Data Sets | Water and Climate Research Group

Western U.S. Gridded Snow Cover and Timing Data for WY1985-2021

Gridded data is calculated from the UCLA Western U.S. Snow Reanalysis (WUS-SR), which is available at a 16 arc-second (500m) resolution for WY1985-2021 (Fang et al., 2022).

108 Basins containing a minimum of 50 years of daily discharge and precipitation observations

A dataset containing the list and shapefiles of basins used in the analysis of intermittency-flooding relationship analyzed in Livneh et al.

Wildfires drive multi-year water quality degradation over the western U.S.

Information on the 245 burned basins, 293 unburned basins, and 356 associated fires from across the U.S. West which were used in statistical analyses of post-wildfire water quality response.

Long Short Term Memory simulations and code for 664 basins in the Ensemble Streamflow Prediction framework (LSTM-ESP)

The Ensemble Streamflow Prediction (ESP) framework combines a probabilistic forecast structure with process-based models for water supply predictions. However, process-based models require computationally intensive parameter estimation, increasing uncertainties and limiting usability.

Daily Obserational Hydrometeorology data set: CONUS extent with Canadian extent of the Columbia River Basin

Similar methodology to above, a data set of observed daily and monthly averaged precipitation, maximum and minimum temperature, gridded to a 1/16° (~6km) resolution spanning CONUS and the Canadian portion of the Columbia River Basin, with temporal coverage 1915-201

Daily Observational Hydrometeorology data set: North American Extent

A data set of observed daily and monthly averaged precipitation, maximum and minimum temperature, gridded to a 1/16° (~6km) resolution that spans the entire country of Mexico, the conterminous U.S. (CONUS), and regions of Canada south of 53º N for the period 1950-2013.

Variable Infiltration Capacity (VIC) model parameters at 1/16°

The model parameters used to simulate the hydrologic fluxes and states in the two data above sets are available here on the Livneh Research Group server.

Remotely sensed ensemble of the water cycle

We present a new REmotely Sensed ENsemble of the water cycle (REESEN). The REESEN approach generates a large number of realizations of the remotely sensed water budget and enforces closure for each realization. The REESEN approach is applied to 24 large river basins from Oct. 2002- Dec. 2014.

E-SMAP: Evaporation-Soil Moisture Active Passive

This is an observationally-based dataset of soil evaporation for the conterminous U.S. (CONUS), gridded to a 9 km resolution for the time-period of April 2015-March 2019.