Projecting water yield and ecosystem productivity across the United States by linking an ecohydrological model to WRF dynamically downscaled climate data

Quantifying the potential impacts of climate change on water yield and ecosystem productivity is essential to developing sound watershed restoration plans, and ecosystem adaptation and mitigation strategies. This study links an ecohydrological model (Water Supply and Stress Index, WaSSI) with WRF (W...

Full description

Bibliographic Details
Main Authors: S. Sun, G. Sun, E. Cohen, S. G. McNulty, P. V. Caldwell, K. Duan, Y. Zhang
Format: Article
Language:English
Published: Copernicus Publications 2016-03-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/20/935/2016/hess-20-935-2016.pdf
id doaj-5e421c184f5e47338fd8ad156760b05b
record_format Article
spelling doaj-5e421c184f5e47338fd8ad156760b05b2020-11-24T22:34:50ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382016-03-0120293595210.5194/hess-20-935-2016Projecting water yield and ecosystem productivity across the United States by linking an ecohydrological model to WRF dynamically downscaled climate dataS. Sun0G. Sun1E. Cohen2S. G. McNulty3P. V. Caldwell4K. Duan5Y. Zhang6Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USAEastern Forest Environmental Threat Assessment Center, USDA Forest Service, Raleigh, NC, USAEastern Forest Environmental Threat Assessment Center, USDA Forest Service, Raleigh, NC, USAEastern Forest Environmental Threat Assessment Center, USDA Forest Service, Raleigh, NC, USACoweeta Hydrologic Laboratory, USDA Forest Service, Otto, NC, USADepartment of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USADepartment of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USAQuantifying the potential impacts of climate change on water yield and ecosystem productivity is essential to developing sound watershed restoration plans, and ecosystem adaptation and mitigation strategies. This study links an ecohydrological model (Water Supply and Stress Index, WaSSI) with WRF (Weather Research and Forecasting Model) using dynamically downscaled climate data of the HadCM3 model under the IPCC SRES A2 emission scenario. We evaluated the future (2031&ndash;2060) changes in evapotranspiration (ET), water yield (<i>Q</i>) and gross primary productivity (GPP) from the baseline period of 1979&ndash;2007 across the 82 773 watersheds (12-digit Hydrologic Unit Code level) in the coterminous US (CONUS). Across the CONUS, the future multi-year means show increases in annual precipitation (<i>P</i>) of 45 mm yr<sup>&minus;1</sup> (6 %), 1.8° C increase in temperature (<i>T</i>), 37 mm yr<sup>&minus;1</sup> (7 %) increase in ET, 9 mm yr<sup>&minus;1</sup> (3 %) increase in <i>Q</i>, and 106 gC m<sup>&minus;2</sup> yr<sup>&minus;1</sup> (9 %) increase in GPP. We found a large spatial variability in response to climate change across the CONUS 12-digit HUC watersheds, but in general, the majority would see consistent increases all variables evaluated. Over half of the watersheds, mostly found in the northeast and the southern part of the southwest, would see an increase in annual <i>Q</i> (&gt; 100 mm yr<sup>&minus;1</sup> or 20 %). In addition, we also evaluated the future annual and monthly changes of hydrology and ecosystem productivity for the 18 Water Resource Regions (WRRs) or two-digit HUCs. The study provides an integrated method and example for comprehensive assessment of the potential impacts of climate change on watershed water balances and ecosystem productivity at high spatial and temporal resolutions. Results may be useful for policy-makers and land managers to formulate appropriate watershed-specific strategies for sustaining water and carbon sources in the face of climate change.http://www.hydrol-earth-syst-sci.net/20/935/2016/hess-20-935-2016.pdf
collection DOAJ
language English
format Article
sources DOAJ
author S. Sun
G. Sun
E. Cohen
S. G. McNulty
P. V. Caldwell
K. Duan
Y. Zhang
spellingShingle S. Sun
G. Sun
E. Cohen
S. G. McNulty
P. V. Caldwell
K. Duan
Y. Zhang
Projecting water yield and ecosystem productivity across the United States by linking an ecohydrological model to WRF dynamically downscaled climate data
Hydrology and Earth System Sciences
author_facet S. Sun
G. Sun
E. Cohen
S. G. McNulty
P. V. Caldwell
K. Duan
Y. Zhang
author_sort S. Sun
title Projecting water yield and ecosystem productivity across the United States by linking an ecohydrological model to WRF dynamically downscaled climate data
title_short Projecting water yield and ecosystem productivity across the United States by linking an ecohydrological model to WRF dynamically downscaled climate data
title_full Projecting water yield and ecosystem productivity across the United States by linking an ecohydrological model to WRF dynamically downscaled climate data
title_fullStr Projecting water yield and ecosystem productivity across the United States by linking an ecohydrological model to WRF dynamically downscaled climate data
title_full_unstemmed Projecting water yield and ecosystem productivity across the United States by linking an ecohydrological model to WRF dynamically downscaled climate data
title_sort projecting water yield and ecosystem productivity across the united states by linking an ecohydrological model to wrf dynamically downscaled climate data
publisher Copernicus Publications
series Hydrology and Earth System Sciences
issn 1027-5606
1607-7938
publishDate 2016-03-01
description Quantifying the potential impacts of climate change on water yield and ecosystem productivity is essential to developing sound watershed restoration plans, and ecosystem adaptation and mitigation strategies. This study links an ecohydrological model (Water Supply and Stress Index, WaSSI) with WRF (Weather Research and Forecasting Model) using dynamically downscaled climate data of the HadCM3 model under the IPCC SRES A2 emission scenario. We evaluated the future (2031&ndash;2060) changes in evapotranspiration (ET), water yield (<i>Q</i>) and gross primary productivity (GPP) from the baseline period of 1979&ndash;2007 across the 82 773 watersheds (12-digit Hydrologic Unit Code level) in the coterminous US (CONUS). Across the CONUS, the future multi-year means show increases in annual precipitation (<i>P</i>) of 45 mm yr<sup>&minus;1</sup> (6 %), 1.8° C increase in temperature (<i>T</i>), 37 mm yr<sup>&minus;1</sup> (7 %) increase in ET, 9 mm yr<sup>&minus;1</sup> (3 %) increase in <i>Q</i>, and 106 gC m<sup>&minus;2</sup> yr<sup>&minus;1</sup> (9 %) increase in GPP. We found a large spatial variability in response to climate change across the CONUS 12-digit HUC watersheds, but in general, the majority would see consistent increases all variables evaluated. Over half of the watersheds, mostly found in the northeast and the southern part of the southwest, would see an increase in annual <i>Q</i> (&gt; 100 mm yr<sup>&minus;1</sup> or 20 %). In addition, we also evaluated the future annual and monthly changes of hydrology and ecosystem productivity for the 18 Water Resource Regions (WRRs) or two-digit HUCs. The study provides an integrated method and example for comprehensive assessment of the potential impacts of climate change on watershed water balances and ecosystem productivity at high spatial and temporal resolutions. Results may be useful for policy-makers and land managers to formulate appropriate watershed-specific strategies for sustaining water and carbon sources in the face of climate change.
url http://www.hydrol-earth-syst-sci.net/20/935/2016/hess-20-935-2016.pdf
work_keys_str_mv AT ssun projectingwateryieldandecosystemproductivityacrosstheunitedstatesbylinkinganecohydrologicalmodeltowrfdynamicallydownscaledclimatedata
AT gsun projectingwateryieldandecosystemproductivityacrosstheunitedstatesbylinkinganecohydrologicalmodeltowrfdynamicallydownscaledclimatedata
AT ecohen projectingwateryieldandecosystemproductivityacrosstheunitedstatesbylinkinganecohydrologicalmodeltowrfdynamicallydownscaledclimatedata
AT sgmcnulty projectingwateryieldandecosystemproductivityacrosstheunitedstatesbylinkinganecohydrologicalmodeltowrfdynamicallydownscaledclimatedata
AT pvcaldwell projectingwateryieldandecosystemproductivityacrosstheunitedstatesbylinkinganecohydrologicalmodeltowrfdynamicallydownscaledclimatedata
AT kduan projectingwateryieldandecosystemproductivityacrosstheunitedstatesbylinkinganecohydrologicalmodeltowrfdynamicallydownscaledclimatedata
AT yzhang projectingwateryieldandecosystemproductivityacrosstheunitedstatesbylinkinganecohydrologicalmodeltowrfdynamicallydownscaledclimatedata
_version_ 1725725778589515776