Effects of Optimized Root Water Uptake Parameterization Schemes on Water and Heat Flux Simulation in a Maize Agroecosystem

作     者：Fu CAI Huiqing MING Na MI Yanbing XIE Yushu ZHANG Rongping LI 

作者机构：Institute of Atmospheric Environment China Meteorological Administration Shenyang 110166 Liaoning Province Meteorological Service Center Shenyang 110166 Institute of Meteorological Science of Liaoning Province Shenyang 110166 

出 版 物：《Journal of Meteorological Research》 (气象学报（英文版）)

年 卷 期：2017年第31卷第2期

页      面：363-377页

核心收录：

学科分类：0707[理学-海洋科学] 09[农学] 0815[工学-水利工程] 0706[理学-大气科学] 0816[工学-测绘科学与技术] 0824[工学-船舶与海洋工程] 0901[农学-作物学] 0825[工学-航空宇航科学与技术] 

基　　金：Supported by the National Natural Science Foundation of China(41305058) Cultivation Plan for Young Agricultural Science and Technology Talents of Liaoning Province(2015060 and 2014060) Key Agricultural Science and Industrialization Project of the Science and Technology Department of Liaoning Province(2014210003) 

主　　题：root water uptake land surface model water flux heat flux maize agroecosystem 

摘      要：As root water uptake（RWU）is an important link in the water and heat exchange between plants and ambient air,improving its parameterization is key to enhancing the performance of land surface model *** different types of RWU functions have been adopted in land surface models,there is no evidence as to which scheme most applicable to maize farmland *** on the 2007–09 data collected at the farmland ecosystem field station in Jinzhou,the RWU function in the Common Land Model（Co LM）was optimized with scheme options in light of factors determining whether roots absorb water from a certain soil layer（W_x）and whether the baseline cumulative root efficiency required for maximum plant transpiration（W_c）is *** sensibility of the parameters of the optimization scheme was investigated,and then the effects of the optimized RWU function on water and heat flux simulation were *** results indicate that the model simulation was not sensitive to W_x but was significantly impacted by W_*** the original model,soil humidity was somewhat underestimated for precipitation-free days;soil temperature was simulated with obvious interannual and seasonal differences and remarkable underestimations for the maize late-growth stage;and sensible and latent heat fluxes were overestimated and underestimated,respectively,for years with relatively less precipitation,and both were simulated with high accuracy for years with relatively more *** optimized RWU process resulted in a significant improvement of Co LM’s performance in simulating soil humidity,temperature,sensible heat,and latent heat,for dry *** conclusion,the optimized RWU scheme available for the Co LM model is applicable to the simulation of water and heat flux for maize farmland ecosystems in arid areas.