Description
Large biases associated with climate projections are problematic when it comes to their regional application in the assessment of water resources and ecosystems. We produced a set of regional climate projections that have the systematic biases reduced. The dataset first utilized a statistical regression technique and a global reanalysis dataset to correct biases in the globally-simulated variables that are subsequently used to drive the regional model. The bias-corrected global simulation data led to a more realistic regional climate simulation of precipitation and associated atmospheric dynamics, as well as snow water equivalent (SWE) in comparison to the original globally-driven simulation. This effective and economical method provides a useful tool to reduce biases in regional climate downscaling simulations of water resource variables.
OCLC
985526238
Document Type
Dataset
DCMI Type
Dataset
File Format
.nc, .pdf
Viewing Instructions
.nc is the extension for NetCDF format, a binary data format commonly used for climate model output data. These NetCDF files contain metadata which aid interpretation of the contents. The metadata and data can be explored using the free Panoply software tool (http://www.giss.nasa.gov/tools/panoply/
Publication Date
12-17-2014
Publisher
Utah State University
Language
eng
License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Gillies, R. R., Li, R., Wang, S.-Y., & Jin, J. (2014). Refined climate downscaling for the Intermountain West. Utah State University. https://doi.org/10.15142/T3TS3V
Checksum
c01b1b6c9ee8f4c79d400c143a8d4326
Additional Files
CCSM_1969_1999_precip_adjusted.nc (416765 kB)MD5: f6e45d0a3647b413e6209c8551cadbb7
CCSM_2001_2010_precip_adjusted.nc (134446 kB)
MD5: 8494004139689aa279abd35213130982
CCSM_2056_2065_precip_adjusted.nc (134446 kB)
MD5: 46ea37288d6d7a73497fd0383f5f1e33
Metadata.pdf (32 kB)
MD5: 4a6eb22a9e7ec50245b237d26424614d