Soil moisture is a primary factor influencing vegetation growth. In order to comprehensively investigate the growth status of grassland and evaluate its drought-disaster level, the data from the latest satellite of Sentinel-1 SAR radar and ground-based measurements were used to examine the relation between multi-temporal radar backscattering coefficient and soil moisture variation in the typical steppe in Xilinhot City. The results show that the backscattering coefficient inversed by multi-temporal Sentinel-1 SAR significantly correlated with soil moisture measured based on the ground-based experiments (R2=0.8). Under different ground roughness conditions, the correlation coefficient between the radar backscattering coefficient and the measured soil moisture was about 0.9. The results indicated that Sentinel-1 SAR inversion was highly sensitive to soil moisture in the typical steppe, it could monitor soil moisture dynamics quickly and accurately, and may become a new method for monitoring drought in grasslands.

 Based on the reanalysis data of the upper air grid point from NCEP during 1967一2000，the(harac;teristi<、of both upper and lower air(irc;ulation(urgent fields under the(ondition of heavy or torrential rains were analyzed and the(limatic; models of three upper and lower air(irc;ulation patterns and their departure difference fields were established month by month in May to September by experience and statistical method.  Thus the essential theoretical foundation for analyzing weather forecast result establishing predicting factors data and setting up the model of short range forecast has been provided