Implications of Statistical and Dynamical Downscaling Methods on Streamflow Projections for the Colorado River Basin

An ensemble of 11 dynamically downscaled CMIP3 GCMs under A2 projection scenario are first bias corrected for the historic (1971-2000) and scenario (2041-2070) period using a Scaled Distribution Mapping (SDM) technique, that preserves the relative change in the monthly mean and variance of precipita...

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Main Author: Mukherjee, Rajarshi
Other Authors: Troch, Peter A.
Language:en_US
Published: The University of Arizona. 2016
Subjects:
Online Access:http://hdl.handle.net/10150/620708
http://arizona.openrepository.com/arizona/handle/10150/620708
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spelling ndltd-arizona.edu-oai-arizona.openrepository.com-10150-6207082016-10-19T15:02:00Z Implications of Statistical and Dynamical Downscaling Methods on Streamflow Projections for the Colorado River Basin Mukherjee, Rajarshi Mukherjee, Rajarshi Troch, Peter A. Chang, Hsin-I Castro, Christopher L. Colorado River Downscaling Regional Climate Modeling Hydrology Climate Change An ensemble of 11 dynamically downscaled CMIP3 GCMs under A2 projection scenario are first bias corrected for the historic (1971-2000) and scenario (2041-2070) period using a Scaled Distribution Mapping (SDM) technique, that preserves the relative change in the monthly mean and variance of precipitation and any model trends in temperature to generate an ensemble of streamflow projections across 3 catchments in the Colorado River basin - Upper Colorado at Lees Ferry, Salt and Verde. The hydroclimatic projections obtained from this method are compared against an existing ensemble of 15 Bias Corrected and Spatially Disaggregated (BCSD) CMIP3 models under A2 projection scenario developed by the Bureau of Reclamation (BOR). The confidence in the DD Ens. stems from its ability to represent historical flow quantiles better than BCSD Ens. Across all three basins, the mean of the dynamically downscaled ensemble (DD Ens.) projects a decrease in both monsoon and winter projected precipitation as compared to mean of the statistically downscaled ensemble (BCSD Ens.). For the Upper Colorado, both Ens. show a shift in peak hydrograph from June to May due to earlier snowmelt, but a projected decrease in precipitation (-5%) by DD Ens. as compared to a slight increase (+2%) by BCSD Ens. results in a lower April snow water equivalent (SWE) and reduced streamflows (14% by DD Ens. as compared to 5% by BCSD Ens.). The streamflow decrease over the Upper Colorado River basin, quantified by both the mean and the spread of the ensemble. is representative in high flows and flows during moist conditions. For smaller basins like Salt and Verde, DD Ens. shows a greater decrease (-11%) in precipitation than BCSD Ens. (-2%), which results in lower peak hydrograph during March and significantly reduced streamflows (-20%&-14% for Salt and Verde by DD Ens. as compared to -3% by BCSD Ens.). This decrease is more substantial in high flows, but occurs across all streamflow quantiles. The future streamflow projection, quantified by the spread of the DD Ens. presents the shifting of the streamflow range downward to be drier in the future. 2016 text Electronic Thesis http://hdl.handle.net/10150/620708 http://arizona.openrepository.com/arizona/handle/10150/620708 en_US Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. The University of Arizona.
collection NDLTD
language en_US
sources NDLTD
topic Colorado River
Downscaling
Regional Climate Modeling
Hydrology
Climate Change
spellingShingle Colorado River
Downscaling
Regional Climate Modeling
Hydrology
Climate Change
Mukherjee, Rajarshi
Mukherjee, Rajarshi
Implications of Statistical and Dynamical Downscaling Methods on Streamflow Projections for the Colorado River Basin
description An ensemble of 11 dynamically downscaled CMIP3 GCMs under A2 projection scenario are first bias corrected for the historic (1971-2000) and scenario (2041-2070) period using a Scaled Distribution Mapping (SDM) technique, that preserves the relative change in the monthly mean and variance of precipitation and any model trends in temperature to generate an ensemble of streamflow projections across 3 catchments in the Colorado River basin - Upper Colorado at Lees Ferry, Salt and Verde. The hydroclimatic projections obtained from this method are compared against an existing ensemble of 15 Bias Corrected and Spatially Disaggregated (BCSD) CMIP3 models under A2 projection scenario developed by the Bureau of Reclamation (BOR). The confidence in the DD Ens. stems from its ability to represent historical flow quantiles better than BCSD Ens. Across all three basins, the mean of the dynamically downscaled ensemble (DD Ens.) projects a decrease in both monsoon and winter projected precipitation as compared to mean of the statistically downscaled ensemble (BCSD Ens.). For the Upper Colorado, both Ens. show a shift in peak hydrograph from June to May due to earlier snowmelt, but a projected decrease in precipitation (-5%) by DD Ens. as compared to a slight increase (+2%) by BCSD Ens. results in a lower April snow water equivalent (SWE) and reduced streamflows (14% by DD Ens. as compared to 5% by BCSD Ens.). The streamflow decrease over the Upper Colorado River basin, quantified by both the mean and the spread of the ensemble. is representative in high flows and flows during moist conditions. For smaller basins like Salt and Verde, DD Ens. shows a greater decrease (-11%) in precipitation than BCSD Ens. (-2%), which results in lower peak hydrograph during March and significantly reduced streamflows (-20%&-14% for Salt and Verde by DD Ens. as compared to -3% by BCSD Ens.). This decrease is more substantial in high flows, but occurs across all streamflow quantiles. The future streamflow projection, quantified by the spread of the DD Ens. presents the shifting of the streamflow range downward to be drier in the future.
author2 Troch, Peter A.
author_facet Troch, Peter A.
Mukherjee, Rajarshi
Mukherjee, Rajarshi
author Mukherjee, Rajarshi
Mukherjee, Rajarshi
author_sort Mukherjee, Rajarshi
title Implications of Statistical and Dynamical Downscaling Methods on Streamflow Projections for the Colorado River Basin
title_short Implications of Statistical and Dynamical Downscaling Methods on Streamflow Projections for the Colorado River Basin
title_full Implications of Statistical and Dynamical Downscaling Methods on Streamflow Projections for the Colorado River Basin
title_fullStr Implications of Statistical and Dynamical Downscaling Methods on Streamflow Projections for the Colorado River Basin
title_full_unstemmed Implications of Statistical and Dynamical Downscaling Methods on Streamflow Projections for the Colorado River Basin
title_sort implications of statistical and dynamical downscaling methods on streamflow projections for the colorado river basin
publisher The University of Arizona.
publishDate 2016
url http://hdl.handle.net/10150/620708
http://arizona.openrepository.com/arizona/handle/10150/620708
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