0],UNIT[\'Degree\',0.0174532925199433]]" ;
	float mean(time, latitude, longitude) ;
		mean:_FillValue = -9999.f ;
		mean:units = "kg/m^2" ;
		mean:long_name = "daily mean" ;
		mean:param_short_name = "SSRUNsfc" ;
		mean:grid_mapping = "crs" ;
		mean:comment = "Mean value of the day of the of the year" ;
		mean:param_name = "surface runoff - non-infiltrating" ;
	float sd(time, latitude, longitude) ;
		sd:_FillValue = -9999.f ;
		sd:units = "kg/m^2" ;
		sd:long_name = "daily standard deviation" ;
		sd:param_short_name = "SSRUNsfc" ;
		sd:grid_mapping = "crs" ;
		sd:comment = "Standard deviation of the day of the year" ;
		sd:param_name = "surface runoff - non-infiltrating" ;
	float min(time, latitude, longitude) ;
		min:_FillValue = -9999.f ;
		min:units = "kg/m^2" ;
		min:long_name = "minimum" ;
		min:param_short_name = "SSRUNsfc" ;
		min:grid_mapping = "crs" ;
		min:comment = "Minimum value of the day of the year" ;
		min:param_name = "surface runoff - non-infiltrating" ;
	float max(time, latitude, longitude) ;
		max:_FillValue = -9999.f ;
		max:units = "kg/m^2" ;
		max:long_name = "maximum" ;
		max:param_short_name = "SSRUNsfc" ;
		max:grid_mapping = "crs" ;
		max:comment = "Maximum value of the day of the year" ;
		max:param_name = "surface runoff - non-infiltrating" ;
	float p05(time, latitude, longitude) ;
		p05:_FillValue = -9999.f ;
		p05:units = "kg/m^2" ;
		p05:long_name = "0.05 percentile" ;
		p05:param_short_name = "SSRUNsfc" ;
		p05:grid_mapping = "crs" ;
		p05:comment = "0.05 percentile of the day of the year" ;
		p05:param_name = "surface runoff - non-infiltrating" ;
	float p10(time, latitude, longitude) ;
		p10:_FillValue = -9999.f ;
		p10:units = "kg/m^2" ;
		p10:long_name = "0.10 percentile" ;
		p10:param_short_name = "SSRUNsfc" ;
		p10:grid_mapping = "crs" ;
		p10:comment = "0.10 percentile of the day of the year" ;
		p10:param_name = "surface runoff - non-infiltrating" ;
	float p15(time, latitude, longitude) ;
		p15:_FillValue = -9999.f ;
		p15:units = "kg/m^2" ;
		p15:long_name = "0.15 percentile" ;
		p15:param_short_name = "SSRUNsfc" ;
		p15:grid_mapping = "crs" ;
		p15:comment = "0.15 percentile of the day of the year" ;
		p15:param_name = "surface runoff - non-infiltrating" ;
	float p20(time, latitude, longitude) ;
		p20:_FillValue = -9999.f ;
		p20:units = "kg/m^2" ;
		p20:long_name = "0.20 percentile" ;
		p20:param_short_name = "SSRUNsfc" ;
		p20:grid_mapping = "crs" ;
		p20:comment = "0.20 percentile of the day of the year" ;
		p20:param_name = "surface runoff - non-infiltrating" ;
	float p25(time, latitude, longitude) ;
		p25:_FillValue = -9999.f ;
		p25:units = "kg/m^2" ;
		p25:long_name = "0.25 percentile" ;
		p25:param_short_name = "SSRUNsfc" ;
		p25:grid_mapping = "crs" ;
		p25:comment = "0.25 percentile of the day of the year" ;
		p25:param_name = "surface runoff - non-infiltrating" ;
	float p30(time, latitude, longitude) ;
		p30:_FillValue = -9999.f ;
		p30:units = "kg/m^2" ;
		p30:long_name = "0.30 percentile" ;
		p30:param_short_name = "SSRUNsfc" ;
		p30:grid_mapping = "crs" ;
		p30:comment = "0.30 percentile of the day of the year" ;
		p30:param_name = "surface runoff - non-infiltrating" ;
	float p35(time, latitude, longitude) ;
		p35:_FillValue = -9999.f ;
		p35:units = "kg/m^2" ;
		p35:long_name = "0.35 percentile" ;
		p35:param_short_name = "SSRUNsfc" ;
		p35:grid_mapping = "crs" ;
		p35:comment = "0.35 percentile of the day of the year" ;
		p35:param_name = "surface runoff - non-infiltrating" ;
	float p40(time, latitude, longitude) ;
		p40:_FillValue = -9999.f ;
		p40:units = "kg/m^2" ;
		p40:long_name = "0.40 percentile" ;
		p40:param_short_name = "SSRUNsfc" ;
		p40:grid_mapping = "crs" ;
		p40:comment = "0.40 percentile of the day of the year" ;
		p40:param_name = "surface runoff - non-infiltrating" ;
	float p45(time, latitude, longitude) ;
		p45:_FillValue = -9999.f ;
		p45:units = "kg/m^2" ;
		p45:long_name = "0.45 percentile" ;
		p45:param_short_name = "SSRUNsfc" ;
		p45:grid_mapping = "crs" ;
		p45:comment = "0.45 percentile of the day of the year" ;
		p45:param_name = "surface runoff - non-infiltrating" ;
	float p50(time, latitude, longitude) ;
		p50:_FillValue = -9999.f ;
		p50:units = "kg/m^2" ;
		p50:long_name = "0.50 percentile" ;
		p50:param_short_name = "SSRUNsfc" ;
		p50:grid_mapping = "crs" ;
		p50:comment = "0.50 percentile of the day of the year" ;
		p50:param_name = "surface runoff - non-infiltrating" ;
	float p55(time, latitude, longitude) ;
		p55:_FillValue = -9999.f ;
		p55:units = "kg/m^2" ;
		p55:long_name = "0.55 percentile" ;
		p55:param_short_name = "SSRUNsfc" ;
		p55:grid_mapping = "crs" ;
		p55:comment = "0.55 percentile of the day of the year" ;
		p55:param_name = "surface runoff - non-infiltrating" ;
	float p60(time, latitude, longitude) ;
		p60:_FillValue = -9999.f ;
		p60:units = "kg/m^2" ;
		p60:long_name = "0.60 percentile" ;
		p60:param_short_name = "SSRUNsfc" ;
		p60:grid_mapping = "crs" ;
		p60:comment = "0.60 percentile of the day of the year" ;
		p60:param_name = "surface runoff - non-infiltrating" ;
	float p65(time, latitude, longitude) ;
		p65:_FillValue = -9999.f ;
		p65:units = "kg/m^2" ;
		p65:long_name = "0.65 percentile" ;
		p65:param_short_name = "SSRUNsfc" ;
		p65:grid_mapping = "crs" ;
		p65:comment = "0.65 percentile of the day of the year" ;
		p65:param_name = "surface runoff - non-infiltrating" ;
	float p70(time, latitude, longitude) ;
		p70:_FillValue = -9999.f ;
		p70:units = "kg/m^2" ;
		p70:long_name = "0.70 percentile" ;
		p70:param_short_name = "SSRUNsfc" ;
		p70:grid_mapping = "crs" ;
		p70:comment = "0.70 percentile of the day of the year" ;
		p70:param_name = "surface runoff - non-infiltrating" ;
	float p75(time, latitude, longitude) ;
		p75:_FillValue = -9999.f ;
		p75:units = "kg/m^2" ;
		p75:long_name = "0.75 percentile" ;
		p75:param_short_name = "SSRUNsfc" ;
		p75:grid_mapping = "crs" ;
		p75:comment = "0.75 percentile of the day of the year" ;
		p75:param_name = "surface runoff - non-infiltrating" ;
	float p80(time, latitude, longitude) ;
		p80:_FillValue = -9999.f ;
		p80:units = "kg/m^2" ;
		p80:long_name = "0.80 percentile" ;
		p80:param_short_name = "SSRUNsfc" ;
		p80:grid_mapping = "crs" ;
		p80:comment = "0.80 percentile of the day of the year" ;
		p80:param_name = "surface runoff - non-infiltrating" ;
	float p85(time, latitude, longitude) ;
		p85:_FillValue = -9999.f ;
		p85:units = "kg/m^2" ;
		p85:long_name = "0.85 percentile" ;
		p85:param_short_name = "SSRUNsfc" ;
		p85:grid_mapping = "crs" ;
		p85:comment = "0.85 percentile of the day of the year" ;
		p85:param_name = "surface runoff - non-infiltrating" ;
	float p90(time, latitude, longitude) ;
		p90:_FillValue = -9999.f ;
		p90:units = "kg/m^2" ;
		p90:long_name = "0.90 percentile" ;
		p90:param_short_name = "SSRUNsfc" ;
		p90:grid_mapping = "crs" ;
		p90:comment = "0.90 percentile of the day of the year" ;
		p90:param_name = "surface runoff - non-infiltrating" ;
	float p95(time, latitude, longitude) ;
		p95:_FillValue = -9999.f ;
		p95:units = "kg/m^2" ;
		p95:long_name = "0.95 percentile" ;
		p95:param_short_name = "SSRUNsfc" ;
		p95:grid_mapping = "crs" ;
		p95:comment = "0.95 percentile of the day of the year" ;
		p95:param_name = "surface runoff - non-infiltrating" ;
	float p_value(time, latitude, longitude) ;
		p_value:_FillValue = -9999.f ;
		p_value:units = "-" ;
		p_value:long_name = "p-value" ;
		p_value:param_short_name = "SSRUNsfc" ;
		p_value:param_name = "SSRUNsfc" ;
		p_value:grid_mapping = "crs" ;
		p_value:comment = "P-value of the Kolmogorov-Smirnov goodness-of-fit test for a gamma theoretical distribution" ;
	float prob_evt(time, latitude, longitude) ;
		prob_evt:_FillValue = -9999.f ;
		prob_evt:units = "-" ;
		prob_evt:long_name = "Probability of event" ;
		prob_evt:param_short_name = "SSRUNsfc" ;
		prob_evt:grid_mapping = "crs" ;
		prob_evt:comment = "Probability of runoff on that day of the year" ;
		prob_evt:param_name = "surface runoff - non-infiltrating" ;

// global attributes:
		:creator_name = "Gonzalo E. Espinoza-Dávalos" ;
		:creator_email = "gespinoza@utexas.edu" ;
		:creator_url = "gespinoza.org" ;
		:license = "This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. https://creativecommons.org/licenses/by-nc/4.0/" ;
		:references = "Espinoza-Dávalos, G. E. (2016). Large-scale statistical analysis of NLDAS variables and hydrologic web applications. The University of Texas at Austin. Retrieved from http://hdl.handle.net/2152/39608; Espinoza-Dávalos, G. E., Arctur, D. K., Teng, W., Maidment, D. R., García-Martí, I., & Comair, G. (2016). Studying soil moisture at a national level through statistical analysis of NASA NLDAS data. Journal of Hydroinformatics, 18(2), 277–287. http://doi.org/10.2166/hydro.2015.231" ;
		:source = "NLDAS-2" ;
		:time_coverage_start = "1979-01-02" ;
		:time_coverage_end = "2013-12-31" ;
		:geospatial_lat_min = 25.125 ;
		:geospatial_lat_max = 49.5 ;
		:geospatial_lon_max = -67. ;
		:geospatial_lon_min = -124.75 ;
		:contributor_name = "" ;
		:title = "Spatial-temporal statistics of daily surface runoff data from the NLDAS model (1979-2013)" ;
		:keywords = "nldas, land-surface models, surface runoff" ;
		:summary = "The data set contains the daily statistics for the SSRUNsfc variable (surface runoff - non-infiltrating) of the North American Land Data Assimilation System Version 2 (NLDAS-2) model. The period of analysis is from 1979-01-02 to 2013-12-31. The statistics for each calendar month are the mean, standard deviation, minimum, maximum, probability of event, and percentiles in 0.05 interval. The data set also includes a p-value per calendar day of the Kolmogorov-Smirnov (KS) test. The p-value of the KS test shows if the computed empirical cumulative distribution function (CDF) comes from a fitted gamma distribution given that there was a runoff event." ;
		:authors_names = "Gonzalo E. Espinoza-Dávalos, David Maidment, David K. Arctur, William Teng, Georges Comair" ;
		:authors_organizations = "UNESCO-IHE Institute for Water Education, The University of Texas at Austin, The University of Texas at Austin, NASA Goddard Earth Sciences Data and Information Services Center (ADNET Systems), World Bank" ;
}

References

Sources

Derived From: NLDAS-2

Related Resources

This resource cites: Espinoza-Dávalos, G. E., Arctur, D. K., Teng, W., Maidment, D. R., García-Martí, I., & Comair, G. (2016). Studying soil moisture at a national level through statistical analysis of NASA NLDAS data. Journal of Hydroinformatics, 18(2), 277–287.
This resource cites: Espinoza-Dávalos, G. E. (2016). Large-scale statistical analysis of NLDAS variables and hydrologic web applications. The University of Texas at Austin. Retrieved from http://hdl.handle.net/2152/39608

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
NASA ROSES NNH11ZDA001N-ACCESS: Bridging the Digital Divide
Texas Advanced Computing Center (TACC)

How to Cite

Espinoza-Dávalos, G., D. Maidment, D. Arctur, W. Teng, G. Comair (2017). Spatial-temporal statistics of daily surface runoff data from the NLDAS model (1979-2013), HydroShare, https://doi.org/10.4211/hs.fbc7af608a324a7a9cbbdd415d0a9499

This resource is shared under the Creative Commons Attribution-NoCommercial CC BY-NC.

 http://creativecommons.org/licenses/by-nc/4.0/
CC-BY-NC

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