Simulation Results from Multi-decadal Satellite Gravity Simulations on Recoverability of Climate Trends in Next Generation Gravity Missions (NGGMs)

The simulation results are supplementary material to Schlaak et al. (in prep.) . The simulations are based on a modeled time series of global changes in soil moisture and snow coverage. The corresponding mass transport signal is obtained from future climate projections until the year 2100 following the shared socio-economic pathway scenario 5-8.5. For different mission concepts, including in-line single-pair missions and a Bender double-pair mission, the recoverability of a time variable mass signal is the time-variable signal is represented by the climate signal in terms of TWS. Here, the Geophysical Fluid Dynamics Laboratory (GFDL) model (H. Guo et al., 2018) is used as it has the best mean match compared with GRACE data and the Coupled Model Intercomparison Project Phase 6 (CMIP6) (L. Jensen et al., 2020)., considering realistic noise assumptions, simulated over several decades.本仿真结果为Schlaak等人（待发表）的补充材料。本次仿真基于全球土壤湿度与积雪覆盖变化的建模时间序列，其对应的质量传输信号源自截至2100年的未来气候预测，该预测遵循共享社会经济路径5-8.5情景。针对包括串联单星对任务与Bender双星对任务在内的多种任务概念，本研究针对以水储量变化（Terrestrial Water Storage, TWS）为表征的气候信号所对应的时变质量信号的可恢复性展开分析。本研究采用地球物理流体动力学实验室（Geophysical Fluid Dynamics Laboratory, GFDL）模型（H. Guo等，2018），因其与重力恢复与气候实验（Gravity Recovery and Climate Experiment, GRACE）数据及耦合模式比较计划第六阶段（Coupled Model Intercomparison Project Phase 6, CMIP6，L. Jensen等，2020）的平均匹配度最优；同时结合真实噪声假设，开展了长达数十年的仿真模拟。