Deliverable 2.12 Observational gaps revealed by model sensitivity to observations
To understand the quality of the existing observing system in the Arctic to capture important elements of change over the Arctic we performed a gap analysis with respect to the Arctic Ocean, the Arctic atmosphere and the high-latitude carbon-monitoring network. The main points of the findings are: 1...
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ftzenodo:oai:zenodo.org:7051084 2024-09-15T17:53:27+00:00 Deliverable 2.12 Observational gaps revealed by model sensitivity to observations Stammer, Detlef Lyu, Guokun Pirazzini, Roberta Naakka, Tuomas Nygård, Tiina Vihma, Timo Pallandt, Martijn Goeckede, Mathias Reum, Friedemann 2018-12-03 https://doi.org/10.5281/zenodo.7051084 eng eng Zenodo https://zenodo.org/communities/intaros-h2020 https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.7051083 https://doi.org/10.5281/zenodo.7051084 oai:zenodo.org:7051084 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Arctic INTAROS Ocean Observing Systems Atmosphere Observing Systems Observations Sensitivity Greeen House Gas Observing Systems Gap Analysis info:eu-repo/semantics/report 2018 ftzenodo https://doi.org/10.5281/zenodo.705108410.5281/zenodo.7051083 2024-07-25T11:18:36Z To understand the quality of the existing observing system in the Arctic to capture important elements of change over the Arctic we performed a gap analysis with respect to the Arctic Ocean, the Arctic atmosphere and the high-latitude carbon-monitoring network. The main points of the findings are: 1) The ocean observing system: The satellite altimeter system is a critical system to monitor the high-frequency variability. Due to the presence of sea ice in winter time, most of the area can be observed only every 5-10 days, leading to large observing gaps. Closing the gap can be done with new arrays of bottom pressure sensor ssuch as tide gauges or moorings in the ocean bottom. In addition, high-frequency transport measurements are required in the Fram, Davis Straights, the Barents Sea Opening, and north of the Laptev Sea. On the seasonal cycle, bottom pressure observations from GRACE are required to monitor the mass related variability and sea-ice observations are crucial for monitoring the halosteric related variability. On decadal time scales,it is important to have a sufficient hydrographic observing component capable of capturing temperature and salinity changes over the entire Arctic Ocean from the surface to the bottom. New algorithms that can recover sea level from sea ice covered areas may help to improve current satellite altimeter systems,and to improve the ability to monitor the Beaufort Gyre. 2) The atmosphere observing system: The density of the existing radiosonde observation network is not the most critical factor for the quality of T850 forecast. Instead,the results pointed out that stations on small islands in the middle of the Atlantic Ocean are critical for the quality of analysis. The Central Arctic Ocean and the Northern North-Atlantic would prob-ably benefit most from new sounding stations. Efforts to improve the quality of radiosonde observations, especially in Russia, would be very beneficial for the quality of T850 forecasts in the Arctic and sub-Arctic. Current data assimilation systems ... Report Arctic Ocean Barents Sea laptev Laptev Sea North Atlantic Sea ice ice covered areas Zenodo |
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Open Polar |
collection |
Zenodo |
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ftzenodo |
language |
English |
topic |
Arctic INTAROS Ocean Observing Systems Atmosphere Observing Systems Observations Sensitivity Greeen House Gas Observing Systems Gap Analysis |
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Arctic INTAROS Ocean Observing Systems Atmosphere Observing Systems Observations Sensitivity Greeen House Gas Observing Systems Gap Analysis Stammer, Detlef Lyu, Guokun Pirazzini, Roberta Naakka, Tuomas Nygård, Tiina Vihma, Timo Pallandt, Martijn Goeckede, Mathias Reum, Friedemann Deliverable 2.12 Observational gaps revealed by model sensitivity to observations |
topic_facet |
Arctic INTAROS Ocean Observing Systems Atmosphere Observing Systems Observations Sensitivity Greeen House Gas Observing Systems Gap Analysis |
description |
To understand the quality of the existing observing system in the Arctic to capture important elements of change over the Arctic we performed a gap analysis with respect to the Arctic Ocean, the Arctic atmosphere and the high-latitude carbon-monitoring network. The main points of the findings are: 1) The ocean observing system: The satellite altimeter system is a critical system to monitor the high-frequency variability. Due to the presence of sea ice in winter time, most of the area can be observed only every 5-10 days, leading to large observing gaps. Closing the gap can be done with new arrays of bottom pressure sensor ssuch as tide gauges or moorings in the ocean bottom. In addition, high-frequency transport measurements are required in the Fram, Davis Straights, the Barents Sea Opening, and north of the Laptev Sea. On the seasonal cycle, bottom pressure observations from GRACE are required to monitor the mass related variability and sea-ice observations are crucial for monitoring the halosteric related variability. On decadal time scales,it is important to have a sufficient hydrographic observing component capable of capturing temperature and salinity changes over the entire Arctic Ocean from the surface to the bottom. New algorithms that can recover sea level from sea ice covered areas may help to improve current satellite altimeter systems,and to improve the ability to monitor the Beaufort Gyre. 2) The atmosphere observing system: The density of the existing radiosonde observation network is not the most critical factor for the quality of T850 forecast. Instead,the results pointed out that stations on small islands in the middle of the Atlantic Ocean are critical for the quality of analysis. The Central Arctic Ocean and the Northern North-Atlantic would prob-ably benefit most from new sounding stations. Efforts to improve the quality of radiosonde observations, especially in Russia, would be very beneficial for the quality of T850 forecasts in the Arctic and sub-Arctic. Current data assimilation systems ... |
format |
Report |
author |
Stammer, Detlef Lyu, Guokun Pirazzini, Roberta Naakka, Tuomas Nygård, Tiina Vihma, Timo Pallandt, Martijn Goeckede, Mathias Reum, Friedemann |
author_facet |
Stammer, Detlef Lyu, Guokun Pirazzini, Roberta Naakka, Tuomas Nygård, Tiina Vihma, Timo Pallandt, Martijn Goeckede, Mathias Reum, Friedemann |
author_sort |
Stammer, Detlef |
title |
Deliverable 2.12 Observational gaps revealed by model sensitivity to observations |
title_short |
Deliverable 2.12 Observational gaps revealed by model sensitivity to observations |
title_full |
Deliverable 2.12 Observational gaps revealed by model sensitivity to observations |
title_fullStr |
Deliverable 2.12 Observational gaps revealed by model sensitivity to observations |
title_full_unstemmed |
Deliverable 2.12 Observational gaps revealed by model sensitivity to observations |
title_sort |
deliverable 2.12 observational gaps revealed by model sensitivity to observations |
publisher |
Zenodo |
publishDate |
2018 |
url |
https://doi.org/10.5281/zenodo.7051084 |
genre |
Arctic Ocean Barents Sea laptev Laptev Sea North Atlantic Sea ice ice covered areas |
genre_facet |
Arctic Ocean Barents Sea laptev Laptev Sea North Atlantic Sea ice ice covered areas |
op_relation |
https://zenodo.org/communities/intaros-h2020 https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.7051083 https://doi.org/10.5281/zenodo.7051084 oai:zenodo.org:7051084 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.705108410.5281/zenodo.7051083 |
_version_ |
1810295557573312512 |