Using a high-resolution snow process model to inform microwave forward and retrieval models on the physical relationship of snow properties ...
Previous studies have investigated the synergies between snow process models and passive microwave (PMW) remote sensing to fill the lack of information in the PMW obser-vations to retrieve the snow properties, especially the snow mass. We present a case study that expands the previous work, performe...
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ftdatacite:10.5281/zenodo.12750417 2024-09-15T18:25:38+00:00 Using a high-resolution snow process model to inform microwave forward and retrieval models on the physical relationship of snow properties ... Holmberg, Manu Merkouriadi, Ioanna Lemmetyinen, Juha 2024 https://dx.doi.org/10.5281/zenodo.12750417 https://zenodo.org/doi/10.5281/zenodo.12750417 unknown Zenodo https://dx.doi.org/10.5281/zenodo.12750418 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Text Presentation ScholarlyArticle article-journal 2024 ftdatacite https://doi.org/10.5281/zenodo.1275041710.5281/zenodo.12750418 2024-08-01T10:37:51Z Previous studies have investigated the synergies between snow process models and passive microwave (PMW) remote sensing to fill the lack of information in the PMW obser-vations to retrieve the snow properties, especially the snow mass. We present a case study that expands the previous work, performed in a tower setting, to a satellite case. We use a state-of-the-art snow process model with high spatial resolution, to produce a time series of snow states over a study area in the northern Finland, and we simulate the vertically polarized brightness temperature (BT) time series at the frequencies 18.7 GHz and 36.5 GHz. We compare the modeled BTs against the satellite observations. We identify factors, on one hand, in the snow process modeling, and on the other hand, in the radiative transfer modeling, that are responsible for the errors. We also analyze the effect of spatial heterogeneity of the modeled snow properties on the coarse resolution satellite observed BT and conclude that itdoes not play a ... Conference Object Northern Finland DataCite |
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Previous studies have investigated the synergies between snow process models and passive microwave (PMW) remote sensing to fill the lack of information in the PMW obser-vations to retrieve the snow properties, especially the snow mass. We present a case study that expands the previous work, performed in a tower setting, to a satellite case. We use a state-of-the-art snow process model with high spatial resolution, to produce a time series of snow states over a study area in the northern Finland, and we simulate the vertically polarized brightness temperature (BT) time series at the frequencies 18.7 GHz and 36.5 GHz. We compare the modeled BTs against the satellite observations. We identify factors, on one hand, in the snow process modeling, and on the other hand, in the radiative transfer modeling, that are responsible for the errors. We also analyze the effect of spatial heterogeneity of the modeled snow properties on the coarse resolution satellite observed BT and conclude that itdoes not play a ... |
format |
Conference Object |
author |
Holmberg, Manu Merkouriadi, Ioanna Lemmetyinen, Juha |
spellingShingle |
Holmberg, Manu Merkouriadi, Ioanna Lemmetyinen, Juha Using a high-resolution snow process model to inform microwave forward and retrieval models on the physical relationship of snow properties ... |
author_facet |
Holmberg, Manu Merkouriadi, Ioanna Lemmetyinen, Juha |
author_sort |
Holmberg, Manu |
title |
Using a high-resolution snow process model to inform microwave forward and retrieval models on the physical relationship of snow properties ... |
title_short |
Using a high-resolution snow process model to inform microwave forward and retrieval models on the physical relationship of snow properties ... |
title_full |
Using a high-resolution snow process model to inform microwave forward and retrieval models on the physical relationship of snow properties ... |
title_fullStr |
Using a high-resolution snow process model to inform microwave forward and retrieval models on the physical relationship of snow properties ... |
title_full_unstemmed |
Using a high-resolution snow process model to inform microwave forward and retrieval models on the physical relationship of snow properties ... |
title_sort |
using a high-resolution snow process model to inform microwave forward and retrieval models on the physical relationship of snow properties ... |
publisher |
Zenodo |
publishDate |
2024 |
url |
https://dx.doi.org/10.5281/zenodo.12750417 https://zenodo.org/doi/10.5281/zenodo.12750417 |
genre |
Northern Finland |
genre_facet |
Northern Finland |
op_relation |
https://dx.doi.org/10.5281/zenodo.12750418 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.5281/zenodo.1275041710.5281/zenodo.12750418 |
_version_ |
1810466138818084864 |