Meteorological disasters occur frequently in the Belt and Road region.
Among the 10 countries most severely affected by meteorological disasters
in the world, 7 of them are in the Belt and Road region. It is of great
significance for studying meteorological disaster events and reducing
disaster risks to know the historical meteorological conditions of this
region and to know the spatial and temporal distribution rules of meteorological
indexes such as temperature and precipitation in this region. This
knowledge application is based on WorldClim's historical meteorological
data after compilation, extraction and mapping, reflecting the three
indicators of the monthly maximum temperature, monthly minimum temperature
and monthly total precipitation in January, April, July and October in the
Belt and Road region in 2018. It is of certain significance for users to
understand the basic meteorological rules of the region and to serve the
prevention of meteorological disasters.
Historical meteorological data comes from the monthly historical weather
data set of WorldClim (https://www.worldclim.org/). This data set is downscaled
from the CRU-TS-4.03 data set and obtained based on WorldClim2.1 error
correction. The data set has a global spatial range, a time range from 1960
to 2018, and a spatial resolution of 2.5 ', which is about 4,600 meters.
And it includes three variables: monthly maximum temperature, monthly minimum
temperature and monthly precipitation. Using ArcGIS spatial analysis and
processing tools such as cropping and mapping, the monthly maximum temperature,
monthly minimum temperature and monthly precipitation in January, April, July
and October of 2018 in the Belt and Road region were mapped. The figure below
shows the monthly precipitation in April 2018.