Physics
Scientific paper
Sep 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009georl..3617604m&link_type=abstract
Geophysical Research Letters, Volume 36, Issue 17, CiteID L17604
Physics
2
Oceanography: General: Remote Sensing And Electromagnetic Processes (0689, 2487, 3285, 4455, 6934), Oceanography: General: Ocean Data Assimilation And Reanalysis (3225), Oceanography: General: Ocean Observing Systems
Scientific paper
Criteria are proposed for evaluating sea surface temperature (SST) retrieved from satellite infra-red imagery: bias should be small on regional scales; sensitivity to atmospheric humidity should be small; and sensitivity of retrieved SST to surface temperature should be close to 1 K K-1. Their application is illustrated for non-linear sea surface temperature (NLSST) estimates. 233929 observations from the Advanced Very High Resolution Radiometer (AVHRR) on Metop-A are matched with in situ data and numerical weather prediction (NWP) fields. NLSST coefficients derived from these matches have regional biases from -0.5 to +0.3 K. Using radiative transfer modelling we find that a 10% increase in humidity alone can change the retrieved NLSST by between -0.5 K and +0.1 K. A 1 K increase in SST changes NLSST by <0.5 K in extreme cases. The validity of estimates of sensitivity by radiative transfer modelling is confirmed empirically.
Harris Robert A.
Le Borgne P.
Merchant C. J.
Roquet Hervé
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