Nested simulation encompasses the estimation of functionals linked to conditional expectations through simulation techniques.In this paper,we treat conditional expectation as a function of the multidimensional conditi...Nested simulation encompasses the estimation of functionals linked to conditional expectations through simulation techniques.In this paper,we treat conditional expectation as a function of the multidimensional conditioning variable and provide asymptotic analyses of general nonparametric least squared estimators on sieve,without imposing specific assumptions on the function’s form.Our study explores scenarios in which the convergence rate surpasses that of the standard Monte Carlo method and the one recently proposed based on kernel ridge regression.We use kernel ridge regression with inducing points and neural networks as examples to illustrate our theorems.Numerical experiments are conducted to support our statements.展开更多
Based on improvement of a distributed hydrology-soil-vegetation model (DHSVM for short) and its application to North China,a nested regional climatic-hydrologic model system is developed by connecting DHSVM with RegCM...Based on improvement of a distributed hydrology-soil-vegetation model (DHSVM for short) and its application to North China,a nested regional climatic-hydrologic model system is developed by connecting DHSVM with RegCM2/China.The simulated climate scenarios,including control and 2×CO_2 outputs,are downscaled to 8 stations in Luanhe River and Sanggan River Basins to drive the hydrology model.According to simulation results,under double CO_2 scenarios,annual mean temperature and evapotranspiration will increase 2.8C and 29 mm,respectively; precipitation also increase but with different value for each basin,6 mm for Luanhe River Basin while 46 mm for Sanggan River Basin;runoff change for the two basins is different too,27 mm decrease for Luanhe River Basin while 26 mm increase for Sanggan River Basin.As a result,the runoff in future for Luanhe River Basin and Sanggan River Basin will be 74 mm and 71 mm, respectively,which is approximately a quarter of annual mean runoff(284 mm)of the whole country.Total streamflow for the two basins will decrease about 2.5×10~8m^3.All these indicate that the warm and dry trend will continue in the two river basins under double CO_2 scenarios.The nested model system,with both climatic and hydrologic prediction ability,could also be applied to other basins in China by parameter adjustment.展开更多
In this paper,we present the results simulated with the Chinese regional climate model nested in NCAR CCM1 GCM through one-way nesting approach.The model has been run for 14 months. The NCAR CCM1(1992)is at rhomboidal...In this paper,we present the results simulated with the Chinese regional climate model nested in NCAR CCM1 GCM through one-way nesting approach.The model has been run for 14 months. The NCAR CCM1(1992)is at rhomboidal truncation(R15),while the horizontal resolution of the Chinese regional climate model is 100 km.It is found that the Chinese regional climate model has some advantages in simulating the surface air temperature and precipitation over the general climate model,because of the improved land surface parameterization.展开更多
文摘Nested simulation encompasses the estimation of functionals linked to conditional expectations through simulation techniques.In this paper,we treat conditional expectation as a function of the multidimensional conditioning variable and provide asymptotic analyses of general nonparametric least squared estimators on sieve,without imposing specific assumptions on the function’s form.Our study explores scenarios in which the convergence rate surpasses that of the standard Monte Carlo method and the one recently proposed based on kernel ridge regression.We use kernel ridge regression with inducing points and neural networks as examples to illustrate our theorems.Numerical experiments are conducted to support our statements.
文摘Based on improvement of a distributed hydrology-soil-vegetation model (DHSVM for short) and its application to North China,a nested regional climatic-hydrologic model system is developed by connecting DHSVM with RegCM2/China.The simulated climate scenarios,including control and 2×CO_2 outputs,are downscaled to 8 stations in Luanhe River and Sanggan River Basins to drive the hydrology model.According to simulation results,under double CO_2 scenarios,annual mean temperature and evapotranspiration will increase 2.8C and 29 mm,respectively; precipitation also increase but with different value for each basin,6 mm for Luanhe River Basin while 46 mm for Sanggan River Basin;runoff change for the two basins is different too,27 mm decrease for Luanhe River Basin while 26 mm increase for Sanggan River Basin.As a result,the runoff in future for Luanhe River Basin and Sanggan River Basin will be 74 mm and 71 mm, respectively,which is approximately a quarter of annual mean runoff(284 mm)of the whole country.Total streamflow for the two basins will decrease about 2.5×10~8m^3.All these indicate that the warm and dry trend will continue in the two river basins under double CO_2 scenarios.The nested model system,with both climatic and hydrologic prediction ability,could also be applied to other basins in China by parameter adjustment.
文摘In this paper,we present the results simulated with the Chinese regional climate model nested in NCAR CCM1 GCM through one-way nesting approach.The model has been run for 14 months. The NCAR CCM1(1992)is at rhomboidal truncation(R15),while the horizontal resolution of the Chinese regional climate model is 100 km.It is found that the Chinese regional climate model has some advantages in simulating the surface air temperature and precipitation over the general climate model,because of the improved land surface parameterization.
