Skip to main content

Informing Hydrologic Planning in the Red River Valley through Improved Regional Climate Projections

Very High-Resolution Dynamic Downscaling of Regional Climate for Use in Long-term Hydrologic Planning along the Red River Valley System
Principal Investigator
Ming Xue

Dates

Start Date
2015-09-26
End Date
2017-09-25
Release Date
2015

Summary

Across the Southern Great Plains, increasing temperatures are expected to alter the hydrological functioning of the region by contributing to severe droughts, more intense rainfall events, and more severe flooding episodes. These changes could adversely affect human and ecological communities. The ability to better predict future changes in precipitation and the response of hydrologic systems in the region could help mitigate their negative impacts. Yet while today’s global climate models provide large-scale projections of future temperature and precipitation patterns that can be broadly useful for large-scale water resource planning, they are often not appropriate for use at a smaller, more local scale. This research aimed to develop [...]

Child Items (4)

Contacts

Principal Investigator :
Ming Xue
Cooperator/Partner :
Xiaoming Hu
Funding Agency :
South Central CSC
CMS Group :
Climate Adaptation Science Centers (CASC) Program

Attached Files

Click on title to download individual files attached to this item.

RedRiver_NM_BobWick_BLM.jpg
“Red River, NM - Credit: Bob Wick, BLM”
thumbnail 1.11 MB image/jpeg

Purpose

Across the Southern Great Plains, climate change is expected to cause more severe droughts, more intense heavy rainfall events, and subsequently more flooding episodes. These potential changes in climate will adversely affect habitats, ecosystems, and landscapes as well as the fish and wildlife they support. But while today’s global climate models (GCMs) provide generally accurate, large-scale projections, local predictions are notoriously imprecise, and impede proper, long-term mitigation planning. To address these challenges, this research will take a collaborative multi-organization approach that leverages the expertise of the University of Oklahoma, Department of Interior South Central Climate Science Center, and the U.S. Army Corps of Engineers. This research uses high resolution weather models to downscale GCM forecasts to provide more accurate local projections. This work will create multiple model runs (called an “ensemble”) to provide uncertainty associated with the climate projections. Research activities will consist of the application of hydrological products from very high-resolution regional climate projections to guide real-world, long-term collaborative water management planning relevant to local, tribal, state and federal government decision making. High-resolution model output will be used to advance planning in flood control, water supply management, hydroelectric power generation, and ecosystem conservation.

Project Extension

parts
typeTechnical Summary
valueAcross the Southern Great Plains, climate change is expected to cause more severe droughts, more intense heavy rainfall events, and subsequently more flooding episodes. These potential changes in climate will adversely affect habitats, ecosystems, and landscapes as well as the fish and wildlife they support. Current model projects from Global Climate Models (GCMs) are not accurate enough at local scales to be used for local mitigation efforts. However, recent dynamical downscaling efforts using high-resolution models have shown significant ability to better represent future climate extremes at local scales. This research will build upon this success and take an integrated water resources management approach involving OU, the DOI SC-CSC, and the USACE. The research is divided into four primary tasks: (1) develop a regional climate modeling (RCM) framework for dynamic downscaling of GCM climate change projections at 4- km resolution; (2) develop and run an ensemble of convection-permitting RCM simulations and compare the results with lower-resolution dynamic downscaling, and the results of statistical downscaling; (3) develop value-added hydrological products from model output; and (4) apply value-added products to real-world, long-term water management planning relevant to local, tribal, state, and federal government decision making. Model output will be used to advance planning in flood control, water supply management, hydroelectric power generation, and ecosystem conservation. Monthly and semi-annual meetings will be held between Co-PIs and external partners, respectively, for information sharing. Results will be disseminated through peer-reviewed publications and conference presentations.
projectStatusCompleted

Budget Extension

annualBudgets
year2015
totalFunds62698.0
parts
typeAgreement Type
valueGrant
typeAgreement Number
valueG15AP00131
totalFunds62698.0

Red River, NM - Credit: Bob Wick, BLM
Red River, NM - Credit: Bob Wick, BLM

Map

Spatial Services

ScienceBase WMS

Communities

  • National and Regional Climate Adaptation Science Centers
  • South Central CASC

Associated Items

Tags

Provenance

rfpManager-1.126.2

Additional Information

Identifiers

Type Scheme Key
RegistrationUUID NCCWSC 246ba139-9c29-437a-9edb-1f26e1464d97
StampID NCCWSC SC14-XM0161

Item Actions

View Item as ...

Save Item as ...

View Item...