Driving data of surface meteorological elements in the eastern Qinghai Tibet Plateau with a horizontal resolution of 3km * 3km and an hour (2010)

Based on the regional environment integrated system model developed by the Key Laboratory of regional climate and environment, Chinese Academy of Sciences, a regional climate model for convective analysis of the Qinghai Tibet Plateau is established. The grid center of the model simulation area is located at (34n, 100e), the horizontal resolution is 3km, and the number of simulation grid points of the model is 465 (longitude) x 375 (latitude). The vertical direction is 27 floors. The air pressure at the top of the model layer is 50 HPA. The buffer zone consists of 15 grids, the integration time is one year in 2010, and the horizontal resolution of the European medium range weather forecast center is 0.25x0 25. The reanalysis data of era5 with a time interval of 6 hours is used as the driving field to generate the driving data of surface meteorological elements on the Qinghai Tibet Plateau in 2010 with a horizontal resolution of 3 km * 3 km and a time interval of 1 hour After dynamic downscaling by using the convection analysis regional climate model of the Qinghai Tibet Plateau, the bottleneck problem of the lack of meteorological data sets with long-time series and high spatial-temporal resolution in the Qinghai Tibet Plateau and other regions is solved, so as to provide a solid and reliable scientific data foundation for the future change of climate and environment and the construction of ecological security barrier in the Qinghai Tibet Plateau.

0 2022-05-31

Meteorological observation data of Everest integrated atmospheric and environmental observation research station (2019-2020))

This meteorological data is the basic meteorological data of air temperature, relative humidity, wind speed, precipitation, air pressure, radiation, soil temperature and humidity observed in the observation site (86.56 ° e, 28.21 ° n, 4276m) of the comprehensive observation and research station of atmosphere and environment of Qomolangma, Chinese Academy of Sciences from 2019 to 2020. Precipitation is the daily cumulative value. All data are observed and collected in strict accordance with the instrument operation specifications, and some obvious error data are eliminated when processing and generating data The data can be used by students and scientific researchers engaged in meteorology, atmospheric environment or ecology (Note: when using, it must be indicated in the article that the data comes from Qomolangma station for atmospheric and environmental observation and research, Chinese Academy of Sciences (QOMS / CAS))

0 2022-01-27

Dynamic downscaling simulation data set nested between global climate model and WRF model (1995-2060)

This data set is the result of dynamic downscaling simulation of CORDEX region 8 (Central Asia) using WRF model driven by MPI-ESM-HR1.2 model data in CMIP6 plan. The data include 2m temperature (variable T2) and precipitation and precipitation was divided into convective (variable RAINC) and non-convective (variable RAINNC) precipitation. The time period includes historical test (1995-2014), near future (2021-2040) and medium future (2041-2060). The future time period includes SSP1-2.6 and SSP5-8.5. The time resolution of the simulation is once every 6 hours, the spatial resolution is 25km, the number of vertical layers is 51, a whole year in 1994 is used as spin up, the SST update is used, and the parameterized scheme combination with good performance in this area is selected. The data set can better reflect the future climate change characteristics of Central Asia and the Qinghai Tibet Plateau, and provide guidance for relevant countries to adapt to climate change.

0 2021-09-17