Coupling of a Regional Climate Model with a Crop Development Model and Evaluation of the Coupled Model across China  

作　　者：Jing ZOU Zhenghui XIE Chesheng ZHAN Feng CHEN Peihua QIN Tong HU Jinbo XIE 

机构地区：[1]Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences) [2]Institute of Atmospheric Physics, Chinese Academy of Sciences [3]Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences [4]Zhejiang Institute of Meteorological Sciences

出　　处：《Advances in Atmospheric Sciences》2019年第5期527-540,共14页大气科学进展（英文版）

基　　金：financially supported by the National Key R&D Program of China (Grant No. 2017 YFA0603702);the National Natural Science Foundation (Grant Nos. 41705046, 41606112 and 41571019);the Key Research and Development Program of Shandong Province of China (Grant No. 2016JMRH0538)

摘　　要：In this study, the CERES(Crop Estimation through Resource and Environment Synthesis) crop model was coupled with CLM3.5, the land module of the regional climate model RegCM4. The new coupled model was named RegCM4_CERES; and in this model, crop type was further divided into winter wheat, spring wheat, spring maize, summer maize, early rice, late rice,single rice, and other crop types based on each distribution fraction. The development of each crop sub-type was simulated by the corresponding crop model separately, with each planting and harvesting date. A simulation test using RegCM4_CERES was conducted across China from 1999 to 2008; a control test was also performed using the original RegCM4. Data on crop LAI(leaf area index), soil moisture at 10 cm depth, precipitation, and 2 m air temperature were collected to evaluate the performance of RegCM4_CERES. The evaluation provided comparison of single-station time series, regional distributions,seasonal variations, and statistical indices for RegCM4_CERES. The results revealed that the coupled model had an excellent ability to simulate the phonological changes and spatial variations in crops. The consideration of dynamic crop development in RegCM4_CERES corrected the wet bias of the original RegCM4 over North China and the cold bias over South China.However, the degree of improvement was minimal and the statistical indices for RegCM4_CERES were roughly the same as the original RegCM4.In this study, the CERES(Crop Estimation through Resource and Environment Synthesis) crop model was coupled with CLM3.5, the land module of the regional climate model RegCM4. The new coupled model was named RegCM4_CERES; and in this model, crop type was further divided into winter wheat, spring wheat, spring maize, summer maize, early rice, late rice,single rice, and other crop types based on each distribution fraction. The development of each crop sub-type was simulated by the corresponding crop model separately, with each planting and harvesting date. A simulation test using RegCM4_CERES was conducted across China from 1999 to 2008; a control test was also performed using the original RegCM4. Data on crop LAI(leaf area index), soil moisture at 10 cm depth, precipitation, and 2 m air temperature were collected to evaluate the performance of RegCM4_CERES. The evaluation provided comparison of single-station time series, regional distributions,seasonal variations, and statistical indices for RegCM4_CERES. The results revealed that the coupled model had an excellent ability to simulate the phonological changes and spatial variations in crops. The consideration of dynamic crop development in RegCM4_CERES corrected the wet bias of the original RegCM4 over North China and the cold bias over South China.However, the degree of improvement was minimal and the statistical indices for RegCM4_CERES were roughly the same as the original RegCM4.

关 键 词：MODEL EVALUATION MODEL COUPLING CROP development MODEL regional CLIMATE MODEL CLIMATE modeling 

分 类 号：O4[理学—物理]