caa a22 4500 605472440 CHVBK 20210128100338.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s00382-015-2543-z doi (NATIONALLICENCE)springer-10.1007/s00382-015-2543-z Crop growth and irrigation interact to influence surface fluxes in a regional climate-cropland model (WRF3.3-CLM4crop) [Elektronische Daten] [Yaqiong Lu, Jiming Jin, Lara Kueppers] 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. Springer-Verlag Berlin Heidelberg, 2015 WRF nationallicence CLM nationallicence Dynamic crop growth nationallicence Irrigation nationallicence Climate nationallicence Surface energy flux nationallicence Lu Yaqiong Sierra Nevada Research Institute, University of California, Merced, Merced, CA, USA aut Jin Jiming Department of Watershed Sciences, Utah State University, Logan, UT, USA aut Kueppers Lara Sierra Nevada Research Institute, University of California, Merced, Merced, CA, USA aut Climate Dynamics Springer Berlin Heidelberg 45/11-12(2015-12-01), 3347-3363 0930-7575 45:11-12<3347 2015 45 382 https://doi.org/10.1007/s00382-015-2543-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00382-015-2543-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lu Yaqiong Sierra Nevada Research Institute, University of California, Merced, Merced, CA, USA aut NATIONALLICENCE 700 1- Jin Jiming Department of Watershed Sciences, Utah State University, Logan, UT, USA aut NATIONALLICENCE 700 1- Kueppers Lara Sierra Nevada Research Institute, University of California, Merced, Merced, CA, USA aut NATIONALLICENCE 773 0- Climate Dynamics Springer Berlin Heidelberg 45/11-12(2015-12-01), 3347-3363 0930-7575 45:11-12<3347 2015 45 382