This dataset contains input parameter and data files, as well as output files for simulations before calibration (pre-calibration) and after calibration (post-calibration) of solar radiation and potential evapotranspiration (ET) parameters. Simulated solar radiation and potential ET for nine near-native subbasins and three selected subareas [16, 71, 124] are included for parts of the Upper Rio Grande Basin in Colorado, New Mexico, Texas, and northern Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data include pre-calibration input parameters for the entire Upper Rio Grande Basin developed from the National Hydrologic Model (NHM) parameter database, and model parameters after calibration (post-calibration) of solar radiation and potential ET. Output files include daily simulated solar radiation (sward) potential evapotranspiration (potet) for each hydrologic response unit (HRU) that compose each of the nine near-native subbasins and three selected subareas. These PRMS model input and output data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (Chavarria and others, 2020).

This study is based on contiguous direct normal irradiance information from the National Renewable Energy Laboratory. Specifically, these data represent both 12-month specific average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude. Spacing is about 10 kilometers in size. Direct normal irradiance is the amount of solar radiation received per unit area. For more information on direct normal irradiance see Introduction to Micrometeorology (Arya, 2001) or Fundamentals of Atmospheric Physics (Salby, 1996). Following the metadata description by the National Renewable Energy Laboratory, these modeled data are based on hourly radiance images from geostationary weather satellites; daily snow cover data; and monthly averages of atmospheric water vapor, trace gases, and the amount of aerosols in the atmosphere to calculate the hourly total insolation (sun and sky) falling on a horizontal surface. Atmospheric water vapor, trace gases, and aerosols were derived from a variety of sources. It is important to note that, where possible, existing ground measurement stations were used by the National Renewable Energy Laboratory to validate the data. Modeled values are suggested to be accurate to approximately 15 percent of a true measured value within the grid cell. For this study, a simple overlay of the location of a streamgage onto the gridded solar radiation data was made to assign January through December direct normal irradiance values, and average annual values at each streamgage. No polygon representing whole or part of the watershed of the streamgage was intersected with the gridded solar radiation data.

This study is based on contiguous direct normal irradiance information from the National Renewable Energy Laboratory. Specifically, these data represent both 12-month specific average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude. Spacing is about 10 kilometers in size. Direct normal irradiance is the amount of solar radiation received per unit area. For more information on direct normal irradiance see Introduction to Micrometeorology (Arya, 2001) or Fundamentals of Atmospheric Physics (Salby, 1996). Following the metadata description by the National Renewable Energy Laboratory, these modeled data are based on hourly radiance images from geostationary weather satellites; daily snow cover data; and monthly averages of atmospheric water vapor, trace gases, and the amount of aerosols in the atmosphere to calculate the hourly total insolation (sun and sky) falling on a horizontal surface. Atmospheric water vapor, trace gases, and aerosols were derived from a variety of sources. It is important to note that, where possible, existing ground measurement stations were used by the National Renewable Energy Laboratory to validate the data. Modeled values are suggested to be accurate to approximately 15 percent of a true measured value within the grid cell. For this study, a simple overlay of the location of a streamgage onto the gridded solar radiation data was made to assign January through December direct normal irradiance values, and average annual values at each streamgage. No polygon representing whole or part of the watershed of the streamgage was intersected with the gridded solar radiation data.

This study is based on contiguous direct normal irradiance information from the National Renewable Energy Laboratory. Specifically, these data represent both 12-month specific average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude. Spacing is about 10 kilometers in size. Direct normal irradiance is the amount of solar radiation received per unit area. For more information on direct normal irradiance see Introduction to Micrometeorology (Arya, 2001) or Fundamentals of Atmospheric Physics (Salby, 1996). Following the metadata description by the National Renewable Energy Laboratory, these modeled data are based on hourly radiance images from geostationary weather satellites; daily snow cover data; and monthly averages of atmospheric water vapor, trace gases, and the amount of aerosols in the atmosphere to calculate the hourly total insolation (sun and sky) falling on a horizontal surface. Atmospheric water vapor, trace gases, and aerosols were derived from a variety of sources. It is important to note that, where possible, existing ground measurement stations were used by the National Renewable Energy Laboratory to validate the data. Modeled values are suggested to be accurate to approximately 15 percent of a true measured value within the grid cell. For this study, a simple overlay of the location of a streamgage onto the gridded solar radiation data was made to assign January through December direct normal irradiance values, and average annual values at each streamgage. No polygon representing whole or part of the watershed of the streamgage was intersected with the gridded solar radiation data.

This dataset contains input parameter and data files, as well as output files for simulations prior to (pre-calibration) and after calibration (post-calibration) of streamflow parameters for nine near-native subbasins. Simulated and observed streamflow for nine near-native subbasins are included for parts of the Upper Rio Grande Basin in Colorado, New Mexico, Texas, and northern Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data include pre-calibration input parameters for the entire Upper Rio Grande Basin. Pre-calibrated parameters used as input to PRMS for step 2 are the post-calibration parameters in Step 1-Solar Radiation and Potential ET calibration. Post-calibration model parameters include parameters after calibration of streamflow in selected nine near-native subbasins. Output files include daily PRMS simulated streamflow (seg_outflow) and observed streamflow at USGS streamgages for each near-native subbasin. These PRMS model input and output data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (Chavarria and others, 2020).

This dataset contains input parameter and data files, as well as output files for simulations prior to (pre-calibration) and after calibration (post-calibration) of streamflow parameters for nine near-native subbasins. Simulated and observed streamflow for nine near-native subbasins are included for parts of the Upper Rio Grande Basin in Colorado, New Mexico, Texas, and northern Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data include pre-calibration input parameters for the entire Upper Rio Grande Basin. Pre-calibrated parameters used as input to PRMS for step 2 are the post-calibration parameters in Step 1-Solar Radiation and Potential ET calibration. Post-calibration model parameters include parameters after calibration of streamflow in selected nine near-native subbasins. Output files include daily PRMS simulated streamflow (seg_outflow) and observed streamflow at USGS streamgages for each near-native subbasin. These PRMS model input and output data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (Chavarria and others, 2020).

This dataset contains input parameter and data files, as well as output files for simulations prior to the distribution of parameters from near-native subbasins to uncalibrated hydrologic response units (HRUs) (pre-distribution) and after parameters are distributed to HRUs (post-distribution). Simulated and observed streamflow for sites along the mainstem of the Rio Grande River are included for parts of the Upper Rio Grande Basin in Colorado, New Mexico, Texas, and northern Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data include pre-distribution input parameters for the entire Upper Rio Grande Basin. Pre-distribution parameters used as input to PRMS for step 3 are the post-calibration parameters in Step 2-Calibration Near-Native subbasins. Post-distribution model parameters include interpolated parameters from the calibrated near-native subbasins. Output files include daily PRMS simulated streamflow (seg_outflow) and observed streamflow (runoff) at five USGS streamgages along the mainstem Rio Grande. These PRMS model input and output data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (Chavarria and others, 2020).

This study is based on contiguous direct normal irradiance information from the National Renewable Energy Laboratory. Specifically, these data represent both 12-month specific average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude. Spacing is about 10 kilometers in size. Direct normal irradiance is the amount of solar radiation received per unit area. For more information on direct normal irradiance see Introduction to Micrometeorology (Arya, 2001) or Fundamentals of Atmospheric Physics (Salby, 1996). Following the metadata description by the National Renewable Energy Laboratory, these modeled data are based on hourly radiance images from geostationary weather satellites; daily snow cover data; and monthly averages of atmospheric water vapor, trace gases, and the amount of aerosols in the atmosphere to calculate the hourly total insolation (sun and sky) falling on a horizontal surface. Atmospheric water vapor, trace gases, and aerosols were derived from a variety of sources. It is important to note that, where possible, existing ground measurement stations were used by the National Renewable Energy Laboratory to validate the data. Modeled values are suggested to be accurate to approximately 15 percent of a true measured value within the grid cell. For this study, a simple overlay of the location of a streamgage onto the gridded solar radiation data was made to assign January through December direct normal irradiance values, and average annual values at each streamgage. No polygon representing whole or part of the watershed of the streamgage was intersected with the gridded solar radiation data.

This study is based on contiguous direct normal irradiance information from the National Renewable Energy Laboratory. Specifically, these data represent both 12-month specific average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude. Spacing is about 10 kilometers in size. Direct normal irradiance is the amount of solar radiation received per unit area. For more information on direct normal irradiance see Introduction to Micrometeorology (Arya, 2001) or Fundamentals of Atmospheric Physics (Salby, 1996). Following the metadata description by the National Renewable Energy Laboratory, these modeled data are based on hourly radiance images from geostationary weather satellites; daily snow cover data; and monthly averages of atmospheric water vapor, trace gases, and the amount of aerosols in the atmosphere to calculate the hourly total insolation (sun and sky) falling on a horizontal surface. Atmospheric water vapor, trace gases, and aerosols were derived from a variety of sources. It is important to note that, where possible, existing ground measurement stations were used by the National Renewable Energy Laboratory to validate the data. Modeled values are suggested to be accurate to approximately 15 percent of a true measured value within the grid cell. For this study, a simple overlay of the location of a streamgage onto the gridded solar radiation data was made to assign January through December direct normal irradiance values, and average annual values at each streamgage. No polygon representing whole or part of the watershed of the streamgage was intersected with the gridded solar radiation data.

The National Solar Radiation Database (NSRDB) was produced by the National Renewable Energy Laboratory under the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy. The 1991-2010 NSRDB is an update of the 1991-2005 NSRDB released in 2006 and archived at NCDC. The serially complete hourly data provided in the NSRDB update are provided in two output formats: 1) ground-based solar and meteorological dataset, and 2) 10 km gridded output produced by the SUNY model. The 10 km gridded output is from the State University of New York/Albany (SUNY) satellite radiation model developed by Richard Perez and Clean Power Research. Data in the NSRDB are a slightly modified version of the SolarAnywhere dataset distributed by Clear Power Research. The modifications are detailed in the NSRDB User's Manual. The model uses hourly radiance images estimated from Geostationary Operational Environmental Satellite (GOES) imagery, daily snow cover data, and monthly averages of atmospheric water vapor, trace gases, and the amount of aerosols in the atmosphere to calculate the hourly total irradiance (sun and sky) falling on a horizontal surface. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. In simple terms, this satellite model uses the inverse relationship between reflected irradiance (that reflected by clouds and atmosphere back to space and the satellite sensor) and ground irradiance (that transmitted through the atmosphere to the Earth's surface). The high-resolution 10-km gridded data set from the SUNY model provides a consistency in modeled output data for its period of record for the years 1998 to 2009, the period for which necessary GOES imagery was available for the project. The SUNY model produces estimates of global and direct irradiance at hourly intervals on the 10-km grid for 49 states, excluding Alaska, where the geostationary satellites cannot resolve cloud cover with necessary detail. Although GOES images provide up to 1-km resolution, in the SUNY model, these data are down-sampled to 10-km resolution (0.1 degree x 0.1 degree). This resolution is adequate for most solar radiation resource applications and represents a practical trade-off between resolution and processing and data storage considerations. The model uses both GOES-East and GOES-West satellites for complete spatial coverage of the United States.