Articles | Volume 20, issue 8
Hydrol. Earth Syst. Sci., 20, 3263–3275, 2016
https://doi.org/10.5194/hess-20-3263-2016
Hydrol. Earth Syst. Sci., 20, 3263–3275, 2016
https://doi.org/10.5194/hess-20-3263-2016

Research article 11 Aug 2016

Research article | 11 Aug 2016

Cloud tolerance of remote-sensing technologies to measure land surface temperature

Thomas R. H. Holmes et al.

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Interactive discussion

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (27 Jun 2016) by Alexander Loew
AR by Thomas Holmes on behalf of the Authors (01 Jul 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (12 Jul 2016) by Alexander Loew
RR by Anonymous Referee #2 (12 Jul 2016)
ED: Publish as is (21 Jul 2016) by Alexander Loew
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Short summary
We test the cloud tolerance of two technologies to estimate land surface temperature (LST) from space: microwave (MW) and thermal infrared (TIR). Although TIR has slightly lower errors than MW with ground data under clear-sky conditions, it suffers increasing negative bias as cloud cover increases. In contrast, we find no direct impact of clouds on the accuracy and bias of MW-LST. MW-LST can therefore be used to improve TIR cloud screening and increase sampling in clouded regions.