Based on cloud macro and micro characteristic parameters (hereinafter referred to as cloud parameters) retrieved by the FY-2G geostationary satellite data, the temporal and spatial distribution of cloud characteristic parameters in Qinghai Province and 3 sub-regions from 2018 to 2020 were analyzed.The result show that the annual average cloud top height (CTH), cloud top temperature (CTT), overcooled layer depth (OLD), cloud optical depth (COD), effective radius (ER) and liquid water path (LWP) in Qinghai Province are 3.8 km, -9.7 ℃, 2.0 km, 7.1, 7.1 μm and 63.7 g∙m^-2, respectively. Except for CTT, the monthly variation of cloud parameters in the Qaidam Basin and Northeastern Qinghai Province with the same latitude showed roughly two peaks and two valleys and its peaks basically appeared in May and November, and the valleys basically appeared in August, September, December and January. Each cloud parameter was roughly unimodal in Three River Source Region, with a peak in November. The spatial distribution of annual average of each cloud parameter was roughly distributed along the topography and mountain range. Except for CTT, high-value areas corresponded to high mountains, low-value areas corresponded to desert basins and low-altitude areas, there was a low-value area in four seasons in the Qaidam Basin, and its range was largest in summer. There were obvious high-value areas in the Three River Source Region and the Qilian Mountains in Qinghai in spring and winter. The OLD, COD and LWP in Three River Source region were larger in spring and autumn, OLD and LWP in the northeastern Qinghai region were largest in spring. Spring and autumn were good time for artificial rainfall enhancement for the purpose of water conservation, drought resistance and disaster reduction.

Based on the hail data from eleven ground meteorological observation stations in the eastern agricultural region of Qinghai Province from 1961 to 2020, the temporal and spatial distribution of hail days, hail diameter, duration and disaster risk characteristics were analyzed by using statistical methods. The main conclusions are as follows: (1) The hail days in the agricultural area of eastern Qinghai Province decreased with climate tendency rate of 11.6 d·(10 a)^-1 in the past 60 years, which passed the significance test of \alpha=0.05, and after 1995, the anomaly of the total number of hail days changed from the positive to the negative. Hualong was the area with the largest number of hail days, and the number of hail days in Jianzha was the least. (2) Hail occurred mainly from May to September each year with seasonal differences. The diurnal variation of hail was obvious, and the peak occurred at 16:00 BST in the afternoon. (3) The number of hail days was positively correlated with altitude of stations and the correlation coefficient between them was as high as 0.97.(4) In the past 60 years, the hail processes with hail diameter less than 6 mm and the duration less than 9 min accounted for 58.33% and 73.55% of the total number of hail processes, respectively. (5) Xunhua was a low-risk area for hail, Hualong, Huangzhong and Huangyuan were medium-risk areas for hail, and Ledu was a high-risk or extremely high-risk area for hail, which was basically consistent with historical hail disasters.