The GHG emission reduction resilience of the countries along the Belt and Road reflects the level of GHG emission reduction resilience of the countries along the Belt and Road, and the higher the value of the data, the stronger the GHG emission reduction resilience of the countries along the Belt and Road. The Emissions Database for Global Atmospheric Research (EDGAR) for 2000-2020 was used to prepare the GHG resilience data. The product was prepared based on a sensitivity and adaptation analysis, using year-by-year data of total GHG emissions of countries along the Belt and Road from 2000 to 2020, and a comprehensive diagnosis based on year-by-year changes. The GHG emission reduction resilience dataset for countries along the Belt and Road is an important reference for analyzing and comparing the current GHG emission reduction resilience of each country.
XU Xinliang
The CO2 emission reduction resilience per unit GDP of countries along the Belt and Road reflects the level of CO2 emission reduction resilience per unit GDP of the countries along the Belt and Road, and the higher the value of the data, the stronger the CO2 emission reduction resilience per unit GDP of the countries along the Belt and Road. The CO2 emission reduction resilience per unit of GDP was prepared by referring to the Emissions Database for Global Atmospheric Research (EDGAR) for 2000-2020, using the 2000-2020 data for the period 2000-2020. The CO2 emission reduction resilience products per unit GDP of countries along the "Belt and Road" were prepared based on sensitivity and adaptation analyses, taking into account the year-to-year changes, and through comprehensive diagnosis. The CO2 emission reduction resilience per unit GDP of countries along the "Belt and Road" is an important reference for analyzing and comparing the current CO2 emission reduction resilience per unit GDP of each country.
XU Xinliang
The CO2 emission reduction resilience of the countries along the "Belt and Road" reflects the level of CO2 emission reduction resilience of the countries along the Belt and Road, and the higher the value of the data, the stronger the CO2 emission reduction resilience of the countries along the Belt and Road. The Emissions Database for Global Atmospheric Research (EDGAR) was used to prepare data on the total CO2 emissions of the countries along the "Belt and Road" from 2000 to 2020, taking into account the year-on-year changes. Based on the sensitivity and adaptation analysis, a comprehensive diagnosis was made based on the annual data of the total CO2 emissions of the countries along the "Belt and Road" from 2000 to 2020, and a resilience product for CO2 emission reduction was prepared. "The data set of CO2 emission reduction resilience of countries along the Belt and Road is an important reference for the analysis and comparison of the current CO2 emission reduction resilience of countries.
XU Xinliang
Coupled Model Intercomparison Project Phase 5 (CMIP5) provides a multiple climate model environment, which can be used to predict the future climate change in the key nodes in the Belts and Road to deal with the environmental and climate problems. Key nodes in the Belt and Road are taken as the study regions of this dataset. The ability of 43 climate models in CMIP5 to predict the future climate change in the study regions was assessed and the optimal models under different scenarios were selected according to the RMSE between the prediction results and real observations. This dataset is composed of the prediciton results of precipitation and near-surface air temperature between 2006 and 2065 using the optimal models in monthly temporal frequncy. The spatial resolution of the dataset has been downscaled to 10 km using statistical downscaling method. Data of each period has three bands, namely maximum near-surface air temperature, minimum near-surface air temperature and precipitation. In this data set, the unit of precipitation is kg / (m ^ 2 * s), and the unit of near-surface air temperature is K. This dataset provides data basis for solving environmental and climate problems of the key nodes in the Belts and Road.
LI Xinyan, LING Feng
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