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Title: Historical and Future Extreme Event Indices for the Colorado River Basin

Abstract

Extremes events are occurring more frequently and are projected to increase in the future. This data set includes extreme event indices that were generated for the Colorado River basin using data from the Variable Infiltration Capacity hydrologic model. VIC simulations were run using six CMIP5 earth system models (ESMs), two different time periods, (historical, 1970-1999) and future (2070-2099), and for one Representative Concentration Pathway (RCP 8.5). ESMs available are MPI-ESM-LR, MIROC-ESM, IPSL-CM5A-LR, GFDL-ESM2M, and GFDL-ESM2G. The different indicators include temperature (min/max, freezing days, heating days), precipitation (dry days, max), runoff (min, max), soil moisture (min, max), evapotranspiration (max), snow water equivalent (SWE, max), wind speeds (max), and pressure (min). Detailed information on the indicators, file names, and how they were calculated is included in the README.txt document. Data sets were used to calculate results are in related references Bennett et al. 2020 and Talsma et al. 2021. Details on the VIC model configuration is described in related references Bennett et al. 2018 and Bennett et al. 2017.

Authors:
ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo
  1. Los Alamos National Laboratory; Los Alamos National Laboratory
  2. Los Alamos National Laboratory
Publication Date:
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem; A Global, High-Resolution River Network Model for Improved Flood Risk Prediction
Sponsoring Org.:
U.S. DOE > Laboratory Directed Research and Development (LDRD) > Los Alamos National Laboratory
Subject:
54 ENVIRONMENTAL SCIENCES; Colorado River Basin; Extreme; Hydrology; Indices; SWE; Variable Infiltration Capacity (VIC) Model; evapotranspiration; precipitation; pressure; runoff; soil moisture; temperature; wind speed
OSTI Identifier:
1862040
DOI:
https://doi.org/10.15485/1862040

Citation Formats

Bennett, Katrina, Talsma, Carl, Stachelek, Jemma, and Schwenk, Jon. Historical and Future Extreme Event Indices for the Colorado River Basin. United States: N. p., 2022. Web. doi:10.15485/1862040.
Bennett, Katrina, Talsma, Carl, Stachelek, Jemma, & Schwenk, Jon. Historical and Future Extreme Event Indices for the Colorado River Basin. United States. doi:https://doi.org/10.15485/1862040
Bennett, Katrina, Talsma, Carl, Stachelek, Jemma, and Schwenk, Jon. 2022. "Historical and Future Extreme Event Indices for the Colorado River Basin". United States. doi:https://doi.org/10.15485/1862040. https://www.osti.gov/servlets/purl/1862040. Pub date:Wed Mar 23 04:00:00 UTC 2022
@article{osti_1862040,
title = {Historical and Future Extreme Event Indices for the Colorado River Basin},
author = {Bennett, Katrina and Talsma, Carl and Stachelek, Jemma and Schwenk, Jon},
abstractNote = {Extremes events are occurring more frequently and are projected to increase in the future. This data set includes extreme event indices that were generated for the Colorado River basin using data from the Variable Infiltration Capacity hydrologic model. VIC simulations were run using six CMIP5 earth system models (ESMs), two different time periods, (historical, 1970-1999) and future (2070-2099), and for one Representative Concentration Pathway (RCP 8.5). ESMs available are MPI-ESM-LR, MIROC-ESM, IPSL-CM5A-LR, GFDL-ESM2M, and GFDL-ESM2G. The different indicators include temperature (min/max, freezing days, heating days), precipitation (dry days, max), runoff (min, max), soil moisture (min, max), evapotranspiration (max), snow water equivalent (SWE, max), wind speeds (max), and pressure (min). Detailed information on the indicators, file names, and how they were calculated is included in the README.txt document. Data sets were used to calculate results are in related references Bennett et al. 2020 and Talsma et al. 2021. Details on the VIC model configuration is described in related references Bennett et al. 2018 and Bennett et al. 2017.},
doi = {10.15485/1862040},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Mar 23 04:00:00 UTC 2022},
month = {Wed Mar 23 04:00:00 UTC 2022}
}