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...
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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 (2031–2060) changes in evapotranspiration (ET), water yield (<i>Q</i>) and gross primary productivity (GPP) from the baseline period of 1979–2007 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>−1</sup> (6 %), 1.8° C increase in temperature (<i>T</i>), 37 mm yr<sup>−1</sup> (7 %) increase in ET, 9 mm yr<sup>−1</sup> (3 %) increase in <i>Q</i>, and 106 gC m<sup>−2</sup> yr<sup>−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> (> 100 mm yr<sup>−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 (2031–2060) changes in evapotranspiration (ET),
water yield (<i>Q</i>) and gross primary productivity (GPP) from the baseline
period of 1979–2007 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>−1</sup> (6 %), 1.8° C increase in temperature (<i>T</i>), 37 mm yr<sup>−1</sup>
(7 %) increase in ET, 9 mm yr<sup>−1</sup> (3 %) increase in <i>Q</i>, and
106 gC m<sup>−2</sup> yr<sup>−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> (> 100 mm yr<sup>−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 |
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