Irrigation Impact on Water and Energy Cycle During Dry Years Over the United States Using Convection-Permitting WRF and a Dynamical Recycling Model
Abstract
In this research, 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 themore »
- Authors:
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[1];
[1];
[1];
[1];
[1];
[2];
[3];
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[4]
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Univ. of Illinois at Urbana-Champaign, IL (United States)
- Nanjing Univ. (China)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA); National Science Foundation (NSF); USDOE Office of Science (SC)
- OSTI Identifier:
- 1580681
- Alternate Identifier(s):
- OSTI ID: 1574084; OSTI ID: 1605361
- Report Number(s):
- LLNL-JRNL-793010; PNNL-SA-141462
Journal ID: ISSN 2169-897X; 991853; TRN: US2100719
- Grant/Contract Number:
- AC52-07NA27344; KP1701000/57131; AGS1454089; AC05-76RL01830; AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Geophysical Research: Atmospheres
- Additional Journal Information:
- Journal Volume: 124; Journal Issue: 21; Journal ID: ISSN 2169-897X
- Publisher:
- American Geophysical Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; irrigation; land-atmosphere interaction; water recycling; energy budget; moisture tracking
Citation Formats
Yang, Zhao, Qian, Yun, Liu, Ying, Berg, Larry K., Hu, Huancui, Dominguez, Francina, Yang, Ben, Feng, Zhe, Gustafson, William I., Huang, Maoyi, and Tang, Qi. Irrigation Impact on Water and Energy Cycle During Dry Years Over the United States Using Convection-Permitting WRF and a Dynamical Recycling Model. United States: N. p., 2019.
Web. doi:10.1029/2019JD030524.
Yang, Zhao, Qian, Yun, Liu, Ying, Berg, Larry K., Hu, Huancui, Dominguez, Francina, Yang, Ben, Feng, Zhe, Gustafson, William I., Huang, Maoyi, & Tang, Qi. Irrigation Impact on Water and Energy Cycle During Dry Years Over the United States Using Convection-Permitting WRF and a Dynamical Recycling Model. United States. https://doi.org/10.1029/2019JD030524
Yang, Zhao, Qian, Yun, Liu, Ying, Berg, Larry K., Hu, Huancui, Dominguez, Francina, Yang, Ben, Feng, Zhe, Gustafson, William I., Huang, Maoyi, and Tang, Qi. Wed .
"Irrigation Impact on Water and Energy Cycle During Dry Years Over the United States Using Convection-Permitting WRF and a Dynamical Recycling Model". United States. https://doi.org/10.1029/2019JD030524. https://www.osti.gov/servlets/purl/1580681.
@article{osti_1580681,
title = {Irrigation Impact on Water and Energy Cycle During Dry Years Over the United States Using Convection-Permitting WRF and a Dynamical Recycling Model},
author = {Yang, Zhao and Qian, Yun and Liu, Ying and Berg, Larry K. and Hu, Huancui and Dominguez, Francina and Yang, Ben and Feng, Zhe and Gustafson, William I. and Huang, Maoyi and Tang, Qi},
abstractNote = {In this research, 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.},
doi = {10.1029/2019JD030524},
journal = {Journal of Geophysical Research: Atmospheres},
number = 21,
volume = 124,
place = {United States},
year = {Wed Nov 13 00:00:00 EST 2019},
month = {Wed Nov 13 00:00:00 EST 2019}
}
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