Open AccessEvaluation of MODIS and Himawari‐8 Low Clouds Retrievals Over the Southern Ocean With In Situ Measurements From the SOCRATES Campaign
Author(s) -
Kang Litai,
Marchand Roger,
Smith William
Publication year - 2021
Publication title -
earth and space science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.843
H-Index - 23
ISSN - 2333-5084
DOI - 10.1029/2020ea001397
Subject(s) - environmental science , effective radius , satellite , moderate resolution imaging spectroradiometer , cloud top , meteorology , precipitation , atmospheric sciences , daytime , aerosol , spectroradiometer , remote sensing , cloud albedo , cloud cover , cloud computing , geology , physics , reflectivity , optics , computer science , astronomy , operating system , quantum mechanics , galaxy
Aircraft observations collected during the Southern Ocean Cloud Radiation Aerosol Transport Experimental Study in January‐February of 2018 are used to evaluate cloud properties from three satellite‐imager datasets: (1) the Moderate Resolution Imaging Spectroradiometer level 2 (collection 6.1) cloud product, (2) the CERES‐MODIS Edition 4 cloud product, and (3) the NASA SatCORPS Himawari‐8 cloud product. Overall the satellite retrievals compare well with the in situ observations, with little bias and modest to good correlation coefficients when considering all aircraft profiles for which there are coincident MODIS observations. The Himawari‐8 product does, however, show a statistically significant mean bias of about 1.2 μm for effective radius ( r e ) and 2.6 for optical depth ( τ ) when applied to a larger set of profiles with coincident Himawari‐8 observations. The low overall mean‐bias in the r e retrievals is due in part to compensating errors between cases that are non‐ or lightly precipitating, with cases that have heavier precipitation. r e is slightly biased high (by about 0.5–1.0 μm) for non‐ and lightly precipitating cases and biased low by about 3–4 μm for heavily precipitating cases when precipitation exits near cloud top. The bias in non‐ and lightly precipitating conditions is due to (at least in part) having assumed a drop size distribution in the retrieval that is too broad. These biases in the r e ultimately propagate into the retrieved liquid water path and number concentration.