The Ensemble Mars Atmosphere Reanalysis System (EMARS) dataset version 1.0 contains hourly gridded atmospheric variables for the planet Mars, spanning Mars Year (MY) 24 through 33 (1999 through 2017). A reanalysis represents the best estimate of the state of the atmosphere by combining observations that are sparse in space and time with a dynamical model and weighting them by their uncertainties. EMARS uses the Local Ensemble Transform Kalman Filter (LETKF) for data assimilation with the GFDL/NASA Mars Global Climate Model (MGCM). Observations that are assimilated include the Thermal Emission Spectrometer (TES) and Mars Climate Sounder (MCS) temperature retrievals. The dataset includes gridded fields of temperature, wind, surface pressure, as well as dust, water ice, CO₂ surface ice and other atmospheric quantities. Reanalyses are useful for both science and engineering studies, including investigations of transient eddies, the polar vortex, thermal tides and dust storms, and during spacecraft operations.

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整体火星大气再分析系统（EMARS）版本1.0

整体火星大气再分析系统（EMARS）数据集版本1.0包含火星行星的每小时网格化大气变量，跨越火星年（MY）24至33（1999年至2017年）。重新分析通过将时空稀疏的观测与动力学模型相结合，并根据其不确定性对它们进行加权，从而代表对大气状态的最佳估计。EMARS使用本地集成变换卡尔曼滤波器（LETKF）与GFDL / NASA火星全球气候模型（MGCM）进行数据同化。被吸收的观测数据包括热发射光谱仪（TES）和火星气候探测仪（MCS）温度检索。数据集包括温度，风，表面压力以及灰尘，水冰，CO _2的网格化字段地表冰和其他大气量。再分析对于科学和工程研究都是有用的，包括瞬态涡流，极涡，热潮和沙尘暴以及航天器运行期间的研究。