Influencing Factors Analysis of Desert Precipitation Based on Big Data

To analyse the long-term effects and disturbances of other meteorological factors on precipitation, the historical information of the Ewenki Banner from 1991 to 2010 for a total of 20 years is taken as an example to construct the dynamic relationship between precipitation and temperature, humidity, wind speed and sunshine hours. The results show that each variable has a first-order single integer sequence at the 1% level of significance and has a stable long-term equilibrium relationship at the 5% level of significance. The vector autoregressive model (VAR) also passes the stability test to satisfy the preconditions for running. According to the analysis of impulse response and variance decomposition, the influence of humidity is greatest except for 43.29% of precipitation subject to its influence. The contribution of humidity reaches 43.85%, exceeding the impact of precipitation itself. The impact of sunshine hours on precipitation has a certain lag period and the fluctuations in the later period are relatively large. The impact of wind speed and temperature on the precipitation is not obvious. The model better simulates the impact of various influencing factors on precipitation and proves its feasibility in the analysis of the influencing factors of desert precipitation, which has certain practical significance.