Water Vapour Assessment Using GNSS and Radiosondes over Polar Regions and Estimation of Climatological Trends from Long-Term Time Series Analysis
The atmospheric humidity in the Polar Regions is an important factor for the global budget of water vapour, which is a significant indicator of Earth’s climate state and evolution. The Global Navigation Satellite System (GNSS) can make a valuable contribution in the calculation of the amount of Prec...
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Online Access: | http://hdl.handle.net/2122/15375 https://doi.org/10.3390/rs13234871 |
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ftingv:oai:www.earth-prints.org:2122/15375 2023-05-15T14:01:37+02:00 Water Vapour Assessment Using GNSS and Radiosondes over Polar Regions and Estimation of Climatological Trends from Long-Term Time Series Analysis Negusini, Monia Petkov, Boyan H Tornatore, Vincenza Barindelli, Stefano Martelli, Leonardo Sarti, Pierguido Tomasi, Claudio #PLACEHOLDER_PARENT_METADATA_VALUE# Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia 2021 http://hdl.handle.net/2122/15375 https://doi.org/10.3390/rs13234871 en eng MDPI Remote Sensing /13 (2021) 2072-4292 http://hdl.handle.net/2122/15375 doi:10.3390/rs13234871 open article 2021 ftingv https://doi.org/10.3390/rs13234871 2022-07-29T06:08:43Z The atmospheric humidity in the Polar Regions is an important factor for the global budget of water vapour, which is a significant indicator of Earth’s climate state and evolution. The Global Navigation Satellite System (GNSS) can make a valuable contribution in the calculation of the amount of Precipitable Water Vapour (PW). The PW values retrieved from Global Positioning System (GPS), hereafter PWGPS, refer to 20-year observations acquired by more than 40 GNSS geodetic stations located in the polar regions. For GNSS stations co-located with radio-sounding stations (RS), which operate Vaisala radiosondes, we estimated the PW from RS observations (PWRS). The PW values from the ERA-Interim global atmospheric reanalysis were used for validation and comparison of the results for all the selected GPS and RS stations. The correlation coefficients between times series are very high: 0.96 for RS and GPS, 0.98 for RS and ERA in the Arctic; 0.89 for RS and GPS, 0.97 for RS and ERA in Antarctica. The Root-Mean-Square of the Error (RMSE) is 0.9 mm on average for both RS vs. GPS and RS vs. ERA in the Arctic, and 0.6 mm for RS vs. GPS and 0.4 mm for RS vs. ERA in Antarctica. After validation, long-term trends, both for Arctic and Antarctic regions, were estimated using Hector scientific software. Positive PWGPS trends dominate at Arctic sites near the borders of the Atlantic Ocean. Sites located at higher latitudes show no significant values (at 1σ level). Negative PWGPS trends were observed in the Arctic region of Greenland and North America. A similar behaviour was found in the Arctic for PWRS trends. The stations in the West Antarctic sector show a general positive PWGPS trend, while the sites on the coastal area of East Antarctica exhibit some significant negative PWGPS trends, but in most cases, no significant PWRS trends were found. The present work confirms that GPS is able to provide reliable estimates of water vapour content in Arctic and Antarctic regions too, where data are sparse and not easy to collect. These ... Article in Journal/Newspaper Antarc* Antarctic Antarctica Arctic East Antarctica Greenland Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia) Antarctic Arctic East Antarctica Greenland Hector ENVELOPE(-63.376,-63.376,-64.579,-64.579) Remote Sensing 13 23 4871 |
institution |
Open Polar |
collection |
Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia) |
op_collection_id |
ftingv |
language |
English |
description |
The atmospheric humidity in the Polar Regions is an important factor for the global budget of water vapour, which is a significant indicator of Earth’s climate state and evolution. The Global Navigation Satellite System (GNSS) can make a valuable contribution in the calculation of the amount of Precipitable Water Vapour (PW). The PW values retrieved from Global Positioning System (GPS), hereafter PWGPS, refer to 20-year observations acquired by more than 40 GNSS geodetic stations located in the polar regions. For GNSS stations co-located with radio-sounding stations (RS), which operate Vaisala radiosondes, we estimated the PW from RS observations (PWRS). The PW values from the ERA-Interim global atmospheric reanalysis were used for validation and comparison of the results for all the selected GPS and RS stations. The correlation coefficients between times series are very high: 0.96 for RS and GPS, 0.98 for RS and ERA in the Arctic; 0.89 for RS and GPS, 0.97 for RS and ERA in Antarctica. The Root-Mean-Square of the Error (RMSE) is 0.9 mm on average for both RS vs. GPS and RS vs. ERA in the Arctic, and 0.6 mm for RS vs. GPS and 0.4 mm for RS vs. ERA in Antarctica. After validation, long-term trends, both for Arctic and Antarctic regions, were estimated using Hector scientific software. Positive PWGPS trends dominate at Arctic sites near the borders of the Atlantic Ocean. Sites located at higher latitudes show no significant values (at 1σ level). Negative PWGPS trends were observed in the Arctic region of Greenland and North America. A similar behaviour was found in the Arctic for PWRS trends. The stations in the West Antarctic sector show a general positive PWGPS trend, while the sites on the coastal area of East Antarctica exhibit some significant negative PWGPS trends, but in most cases, no significant PWRS trends were found. The present work confirms that GPS is able to provide reliable estimates of water vapour content in Arctic and Antarctic regions too, where data are sparse and not easy to collect. These ... |
author2 |
#PLACEHOLDER_PARENT_METADATA_VALUE# Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia |
format |
Article in Journal/Newspaper |
author |
Negusini, Monia Petkov, Boyan H Tornatore, Vincenza Barindelli, Stefano Martelli, Leonardo Sarti, Pierguido Tomasi, Claudio |
spellingShingle |
Negusini, Monia Petkov, Boyan H Tornatore, Vincenza Barindelli, Stefano Martelli, Leonardo Sarti, Pierguido Tomasi, Claudio Water Vapour Assessment Using GNSS and Radiosondes over Polar Regions and Estimation of Climatological Trends from Long-Term Time Series Analysis |
author_facet |
Negusini, Monia Petkov, Boyan H Tornatore, Vincenza Barindelli, Stefano Martelli, Leonardo Sarti, Pierguido Tomasi, Claudio |
author_sort |
Negusini, Monia |
title |
Water Vapour Assessment Using GNSS and Radiosondes over Polar Regions and Estimation of Climatological Trends from Long-Term Time Series Analysis |
title_short |
Water Vapour Assessment Using GNSS and Radiosondes over Polar Regions and Estimation of Climatological Trends from Long-Term Time Series Analysis |
title_full |
Water Vapour Assessment Using GNSS and Radiosondes over Polar Regions and Estimation of Climatological Trends from Long-Term Time Series Analysis |
title_fullStr |
Water Vapour Assessment Using GNSS and Radiosondes over Polar Regions and Estimation of Climatological Trends from Long-Term Time Series Analysis |
title_full_unstemmed |
Water Vapour Assessment Using GNSS and Radiosondes over Polar Regions and Estimation of Climatological Trends from Long-Term Time Series Analysis |
title_sort |
water vapour assessment using gnss and radiosondes over polar regions and estimation of climatological trends from long-term time series analysis |
publisher |
MDPI |
publishDate |
2021 |
url |
http://hdl.handle.net/2122/15375 https://doi.org/10.3390/rs13234871 |
long_lat |
ENVELOPE(-63.376,-63.376,-64.579,-64.579) |
geographic |
Antarctic Arctic East Antarctica Greenland Hector |
geographic_facet |
Antarctic Arctic East Antarctica Greenland Hector |
genre |
Antarc* Antarctic Antarctica Arctic East Antarctica Greenland |
genre_facet |
Antarc* Antarctic Antarctica Arctic East Antarctica Greenland |
op_relation |
Remote Sensing /13 (2021) 2072-4292 http://hdl.handle.net/2122/15375 doi:10.3390/rs13234871 |
op_rights |
open |
op_doi |
https://doi.org/10.3390/rs13234871 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
23 |
container_start_page |
4871 |
_version_ |
1766271582545641472 |