Charles Constant, Santosh Bhattarai, Indigo Brownhall, Anasuya Aruliah, Marek Ziebart
{"title":"Near-Real Time Thermospheric Density Retrieval from Precise Low Earth Orbit Spacecraft Ephemerides During Geomagnetic Storms","authors":"Charles Constant, Santosh Bhattarai, Indigo Brownhall, Anasuya Aruliah, Marek Ziebart","doi":"arxiv-2408.16805","DOIUrl":null,"url":null,"abstract":"We present a methodology to generate low-latency, high spatio-temporal\nresolution thermospheric density estimates using publicly available Low Earth\nOrbit (LEO) spacecraft ephemerides. This provides a means of generating density\nestimates that can be used in a data-assimilative context by the satellite\noperations and thermosphere communities. It also contributes to the data base\nof high-resolution density estimates during geomagnetic storms -- which remains\none of the major gaps for the development and benchmarking of density models.\nUsing accelerometer-derived densities from the Gravity Recovery And Climate\nExperiment Follow-On (GRACE-FO) spacecraft as truth, our method surpasses\nEnergy Dissipation Rate-Type density retrieval techniques and three widely used\noperational density models in terms of accuracy: EDR (103.37%), JB2008\n(85.43%), DTM2000 (52.73%), and NRLMSISE-00 (12.31%). We demonstrate the\nrobustness of our methodology during a critical time for spacecraft operators\n-- attempting to operate in the presence of geomagnetic storms, by\nreconstructing density profiles along the orbits of three LEO satellites during\n80 geomagnetic storms. These profiles exhibit high spatial and temporal\nresolution compared to three operational thermospheric models, highlighting the\noperational applicability and potential for their use in model validation. Our\nfindings suggest that the increasing availability of precise orbit\ndetermination data offers a valuable, yet underutilized, resource that could\nprovide a significant improvement to data assimilative thermospheric models,\nultimately enhancing both spacecraft operations and thermospheric modeling\nefforts.","PeriodicalId":501423,"journal":{"name":"arXiv - PHYS - Space Physics","volume":"11 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Space Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.16805","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We present a methodology to generate low-latency, high spatio-temporal
resolution thermospheric density estimates using publicly available Low Earth
Orbit (LEO) spacecraft ephemerides. This provides a means of generating density
estimates that can be used in a data-assimilative context by the satellite
operations and thermosphere communities. It also contributes to the data base
of high-resolution density estimates during geomagnetic storms -- which remains
one of the major gaps for the development and benchmarking of density models.
Using accelerometer-derived densities from the Gravity Recovery And Climate
Experiment Follow-On (GRACE-FO) spacecraft as truth, our method surpasses
Energy Dissipation Rate-Type density retrieval techniques and three widely used
operational density models in terms of accuracy: EDR (103.37%), JB2008
(85.43%), DTM2000 (52.73%), and NRLMSISE-00 (12.31%). We demonstrate the
robustness of our methodology during a critical time for spacecraft operators
-- attempting to operate in the presence of geomagnetic storms, by
reconstructing density profiles along the orbits of three LEO satellites during
80 geomagnetic storms. These profiles exhibit high spatial and temporal
resolution compared to three operational thermospheric models, highlighting the
operational applicability and potential for their use in model validation. Our
findings suggest that the increasing availability of precise orbit
determination data offers a valuable, yet underutilized, resource that could
provide a significant improvement to data assimilative thermospheric models,
ultimately enhancing both spacecraft operations and thermospheric modeling
efforts.