Greenland temperature and precipitation over the last 20,000 years using data assimilation

Reconstructions of past temperature and precipitation are fundamental to modeling the Greenland Ice Sheet and assessing its sensitivity to climate. Paleoclimate information is sourced from proxy records and climate-model simulations; however, the former are spatially incomplete while the latter are...

Full description

Bibliographic Details
Main Authors: Badgeley, Jessica A., Steig, Eric J., Hakim, Gregory J., Fudge, Tyler J.
Format: Text
Language:English
Published: 2020
Subjects:
Online Access:https://doi.org/10.5194/cp-2019-164
https://cp.copernicus.org/preprints/cp-2019-164/
id ftcopernicus:oai:publications.copernicus.org:cpd82545
record_format openpolar
spelling ftcopernicus:oai:publications.copernicus.org:cpd82545 2023-05-15T16:26:02+02:00 Greenland temperature and precipitation over the last 20,000 years using data assimilation Badgeley, Jessica A. Steig, Eric J. Hakim, Gregory J. Fudge, Tyler J. 2020-01-20 application/pdf https://doi.org/10.5194/cp-2019-164 https://cp.copernicus.org/preprints/cp-2019-164/ eng eng doi:10.5194/cp-2019-164 https://cp.copernicus.org/preprints/cp-2019-164/ eISSN: 1814-9332 Text 2020 ftcopernicus https://doi.org/10.5194/cp-2019-164 2020-07-20T16:22:29Z Reconstructions of past temperature and precipitation are fundamental to modeling the Greenland Ice Sheet and assessing its sensitivity to climate. Paleoclimate information is sourced from proxy records and climate-model simulations; however, the former are spatially incomplete while the latter are sensitive to model dynamics and boundary conditions. Efforts to combine these sources of information to reconstruct spatial patterns of Greenland climate over glacial-interglacial cycles have been limited by assumptions of fixed spatial patterns and a restricted use of proxy data. We avoid these limitations by using paleoclimate data assimilation to create independent reconstructions of temperature and precipitation for the last 20,000 years. Our method uses information from long ice-core records and extends it to all locations across Greenland using spatial relationships derived from a transient climate-model simulation. Our reconstructions evaluate well against independent ice-core records. In addition, we find that the relationship between precipitation and temperature is frequency dependent and spatially variable, suggesting that thermodynamic scaling methods commonly used in ice-sheet modeling are overly simplistic. Our results demonstrate that paleoclimate data assimilation is a useful tool for reconstructing the spatial and temporal patterns of past climate on timescales relevant to ice sheets. Text Greenland ice core Ice Sheet Copernicus Publications: E-Journals Greenland
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Reconstructions of past temperature and precipitation are fundamental to modeling the Greenland Ice Sheet and assessing its sensitivity to climate. Paleoclimate information is sourced from proxy records and climate-model simulations; however, the former are spatially incomplete while the latter are sensitive to model dynamics and boundary conditions. Efforts to combine these sources of information to reconstruct spatial patterns of Greenland climate over glacial-interglacial cycles have been limited by assumptions of fixed spatial patterns and a restricted use of proxy data. We avoid these limitations by using paleoclimate data assimilation to create independent reconstructions of temperature and precipitation for the last 20,000 years. Our method uses information from long ice-core records and extends it to all locations across Greenland using spatial relationships derived from a transient climate-model simulation. Our reconstructions evaluate well against independent ice-core records. In addition, we find that the relationship between precipitation and temperature is frequency dependent and spatially variable, suggesting that thermodynamic scaling methods commonly used in ice-sheet modeling are overly simplistic. Our results demonstrate that paleoclimate data assimilation is a useful tool for reconstructing the spatial and temporal patterns of past climate on timescales relevant to ice sheets.
format Text
author Badgeley, Jessica A.
Steig, Eric J.
Hakim, Gregory J.
Fudge, Tyler J.
spellingShingle Badgeley, Jessica A.
Steig, Eric J.
Hakim, Gregory J.
Fudge, Tyler J.
Greenland temperature and precipitation over the last 20,000 years using data assimilation
author_facet Badgeley, Jessica A.
Steig, Eric J.
Hakim, Gregory J.
Fudge, Tyler J.
author_sort Badgeley, Jessica A.
title Greenland temperature and precipitation over the last 20,000 years using data assimilation
title_short Greenland temperature and precipitation over the last 20,000 years using data assimilation
title_full Greenland temperature and precipitation over the last 20,000 years using data assimilation
title_fullStr Greenland temperature and precipitation over the last 20,000 years using data assimilation
title_full_unstemmed Greenland temperature and precipitation over the last 20,000 years using data assimilation
title_sort greenland temperature and precipitation over the last 20,000 years using data assimilation
publishDate 2020
url https://doi.org/10.5194/cp-2019-164
https://cp.copernicus.org/preprints/cp-2019-164/
geographic Greenland
geographic_facet Greenland
genre Greenland
ice core
Ice Sheet
genre_facet Greenland
ice core
Ice Sheet
op_source eISSN: 1814-9332
op_relation doi:10.5194/cp-2019-164
https://cp.copernicus.org/preprints/cp-2019-164/
op_doi https://doi.org/10.5194/cp-2019-164
_version_ 1766014895814344704