RETRACTED ARTICLE: Simulation and spatiotemporal pattern of air temperature and precipitation in Eastern Central Asia using RegCM
2018
Central Asia is a region that has a large land mass, yet meteorological
stations in this area are relatively scarce. To address this data issues, in this
study, we selected two reanalysis datasets (the ERA40 and NCEP/NCAR) and downscaled
them to 40 × 40 km using RegCM. Then three gridded datasets (the CRU, APHRO, and WM)
that were extrapolated from the observations of Central Asian meteorological
stations to evaluate the performance of RegCM and analyze the spatiotemporal
distribution of precipitation and air temperature. We found that since the 1960s,
the air temperature in Xinjiang shows an increasing trend and the distribution of
precipitation in the Tianshan area is quite complex. The precipitation is increasing
in the south of the Tianshan Mountains (Southern Xinjiang, SX) and decreasing in the
mountainous areas. The CRU and WM data indicate that precipitation in the north of
the Tianshan Mountains (Northern Xinjiang, NX) is increasing, while the APHRO data
show an opposite trend. The downscaled results from RegCM are generally consistent
with the extrapolated gridded datasets in terms of the spatiotemporal patterns. We
believe that our results can provide useful information in developing a regional
climate model in Central Asia where meteorological stations are scarce.
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