Cargando…
Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans
Moderate Resolution Imaging Spectroradiometer (MODIS) retrieves cloud droplet effective radius (r (e)) and optical thickness (τ) by projecting observed cloud reflectances onto a precomputed look‐up table (LUT). When observations fall outside of the LUT, the retrieval is considered “failed” because n...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5012132/ https://www.ncbi.nlm.nih.gov/pubmed/27656330 http://dx.doi.org/10.1002/2015JD023161 |
_version_ | 1782451962103463936 |
---|---|
author | Cho, Hyoun‐Myoung Zhang, Zhibo Meyer, Kerry Lebsock, Matthew Platnick, Steven Ackerman, Andrew S. Di Girolamo, Larry C.‐Labonnote, Laurent Cornet, Céline Riedi, Jerome Holz, Robert E. |
author_facet | Cho, Hyoun‐Myoung Zhang, Zhibo Meyer, Kerry Lebsock, Matthew Platnick, Steven Ackerman, Andrew S. Di Girolamo, Larry C.‐Labonnote, Laurent Cornet, Céline Riedi, Jerome Holz, Robert E. |
author_sort | Cho, Hyoun‐Myoung |
collection | PubMed |
description | Moderate Resolution Imaging Spectroradiometer (MODIS) retrieves cloud droplet effective radius (r (e)) and optical thickness (τ) by projecting observed cloud reflectances onto a precomputed look‐up table (LUT). When observations fall outside of the LUT, the retrieval is considered “failed” because no combination of τ and r (e) within the LUT can explain the observed cloud reflectances. In this study, the frequency and potential causes of failed MODIS retrievals for marine liquid phase (MLP) clouds are analyzed based on 1 year of Aqua MODIS Collection 6 products and collocated CALIOP and CloudSat observations. The retrieval based on the 0.86 µm and 2.1 µm MODIS channel combination has an overall failure rate of about 16% (10% for the 0.86 µm and 3.7 µm combination). The failure rates are lower over stratocumulus regimes and higher over the broken trade wind cumulus regimes. The leading type of failure is the “r (e) too large” failure accounting for 60%–85% of all failed retrievals. The rest is mostly due to the “r (e) too small” or τ retrieval failures. Enhanced retrieval failure rates are found when MLP cloud pixels are partially cloudy or have high subpixel inhomogeneity, are located at special Sun‐satellite viewing geometries such as sunglint, large viewing or solar zenith angles, or cloudbow and glory angles, or are subject to cloud masking, cloud overlapping, and/or cloud phase retrieval issues. The majority (more than 84%) of failed retrievals along the CALIPSO track can be attributed to at least one or more of these potential reasons. The collocated CloudSat radar reflectivity observations reveal that the remaining failed retrievals are often precipitating. It remains an open question whether the extremely large r (e) values observed in these clouds are the consequence of true cloud microphysics or still due to artifacts not included in this study. |
format | Online Article Text |
id | pubmed-5012132 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-50121322016-09-19 Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans Cho, Hyoun‐Myoung Zhang, Zhibo Meyer, Kerry Lebsock, Matthew Platnick, Steven Ackerman, Andrew S. Di Girolamo, Larry C.‐Labonnote, Laurent Cornet, Céline Riedi, Jerome Holz, Robert E. J Geophys Res Atmos Research Articles Moderate Resolution Imaging Spectroradiometer (MODIS) retrieves cloud droplet effective radius (r (e)) and optical thickness (τ) by projecting observed cloud reflectances onto a precomputed look‐up table (LUT). When observations fall outside of the LUT, the retrieval is considered “failed” because no combination of τ and r (e) within the LUT can explain the observed cloud reflectances. In this study, the frequency and potential causes of failed MODIS retrievals for marine liquid phase (MLP) clouds are analyzed based on 1 year of Aqua MODIS Collection 6 products and collocated CALIOP and CloudSat observations. The retrieval based on the 0.86 µm and 2.1 µm MODIS channel combination has an overall failure rate of about 16% (10% for the 0.86 µm and 3.7 µm combination). The failure rates are lower over stratocumulus regimes and higher over the broken trade wind cumulus regimes. The leading type of failure is the “r (e) too large” failure accounting for 60%–85% of all failed retrievals. The rest is mostly due to the “r (e) too small” or τ retrieval failures. Enhanced retrieval failure rates are found when MLP cloud pixels are partially cloudy or have high subpixel inhomogeneity, are located at special Sun‐satellite viewing geometries such as sunglint, large viewing or solar zenith angles, or cloudbow and glory angles, or are subject to cloud masking, cloud overlapping, and/or cloud phase retrieval issues. The majority (more than 84%) of failed retrievals along the CALIPSO track can be attributed to at least one or more of these potential reasons. The collocated CloudSat radar reflectivity observations reveal that the remaining failed retrievals are often precipitating. It remains an open question whether the extremely large r (e) values observed in these clouds are the consequence of true cloud microphysics or still due to artifacts not included in this study. John Wiley and Sons Inc. 2015-05-09 2015-05-16 /pmc/articles/PMC5012132/ /pubmed/27656330 http://dx.doi.org/10.1002/2015JD023161 Text en ©2015. The Authors. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Cho, Hyoun‐Myoung Zhang, Zhibo Meyer, Kerry Lebsock, Matthew Platnick, Steven Ackerman, Andrew S. Di Girolamo, Larry C.‐Labonnote, Laurent Cornet, Céline Riedi, Jerome Holz, Robert E. Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans |
title | Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans |
title_full | Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans |
title_fullStr | Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans |
title_full_unstemmed | Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans |
title_short | Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans |
title_sort | frequency and causes of failed modis cloud property retrievals for liquid phase clouds over global oceans |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5012132/ https://www.ncbi.nlm.nih.gov/pubmed/27656330 http://dx.doi.org/10.1002/2015JD023161 |
work_keys_str_mv | AT chohyounmyoung frequencyandcausesoffailedmodiscloudpropertyretrievalsforliquidphasecloudsoverglobaloceans AT zhangzhibo frequencyandcausesoffailedmodiscloudpropertyretrievalsforliquidphasecloudsoverglobaloceans AT meyerkerry frequencyandcausesoffailedmodiscloudpropertyretrievalsforliquidphasecloudsoverglobaloceans AT lebsockmatthew frequencyandcausesoffailedmodiscloudpropertyretrievalsforliquidphasecloudsoverglobaloceans AT platnicksteven frequencyandcausesoffailedmodiscloudpropertyretrievalsforliquidphasecloudsoverglobaloceans AT ackermanandrews frequencyandcausesoffailedmodiscloudpropertyretrievalsforliquidphasecloudsoverglobaloceans AT digirolamolarry frequencyandcausesoffailedmodiscloudpropertyretrievalsforliquidphasecloudsoverglobaloceans AT clabonnotelaurent frequencyandcausesoffailedmodiscloudpropertyretrievalsforliquidphasecloudsoverglobaloceans AT cornetceline frequencyandcausesoffailedmodiscloudpropertyretrievalsforliquidphasecloudsoverglobaloceans AT riedijerome frequencyandcausesoffailedmodiscloudpropertyretrievalsforliquidphasecloudsoverglobaloceans AT holzroberte frequencyandcausesoffailedmodiscloudpropertyretrievalsforliquidphasecloudsoverglobaloceans |