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Data for the catchment-scale groundwater recharge and vegetation water use efficiency estimation

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Created: Oct 25, 2017 at 6:03 p.m.
Last updated: Feb 20, 2018 at 11:34 p.m.
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Daily evaporation, precipitation, streamflow and maximum and minimum temperature for 431 MOPEX catchments and other catchment properties such as drainage area, elevation and slope used to estimate catchment scale groundwater recharge, deep storage and vegetation water use efficiency. Geospatial catchment properties were derived from 90 m SRTM elevation dataset.

Data resources:

Schaake J., S. Cong, and Q Duan (2006) U.S.MOPEX Data Set. Available at:

North American Regional Reanalysis (NARR) data available at:
and the data description can be found at:

NASA JPL. (2013). NASA Shuttle Radar Topography Mission Global 3 arc second [Data set]. NASA LP DAAC.
Available at:

Data for Hydrologic Synthesis Project. Available at:

Subject Keywords



Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
East Longitude
South Latitude
West Longitude


Start Date:
End Date:




Catchment properties:           catchment_properties_247.xlsx
Mean elevation snd slope:       elevation_slope_mopex431.xlsx
Catchment boundaries: 
Daily Evaporation time series:
Daily hydrologic time series:



This zip file contains daily time series of hydrologic data. 
The precipitation is processed in NWS Hydrology Laboratory. 
The Potential Evaporation is based on NOAA Evaporation Atlas 
(Farnsworth, et al., 1982). The streamflow is obtained from 
USGS National Water Information System (NWIS) (available at

Col. 1: date (yyyymmdd)
     2: mean areal precipitation (mm)
     3: climatic potential evaporation (mm)
       (based NOAA Freewater Evaporation Atlas)
     4: daily streamflow discharge (mm)
     5: daily maximum air temperature (Celsius)
     6: daily minimum air temperature (Celsius)

Time period: 1948  2003

File names: GAGENUMBER.dly
            where GAGENUMBER is a USGS gage number.
The ZIPS directory contains zipped time series data.  
These are orgainized by USGS gage numbers.  

Data were downloaded from:



North American Regional Reanalysis (NARR) data were obtained from 
the and some description 
can be found at

Mesinger F, DiMego G, Kalnay E, Mitchell K, Shafran PC, Ebisuzaki 
W, Jovic D, Woollen J, Rogers E, Berbery EH, Ek MB, Fan Y, Grumbine 
R, Higgins W, Li H, Lin Y, Manikin G, Parrish D, and Shi W (2006). 
North American Regional Reanalysis, Bulletin of the American 
Meteorological Society, 87(3), 343-360, doi:10.1175/BAMS-B7-3-343.

Time period: 1979  2008
Temporal resolution: daily
Temporal resolution (original): 3 hours
Spatial resolution: 32 km

The reanalysis data were re-sampled to higher resolution (~6 km) 
and spatially averaged for each catchment and then averaged for 
each day. Derived data are located in the directory NARR/EVAP/daily/ 
at the ftp server

There is 431 files in the directory and the name of each file is 
USGS gage number with extension det. Each text file contains 3 columns:

1: date (yyyymmdd) based on Local Time
2: EVP:sfc:kpds=57,1,0:0-24hr acc:winds are N/S: Evaporation  [mm/day]
3: PEVAP:sfc:kpds=228,1,0:0-24hr acc:winds are N/S: Potential evaporation 

File names: GAGENUMBER.det
            where GAGENUMBER is a USGS gage number.

Related Resources

The content of this resource is derived from MOPEX Datast:
The content of this resource is derived from NARR Dataset:


Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Brazilian Mobility Program, through the CAPES Foundation, Brazil
CAZMEX (UA-CONACYT) research grant
National Commission of Science and Technology of Chile (CONICYT)

How to Cite

Troch, P., R. Dwivedi, A. A. M. Neto, T. Liu, T. Roy, R. Valdés-Pineda, M. Durcik, S. Arciniega-Esparza, J. A. Breña-Naranjo (2018). Data for the catchment-scale groundwater recharge and vegetation water use efficiency estimation, HydroShare,

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


Richard Hooper 3 years, 6 months ago

Great data set for teaching modeling concepts. I used this to run the abcd model as set up by Jeff Walker at

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