Database of daily Lagrangian Arctic sea ice parcel drift tracks with coincident ice and atmospheric conditions

Horvath, Sean; Boisvert, Linette; Parker, Chelsea; Webster, Melinda; Taylor, Patrick; Boeke, Robyn; Fons, Steven; Stewart, J. Scott

doi:10.1038/s41597-023-01987-6

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Database of daily Lagrangian Arctic sea ice parcel drift tracks with coincident ice and atmospheric conditions

2023
By Horvath, Sean ; Boisvert, Linette ; Parker, Chelsea ; ...
Source: Scientific Data, 10(1)

[PDF-3.18 MB]

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Journal Title:

Scientific Data
Personal Author:

Horvath, Sean ; Boisvert, Linette ; Parker, Chelsea ; Webster, Melinda ; Taylor, Patrick ; ... More +

Horvath, Sean ; Boisvert, Linette ; Parker, Chelsea ; Webster, Melinda ; Taylor, Patrick ; Boeke, Robyn ; Fons, Steven ; Stewart, J. Scott Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; NCEI (National Centers for Environmental Information)

NESDIS (National Environmental Satellite, Data, and Information Service) ; NCEI (National Centers for Environmental Information) Less -
Description:

Since the early 2000s, sea ice has experienced an increased rate of decline in thickness, extent and age. This new regime, coined the ‘New Arctic’, is accompanied by a reshuffling of energy flows at the surface. Understanding of the magnitude and nature of this reshuffling and the feedbacks therein remains limited. A novel database is presented that combines satellite observations, model output, and reanalysis data with sea ice parcel drift tracks in a Lagrangian framework. This dataset consists of daily time series of sea ice parcel locations, sea ice and snow conditions, and atmospheric states, including remotely sensed surface energy budget terms. Additionally, flags indicate when sea ice parcels travel within cyclones, recording cyclone intensity and distance from the cyclone center. The quality of the ice parcel database was evaluated by comparison with sea ice mass balance buoys and correlations are high, which highlights the reliability of this database in capturing the seasonal changes and evolution of sea ice. This database has multiple applications for the scientific community; it can be used to study the processes that influence individual sea ice parcel time series, or to explore generalized summary statistics and trends across the Arctic.
Keywords:

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Computer Science Applications Education Information Systems Library And Information Sciences Statistics, Probability And Uncertainty Statistics And Probability
Source:

Scientific Data, 10(1)
DOI:

https://doi.org/10.1038/s41597-023-01987-6
ISSN:

2052-4463
Format:

PDF
Publisher:

Springer Science and Business Media LLC
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
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CC BY
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Library
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urn:sha-512:aa908f31ccd4af1fd657980192d5b878cd2191b5d474976120cf02f0acf7a7294508f04b642f510411ae75b393d961aa85a23c3b3fd132908fb62fce2cf30a98
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https://repository.library.noaa.gov/view/noaa/63590/noaa_63590_DS1.pdf
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Database of daily Lagrangian Arctic sea ice parcel drift tracks with coincident ice and atmospheric conditions

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