Detecting thin cirrus in Multiangle Imaging Spectroradiometer aerosol retrievals

The core information for this publication's citation.: 
Pierce, J. R., R. Kahn, M. R. Davis, and J. M. Comstock (2010), Detecting thin cirrus in Multiangle Imaging Spectroradiometer aerosol retrievals, J. Geophys. Res., 115, D08201, doi:10.1029/2009JD013019.
Abstract: 

Thin cirrus clouds (optical depth (OD) < 0.3) are often undetected by standard cloud masking in satellite aerosol retrieval algorithms. However, the Multiangle Imaging Spectroradiometer (MISR) aerosol retrieval has the potential to discriminate between the scattering phase functions of cirrus and aerosols, thus separating these components. Theoretical tests show that MISR is sensitive to cirrus OD within Max{0.05, 20%}, similar to MISR’s sensitivity to aerosol OD, and MISR can distinguish between small and large crystals, even at low latitudes, where the range of scattering angles observed by MISR is smallest. Including just two cirrus components in the aerosol retrieval algorithm would capture typical MISR sensitivity to the natural range of cirrus properties; in situations where cirrus is present but the retrieval comparison space lacks these components, the retrieval tends to underestimate OD. Generally, MISR can also distinguish between cirrus and common aerosol types when the proper cirrus and aerosol optical models are included in the retrieval comparison space and total column OD is >∼0.2. However, in some cases, especially at low latitudes, cirrus can be mistaken for some combinations of dust and large nonabsorbing spherical aerosols, raising a caution about retrievals in dusty marine regions when cirrus is present. Comparisons of MISR with lidar and Aerosol Robotic Network show good agreement in a majority of the cases, but situations where cirrus clouds have optical depths >0.15 and are horizontally inhomogeneous on spatial scales shorter than ∼50 km pose difficulties for cirrus retrieval using the MISR standard aerosol algorithm.

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Research Program: 
Atmospheric Composition Modeling and Analysis Program (ACMAP)
Radiation Science Program (RSP)
Mission: 
EOS MISR