Crop growth and irrigation interact to influence surface fluxes in a regional climate-cropland model (WRF3.3-CLM4crop)

Verfasser / Beitragende:
[Yaqiong Lu, Jiming Jin, Lara Kueppers]
Ort, Verlag, Jahr:
2015
Enthalten in:
Climate Dynamics, 45/11-12(2015-12-01), 3347-3363
Format:
Artikel (online)
ID: 605472440
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024 7 0 |a 10.1007/s00382-015-2543-z  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00382-015-2543-z 
245 0 0 |a Crop growth and irrigation interact to influence surface fluxes in a regional climate-cropland model (WRF3.3-CLM4crop)  |h [Elektronische Daten]  |c [Yaqiong Lu, Jiming Jin, Lara Kueppers] 
520 3 |a In this study, we coupled Version 4.0 of the Community Land Model that includes crop growth and management (CLM4crop) into the Weather Research and Forecasting (WRF) model Version 3.3 to better represent interactions between climate and agriculture. We evaluated the performance of the coupled model (WRF3.3-CLM4crop) by comparing simulated crop growth and surface climate to multiple observational datasets across the continental United States. The results showed that although the model with dynamic crop growth overestimated leaf area index (LAI) and growing season length, interannual variability in peak LAI was improved relative to a model with prescribed crop LAI and growth period, which has no environmental sensitivity. Adding irrigation largely improved daily minimum temperature but the RMSE is still higher over irrigated land than non-irrigated land. Improvements in climate variables were limited by an overall model dry bias. However, with addition of an irrigation scheme, soil moisture and surface energy flux partitioning were largely improved at irrigated sites. Irrigation effects were sensitive to crop growth: the case with prescribed crop growth underestimated irrigation water use and effects on temperature and overestimated soil evaporation relative to the case with dynamic crop growth in moderately irrigated regions. We conclude that studies examining irrigation effects on weather and climate using coupled climate-land surface models should include dynamic crop growth and realistic irrigation schemes to better capture land surface effects in agricultural regions. 
540 |a Springer-Verlag Berlin Heidelberg, 2015 
690 7 |a WRF  |2 nationallicence 
690 7 |a CLM  |2 nationallicence 
690 7 |a Dynamic crop growth  |2 nationallicence 
690 7 |a Irrigation  |2 nationallicence 
690 7 |a Climate  |2 nationallicence 
690 7 |a Surface energy flux  |2 nationallicence 
700 1 |a Lu  |D Yaqiong  |u Sierra Nevada Research Institute, University of California, Merced, Merced, CA, USA  |4 aut 
700 1 |a Jin  |D Jiming  |u Department of Watershed Sciences, Utah State University, Logan, UT, USA  |4 aut 
700 1 |a Kueppers  |D Lara  |u Sierra Nevada Research Institute, University of California, Merced, Merced, CA, USA  |4 aut 
773 0 |t Climate Dynamics  |d Springer Berlin Heidelberg  |g 45/11-12(2015-12-01), 3347-3363  |x 0930-7575  |q 45:11-12<3347  |1 2015  |2 45  |o 382 
856 4 0 |u https://doi.org/10.1007/s00382-015-2543-z  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00382-015-2543-z  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Lu  |D Yaqiong  |u Sierra Nevada Research Institute, University of California, Merced, Merced, CA, USA  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Jin  |D Jiming  |u Department of Watershed Sciences, Utah State University, Logan, UT, USA  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Kueppers  |D Lara  |u Sierra Nevada Research Institute, University of California, Merced, Merced, CA, USA  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Climate Dynamics  |d Springer Berlin Heidelberg  |g 45/11-12(2015-12-01), 3347-3363  |x 0930-7575  |q 45:11-12<3347  |1 2015  |2 45  |o 382