This data has been updated and corrected for errors. The most up to date data can be found in the dataset Data from: Eleven years of mountain weather, snow, soil moisture and stream flow data from the rain-snow transition zone - the Johnston Draw catchment, Reynolds Creek Experimental Watershed and Critical Zone Observatory, USA. v1.1 This dataset is supplemental to the article "A hydrological modeling dataset for the Johnston Draw catchment, Reynolds Creek Experimental Watershed, Idaho, USA," which was submitted to Water Resources Research in December 2015. The data includes time-series measurements of precipitation at three different gauges (124, 125, and 124b) at the Johnston Draw watershed, a sub-watershed of the Reynolds Creek Critical Zone Observatory. The Johnston Draw watershed was established by the USDA's Agricultural Research Service in 2002 to study the rain-snow transition zone. Data was collected at gauges 124 and 125 from October 1, 2003 through September 30, 2014 and at gauge 124b from November 11, 2006 through September 30, 2014. Precipitation for 124 and 125 were wind-corrected using the dual-gauge method described by Hanson et al. (2004). Precipitation for 124b was wind-corrected using wind data and the standard World Meteorological Organization (WMO) method as applied by Yang et al. (1999). The percent snow was calculated using the methods developed by Marks et al. (2013), using the during-storm dew point temperature (Td) where: Td < ­‐0.5 °C 100 % Snow ­ ‐0.5 °C >= Td < 0 °C 75 % Snow 0 °C <= Td < +0.5 °C 25 % Snow 0.5 °C <= Td 0 % Snow 125 and 124b are dual gauge precipitation stations. The pair are modified Belfort Universal gauges, with 124b having a wind shield and 125 remaining unshielded. Each of the precipitation records is an ASCII comma-separated text file with one header row containing Date_time, WY (Water Year), Year, Month, Day, Hour, Minute, ppt_s (shielded precipitation; mm), ppt_u (unshielded precipitation; mm), ppt_a (wind corrected precipitation; mm), and pct_snow (percent of precipitation that is snow; %) separated by commas.

The National Solar Radiation Database (NSRDB) is a serially complete collection of meteorological and solar irradiance data sets for the United States and a growing list of international locations for 1998-2017. The NSRDB provides foundational information to support U.S. Department of Energy programs, research, and the general public. The NSRDB provides time-series data at 30 minute resolution of resource averaged over surface cells of 0.038 degrees in both latitude and longitude, or nominally 4 km in size. The solar radiation values represent the resource available to solar energy systems. The data was created using cloud properties which are generated using the AVHRR Pathfinder Atmospheres-Extended (PATMOS-x) algorithms developed by the University of Wisconsin. Fast all-sky radiation model for solar applications (FARMS) in conjunction with the cloud properties, and aerosol optical depth (AOD) and precipitable water vapor (PWV) from ancillary source are used to estimate solar irradiance (GHI, DNI, and DHI). The Global Horizontal Irradiance (GHI) is computed for clear skies using the REST2 model. For cloud scenes identified by the cloud mask, FARMS is used to compute GHI. The Direct Normal Irradiance (DNI) for cloud scenes is then computed using NREL's DISC model (uses empirical relationships between the global and direct clearness indices to estimate the direct beam component of irradiance). The PATMOS-X model uses half-hourly radiance images in visible and infrared channels from the Geostationary Operational Environmental Satellite (GOES) series of geostationary weather satellites. Ancillary variables needed to run REST2 and FARMS (e.g., aerosol optical depth, precipitable water vapor, and albedo) are derived from NASA's Modern Era-Retrospective Analysis (MERRA-2) dataset. Temperature and wind speed data are also derived from MERRA-2 and provided for use in NREL's System Advisor Model (SAM) to compute PV generation.