File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: A method for estimating clear-sky instantaneous land-surface longwave radiation with GOES sounder and GOES-R ABI data

TitleA method for estimating clear-sky instantaneous land-surface longwave radiation with GOES sounder and GOES-R ABI data
Authors
KeywordsGeostationary Operational Environmental Satellite (GOES)-R Advanced Baseline Imager (ABI)
GOES Sounder
land
longwave radiation
remote sensing
Surface Radiation Budget (SRB)
Issue Date2010
Citation
IEEE Geoscience and Remote Sensing Letters, 2010, v. 7, n. 4, p. 708-712 How to Cite?
AbstractThis letter presents new models for estimating clear-sky instantaneous longwave radiation over land surfaces using the Geostationary Operational Environmental Satellites (GOES) Sounders and GOES-R Advanced Baseline Imager (ABI) thermal infrared top-of-atmosphere (TOA) radiances. The method used in this study shares the same hybrid method framework designed for Moderate Resolution Imaging Spectroradiometer. We propose separate surface downward longwave radiation (LWDN) and upwelling longwave radiation (LWUP) models because the two components are dominated by different surface/atmospheric properties. A nonlinear model was developed to estimate LWDN, and a linear model was developed to estimate LWUP. The GOES-12 Sounder-derived LWDN, LWUP, and surface net longwave radiation (LWNT = LWUP-LWDN) were evaluated using one full-year of ground data from the Surface Radiation Budget Network. The root-mean-squared errors (rmses) are less than 22.03 W/m2 at all four sites. Our study indicates that the hybrid method can also be applied to estimate LWUP using the future GOES-R ABI TOA radiances. The lack of a channel beyond 13.3 μm in the proposed ABI design may cause larger rmses when estimating LWDN. © 2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/321422
ISSN
2023 Impact Factor: 4.0
2023 SCImago Journal Rankings: 1.248
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, Wenhui-
dc.contributor.authorLiang, Shunlin-
dc.date.accessioned2022-11-03T02:18:49Z-
dc.date.available2022-11-03T02:18:49Z-
dc.date.issued2010-
dc.identifier.citationIEEE Geoscience and Remote Sensing Letters, 2010, v. 7, n. 4, p. 708-712-
dc.identifier.issn1545-598X-
dc.identifier.urihttp://hdl.handle.net/10722/321422-
dc.description.abstractThis letter presents new models for estimating clear-sky instantaneous longwave radiation over land surfaces using the Geostationary Operational Environmental Satellites (GOES) Sounders and GOES-R Advanced Baseline Imager (ABI) thermal infrared top-of-atmosphere (TOA) radiances. The method used in this study shares the same hybrid method framework designed for Moderate Resolution Imaging Spectroradiometer. We propose separate surface downward longwave radiation (LWDN) and upwelling longwave radiation (LWUP) models because the two components are dominated by different surface/atmospheric properties. A nonlinear model was developed to estimate LWDN, and a linear model was developed to estimate LWUP. The GOES-12 Sounder-derived LWDN, LWUP, and surface net longwave radiation (LWNT = LWUP-LWDN) were evaluated using one full-year of ground data from the Surface Radiation Budget Network. The root-mean-squared errors (rmses) are less than 22.03 W/m2 at all four sites. Our study indicates that the hybrid method can also be applied to estimate LWUP using the future GOES-R ABI TOA radiances. The lack of a channel beyond 13.3 μm in the proposed ABI design may cause larger rmses when estimating LWDN. © 2006 IEEE.-
dc.languageeng-
dc.relation.ispartofIEEE Geoscience and Remote Sensing Letters-
dc.subjectGeostationary Operational Environmental Satellite (GOES)-R Advanced Baseline Imager (ABI)-
dc.subjectGOES Sounder-
dc.subjectland-
dc.subjectlongwave radiation-
dc.subjectremote sensing-
dc.subjectSurface Radiation Budget (SRB)-
dc.titleA method for estimating clear-sky instantaneous land-surface longwave radiation with GOES sounder and GOES-R ABI data-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/LGRS.2010.2046472-
dc.identifier.scopuseid_2-s2.0-77958008412-
dc.identifier.volume7-
dc.identifier.issue4-
dc.identifier.spage708-
dc.identifier.epage712-
dc.identifier.isiWOS:000283446700019-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats