Based on the quasi-symmetric mixed sliding training period method, the grid analysis products of daily maximum temperature and daily minimum temperature from Land Data Assimilation System of China Meteorological Administration (CLDAS) in recent two years are revised, in order to improve the applicability of the products in Chongqing. The results show that before revision, the average error of daily maximum temperature products in 2021 was 0.63 ℃, and the average absolute error was 1.14 ℃. After revision, the average error decreased to -0.03 ℃, the average absolute error decreased to 0.64 ℃, the accuracy of error less than or equal to 1 ℃ was improved from about 64% to 90%, which obviously improved the applicability of products in western and northeastern Chongqing. Before revision, the average error of daily minimum temperature products in 2021 was -0.22 ℃, and the average absolute error was 0.75 ℃. After revision, the average error was reduced to -0.03 ℃, the average absolute error was reduced to 0.55 ℃, and the accuracy of error less than or equal to 1 ℃ was improved from about 91% to 93%, which improved the applicability of products in central Chongqing.

 Based on cloud to ground (CG) lightning data from ADTD and VLF-3D lightning positioning system and lightning disaster records in Shanxi Province in 2017, the temporal and spatial distribution and current intensity of CG lightning detected by  two systems were comparatively analyzed. The results show that the detection efficiency of three-dimensional system to CG lightning was higher than that of ADTD system, and the number of detected lightning by three-dimensional system was twice as large as that of ADTD system. The positioning accuracy of three-dimensional system to lightning disasters was higher than that of ADTD system. The daily (except for the positive lightning) and monthly variation characteristics of monitored CG lightning by three-dimensional system and occurrence time of peak values were basically consistent with ADTD system. Compared with ADTD system, the high-value region of lightning density with 3.0 fl·km-2·a-1 and above from three-dimensional positioning system increased significantly, while the minimum values below 0.3 fl·km-2·a-1 reduced greatly.

In this paper，the performance of WRF model is validated by simulating wind velocity in January and April over northwestern China，and the errors between simulated and observed values were investigated ． Results show that WRF performance was better in April，when wind speed was big and steady，surface heating strong and temperature increasing faster，but in January wind speed was lower but gust frequently occurred． The relative error in 48 hours at different levels was under 10%，the correlation coefficient ( above0． 8) between observed and simulated values was significant at 90% in April． In January，the mean value of relative error in 48 hours
at different levels was in the range of 20%，and the absolute value of the correlation coefficient was more than 0． 30 and significant at the 99% confidence level． During the two simulation durations，the simulated value was obviously smaller than observed value when wind speed was high． Due to wind dominated by higher level momentum transfer downwards，terrain and thermodynamic function of land surface，the PBL parameters scheme in model is crucial in simulation of wind，especially in northwest China，where vegetable is sparse and terrain complex．