The Chinese Global Atmospheric Reanalysis (CRA-40) system operates with a model that has a horizontal resolution of T574, which translates to roughly 34 km. In the vertical axis, it incorporates 64 hybrid σ-pressure levels, with the model’s apex set at 0.27 hPa, corresponding to an altitude of approximately 55 km. The system employs a three-dimensional variational assimilation technique. The atmospheric reanalysis products are offered at five horizontal resolutions: 34 km, 0.25°, 0.5°, 1°, and 2.5°, and are available at three different time scales: every 6 hours, daily, and monthly. The products cover a comprehensive range of variables, including those related to the atmosphere, land surface, and oceans, amounting to a total of 204 variables. Testing and evaluation have confirmed the reliability of the data quality and the effectiveness of the products for various applications.

The Chinese Global Atmospheric Reanalysis (CRA-40) system operates with a model that has a horizontal resolution of T574, which translates to roughly 34 km. In the vertical axis, it incorporates 64 hybrid σ-pressure levels, with the model’s apex set at 0.27 hPa, corresponding to an altitude of approximately 55 km. The system employs a three-dimensional variational assimilation technique. The atmospheric reanalysis products are offered at five horizontal resolutions: 34 km, 0.25°, 0.5°, 1°, and 2.5°, and are available at three different time scales: every 6 hours, daily, and monthly. The products cover a comprehensive range of variables, including those related to the atmosphere, land surface, and oceans, amounting to a total of 204 variables. Testing and evaluation have confirmed the reliability of the data quality and the effectiveness of the products for various applications.

The Chinese Global Atmospheric Reanalysis (CRA-40) system operates with a model that has a horizontal resolution of T574, which translates to roughly 34 km. In the vertical axis, it incorporates 64 hybrid σ-pressure levels, with the model’s apex set at 0.27 hPa, corresponding to an altitude of approximately 55 km. The system employs a three-dimensional variational assimilation technique. The atmospheric reanalysis products are offered at five horizontal resolutions: 34 km, 0.25°, 0.5°, 1°, and 2.5°, and are available at three different time scales: every 6 hours, daily, and monthly. The products cover a comprehensive range of variables, including those related to the atmosphere, land surface, and oceans, amounting to a total of 204 variables. Testing and evaluation have confirmed the reliability of the data quality and the effectiveness of the products for various applications.

The National Meteorological Information Center has established the Global Land Surface Reanalysis System (CRA-40/LAND) using core technologies such as ensemble assimilation algorithms and multi-source fusion methods. The model features a horizontal resolution of Gaussian grid 1152×576 (approximately 34 km) and a temporal resolution of every 3 hours. This dataset is the atmospheric forcing dataset of CRA/LAND, including elements such as 2m air temperature, 2m specific humidity, 10m U wind, 10m V wind, and precipitation. Evaluations and assessments have confirmed the reliable data quality and the products’ effectiveness in various applications.

The National Meteorological Information Center has established a global land surface reanalysis system in China based on core technologies such as set assimilation algorithm, multi-source fusion method, Noah 3.3 land surface model, and surface parameter optimization. The model has a horizontal resolution of Gaussian grid 1152 × 576 (about 34 km), a time resolution of 3 hours per hour, and is vertically divided into 4 layers (0-0.1, 0.1-0.4, 0.4-1.0, 1.0-2.0 m). This includes two types of datasets: atmospheric driven fusion products (2m temperature, 2m specific humidity, 10m U wind, 10m V wind, precipitation) and land surface products (including about 30 land surface elements such as surface temperature, soil temperature, soil humidity, flux, and snow cover). The inspection and evaluation show that the product data quality is reliable and the application effect is good.

The National Meteorological Information Center has established a global land surface reanalysis system in China based on core technologies such as set assimilation algorithm, multi-source fusion method, Noah 3.3 land surface model, and surface parameter optimization. The model has a horizontal resolution of Gaussian grid 1152 × 576 (about 34 km), a time resolution of 3 hours per hour, and is vertically divided into 4 layers (0-0.1, 0.1-0.4, 0.4-1.0, 1.0-2.0 m). This includes two types of datasets: atmospheric driven fusion products (2m temperature, 2m specific humidity, 10m U wind, 10m V wind, precipitation) and land surface products (including about 30 land surface elements such as surface temperature, soil temperature, soil humidity, flux, and snow cover). The inspection and evaluation show that the product data quality is reliable and the application effect is good.

The National Meteorological Information Center has developed the Chinese Global Land Surface Reanalysis System (CRA-40/LAND) by utilizing core technologies such as ensemble assimilation algorithms, multi-source fusion methods, the Noah 3.3 land surface model, and surface parameter optimization. The model operates at a horizontal resolution of Gaussian grid 1152×576 (approximately 34 km) and a temporal resolution of every 3 hours, with four vertical layers (0-0.1 m, 0.1-0.4 m, 0.4-1.0 m, 1.0-2.0 m). This dataset comprises the land surface model products of CRA/LAND, including approximately 30 land surface elements such as surface temperature, soil temperature, soil moisture, fluxes, and snow cover. Evaluations and assessments have confirmed the reliable data quality and the products’ effectiveness in various applications.

The National Meteorological Information Center has established a global land surface reanalysis system in China based on core technologies such as set assimilation algorithm, multi-source fusion method, Noah 3.3 land surface model, and surface parameter optimization. The model has a horizontal resolution of Gaussian grid 1152 × 576 (about 34 km), a time resolution of 3 hours per hour, and is vertically divided into 4 layers (0-0.1, 0.1-0.4, 0.4-1.0, 1.0-2.0 m). This includes two types of datasets: atmospheric driven fusion products (2m temperature, 2m specific humidity, 10m U wind, 10m V wind (updated with a lag of 1 hour), precipitation (updated with a lag of 8 days), and land surface products (including about 30 land surface elements such as surface temperature, soil temperature, soil humidity, flux, snow cover, etc., updated periodically). The inspection and evaluation show that the product data quality is reliable and the application effect is good.

The National Meteorological Information Center has established a global land surface reanalysis system in China based on core technologies such as set assimilation algorithm, multi-source fusion method, Noah 3.3 land surface model, and surface parameter optimization. The model has a horizontal resolution of Gaussian grid 1152 × 576 (about 34 km), a time resolution of 3 hours per hour, and is vertically divided into 4 layers (0-0.1, 0.1-0.4, 0.4-1.0, 1.0-2.0 m). This includes two types of datasets: atmospheric driven fusion products (2m temperature, 2m specific humidity, 10m U wind, 10m V wind (updated with a lag of 1 hour), precipitation (updated with a lag of 8 days), and land surface products (including about 30 land surface elements such as surface temperature, soil temperature, soil humidity, flux, snow cover, etc., updated periodically). The inspection and evaluation show that the product data quality is reliable and the application effect is good.