This dataset contains the primary NetCDF files underlying the USGS National Climate Change Viewer. Hydroclimate variables (such as snow, runoff, soil moisture, evaporation, etc) were simulated by driving the monthly water-balance model (MWBM) by the NASA NEX-DCP30 statistically downscaled dataset. The grid resolution is 800 m and the dataset spans 1950-2099 for the RCP4.5 and RCP8.5 emission scenarios.
Data release for Applying the Community Ice Sheet Model to evaluate PMIP3 LGM climatologies over the North American ice sheets
The data release consists of a single NetCDF file with results from a suite of ice sheet model simulations. We ran with Community Ice Sheet Model (CISM2) with input from models used in the Palaeoclimate Modelling Intercomparison 3 (PMIP3). The NetCDF file contains output from model year 50,000 for a limited number of variables to keep the file size reasonably small.
Data Release for Implications for future western U.S. hydroclimate from differences between statistically downscaled datasets
The dataset contains snow and runoff projections simulated by the monthly water-balance model (MWBM) when driven by temperature and precipitation time series from six commonly used statistically downscaled datasets. Differences in hydroclimate projections highlight uncertainty stemming from both the GCMs and statistically downscaling methods.
Development and Characterization of a Daily Fire-Start Data Set for the
United States and Canada (1986-2013)
This set of web pages documents the development of a daily fire-start data set for the U.S. and Canada for the interval 1986-2013.
Dynamically downscaled climate simulations over North America: Methods, evaluation and supporting documentation for users
We have completed an array of high-resolution simulations of present and future climate over Western North America (WNA) and Eastern North America (ENA) by dynamically downscaling global climate simulations using a regional climate model, RegCM3. The simulations are intended to provide long time series of internally consistent surface and atmospheric variables for use in climate-related research.
We downscaled climate data onto a 30-second grid of the northwest US and southwest Canada and used these data to calculate a set of bioclimatic variables. The climate data also were used as input to LPJ (Sitch et al. 2003), a dynamic global vegetation model, to simulate potential future vegetation changes for the study area.
We are providing access to the Regional Climate and Hydrologic Change: Internally Consistent Future Climate Projections for Resource Management dataset produced by the Climate Impacts Group via our Thredds catalog and the Regional Climate Downloaderweb application.