Collaborative Research: A pan-Arctic, storm-by-storm isotopic investigation of the influence of Arctic sea ice on precipitation - a crucial link in the coupled climate system

This project will quantify the relationship between the ice-free area of the Arctic Ocean and surrounding seas, and evaporation and precipitation in the Arctic region. The methodology uses isotopic compositions of storm-by-storm precipitation samples, pan-Arctic meteorological data, and numerical mo...

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Main Authors: Xiahong Feng, John Burkhart
Format: Dataset
Language:unknown
Published: Arctic Data Center 2013
Subjects:
Online Access:https://search.dataone.org/view/urn:uuid:dcf280bf-4e22-4877-aba5-2e5598d29920
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spelling dataone:urn:uuid:dcf280bf-4e22-4877-aba5-2e5598d29920 2023-11-08T14:14:16+01:00 Collaborative Research: A pan-Arctic, storm-by-storm isotopic investigation of the influence of Arctic sea ice on precipitation - a crucial link in the coupled climate system Xiahong Feng John Burkhart No geographic description provided. ENVELOPE(-156.61,161.33,78.54,68.1) BEGINDATE: 2010-09-01T00:00:00Z ENDDATE: 2015-08-31T00:00:00Z 2013-02-04T00:00:00Z https://search.dataone.org/view/urn:uuid:dcf280bf-4e22-4877-aba5-2e5598d29920 unknown Arctic Data Center ARCSS Dataset 2013 dataone:urn:node:ARCTIC 2023-11-08T13:38:20Z This project will quantify the relationship between the ice-free area of the Arctic Ocean and surrounding seas, and evaporation and precipitation in the Arctic region. The methodology uses isotopic compositions of storm-by-storm precipitation samples, pan-Arctic meteorological data, and numerical modeling. Precipitation samples will be collected at nine Arctic observatories, and by three high schools in Greenland. Samples will be analyzed for D/H and 18O/16O ratios. The track of a given storm will be reconstructed using reanalysis data and a Lagrangian trajectory algorithm. The moisture sources are then localized, and the δ18O, δD and d-excess of the source vapor are calculated using the sea surface temperature, relative humidity and wind speed. The sea ice area transected by each storm will be obtained using high-resolution satellite products. A two-dimensional (2D) model of the atmospheric moisture cycle will be used to compute the isotopic composition of precipitation for each storm at each site using reanalysis values of meteorological variables at the times and regions identified by the Lagrangian back trajectory, and assuming a range of sea ice concentrations. The sea ice concentration that best fits our isotopic measurements is then compared with the satellite sea ice data. The isotope data will thus yield, via the 2D model, the sensitivity of Arctic evaporation and precipitation to ice area. The project will yield a quantitative understanding of the links among sea ice, and moisture sources and amounts of Arctic precipitation, which comprise an important part of climate dynamics on a wide range of time scales. The results will be pertinent to the interpretation of ice core data, ice age dynamics, sudden climate change, and global warming. This project also intends to integrate research with education and outreach, which will directly benefit participating Arctic communities. The project aims to improve community understanding of how climate change research is done, by providing Arctic students with new knowledge and skills, and by inspiring them to pursue advanced studies. At the same time, the PI's will benefit from learning traditional methods of observing, categorizing, and forecasting weather and climate from the communities participating in the study. Dataset Arctic Arctic Ocean Climate change Collaborative Research: A pan-Arctic, storm-by-storm isotopic investigation of the influence of Arctic sea ice on precipitation - a crucial link in the coupled climate system Global warming Greenland ice core Sea ice Arctic Data Center (via DataONE) Arctic Arctic Ocean Greenland ENVELOPE(-156.61,161.33,78.54,68.1)
institution Open Polar
collection Arctic Data Center (via DataONE)
op_collection_id dataone:urn:node:ARCTIC
language unknown
topic ARCSS
spellingShingle ARCSS
Xiahong Feng
John Burkhart
Collaborative Research: A pan-Arctic, storm-by-storm isotopic investigation of the influence of Arctic sea ice on precipitation - a crucial link in the coupled climate system
topic_facet ARCSS
description This project will quantify the relationship between the ice-free area of the Arctic Ocean and surrounding seas, and evaporation and precipitation in the Arctic region. The methodology uses isotopic compositions of storm-by-storm precipitation samples, pan-Arctic meteorological data, and numerical modeling. Precipitation samples will be collected at nine Arctic observatories, and by three high schools in Greenland. Samples will be analyzed for D/H and 18O/16O ratios. The track of a given storm will be reconstructed using reanalysis data and a Lagrangian trajectory algorithm. The moisture sources are then localized, and the δ18O, δD and d-excess of the source vapor are calculated using the sea surface temperature, relative humidity and wind speed. The sea ice area transected by each storm will be obtained using high-resolution satellite products. A two-dimensional (2D) model of the atmospheric moisture cycle will be used to compute the isotopic composition of precipitation for each storm at each site using reanalysis values of meteorological variables at the times and regions identified by the Lagrangian back trajectory, and assuming a range of sea ice concentrations. The sea ice concentration that best fits our isotopic measurements is then compared with the satellite sea ice data. The isotope data will thus yield, via the 2D model, the sensitivity of Arctic evaporation and precipitation to ice area. The project will yield a quantitative understanding of the links among sea ice, and moisture sources and amounts of Arctic precipitation, which comprise an important part of climate dynamics on a wide range of time scales. The results will be pertinent to the interpretation of ice core data, ice age dynamics, sudden climate change, and global warming. This project also intends to integrate research with education and outreach, which will directly benefit participating Arctic communities. The project aims to improve community understanding of how climate change research is done, by providing Arctic students with new knowledge and skills, and by inspiring them to pursue advanced studies. At the same time, the PI's will benefit from learning traditional methods of observing, categorizing, and forecasting weather and climate from the communities participating in the study.
format Dataset
author Xiahong Feng
John Burkhart
author_facet Xiahong Feng
John Burkhart
author_sort Xiahong Feng
title Collaborative Research: A pan-Arctic, storm-by-storm isotopic investigation of the influence of Arctic sea ice on precipitation - a crucial link in the coupled climate system
title_short Collaborative Research: A pan-Arctic, storm-by-storm isotopic investigation of the influence of Arctic sea ice on precipitation - a crucial link in the coupled climate system
title_full Collaborative Research: A pan-Arctic, storm-by-storm isotopic investigation of the influence of Arctic sea ice on precipitation - a crucial link in the coupled climate system
title_fullStr Collaborative Research: A pan-Arctic, storm-by-storm isotopic investigation of the influence of Arctic sea ice on precipitation - a crucial link in the coupled climate system
title_full_unstemmed Collaborative Research: A pan-Arctic, storm-by-storm isotopic investigation of the influence of Arctic sea ice on precipitation - a crucial link in the coupled climate system
title_sort collaborative research: a pan-arctic, storm-by-storm isotopic investigation of the influence of arctic sea ice on precipitation - a crucial link in the coupled climate system
publisher Arctic Data Center
publishDate 2013
url https://search.dataone.org/view/urn:uuid:dcf280bf-4e22-4877-aba5-2e5598d29920
op_coverage No geographic description provided.
ENVELOPE(-156.61,161.33,78.54,68.1)
BEGINDATE: 2010-09-01T00:00:00Z ENDDATE: 2015-08-31T00:00:00Z
long_lat ENVELOPE(-156.61,161.33,78.54,68.1)
geographic Arctic
Arctic Ocean
Greenland
geographic_facet Arctic
Arctic Ocean
Greenland
genre Arctic
Arctic Ocean
Climate change
Collaborative Research: A pan-Arctic, storm-by-storm isotopic investigation of the influence of Arctic sea ice on precipitation - a crucial link in the coupled climate system
Global warming
Greenland
ice core
Sea ice
genre_facet Arctic
Arctic Ocean
Climate change
Collaborative Research: A pan-Arctic, storm-by-storm isotopic investigation of the influence of Arctic sea ice on precipitation - a crucial link in the coupled climate system
Global warming
Greenland
ice core
Sea ice
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