Evaluated Crop Evapotranspiration over a Region of Irrigated Orchards with the Improved ACASA–WRF Model
Among the uncertain consequences of climate change on agriculture are changes in timing and quantity of precipitation together with predicted higher temperatures and changes in length of growing season. The understanding of how these uncertainties will affect water use in semiarid irrigated agricult...
| Main Authors: | , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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American Meteorological Society
2014
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| Online Access: | http://hdl.handle.net/1721.1/91282 |
| _version_ | 1811072947568246784 |
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| author | Falk, Matthias Pyles, R. D. Ustin, S. L. Paw U, K. T. Xu, Liyi Whiting, M. L. Sanden, B. L. Brown, P. H. |
| author2 | Massachusetts Institute of Technology. Center for Global Change Science |
| author_facet | Massachusetts Institute of Technology. Center for Global Change Science Falk, Matthias Pyles, R. D. Ustin, S. L. Paw U, K. T. Xu, Liyi Whiting, M. L. Sanden, B. L. Brown, P. H. |
| author_sort | Falk, Matthias |
| collection | MIT |
| description | Among the uncertain consequences of climate change on agriculture are changes in timing and quantity of precipitation together with predicted higher temperatures and changes in length of growing season. The understanding of how these uncertainties will affect water use in semiarid irrigated agricultural regions depends on accurate simulations of the terrestrial water cycle and, especially, evapotranspiration. The authors test the hypothesis that the vertical canopy structure, coupled with horizontal variation in this vertical structure, which is associated with ecosystem type, has a strong impact on landscape evapotranspiration. The practical result of this hypothesis, if true, is validation that coupling the Advanced Canopy–Atmosphere–Soil Algorithm (ACASA) and the Weather Research and Forecasting (WRF) models provides a method for increased accuracy of regional evapotranspiration estimates.
ACASA–WRF was used to simulate regional evapotranspiration from irrigated almond orchards over an entire growing season. The ACASA model handles all surface and vegetation interactions within WRF. ACASA is a multilayer soil–vegetation–atmosphere transfer model that calculates energy fluxes, including evapotranspiration, within the atmospheric surface layer.
The model output was evaluated against independent evapotranspiration estimates based on eddy covariance. Results indicate the model accurately predicts evapotranspiration at the tower site while producing consistent regional maps of evapotranspiration (900–1100 mm) over a large area (1600 km[superscript 2]) at high spatial resolution (Δx = 0.5 km).
Modeled results were within observational uncertainties for hourly, daily, and seasonal estimates. These results further show the robustness of ACASA’s ability to simulate surface exchange processes accurately in a complex numerical atmospheric forecast model such as WRF. |
| first_indexed | 2024-09-23T09:23:42Z |
| format | Article |
| id | mit-1721.1/91282 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T09:23:42Z |
| publishDate | 2014 |
| publisher | American Meteorological Society |
| record_format | dspace |
| spelling | mit-1721.1/912822022-09-30T14:20:41Z Evaluated Crop Evapotranspiration over a Region of Irrigated Orchards with the Improved ACASA–WRF Model Falk, Matthias Pyles, R. D. Ustin, S. L. Paw U, K. T. Xu, Liyi Whiting, M. L. Sanden, B. L. Brown, P. H. Massachusetts Institute of Technology. Center for Global Change Science Xu, Liyi Among the uncertain consequences of climate change on agriculture are changes in timing and quantity of precipitation together with predicted higher temperatures and changes in length of growing season. The understanding of how these uncertainties will affect water use in semiarid irrigated agricultural regions depends on accurate simulations of the terrestrial water cycle and, especially, evapotranspiration. The authors test the hypothesis that the vertical canopy structure, coupled with horizontal variation in this vertical structure, which is associated with ecosystem type, has a strong impact on landscape evapotranspiration. The practical result of this hypothesis, if true, is validation that coupling the Advanced Canopy–Atmosphere–Soil Algorithm (ACASA) and the Weather Research and Forecasting (WRF) models provides a method for increased accuracy of regional evapotranspiration estimates. ACASA–WRF was used to simulate regional evapotranspiration from irrigated almond orchards over an entire growing season. The ACASA model handles all surface and vegetation interactions within WRF. ACASA is a multilayer soil–vegetation–atmosphere transfer model that calculates energy fluxes, including evapotranspiration, within the atmospheric surface layer. The model output was evaluated against independent evapotranspiration estimates based on eddy covariance. Results indicate the model accurately predicts evapotranspiration at the tower site while producing consistent regional maps of evapotranspiration (900–1100 mm) over a large area (1600 km[superscript 2]) at high spatial resolution (Δx = 0.5 km). Modeled results were within observational uncertainties for hourly, daily, and seasonal estimates. These results further show the robustness of ACASA’s ability to simulate surface exchange processes accurately in a complex numerical atmospheric forecast model such as WRF. United States. Dept. of Agriculture. Specialty Crop Research Initiative (Grant 2008-51180-19563) 2014-11-04T14:30:55Z 2014-11-04T14:30:55Z 2014-04 2013-11 Article http://purl.org/eprint/type/JournalArticle 1525-755X 1525-7541 http://hdl.handle.net/1721.1/91282 Falk, Matthias, R. D. Pyles, S. L. Ustin, K. T. Paw U, L. Xu, M. L. Whiting, B. L. Sanden, and P. H. Brown. “Evaluated Crop Evapotranspiration over a Region of Irrigated Orchards with the Improved ACASA–WRF Model.” Journal of Hydrometeorology 15, no. 2 (April 2014): 744–758. © 2014 American Meteorological Society en_US http://dx.doi.org/10.1175/JHM-D-12-0183.1 Journal of Hydrometeorology Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Meteorological Society American Meteorological Society |
| spellingShingle | Falk, Matthias Pyles, R. D. Ustin, S. L. Paw U, K. T. Xu, Liyi Whiting, M. L. Sanden, B. L. Brown, P. H. Evaluated Crop Evapotranspiration over a Region of Irrigated Orchards with the Improved ACASA–WRF Model |
| title | Evaluated Crop Evapotranspiration over a Region of Irrigated Orchards with the Improved ACASA–WRF Model |
| title_full | Evaluated Crop Evapotranspiration over a Region of Irrigated Orchards with the Improved ACASA–WRF Model |
| title_fullStr | Evaluated Crop Evapotranspiration over a Region of Irrigated Orchards with the Improved ACASA–WRF Model |
| title_full_unstemmed | Evaluated Crop Evapotranspiration over a Region of Irrigated Orchards with the Improved ACASA–WRF Model |
| title_short | Evaluated Crop Evapotranspiration over a Region of Irrigated Orchards with the Improved ACASA–WRF Model |
| title_sort | evaluated crop evapotranspiration over a region of irrigated orchards with the improved acasa wrf model |
| url | http://hdl.handle.net/1721.1/91282 |
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