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Article: An efficient hybrid method for estimating clear-sky surface downward longwave radiation from MODIS data

TitleAn efficient hybrid method for estimating clear-sky surface downward longwave radiation from MODIS data
Authors
Issue Date2017
Citation
Journal of Geophysical Research, 2017, v. 122, n. 5, p. 2616-2630 How to Cite?
AbstractThis paper proposes an efficient hybrid method for estimating 1 km instantaneous clear-sky surface downward longwave radiation (LWDN) from Moderate Resolution Imaging Spectroradiometer (MODIS) thermal infrared observations and the MODIS near-infrared column water vapor (CWV) data product. The LWDN was formulated as a nonlinear function of surface upwelling longwave radiation estimated from the MODIS top-of-atmosphere (TOA) radiance of channels 29, 31, and 32, as well as CWV and the MODIS TOA radiance of channel 29. Ground measurements collected at 62 globally distributed sites from six networks were used to develop and validate the proposed hybrid method. The validation results showed that the bias and root-mean-square error (RMSE) were 0.0597 W/m2 and 21.008 W/m2. These results demonstrate that the performance of our method is superior to that of other studies reported in the literature. The drawback of our method is that LWDN is overestimated over high-elevation areas with extremely low CWV (<0.5 g/cm2) and underestimated over regions with tropical climates that have extremely high CWV. A power function relating LWDN to CWV was derived and used as a complementary method to address these circumstances. The overestimation was overcome, and the bias and RMSE decreased from 9.407 W/m2 and 23.919W/m2 to -0.924 W/m2 and 19.895 W/m2. The underestimation was also alleviated.
Persistent Identifierhttp://hdl.handle.net/10722/321718
ISSN
2015 Impact Factor: 3.318
2020 SCImago Journal Rankings: 1.670

 

DC FieldValueLanguage
dc.contributor.authorCheng, Jie-
dc.contributor.authorLiang, Shunlin-
dc.contributor.authorWang, Wenhui-
dc.contributor.authorGuo, Yamin-
dc.date.accessioned2022-11-03T02:20:59Z-
dc.date.available2022-11-03T02:20:59Z-
dc.date.issued2017-
dc.identifier.citationJournal of Geophysical Research, 2017, v. 122, n. 5, p. 2616-2630-
dc.identifier.issn0148-0227-
dc.identifier.urihttp://hdl.handle.net/10722/321718-
dc.description.abstractThis paper proposes an efficient hybrid method for estimating 1 km instantaneous clear-sky surface downward longwave radiation (LWDN) from Moderate Resolution Imaging Spectroradiometer (MODIS) thermal infrared observations and the MODIS near-infrared column water vapor (CWV) data product. The LWDN was formulated as a nonlinear function of surface upwelling longwave radiation estimated from the MODIS top-of-atmosphere (TOA) radiance of channels 29, 31, and 32, as well as CWV and the MODIS TOA radiance of channel 29. Ground measurements collected at 62 globally distributed sites from six networks were used to develop and validate the proposed hybrid method. The validation results showed that the bias and root-mean-square error (RMSE) were 0.0597 W/m2 and 21.008 W/m2. These results demonstrate that the performance of our method is superior to that of other studies reported in the literature. The drawback of our method is that LWDN is overestimated over high-elevation areas with extremely low CWV (<0.5 g/cm2) and underestimated over regions with tropical climates that have extremely high CWV. A power function relating LWDN to CWV was derived and used as a complementary method to address these circumstances. The overestimation was overcome, and the bias and RMSE decreased from 9.407 W/m2 and 23.919W/m2 to -0.924 W/m2 and 19.895 W/m2. The underestimation was also alleviated.-
dc.languageeng-
dc.relation.ispartofJournal of Geophysical Research-
dc.titleAn efficient hybrid method for estimating clear-sky surface downward longwave radiation from MODIS data-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/2016JD026250-
dc.identifier.scopuseid_2-s2.0-85014070155-
dc.identifier.volume122-
dc.identifier.issue5-
dc.identifier.spage2616-
dc.identifier.epage2630-
dc.identifier.eissn2156-2202-

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