Global Distribution of Clouds over Six Years: A Review Using Multiple Sensors and Reanalysis Data

A six-year global study of cloud distribution and cloud properties obtained from observations of the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), the Atmospheric Infrared Sounder (AIRS), and the Modern-Era Retrospective analysis for Research and Applications, Version...

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Published in:Atmosphere
Main Author: Lerato Shikwambana
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:https://doi.org/10.3390/atmos13091514
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spelling ftmdpi:oai:mdpi.com:/2073-4433/13/9/1514/ 2023-08-20T04:02:21+02:00 Global Distribution of Clouds over Six Years: A Review Using Multiple Sensors and Reanalysis Data Lerato Shikwambana agris 2022-09-16 application/pdf https://doi.org/10.3390/atmos13091514 EN eng Multidisciplinary Digital Publishing Institute Meteorology https://dx.doi.org/10.3390/atmos13091514 https://creativecommons.org/licenses/by/4.0/ Atmosphere; Volume 13; Issue 9; Pages: 1514 clouds CALIPSO precipitation MERRA-2 ITCZ Text 2022 ftmdpi https://doi.org/10.3390/atmos13091514 2023-08-01T06:30:09Z A six-year global study of cloud distribution and cloud properties obtained from observations of the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), the Atmospheric Infrared Sounder (AIRS), and the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) data is presented in this study. From the CALIPSO observations, the highest clouds for both daytime and night-time were found in the Inter Tropical Convergence Zone (ITCZ) region. The lowest cloud heights were found towards the poles due to the decrease in the tropopause height. Seasonal studies also revealed a high dominance of clouds in the 70 °S–80 °S (Antarctic) region in the June–July–August (JJA) season and a high dominance of Arctic clouds in the December–January–February (DJF) and September–October–November (SON) seasons. The coldest cloud top temperatures (CTT) were mostly observed over land in the ITCZ and the polar regions, while the warmest CTTs were mostly observed in the mid-latitudes and over the oceans. Regions with CTTs greater than 0 °C experienced less precipitation than regions with CTTs less than 0 °C. Text Antarc* Antarctic Arctic MDPI Open Access Publishing Arctic Antarctic Merra ENVELOPE(12.615,12.615,65.816,65.816) Atmosphere 13 9 1514
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic clouds
CALIPSO
precipitation
MERRA-2
ITCZ
spellingShingle clouds
CALIPSO
precipitation
MERRA-2
ITCZ
Lerato Shikwambana
Global Distribution of Clouds over Six Years: A Review Using Multiple Sensors and Reanalysis Data
topic_facet clouds
CALIPSO
precipitation
MERRA-2
ITCZ
description A six-year global study of cloud distribution and cloud properties obtained from observations of the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), the Atmospheric Infrared Sounder (AIRS), and the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) data is presented in this study. From the CALIPSO observations, the highest clouds for both daytime and night-time were found in the Inter Tropical Convergence Zone (ITCZ) region. The lowest cloud heights were found towards the poles due to the decrease in the tropopause height. Seasonal studies also revealed a high dominance of clouds in the 70 °S–80 °S (Antarctic) region in the June–July–August (JJA) season and a high dominance of Arctic clouds in the December–January–February (DJF) and September–October–November (SON) seasons. The coldest cloud top temperatures (CTT) were mostly observed over land in the ITCZ and the polar regions, while the warmest CTTs were mostly observed in the mid-latitudes and over the oceans. Regions with CTTs greater than 0 °C experienced less precipitation than regions with CTTs less than 0 °C.
format Text
author Lerato Shikwambana
author_facet Lerato Shikwambana
author_sort Lerato Shikwambana
title Global Distribution of Clouds over Six Years: A Review Using Multiple Sensors and Reanalysis Data
title_short Global Distribution of Clouds over Six Years: A Review Using Multiple Sensors and Reanalysis Data
title_full Global Distribution of Clouds over Six Years: A Review Using Multiple Sensors and Reanalysis Data
title_fullStr Global Distribution of Clouds over Six Years: A Review Using Multiple Sensors and Reanalysis Data
title_full_unstemmed Global Distribution of Clouds over Six Years: A Review Using Multiple Sensors and Reanalysis Data
title_sort global distribution of clouds over six years: a review using multiple sensors and reanalysis data
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022
url https://doi.org/10.3390/atmos13091514
op_coverage agris
long_lat ENVELOPE(12.615,12.615,65.816,65.816)
geographic Arctic
Antarctic
Merra
geographic_facet Arctic
Antarctic
Merra
genre Antarc*
Antarctic
Arctic
genre_facet Antarc*
Antarctic
Arctic
op_source Atmosphere; Volume 13; Issue 9; Pages: 1514
op_relation Meteorology
https://dx.doi.org/10.3390/atmos13091514
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/atmos13091514
container_title Atmosphere
container_volume 13
container_issue 9
container_start_page 1514
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