Comparing firn temperature profile retrieval based on the firn densification model and microwave data over the Antarctica
The firn temperature is a crucial parameter for understanding firn densification processes of the Antarctic Ice Sheet (AIS). Simulations with firn densification models (FDM) can be conceptualized as a function that relies on forcing data, comprising temperature and surface mass balance, together wit...
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ftdoajarticles:oai:doaj.org/article:211d8ba0245f46e3b74525698d5c8538 2024-09-15T17:48:15+00:00 Comparing firn temperature profile retrieval based on the firn densification model and microwave data over the Antarctica X. Wang L. An P. L. Langen R. Li 2024-05-01T00:00:00Z https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-691-2024 https://doaj.org/article/211d8ba0245f46e3b74525698d5c8538 EN eng Copernicus Publications https://isprs-archives.copernicus.org/articles/XLVIII-1-2024/691/2024/isprs-archives-XLVIII-1-2024-691-2024.pdf https://doaj.org/toc/1682-1750 https://doaj.org/toc/2194-9034 doi:10.5194/isprs-archives-XLVIII-1-2024-691-2024 1682-1750 2194-9034 https://doaj.org/article/211d8ba0245f46e3b74525698d5c8538 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-2024, Pp 691-696 (2024) Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 article 2024 ftdoajarticles https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-691-2024 2024-08-05T17:49:24Z The firn temperature is a crucial parameter for understanding firn densification processes of the Antarctic Ice Sheet (AIS). Simulations with firn densification models (FDM) can be conceptualized as a function that relies on forcing data, comprising temperature and surface mass balance, together with tuning parameters determined based on measured depth-density profiles from different locations. The simulated firn temperature is obtained in the firn densification models by solving the one-dimensional heat conduction equation. Microwave satellite data on brightness temperature at different frequencies can also provide remote sensing monitoring of firn temperature variations across the AIS (i.e., the L-band up to 1500 meters). The firn temperature can be estimated by the microwave emission model and the regression method, but these two methods need more observations of temperature profiles for correction and validation. Therefore, we compiled a dataset with temperature profiles and temperature observations with depth around 10 meters. In this work, two methods were used to simulate/retrieve firn temperature across the Antarctic ice sheet. One method estimated the temperature profiles by solving the one-dimensional heat conduction equation driven by reanalyses and regional climate models, which are used in the simulation of FDMs. The other one established a relationship between the multi-frequency brightness temperature data from microwave remote sensing satellites and the firn temperature. Article in Journal/Newspaper Antarc* Antarctic Antarctica Ice Sheet Directory of Open Access Journals: DOAJ Articles The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1-2024 691 696 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
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English |
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Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 |
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Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 X. Wang L. An P. L. Langen R. Li Comparing firn temperature profile retrieval based on the firn densification model and microwave data over the Antarctica |
topic_facet |
Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 |
description |
The firn temperature is a crucial parameter for understanding firn densification processes of the Antarctic Ice Sheet (AIS). Simulations with firn densification models (FDM) can be conceptualized as a function that relies on forcing data, comprising temperature and surface mass balance, together with tuning parameters determined based on measured depth-density profiles from different locations. The simulated firn temperature is obtained in the firn densification models by solving the one-dimensional heat conduction equation. Microwave satellite data on brightness temperature at different frequencies can also provide remote sensing monitoring of firn temperature variations across the AIS (i.e., the L-band up to 1500 meters). The firn temperature can be estimated by the microwave emission model and the regression method, but these two methods need more observations of temperature profiles for correction and validation. Therefore, we compiled a dataset with temperature profiles and temperature observations with depth around 10 meters. In this work, two methods were used to simulate/retrieve firn temperature across the Antarctic ice sheet. One method estimated the temperature profiles by solving the one-dimensional heat conduction equation driven by reanalyses and regional climate models, which are used in the simulation of FDMs. The other one established a relationship between the multi-frequency brightness temperature data from microwave remote sensing satellites and the firn temperature. |
format |
Article in Journal/Newspaper |
author |
X. Wang L. An P. L. Langen R. Li |
author_facet |
X. Wang L. An P. L. Langen R. Li |
author_sort |
X. Wang |
title |
Comparing firn temperature profile retrieval based on the firn densification model and microwave data over the Antarctica |
title_short |
Comparing firn temperature profile retrieval based on the firn densification model and microwave data over the Antarctica |
title_full |
Comparing firn temperature profile retrieval based on the firn densification model and microwave data over the Antarctica |
title_fullStr |
Comparing firn temperature profile retrieval based on the firn densification model and microwave data over the Antarctica |
title_full_unstemmed |
Comparing firn temperature profile retrieval based on the firn densification model and microwave data over the Antarctica |
title_sort |
comparing firn temperature profile retrieval based on the firn densification model and microwave data over the antarctica |
publisher |
Copernicus Publications |
publishDate |
2024 |
url |
https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-691-2024 https://doaj.org/article/211d8ba0245f46e3b74525698d5c8538 |
genre |
Antarc* Antarctic Antarctica Ice Sheet |
genre_facet |
Antarc* Antarctic Antarctica Ice Sheet |
op_source |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-2024, Pp 691-696 (2024) |
op_relation |
https://isprs-archives.copernicus.org/articles/XLVIII-1-2024/691/2024/isprs-archives-XLVIII-1-2024-691-2024.pdf https://doaj.org/toc/1682-1750 https://doaj.org/toc/2194-9034 doi:10.5194/isprs-archives-XLVIII-1-2024-691-2024 1682-1750 2194-9034 https://doaj.org/article/211d8ba0245f46e3b74525698d5c8538 |
op_doi |
https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-691-2024 |
container_title |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
container_volume |
XLVIII-1-2024 |
container_start_page |
691 |
op_container_end_page |
696 |
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1810289411637641216 |