Investigation of Antarctic Precipitable Water Vapor Variability and Trend from 18 Year (2001 to 2018) Data of Four Reanalyses Based on Radiosonde and GNSS Observations

Precipitable water vapor (PWV) plays a vital role in climate research, especially for Antarctica in which meteorological observations are insufficient due to the adverse climate and topography therein. Reanalysis data sets provide a great opportunity for Antarctic water vapor research. This study in...

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Published in:Remote Sensing
Main Authors: Zhixiang Mo, Zhaoliang Zeng, Liangke Huang, Lilong Liu, Ling Huang, Lv Zhou, Chao Ren, Hongchang He
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
PWV
Online Access:https://doi.org/10.3390/rs13193901
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spelling ftmdpi:oai:mdpi.com:/2072-4292/13/19/3901/ 2023-08-20T04:02:25+02:00 Investigation of Antarctic Precipitable Water Vapor Variability and Trend from 18 Year (2001 to 2018) Data of Four Reanalyses Based on Radiosonde and GNSS Observations Zhixiang Mo Zhaoliang Zeng Liangke Huang Lilong Liu Ling Huang Lv Zhou Chao Ren Hongchang He agris 2021-09-29 application/pdf https://doi.org/10.3390/rs13193901 EN eng Multidisciplinary Digital Publishing Institute Atmospheric Remote Sensing https://dx.doi.org/10.3390/rs13193901 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 19; Pages: 3901 PWV reanalyses GNSS radiosonde Antarctica Text 2021 ftmdpi https://doi.org/10.3390/rs13193901 2023-08-01T02:50:09Z Precipitable water vapor (PWV) plays a vital role in climate research, especially for Antarctica in which meteorological observations are insufficient due to the adverse climate and topography therein. Reanalysis data sets provide a great opportunity for Antarctic water vapor research. This study investigates the climatological PWV means, variability and trends over Antarctica from four reanalyses, including the fifth generation of European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis (ERA5), the Second Modern-Era Retrospective analysis for Research and Applications (MERRA-2), Japanese 55-year Reanalysis (JRA-55) and National Centers for Environmental Prediction/Department of Energy (NCEP/DOE), in the period of 2001–2018 based on radiosonde and GNSS observations. PWV data from the ERA5, MERRA-2, JRA-55 and NCEP/DOE have been evaluated by radiosonde and GNSS observations, showing that ERA5 and MERRA-2 perform better than JRA-55 and NCEP/DOE with mean root mean square (RMS) errors below 1.2 mm. The climatological PWV mean distribution over Antarctica roughly shows a decreasing trend from west to east, with the highest content in summer and the lowest content in winter. The PWV variability is generally small over Antarctica, showing a seasonal dependence that is larger in the cold season and smaller in the warm season. PWV trends for all reanalyses at most Antarctic regions are insignificant and most reanalyses present overall drying trends from 2001 to 2018, except for ERA5 exhibiting a moistening trend. PWV trends also show seasonal and regional dependence. All reanalyses are generally consistent with radiosonde and GNSS observations in reproducing the PWV means (mean differences within 1.1 mm), variability (mean differences within 3%) and trends (mean differences within 6.4% decade−1) over Antarctica, except for NCEP/DOE showing spurious variability and trends in East Antarctica. Results can help us further understand these four reanalysis PWV products and promote climate research in Antarctica. Text Antarc* Antarctic Antarctica East Antarctica MDPI Open Access Publishing Antarctic East Antarctica Merra ENVELOPE(12.615,12.615,65.816,65.816) Remote Sensing 13 19 3901
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic PWV
reanalyses
GNSS
radiosonde
Antarctica
spellingShingle PWV
reanalyses
GNSS
radiosonde
Antarctica
Zhixiang Mo
Zhaoliang Zeng
Liangke Huang
Lilong Liu
Ling Huang
Lv Zhou
Chao Ren
Hongchang He
Investigation of Antarctic Precipitable Water Vapor Variability and Trend from 18 Year (2001 to 2018) Data of Four Reanalyses Based on Radiosonde and GNSS Observations
topic_facet PWV
reanalyses
GNSS
radiosonde
Antarctica
description Precipitable water vapor (PWV) plays a vital role in climate research, especially for Antarctica in which meteorological observations are insufficient due to the adverse climate and topography therein. Reanalysis data sets provide a great opportunity for Antarctic water vapor research. This study investigates the climatological PWV means, variability and trends over Antarctica from four reanalyses, including the fifth generation of European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis (ERA5), the Second Modern-Era Retrospective analysis for Research and Applications (MERRA-2), Japanese 55-year Reanalysis (JRA-55) and National Centers for Environmental Prediction/Department of Energy (NCEP/DOE), in the period of 2001–2018 based on radiosonde and GNSS observations. PWV data from the ERA5, MERRA-2, JRA-55 and NCEP/DOE have been evaluated by radiosonde and GNSS observations, showing that ERA5 and MERRA-2 perform better than JRA-55 and NCEP/DOE with mean root mean square (RMS) errors below 1.2 mm. The climatological PWV mean distribution over Antarctica roughly shows a decreasing trend from west to east, with the highest content in summer and the lowest content in winter. The PWV variability is generally small over Antarctica, showing a seasonal dependence that is larger in the cold season and smaller in the warm season. PWV trends for all reanalyses at most Antarctic regions are insignificant and most reanalyses present overall drying trends from 2001 to 2018, except for ERA5 exhibiting a moistening trend. PWV trends also show seasonal and regional dependence. All reanalyses are generally consistent with radiosonde and GNSS observations in reproducing the PWV means (mean differences within 1.1 mm), variability (mean differences within 3%) and trends (mean differences within 6.4% decade−1) over Antarctica, except for NCEP/DOE showing spurious variability and trends in East Antarctica. Results can help us further understand these four reanalysis PWV products and promote climate research in Antarctica.
format Text
author Zhixiang Mo
Zhaoliang Zeng
Liangke Huang
Lilong Liu
Ling Huang
Lv Zhou
Chao Ren
Hongchang He
author_facet Zhixiang Mo
Zhaoliang Zeng
Liangke Huang
Lilong Liu
Ling Huang
Lv Zhou
Chao Ren
Hongchang He
author_sort Zhixiang Mo
title Investigation of Antarctic Precipitable Water Vapor Variability and Trend from 18 Year (2001 to 2018) Data of Four Reanalyses Based on Radiosonde and GNSS Observations
title_short Investigation of Antarctic Precipitable Water Vapor Variability and Trend from 18 Year (2001 to 2018) Data of Four Reanalyses Based on Radiosonde and GNSS Observations
title_full Investigation of Antarctic Precipitable Water Vapor Variability and Trend from 18 Year (2001 to 2018) Data of Four Reanalyses Based on Radiosonde and GNSS Observations
title_fullStr Investigation of Antarctic Precipitable Water Vapor Variability and Trend from 18 Year (2001 to 2018) Data of Four Reanalyses Based on Radiosonde and GNSS Observations
title_full_unstemmed Investigation of Antarctic Precipitable Water Vapor Variability and Trend from 18 Year (2001 to 2018) Data of Four Reanalyses Based on Radiosonde and GNSS Observations
title_sort investigation of antarctic precipitable water vapor variability and trend from 18 year (2001 to 2018) data of four reanalyses based on radiosonde and gnss observations
publisher Multidisciplinary Digital Publishing Institute
publishDate 2021
url https://doi.org/10.3390/rs13193901
op_coverage agris
long_lat ENVELOPE(12.615,12.615,65.816,65.816)
geographic Antarctic
East Antarctica
Merra
geographic_facet Antarctic
East Antarctica
Merra
genre Antarc*
Antarctic
Antarctica
East Antarctica
genre_facet Antarc*
Antarctic
Antarctica
East Antarctica
op_source Remote Sensing; Volume 13; Issue 19; Pages: 3901
op_relation Atmospheric Remote Sensing
https://dx.doi.org/10.3390/rs13193901
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs13193901
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container_issue 19
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