Feasibility of improving a priori regional climate model estimates of Greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures
peer reviewed The Greenland ice sheet (GrIS) has been the focus of climate studies due to its considerable impact on sea level rise. Accurate estimates of surface mass fluxes would contribute to understanding the cause of its recent changes and would help to better estimate the past, current and fut...
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Online Access: | https://orbi.uliege.be/handle/2268/191567 https://orbi.uliege.be/bitstream/2268/191567/1/tc-10-103-2016.pdf https://doi.org/10.5194/tc-10-103-2016 |
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ftorbi:oai:orbi.ulg.ac.be:2268/191567 2024-04-21T08:03:42+00:00 Feasibility of improving a priori regional climate model estimates of Greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures Navari, M. Margulis, S.A. Bateni, S.M. Tedesco, M. Alexander, P. Fettweis, Xavier 2016-01-18 https://orbi.uliege.be/handle/2268/191567 https://orbi.uliege.be/bitstream/2268/191567/1/tc-10-103-2016.pdf https://doi.org/10.5194/tc-10-103-2016 en eng Copernicus http://www.the-cryosphere.net/10/103/2016/ urn:issn:1994-0416 urn:issn:1994-0424 https://orbi.uliege.be/handle/2268/191567 info:hdl:2268/191567 https://orbi.uliege.be/bitstream/2268/191567/1/tc-10-103-2016.pdf doi:10.5194/tc-10-103-2016 scopus-id:2-s2.0-85009387545 open access http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess The Cryosphere, 10, 103-120 (2016-01-18) Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique journal article http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article peer reviewed 2016 ftorbi https://doi.org/10.5194/tc-10-103-2016 2024-03-27T14:58:15Z peer reviewed The Greenland ice sheet (GrIS) has been the focus of climate studies due to its considerable impact on sea level rise. Accurate estimates of surface mass fluxes would contribute to understanding the cause of its recent changes and would help to better estimate the past, current and future contribution of the GrIS to sea level rise. Though the estimates of the GrIS surface mass fluxes have improved significantly over the last decade, there is still considerable disparity between the results from different methodologies (e.g., Rae et al., 2012; Vernon et al., 2013). The data assimilation approach can merge information from different methodologies in a consistent way to improve the GrIS surface mass fluxes. In this study, an ensemble batch smoother data assimilation approach was developed to assess the feasibility of generating a reanalysis estimate of the GrIS surface mass fluxes via integrating remotely sensed ice surface temperature measurements with a regional climate model (a priori) estimate. The performance of the proposed methodology for generating an improved posterior estimate was investigated within an observing system simulation experiment (OSSE) framework using synthetically generated ice surface temperature measurements. The results showed that assimilation of ice surface temperature time series were able to overcome uncertainties in near-surface meteorological forcing variables that drive the GrIS surface processes. Our findings show that the proposed methodology is able to generate posterior reanalysis estimates of the surface mass fluxes that are in good agreement with the synthetic true estimates. The results also showed that the proposed data assimilation framework improves the root-mean-square error of the posterior estimates of runoff, sublimation/evaporation, surface condensation, and surface mass loss fluxes by 61, 64, 76, and 62 %, respectively, over the nominal a priori climate model estimates. Article in Journal/Newspaper Greenland Ice Sheet The Cryosphere University of Liège: ORBi (Open Repository and Bibliography) The Cryosphere 10 1 103 120 |
institution |
Open Polar |
collection |
University of Liège: ORBi (Open Repository and Bibliography) |
op_collection_id |
ftorbi |
language |
English |
topic |
Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique |
spellingShingle |
Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique Navari, M. Margulis, S.A. Bateni, S.M. Tedesco, M. Alexander, P. Fettweis, Xavier Feasibility of improving a priori regional climate model estimates of Greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures |
topic_facet |
Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique |
description |
peer reviewed The Greenland ice sheet (GrIS) has been the focus of climate studies due to its considerable impact on sea level rise. Accurate estimates of surface mass fluxes would contribute to understanding the cause of its recent changes and would help to better estimate the past, current and future contribution of the GrIS to sea level rise. Though the estimates of the GrIS surface mass fluxes have improved significantly over the last decade, there is still considerable disparity between the results from different methodologies (e.g., Rae et al., 2012; Vernon et al., 2013). The data assimilation approach can merge information from different methodologies in a consistent way to improve the GrIS surface mass fluxes. In this study, an ensemble batch smoother data assimilation approach was developed to assess the feasibility of generating a reanalysis estimate of the GrIS surface mass fluxes via integrating remotely sensed ice surface temperature measurements with a regional climate model (a priori) estimate. The performance of the proposed methodology for generating an improved posterior estimate was investigated within an observing system simulation experiment (OSSE) framework using synthetically generated ice surface temperature measurements. The results showed that assimilation of ice surface temperature time series were able to overcome uncertainties in near-surface meteorological forcing variables that drive the GrIS surface processes. Our findings show that the proposed methodology is able to generate posterior reanalysis estimates of the surface mass fluxes that are in good agreement with the synthetic true estimates. The results also showed that the proposed data assimilation framework improves the root-mean-square error of the posterior estimates of runoff, sublimation/evaporation, surface condensation, and surface mass loss fluxes by 61, 64, 76, and 62 %, respectively, over the nominal a priori climate model estimates. |
format |
Article in Journal/Newspaper |
author |
Navari, M. Margulis, S.A. Bateni, S.M. Tedesco, M. Alexander, P. Fettweis, Xavier |
author_facet |
Navari, M. Margulis, S.A. Bateni, S.M. Tedesco, M. Alexander, P. Fettweis, Xavier |
author_sort |
Navari, M. |
title |
Feasibility of improving a priori regional climate model estimates of Greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures |
title_short |
Feasibility of improving a priori regional climate model estimates of Greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures |
title_full |
Feasibility of improving a priori regional climate model estimates of Greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures |
title_fullStr |
Feasibility of improving a priori regional climate model estimates of Greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures |
title_full_unstemmed |
Feasibility of improving a priori regional climate model estimates of Greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures |
title_sort |
feasibility of improving a priori regional climate model estimates of greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures |
publisher |
Copernicus |
publishDate |
2016 |
url |
https://orbi.uliege.be/handle/2268/191567 https://orbi.uliege.be/bitstream/2268/191567/1/tc-10-103-2016.pdf https://doi.org/10.5194/tc-10-103-2016 |
genre |
Greenland Ice Sheet The Cryosphere |
genre_facet |
Greenland Ice Sheet The Cryosphere |
op_source |
The Cryosphere, 10, 103-120 (2016-01-18) |
op_relation |
http://www.the-cryosphere.net/10/103/2016/ urn:issn:1994-0416 urn:issn:1994-0424 https://orbi.uliege.be/handle/2268/191567 info:hdl:2268/191567 https://orbi.uliege.be/bitstream/2268/191567/1/tc-10-103-2016.pdf doi:10.5194/tc-10-103-2016 scopus-id:2-s2.0-85009387545 |
op_rights |
open access http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-10-103-2016 |
container_title |
The Cryosphere |
container_volume |
10 |
container_issue |
1 |
container_start_page |
103 |
op_container_end_page |
120 |
_version_ |
1796943449116639232 |