The invention relates to a rainfall distribution and dynamic measurement method based on a big-data
mobile communication network. The method comprises the following steps: (1) constructing a central
server which is connected with a mobile terminal
base station and establishing a data
communication link among mobile terminals, base stations and the central
server; (2) collecting transmitting power of the base stations and power, received by the base stations, of corresponding mobile terminals in real time; (3) establishing one-to-one correspondence relationships between the mobile terminals and some base stations and calculating the path attenuation of the
communication link between each mobile terminal and the
base station; (4) by taking the transmitting power of the base stations as a reference, calculating attenuation of signals of the mobile terminals caused by non-meteorological factors such as
free space propagation loss, buildings,
vegetation, unset obstacles and the like; obtaining rain-induced attenuation values of mobile terminal signals in
unit distance; establishing correlative relationships between the
signal attenuation characteristic of the mobile terminals and rainfall intensity distribution; carrying out fusion analysis with professional meteorological data such as a
rain gauge,
weather radar and the like to obtain areal distribution of rainfall and dynamic changes of rainfall.