2008-2022年全球1°/0.5°XCO2数据集

CO2是温室气体中最为重要的成分。大气CO2柱浓度(XCO2)指从地表到大气顶层干燥空气柱中CO2的平均体积比，用来表征大气中CO2分子含量的物理量。由于卫星观测反演的大气CO2柱浓度数据存在大量无观测值的空白区域、时空不规则分布以及多颗卫星数据的不一致等问题，不能直接刻画全球和区域XCH4时空变化特征和规律。项目利用2003年~2022年多源碳卫星(GOSAT、OCO)观测反演的CO2浓度数据，研发建立了多源卫星观测数据的时空融合方法，对卫星观测原数据进行时空地统计建模，处理生成全球陆地长时间序列XCH4时空连续数据集（Mapping-XCH4）。

Carbon dioxide (CO2) is the most critical component of greenhouse gases. Atmospheric CO2 column abundance (XCO2) refers to the average volume mixing ratio of CO2 in the dry air column from the Earth's surface to the top of the atmosphere, which is a physical quantity used to characterize the content of CO2 molecules in the atmosphere. However, the atmospheric CO2 column concentration data retrieved from satellite observations suffer from multiple issues including numerous blank regions without valid observations, irregular spatio-temporal distribution, and inconsistencies among data from different satellites, which makes it impossible to directly depict the spatio-temporal variation characteristics and regularities of global and regional XCH4. This project adopted CO2 concentration data retrieved from observations of multi-source carbon satellites (GOSAT, OCO) spanning from 2003 to 2022, developed a spatio-temporal fusion method for multi-source satellite observation data, carried out spatio-temporal geostatistical modeling on the original satellite observation data, and generated a long-time series spatio-temporally continuous global terrestrial XCH4 dataset (Mapping-XCH4).

搜集汇总

背景与挑战

背景概述

该数据集是基于2008-2022年多源碳卫星（GOSAT、OCO）观测数据，通过时空融合方法生成的全球陆地大气二氧化碳柱浓度（XCO2）时空连续数据集，空间分辨率为1°/0.5°，解决了原始卫星数据中的空白区域和不一致问题，适用于全球和区域二氧化碳变化研究。数据集以栅格格式（tif、shp）提供，存储容量1.63 GB，包含1380个文件，由空天信息研究院遥感与数字地球研究所发布。