Mshpy23:a user-friendly,parameterized model of magnetosheath conditions  

作　　者：Jaewoong Jung Hyunju Connor Andrew Dimmock Steve Sembay Andrew Read Jan Soucek 

机构地区：[1]NASA Goddard Space Flight Center,Greenbelt,MD,USA [2]Department of Astronomy,University of Maryland,College Park,MD,USA [3]Swedish Institude of Space Physics,Uppsala,Sweden [4]University of Leicester,Leicester,UK [5]Institute of Atmospheric Physics,Academy of Sciences of the Czech Republic

出　　处：《Earth and Planetary Physics》2024年第1期89-104,共16页地球与行星物理（英文版）

基　　金：supported by the NSF grant AGS-1928883;the NASA grants,80NSSC20K1670 and 80MSFC20C0019;support from NASA GSFC IRAD;HIF;ISFM funds。

摘　　要：Lunar Environment heliospheric X-ray Imager(LEXI)and Solar wind−Magnetosphere−Ionosphere Link Explorer(SMILE)will observe magnetosheath and its boundary motion in soft X-rays for understanding magnetopause reconnection modes under various solar wind conditions after their respective launches in 2024 and 2025.Magnetosheath conditions,namely,plasma density,velocity,and temperature,are key parameters for predicting and analyzing soft X-ray images from the LEXI and SMILE missions.We developed a userfriendly model of magnetosheath that parameterizes number density,velocity,temperature,and magnetic field by utilizing the global Magnetohydrodynamics(MHD)model as well as the pre-existing gas-dynamic and analytic models.Using this parameterized magnetosheath model,scientists can easily reconstruct expected soft X-ray images and utilize them for analysis of observed images of LEXI and SMILE without simulating the complicated global magnetosphere models.First,we created an MHD-based magnetosheath model by running a total of 14 OpenGGCM global MHD simulations under 7 solar wind densities(1,5,10,15,20,25,and 30 cm)and 2 interplanetary magnetic field Bz components(±4 nT),and then parameterizing the results in new magnetosheath conditions.We compared the magnetosheath model result with THEMIS statistical data and it showed good agreement with a weighted Pearson correlation coefficient greater than 0.77,especially for plasma density and plasma velocity.Second,we compiled a suite of magnetosheath models incorporating previous magnetosheath models(gas-dynamic,analytic),and did two case studies to test the performance.The MHD-based model was comparable to or better than the previous models while providing self-consistency among the magnetosheath parameters.Third,we constructed a tool to calculate a soft X-ray image from any given vantage point,which can support the planning and data analysis of the aforementioned LEXI and SMILE missions.A release of the code has been uploaded to a Github repository.

关 键 词：MAGNETOSHEATH PYTHON MODELING 

分 类 号：P353[天文地球—空间物理学]