Parameterization Scheme Of Noah-Mp-Crop Model

China is a big agricultural country.The planting area of maize is second only to wheat and rice.Because of different regions,varieties or sowing dates,the leaf area index(LAI)of maize varies greatly.Leaf area index(LAI)is the most important physiological parameter for calculating crop evapotranspiration and dry matter accumulation,and it can best reflect the close relationship between remote sensing data and crop growth status.Therefore,the dynamic changes of LAI are studied.The model has important theory and application value.Based on Noah-MP-Crop model,the first part is to optimize some parameters affecting maize growth.Because the results of optimization are not obvious,other factors should also be considered.The first consideration is the effect of temperature gradient on soil water movement,so the second part adds the effect of temperature gradient on soil water movement,and re-establishes soil water and heat under vegetation condition Coupled model.A farmland in Fengqiu County,Henan Province(E114.3325,N35.0625)was selected by Noah-MP-Crop model as the research object.Single-point numerical simulation experiments were carried out using GLDAS data in 2014 and MODIS data LAI in 2014 as the observation value.Specific leaf area,the highest temperature accumulated by GDD,Q10 enzymes maintaining respiration,and leaf's temperature were selected by single parameter sensitivity test.The net photosynthetic rate and the ratio of carbohydrate flux to leaves were used as optimization parameters.The sensitivity parameters were optimized by differential evolution algorithm.The simulation performance of the optimized model was discussed by comparing the simulated and observed values.In this paper,the Noah-MP-Crop model is used to optimize the parameters to make the LAI closer to the observed values.By transferring the optimized parameters to the field management,the agricultural production can be well guided and the yield of maize can be improved.