青藏高原日平均地面热源数据集（2001-2022）

青藏高原地面热源数据集，包括地表感热通量和地表潜热通量2个要素。数据为NETCDF格式，时间分辨率为1小时，水平空间分辨率为1°。空间范围为20°N-50°N，60°E-110°E。 该数据集是基于ERA5、ERA5-land、ERA5-Interim、MERRA-2、JRA-55、MODIS、ISCCP-FH和CERES大气再分析资料和卫星资料的地表净辐射、地表温度和土壤湿度数据，使用最大熵增模型（MEP）估算的青藏高原地表感热通量和地表潜热通量，其中使用贝叶斯模型（BMA）方法融合多源资料，以得到更为准确的模型输入数据。详细过程请参阅参考文献。

Qinghai-Tibet Plateau Surface Heat Source Dataset includes two variables: surface sensible heat flux and surface latent heat flux. The data is stored in NETCDF format, with a 1-hour temporal resolution and 1° horizontal spatial resolution. The spatial coverage ranges from 20°N to 50°N and 60°E to 110°E. This dataset estimates the surface sensible heat flux and latent heat flux over the Qinghai-Tibet Plateau using the Maximum Entropy Production (MEP) model, based on surface net radiation, surface temperature and soil moisture data derived from multiple atmospheric reanalysis datasets and satellite products including ERA5, ERA5-land, ERA5-Interim, MERRA-2, JRA-55, MODIS, ISCCP-FH and CERES. The Bayesian Model Averaging (BMA) method is utilized to fuse multi-source data to acquire more accurate model input data. For detailed implementation processes, please refer to the relevant references.

搜集汇总

背景与挑战

背景概述

该数据集为青藏高原日平均地面热源数据（2001-2022），包含地表感热通量和地表潜热通量两个要素，时间分辨率为日，空间分辨率为0.5°-1°。数据基于多源再分析和卫星资料，使用最大熵增模型（MEP）和贝叶斯模型（BMA）方法估算，并以NETCDF格式存储。