Analysis And Optimization Of Soil Moisture And Snow Data

Soil moisture is an important environmental factors and process parameters of meteorology and climatology. The large amounts of water exists in the form of snow, and it plays an important effect on the change of soil moisture.First of all, we compare ECWMF and NECP reanalysis data with AMSR-E soil moisture in spatial and temporal, Evaluation of three consistency and test the AMSR-E soil moisture. Test area ECWMF. NECP and AMSR-E,soil moisture site observations. The results show that:(1) Global and regional AMSR-E, ECWMF NECP soil moisture spatial distribution characteristics of a good agreement, but the AMSR-E soil moisture significantly smaller value.(2) The three soil moisture and precipitation, a good correlation between the comparison better correspondence between ECWMF and NECP soil moisture and precipitation;(3) Site soil humidity compared, ECWMF and NECP soil humidity is too large, the AMSR-E soil moisture small, the nationwide159sites in2009statistics showed that the root mean square error of the ECWMF NECP site (0.107,0.124) is less than the AMSR-E, the root mean square error (0.127).Secondly, MODIS, AMSR-E IMS snow data fusion, to generate a new data quarters of data in space and time comparison, and four copies of the data were compared to the station data to verify the four the accuracy of the types of data:(1) In the space distribution of AMSR-E snow days in the big value is greater than the area of large values of MODIS and IMS snow days, a wider range of the same time span in the value of the large value area. Approximation with the other three data fusion data, the spatial distribution of snow days, the big value snow days MODIS data closer.(2) In the time series, the trend of four snow data grid points is basically the same, more winter and spring snow grid points fewer summer, the snow grid points in September after a slight rebound. (3) The use of agricultural gas stations snow maximum depth of observation data comparing authentication data in the data of the four kinds of snow, its consistency were73.32%,57.79%,48.04%and79.32%. Consistent data field site data fusion rate was significantly higher than that before the fusion of three data prove viable fusion method.