Using ERA5 precipitation data, the mean annual temperature in the Qaidam region was calculated. The rate of temperature change from 1985 to 2018 was determined through interpolation and regression analysis. A fishnet tool was employed to statistically analyze the temperature change rate per 100 km.
ERA5 temperature and precipitation dataset.
Based on era5 data, the annual average temperature of Qaidam Basin from 1985 to 2015 is calculated. Through interpolation, regression analysis, and the same fishing net as the glacier, the temperature change rate of 100km is calculated.
Kriging interpolation principle: Z ̂ (s_0 )=∑_ (i=1)^N▒〖 λ_ i Z(s_i)〗
Z (s_i) is the measured value of the ith position, λ_ I is the weight of the measured value at the ith position, s_ 0 is the predicted position and N is the number of measured values.
Regression analysis principle: y = a * x + B
a: Regression coefficient
b: Intercept
The ERA5 reanalysis dataset is the fifth-generation product from the European Centre for Medium-Range Weather Forecasts (ECMWF). It provides extensive land climate variables distributed on a global 0.25°×0.25° grid. Due to its high temporal and spatial resolution, ERA5 enables detailed assessments of meteorological conditions.
(1) Data production process: ERA5 offers a vast array of oceanic and hourly climate variables.
(2) Methodology and standardization: The data cover the Earth on a 0.25°×0.25° grid, containing over 200 parameters, including hourly atmospheric, terrestrial, and oceanic climate variables. The dataset is generated using an improved 3D-Var (three-dimensional variational) assimilation technique, offering advantages such as high spatiotemporal resolution, rapid updates, and extensive parameter coverage.
During data processing, all raw data are preserved.
| # | number | name | type |
| 1 | 2018YFC0406600 | National key R & D plan |
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CSTR:11738.11.ncdc.Hydro.db2430.2022
10.12072/ncdc.Hydro.db2430.2022