Based on the precipitation, snow cover depth and temperature data from 75 stations in Zhejiang Province, the National Centers for Environmental Prediction/Department of Energy (NCEP/DOE) daily reanalysis data, and Madden-Julian Oscillation (MJO) index, the general characteristics and influence mechanism of a freezing rain and snow process occurred in Zhejiang Province during 24-28 January of 2018 has been investigated. The results are as follows: (1) From January 24 to 28, 2018, continuous rain and snow weather occurred in Zhejiang, with 36.2 mm accumulated precipitation averaged over the whole areas. During the freezing rain and snow period, the maximum snow cover depth in plain and plateau ranged from 10 to 20 cm and from 20 to 35 cm, respectively, and the average temperature in Huzhou was below 0 ℃, about 4 ℃ lower than the historical.(2) During the snowfall, the trough near the Lake Baikal at high latitudes moved eastward and southward, while the southern branch trough at low latitudes moved eastward and northward. Cold and warm air flows converged over Zhejiang, and the water vapor convergence was strong, leading to the occurrence of heavy snowfall. (3) The strong MJO event developed eastward, and the sea surface temperature (SST) over the maritime continent increased, which strengthened the local meridional circulation and promoted the warm and wet air to extend westward and northward, providing power and moisture conditions for the formation of rain and snow weather. (4) Rossby wave energy from the North Atlantic and the low latitude Bay of Bengal-South China Sea accumulating in East Asia, promoted the maintenance and development of negative East Asia-Pacific (EAP) teleconnection, and was an important reason for continuous snow (rainfall) in Zhejiang Province.

A forest fire occurred in Qinyuan County, Shanxi Province on June 5, 2020. Based on the analysis of weather situation, radar echo, lightning location and other multi-source meteorological data, and European Centre for Medium-Range Weather Forecasts （ECMWF） fifth-generation global atmospheric reanalysis （ERA5）,the evolution characteristics of meteorological elements including temperature and precipitation were analyzed in the early stage and during the forest fire, and combined with the field investigation, the cause of the forest fire were given. The results show that the forest fire was caused by a positive lightning, the lightning point was at the edge of convective cloud and the lightning occurred at 15：39 BST on June 5, with the current intensity of 42.2 kA.There was no precipitation in the areas around fire site for 2 consecutive days in the early stage, the 2 m temperature in the areas around fire site increased significantly on the day of the forest fire, with the air temperature of 30-33 ℃, and the precipitation was less than 0.1 mm and it was breezy.

Based on hourly temperature and precipitation grid data of CMA land data assimilation system (CLDAS), ground meteorological observation data at 119 weather stations of Inner Mongolia and the spatial distribution of irrigated crop fields, the key meteorological factors and climatic division indexes were determined by considering fully planting technology and agricultural climatic characteristics of sunflower following spring wheat harvest in agro-climatic ecological regions of Inner Mongolia. And taking suitable growth days and climate suitability in the whole growth period as zoning indicators, the refined climatic suitability division of sunflower following spring wheat harvest in Inner Mongolia was studied under the operation of ArcGIS. The results show that the heat shortage and drought in growing season mainly restricted the regular growth and yield formation of sunflower following spring wheat harvest in Inner Mongolia, and the whole region was divided into unsuitable zone, more suitable zone, suitable zone and the most suitable zone. The irrigation conditions in Hetao irrigation district, Tumochuan plain and West Liaohe plain were better, which were particularly suitable to the growth of sunflower following spring wheat harvest, so these regions were the most suitable districts of sunflower growing. Due to serious shortage of heat resource in most areas of middle and eastern Inner Mongolia and the deficit of precipitation in the north of mid-western Inner Mongolia after the transplanting, the sunflower following spring wheat harvest was quite immature, so these regions were unsuitable areas of sunflower growing. The climatic suitability division of sunflower following spring wheat harvest based on grid data of CLDAS was consistent with the division distribution based on meteorological data of weather stations in Inner Mongolia, but the details of CLDAS data division were more refined than that of stations data. Hetao irrigation district was the most suitable area of sunflower following spring wheat harvest in Inner Mongolia, which was accord with the current layout of sunflower following spring wheat harvest. Therefore, this division result could provide some references for the rational layout of sunflower following spring wheat harvest in Inner Mongolia under the background of climate change.

 Based on snow depth during 1981-2010 from two reanalysis data sets :ERA-Interim/Land (hereafter referred to as Land) and ERA-20C (hereafter referred to as 20C), the observation data of meteorological stations in Inner Mongolia were taken as the standard, the applicability of snow depth of reanalysis in Inner Mongolia was evaluated comprehensively. The results were as follows: (1) Two reanalysis data sets both reproduced the spatial distribution of snow depth in Inner Mongolia, showing a significant decline trend from northeast to southwest, and 20C reanalysis described well in spatial distribution in descending order from northeast to southwest. (2) Monthly variation of average snow depth of Land reanalysis was compared with observations, it was found that a negative deviation existed on the whole and average snow depth of Land reanalysis was systematically underestimated. However, the simulation effect of 20C reanalysis in eastern and western region was good, and simulated snow depth of  20C reanalysis was compared with observations, it was found that the positive deviation of 20C reanalysis was larger in the central region. (3) The two reanalysis data sets reprensented well in monthly variation of snow depth in eastern, central and western Inner Mongolia. The simulation effect of 20C reanalysis was better than that of Land reanalysis. Simulation effect was best in the eastern region, followed by the central region, and the western region was worst. (4) The mean deviation and root mean square error of snow depth of two reanalysis data sets were relatively small, correlation coefficient between reanalysis and observed snow depth passd the 0.001 significance test. The difference of snow depth of two reanalysis data sets was smaller, but the difference between reanalysis and observed snow depth showed a negative bias.

In this paper, using routine weather data, satellite images twn storms. whit卜nccnrred nn 20th Incal and June 24th in 2004 in Hebei province, were comparatively and Doppler radar data, the analyzed. The results indicate that the reference information June ahnnt strong wind and hail'、forecasting
can be obtained by combining vortex analysis with  mesoscale cyclone products, reflect the  Intensitv of round cloud storms  on satellite images and the size of vertical integrated liquid from Doppler radar products intensity of storms.