Large-area land surface simulations in heterogeneous terrain driven by global data sets: application to mountain permafrost
Numerical simulations of land surface processes are important in order to perform landscape-scale assessments of earth systems. This task is problematic in complex terrain due to (i) high-resolution grids required to capture strong lateral variability, and (ii) lack of meteorological forcing data wh...
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fttriple:oai:gotriple.eu:oai:doaj.org/article:d84df1cb385c46f3819ea56d231fa876 2023-05-15T17:57:10+02:00 Large-area land surface simulations in heterogeneous terrain driven by global data sets: application to mountain permafrost J. Fiddes S. Endrizzi S. Gruber 2015-02-01 https://doi.org/10.5194/tc-9-411-2015 http://www.the-cryosphere.net/9/411/2015/tc-9-411-2015.pdf https://doaj.org/article/d84df1cb385c46f3819ea56d231fa876 en eng Copernicus Publications 1994-0416 1994-0424 doi:10.5194/tc-9-411-2015 http://www.the-cryosphere.net/9/411/2015/tc-9-411-2015.pdf https://doaj.org/article/d84df1cb385c46f3819ea56d231fa876 undefined The Cryosphere, Vol 9, Iss 1, Pp 411-426 (2015) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2015 fttriple https://doi.org/10.5194/tc-9-411-2015 2023-01-22T19:25:32Z Numerical simulations of land surface processes are important in order to perform landscape-scale assessments of earth systems. This task is problematic in complex terrain due to (i) high-resolution grids required to capture strong lateral variability, and (ii) lack of meteorological forcing data where they are required. In this study we test a topography and climate processor, which is designed for use with large-area land surface simulation, in complex and remote terrain. The scheme is driven entirely by globally available data sets. We simulate air temperature, ground surface temperature and snow depth and test the model with a large network of measurements in the Swiss Alps. We obtain root-mean-squared error (RMSE) values of 0.64 °C for air temperature, 0.67–1.34 °C for non-bedrock ground surface temperature, and 44.5 mm for snow depth, which is likely affected by poor input precipitation field. Due to this we trial a simple winter precipitation correction method based on melt dates of the snowpack. We present a test application of the scheme in the context of simulating mountain permafrost. The scheme produces a permafrost estimate of 2000 km2, which compares well to published estimates. We suggest that this scheme represents a useful step in application of numerical models over large areas in heterogeneous terrain. Article in Journal/Newspaper permafrost The Cryosphere Unknown The Cryosphere 9 1 411 426 |
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geo envir J. Fiddes S. Endrizzi S. Gruber Large-area land surface simulations in heterogeneous terrain driven by global data sets: application to mountain permafrost |
topic_facet |
geo envir |
description |
Numerical simulations of land surface processes are important in order to perform landscape-scale assessments of earth systems. This task is problematic in complex terrain due to (i) high-resolution grids required to capture strong lateral variability, and (ii) lack of meteorological forcing data where they are required. In this study we test a topography and climate processor, which is designed for use with large-area land surface simulation, in complex and remote terrain. The scheme is driven entirely by globally available data sets. We simulate air temperature, ground surface temperature and snow depth and test the model with a large network of measurements in the Swiss Alps. We obtain root-mean-squared error (RMSE) values of 0.64 °C for air temperature, 0.67–1.34 °C for non-bedrock ground surface temperature, and 44.5 mm for snow depth, which is likely affected by poor input precipitation field. Due to this we trial a simple winter precipitation correction method based on melt dates of the snowpack. We present a test application of the scheme in the context of simulating mountain permafrost. The scheme produces a permafrost estimate of 2000 km2, which compares well to published estimates. We suggest that this scheme represents a useful step in application of numerical models over large areas in heterogeneous terrain. |
format |
Article in Journal/Newspaper |
author |
J. Fiddes S. Endrizzi S. Gruber |
author_facet |
J. Fiddes S. Endrizzi S. Gruber |
author_sort |
J. Fiddes |
title |
Large-area land surface simulations in heterogeneous terrain driven by global data sets: application to mountain permafrost |
title_short |
Large-area land surface simulations in heterogeneous terrain driven by global data sets: application to mountain permafrost |
title_full |
Large-area land surface simulations in heterogeneous terrain driven by global data sets: application to mountain permafrost |
title_fullStr |
Large-area land surface simulations in heterogeneous terrain driven by global data sets: application to mountain permafrost |
title_full_unstemmed |
Large-area land surface simulations in heterogeneous terrain driven by global data sets: application to mountain permafrost |
title_sort |
large-area land surface simulations in heterogeneous terrain driven by global data sets: application to mountain permafrost |
publisher |
Copernicus Publications |
publishDate |
2015 |
url |
https://doi.org/10.5194/tc-9-411-2015 http://www.the-cryosphere.net/9/411/2015/tc-9-411-2015.pdf https://doaj.org/article/d84df1cb385c46f3819ea56d231fa876 |
genre |
permafrost The Cryosphere |
genre_facet |
permafrost The Cryosphere |
op_source |
The Cryosphere, Vol 9, Iss 1, Pp 411-426 (2015) |
op_relation |
1994-0416 1994-0424 doi:10.5194/tc-9-411-2015 http://www.the-cryosphere.net/9/411/2015/tc-9-411-2015.pdf https://doaj.org/article/d84df1cb385c46f3819ea56d231fa876 |
op_rights |
undefined |
op_doi |
https://doi.org/10.5194/tc-9-411-2015 |
container_title |
The Cryosphere |
container_volume |
9 |
container_issue |
1 |
container_start_page |
411 |
op_container_end_page |
426 |
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1766165553157767168 |