Towards a Unified and Coherent Land Surface Temperature Earth System Data Record from Geostationary Satellites

dc.contributor.authorPinker, Rachel T.
dc.contributor.authorMa, Yingtao
dc.contributor.authorChen, Wen
dc.contributor.authorHulley, Glynn
dc.contributor.authorBorbas, Eva
dc.contributor.authorIslam, Tanvir
dc.contributor.authorHain, Chris
dc.contributor.authorCawse-Nicholson, Kerry
dc.contributor.authorHook, Simon
dc.contributor.authorBasara, Jeff
dc.date.accessioned2023-11-15T19:18:03Z
dc.date.available2023-11-15T19:18:03Z
dc.date.issued2019-06-12
dc.description.abstractOur objective is to develop a framework for deriving long term, consistent Land Surface Temperatures (LSTs) from Geostationary (GEO) satellites that is able to account for satellite sensor updates. Specifically, we use the Radiative Transfer for TOVS (RTTOV) model driven with Modern-Era Retrospective Analysis for Research and Applications (MERRA-2) information and Combined ASTER and MODIS Emissivity over Land (CAMEL) products. We discuss the results from our comparison of the Geostationary Operational Environmental Satellite East (GOES-E) with the MODIS Land Surface Temperature and Emissivity (MOD11) products, as well as several independent sources of ground observations, for daytime and nighttime independently. Based on a six-year record at instantaneous time scale (2004–2009), most LST estimates are within one std from the mean observed value and the bias is under 1% of the mean. It was also shown that at several ground sites, the diurnal cycle of LST, as averaged over six years, is consistent with a similar record generated from satellite observations. Since the evaluation of the GOES-E LST estimates occurred at every hour, day and night, the data are well suited to address outstanding issues related to the temporal variability of LST, specifically, the diurnal cycle and the amplitude of the diurnal cycle, which are not well represented in LST retrievals form Low Earth Orbit (LEO) satellites.
dc.description.urihttps://doi.org/10.3390/rs11121399
dc.identifierhttps://doi.org/10.13016/dspace/iv2b-eiyu
dc.identifier.citationPinker, R.T.; Ma, Y.; Chen, W.; Hulley, G.; Borbas, E.; Islam, T.; Hain, C.; Cawse-Nicholson, K.; Hook, S.; Basara, J. Towards a Unified and Coherent Land Surface Temperature Earth System Data Record from Geostationary Satellites. Remote Sens. 2019, 11, 1399.
dc.identifier.urihttp://hdl.handle.net/1903/31403
dc.language.isoen_US
dc.publisherMDPI
dc.relation.isAvailableAtCollege of Computer, Mathematical & Natural Sciencesen_us
dc.relation.isAvailableAtAtmospheric & Oceanic Scienceen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectLand Surface Temperature (LST)
dc.subjectsatellite retrievals of LST
dc.subjectLST from GEOS satellites
dc.titleTowards a Unified and Coherent Land Surface Temperature Earth System Data Record from Geostationary Satellites
dc.typeArticle
local.equitableAccessSubmissionNo

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