Long-term global CO2 fluxes estimated by NICAM-based Inverse Simulation for Monitoring CO2 (NISMON-CO2)

This dataset contains global CO2 fluxes estimated by NICAM-based Inverse Simulation for Monitoring CO2 (NISMON-CO2). Spatiotemporal variations of the CO2 fluxes at the Earth's surface are constrained by observations of atmospheric CO2 mole fractions. The analyzed (posterior) fluxes are derived by an optimization calculation of the four-dimensional variational method coupled with the atmospheric transport model NICAM-TM. The analysis period is set long-term so that one can investigate not only the seasonal cycles but also the interannual variations of CO2 fluxes.

搜集汇总

背景与挑战

背景概述

该数据集通过NICAM-TM大气传输模型结合四维变分反演方法，估计了全球地表二氧化碳通量的长期时空变化，覆盖时间从1990年1月1日至2022年12月31日，具有月度时间分辨率和1.0 x 1.0度的空间分辨率。数据集旨在支持研究二氧化碳通量的季节循环和年际变化，为气候变化和碳循环研究提供关键数据支持。