TY - JOUR
T1 - Irrigation Impact on Water and Energy Cycle During Dry Years Over the United States Using Convection-Permitting WRF and a Dynamical Recycling Model
AU - Yang, Zhao
AU - Qian, Yun
AU - Liu, Ying
AU - Berg, Larry K.
AU - Hu, Huancui
AU - Dominguez, Francina
AU - Yang, Ben
AU - Feng, Zhe
AU - Gustafson, William I.
AU - Huang, Maoyi
AU - Tang, Qi
N1 - Funding Information: This research was supported by the Office of Science of the U.S. Department of Energy (DOE) as part of the Atmospheric System Research (ASR) Program via grant KP1701000/57131. F. D. was supported by National Science Foundation (NSF) CAREER Award AGS1454089. Q. T. was funded by Atmospheric Radiation Measurement program of the U.S. Department of Energy (DOE) under the auspices of the U.S. DOE by Lawrence Livermore National Laboratory under contract DE‐AC52‐07NA27344. The research used computational resources from National Energy Research Scientific Computing Center (NERSC), a U.S. DOE Office of Science User Facility operated under Contract DE‐AC02‐05CH11231. This work has benefited from discussion with Jerome Fast. Koichi Sakaguchi, and Heng Xiao. The Pacific Northwest National Laboratory is operated for DOE by Battelle Memorial Institute under Contract DE‐A06‐76RLO 1830. The authors declare no conflict of interests. Data and results are available at https://portal.nersc.gov/project/m1660/yang560/ . Funding Information: This research was supported by the Office of Science of the U.S. Department of Energy (DOE) as part of the Atmospheric System Research (ASR) Program via grant KP1701000/57131. F. D. was supported by National Science Foundation (NSF) CAREER Award AGS1454089. Q. T. was funded by Atmospheric Radiation Measurement program of the U.S. Department of Energy (DOE) under the auspices of the U.S. DOE by Lawrence Livermore National Laboratory under contract DE-AC52-07NA27344. The research used computational resources from National Energy Research Scientific Computing Center (NERSC), a U.S. DOE Office of Science User Facility operated under Contract DE-AC02-05CH11231. This work has benefited from discussion with Jerome Fast. Koichi Sakaguchi, and Heng Xiao. The Pacific Northwest National Laboratory is operated for DOE by Battelle Memorial Institute under Contract DE-A06-76RLO 1830. The authors declare no conflict of interests. Data and results are available at https://portal.nersc.gov/project/m1660/yang560/. Publisher Copyright: ©2019. American Geophysical Union. All Rights Reserved.
PY - 2019/11/16
Y1 - 2019/11/16
N2 - An irrigation scheme is implemented in the Weather Research and Forecasting (WRF) model to investigate irrigation impacts over the Continental U.S. (CONUS). Four major irrigated regions and two downwind regions were chosen to understand irrigation impacts over different climate regimes with a focus on irrigation-induced changes on the water and energy cycles. The Dynamic Recycling Model (DRM) is employed to quantify precipitation induced by irrigation and the precipitation recycling ratios over each irrigated region. With the irrigation scheme, WRF improves the simulated precipitation, surface skin temperature, and energy fluxes compared to reference datasets. For the energy cycle, irrigation increases latent heat flux over the irrigated regions along with reduced sensible heat flux. The evaporative cooling effect induced by irrigation leads to a cooler surface and less outgoing longwave radiation at the surface. Irrigation also intensifies the hydrological cycle over the irrigated regions, reflected by the increased precipitation, evapotranspiration, recycling ratio, and moisture export. Downwind regions exhibit increased precipitation and evaporation, decreased moisture flux divergence, and less consistent variations in recycling ratio. The precipitation increases over the irrigated regions can be partly explained by the more unstable low-level conditions, while reduced net moisture export is coincident with the precipitation increases over the downwind regions.
AB - An irrigation scheme is implemented in the Weather Research and Forecasting (WRF) model to investigate irrigation impacts over the Continental U.S. (CONUS). Four major irrigated regions and two downwind regions were chosen to understand irrigation impacts over different climate regimes with a focus on irrigation-induced changes on the water and energy cycles. The Dynamic Recycling Model (DRM) is employed to quantify precipitation induced by irrigation and the precipitation recycling ratios over each irrigated region. With the irrigation scheme, WRF improves the simulated precipitation, surface skin temperature, and energy fluxes compared to reference datasets. For the energy cycle, irrigation increases latent heat flux over the irrigated regions along with reduced sensible heat flux. The evaporative cooling effect induced by irrigation leads to a cooler surface and less outgoing longwave radiation at the surface. Irrigation also intensifies the hydrological cycle over the irrigated regions, reflected by the increased precipitation, evapotranspiration, recycling ratio, and moisture export. Downwind regions exhibit increased precipitation and evaporation, decreased moisture flux divergence, and less consistent variations in recycling ratio. The precipitation increases over the irrigated regions can be partly explained by the more unstable low-level conditions, while reduced net moisture export is coincident with the precipitation increases over the downwind regions.
KW - Irrigation
KW - energy budget
KW - land-atmosphere interaction
KW - moisture tracking
KW - water recycling
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U2 - 10.1029/2019JD030524
DO - 10.1029/2019JD030524
M3 - Article
SN - 2169-897X
VL - 124
SP - 11220
EP - 11241
JO - Journal of Geophysical Research Atmospheres
JF - Journal of Geophysical Research Atmospheres
IS - 21
ER -