dataset: NLDAS_NOAH0125_D_002_EVPsfc_CONUS.nc

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Global Attributes	NC_GLOBAL creator_name: Gonzalo E. Espinoza-D\303\241valos creator_email: gespinoza@utexas.edu creator_url: gespinoza.org keywords: nldas, land-surface models, evapotranspiration 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-D\303\241valos, 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-D\303\241valos, G. E., Arctur, D. K., Teng, W., Maidment, D. R., Garc\303\255a-Mart\303\255, I., & Comair, G. (2016). Studying soil moisture at a national level through statistical analysis of NASA NLDAS data. Journal of Hydroinformatics, 18(2), 277\342\200\223287. 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: 25.12500000000000 geospatial_lat_max: 49.50000000000000 geospatial_lon_max: -67.00000000000000 geospatial_lon_min: -124.7500000000000 contributor_name: title: Spatial-temporal statistics of daily evapotranspiration data from the NLDAS model (1979-2013) summary: The data set contains the daily statistics for the EVPsfc variable (total evapotranspiration) 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, 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 authors_names: Gonzalo E. Espinoza-D\303\241valos, 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

Variables	latitude[ latitude= 0 ..194] (Type is Float32) attributes _FillValue: -9999.00000 units: degrees_north standard_name: latitude axis: Y longitude[ longitude= 0 ..461] (Type is Float32) attributes _FillValue: -9999.00000 units: degrees_east standard_name: longitude axis: X time[ time= 0 ..365] (Type is Int32) attributes _FillValue: -9999 standard_name: time calendar: gregorian time_step: Day units: Day of the year (leap year) axis: T crs(Type is Int32) attributes grid_mapping_name: latitude_longitude 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]] mean[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: daily mean param_short_name: EVPsfc grid_mapping: crs comment: Mean value of the day of the of the year param_name: total evapotranspiration sd[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: daily standard deviation param_short_name: EVPsfc grid_mapping: crs comment: Standard deviation of the day of the year param_name: total evapotranspiration min[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: minimum param_short_name: EVPsfc grid_mapping: crs comment: Minimum value of the day of the year param_name: total evapotranspiration max[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: maximum param_short_name: EVPsfc grid_mapping: crs comment: Maximum value of the day of the year param_name: total evapotranspiration p05[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.05 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.05 percentile of the day of the year param_name: total evapotranspiration p10[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.10 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.10 percentile of the day of the year param_name: total evapotranspiration p15[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.15 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.15 percentile of the day of the year param_name: total evapotranspiration p20[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.20 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.20 percentile of the day of the year param_name: total evapotranspiration p25[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.25 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.25 percentile of the day of the year param_name: total evapotranspiration p30[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.30 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.30 percentile of the day of the year param_name: total evapotranspiration p35[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.35 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.35 percentile of the day of the year param_name: total evapotranspiration p40[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.40 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.40 percentile of the day of the year param_name: total evapotranspiration p45[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.45 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.45 percentile of the day of the year param_name: total evapotranspiration p50[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.50 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.50 percentile of the day of the year param_name: total evapotranspiration p55[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.55 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.55 percentile of the day of the year param_name: total evapotranspiration p60[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.60 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.60 percentile of the day of the year param_name: total evapotranspiration p65[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.65 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.65 percentile of the day of the year param_name: total evapotranspiration p70[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.70 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.70 percentile of the day of the year param_name: total evapotranspiration p75[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.75 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.75 percentile of the day of the year param_name: total evapotranspiration p80[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.80 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.80 percentile of the day of the year param_name: total evapotranspiration p85[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.85 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.85 percentile of the day of the year param_name: total evapotranspiration p90[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.90 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.90 percentile of the day of the year param_name: total evapotranspiration p95[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: kg/m^2 long_name: 0.95 percentile param_short_name: EVPsfc grid_mapping: crs comment: 0.95 percentile of the day of the year param_name: total evapotranspiration p_value[ time= 0 ..365] [ latitude= 0 ..194] [ longitude= 0 ..461] (Grid of Float32 values) attributes _FillValue: -9999.00000 units: - long_name: p-value param_short_name: EVPsfc param_name: EVPsfc grid_mapping: crs comment: P-value of the Kolmogorov-Smirnov goodness-of-fit test for a gamma theoretical distribution

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dataset: NLDAS_NOAH0125_D_002_EVPsfc_CONUS.nc

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