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An Accurate Estimate of Monthly Mean Land Surface Temperatures from MODIS Clear-Sky Retrievals
Chen, XL (Chen, Xuelong)1; Su, ZB (Su, Zhongbo)1; Ma, YM (Ma, Yaoming)2,3; Cleverly, J (Cleverly, James)4,5; Liddell, M (Liddell, Michael)6,7; Chen, XL
Source PublicationJOURNAL OF HYDROMETEOROLOGY
2017
Volume18Issue:10Pages:2827-2847
DOI10.1175/JHM-D-17-0009.1
AbstractMODIS thermal sensors can provide us with global land surface temperature (LST) several times each day, but have difficulty in obtaining information from the land surface in cloudy situations. As a result, the monthly day or night LST products [Terra monthly day LST (TMD), Terra monthly night LST (TMN), Aqua monthly day LST (AMD), and Aqua monthly night LST (AMN)] are the average LST values calculated over a variable number of clear-sky days in a month. Is it possible to derive an accurate estimate of monthly mean LST based on averaging of the multidaily overpasses of MODISsensors? In situ ground measurements and ERA-Interim reanalyses data, both of which provide continuous information in either clear or cloudy conditions, have been used to validate the approach. Using LST measurements from 156 ground flux towers, it was found that the three mean values LST((AMD,AMN) over bar), LST((TMD,TMN) over bar), and LST((AMD,AMN,TMD,TMN) over bar) (mean biases of 0.19, 0.59, and 0.40 K, respectively) can all provide a reliable estimate of all-sky monthly mean LST. Of the three means, we recommend the use of LST((AMD,AMN,TMD,TMN) over bar) for monthly mean LST in climate studies as it provides the most complete coverage. When retrievals from either Terra or Aqua are not available, then either LST((AMD,AMN) over bar) or LST((TMD,TMN) over bar) may be used to fill the gaps. The intrinsic error in the MODIS monthly mean LST cannot be explained from monthly mean view time, view angle, and clear-sky ratio. MODIS monthly LST calculated using this approach LST((AMD,AMN,TMD,TMN) over tilde) (RMSE52.65, mean bias, <+/- 1K) will have wide applicability for climate studies and numerical model evaluation.
Subject Area自然地理学
WOS IDWOS:000417352900012
Language英语
Indexed BySCI
KeywordPolar Orbiting Satellites Temperature/emissivity Products Diurnal Cycle United-states Validation Emissivity Interpolation Performance Meteorology Radiometer
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
Cooperation Status国际
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/7968
Collection图书馆
Corresponding AuthorChen, XL
Affiliation1.Univ Twente, Fac Geoinformat Sci & Earth Observat, Enschede, Netherlands.
2.Chinese Acad Sci, Key Lab Tibetan Environm Changes & Land Surface P, Inst Tibetan Plateau Res, Beijing, Peoples R China.
3.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China.
4.Univ Technol Sydney, TERN OzFlux Network, Broadway, NSW, Australia.
5.Univ Technol Sydney, Sch Life Sci, Broadway, NSW, Australia.
6.James Cook Univ, TERN SuperSite Network, Cairns, Qld, Australia.
7.James Cook Univ, Ctr Trop Environm & Sustainabil Sci, Cairns, Qld, Australia.
Recommended Citation
GB/T 7714
Chen, XL ,Su, ZB ,Ma, YM ,et al. An Accurate Estimate of Monthly Mean Land Surface Temperatures from MODIS Clear-Sky Retrievals[J]. JOURNAL OF HYDROMETEOROLOGY,2017,18(10):2827-2847.
APA Chen, XL ,Su, ZB ,Ma, YM ,Cleverly, J ,Liddell, M ,&Chen, XL.(2017).An Accurate Estimate of Monthly Mean Land Surface Temperatures from MODIS Clear-Sky Retrievals.JOURNAL OF HYDROMETEOROLOGY,18(10),2827-2847.
MLA Chen, XL ,et al."An Accurate Estimate of Monthly Mean Land Surface Temperatures from MODIS Clear-Sky Retrievals".JOURNAL OF HYDROMETEOROLOGY 18.10(2017):2827-2847.
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