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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2022
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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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1774712771340926976 |