Microstructure representation of snow in coupled snowpack and microwave emission models

This is the first study to encompass a wide range of coupled snow evolution and microwave emission models in a common modelling framework in order to generalise the link between snowpack microstructure predicted by the snow evolution models and microstructure required to reproduce observations of br...

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Published in:The Cryosphere
Main Authors: M. Sandells, R. Essery, N. Rutter, L. Wake, L. Leppänen, J. Lemmetyinen
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2017
Subjects:
geo
Online Access:https://doi.org/10.5194/tc-11-229-2017
http://www.the-cryosphere.net/11/229/2017/tc-11-229-2017.pdf
https://doaj.org/article/420d77fa4b1b40d4bcffe6e9902869da
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:420d77fa4b1b40d4bcffe6e9902869da 2023-05-15T15:13:20+02:00 Microstructure representation of snow in coupled snowpack and microwave emission models M. Sandells R. Essery N. Rutter L. Wake L. Leppänen J. Lemmetyinen 2017-01-01 https://doi.org/10.5194/tc-11-229-2017 http://www.the-cryosphere.net/11/229/2017/tc-11-229-2017.pdf https://doaj.org/article/420d77fa4b1b40d4bcffe6e9902869da en eng Copernicus Publications 1994-0416 1994-0424 doi:10.5194/tc-11-229-2017 http://www.the-cryosphere.net/11/229/2017/tc-11-229-2017.pdf https://doaj.org/article/420d77fa4b1b40d4bcffe6e9902869da undefined The Cryosphere, Vol 11, Iss 1, Pp 229-246 (2017) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2017 fttriple https://doi.org/10.5194/tc-11-229-2017 2023-01-22T19:24:19Z This is the first study to encompass a wide range of coupled snow evolution and microwave emission models in a common modelling framework in order to generalise the link between snowpack microstructure predicted by the snow evolution models and microstructure required to reproduce observations of brightness temperature as simulated by snow emission models. Brightness temperatures at 18.7 and 36.5 GHz were simulated by 1323 ensemble members, formed from 63 Jules Investigation Model snowpack simulations, three microstructure evolution functions, and seven microwave emission model configurations. Two years of meteorological data from the Sodankylä Arctic Research Centre, Finland, were used to drive the model over the 2011–2012 and 2012–2013 winter periods. Comparisons between simulated snow grain diameters and field measurements with an IceCube instrument showed that the evolution functions from SNTHERM simulated snow grain diameters that were too large (mean error 0.12 to 0.16 mm), whereas MOSES and SNICAR microstructure evolution functions simulated grain diameters that were too small (mean error −0.16 to −0.24 mm for MOSES and −0.14 to −0.18 mm for SNICAR). No model (HUT, MEMLS, or DMRT-ML) provided a consistently good fit across all frequencies and polarisations. The smallest absolute values of mean bias in brightness temperature over a season for a particular frequency and polarisation ranged from 0.7 to 6.9 K. Optimal scaling factors for the snow microstructure were presented to compare compatibility between snowpack model microstructure and emission model microstructure. Scale factors ranged between 0.3 for the SNTHERM–empirical MEMLS model combination (2011–2012) and 3.3 for DMRT-ML in conjunction with MOSES microstructure (2012–2013). Differences in scale factors between microstructure models were generally greater than the differences between microwave emission models, suggesting that more accurate simulations in coupled snowpack–microwave model systems will be achieved primarily through improvements in ... Article in Journal/Newspaper Arctic Sodankylä The Cryosphere Unknown Arctic Jules ENVELOPE(140.917,140.917,-66.742,-66.742) Moses ENVELOPE(-99.183,-99.183,-74.550,-74.550) Sodankylä ENVELOPE(26.600,26.600,67.417,67.417) The Cryosphere 11 1 229 246
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
M. Sandells
R. Essery
N. Rutter
L. Wake
L. Leppänen
J. Lemmetyinen
Microstructure representation of snow in coupled snowpack and microwave emission models
topic_facet geo
envir
description This is the first study to encompass a wide range of coupled snow evolution and microwave emission models in a common modelling framework in order to generalise the link between snowpack microstructure predicted by the snow evolution models and microstructure required to reproduce observations of brightness temperature as simulated by snow emission models. Brightness temperatures at 18.7 and 36.5 GHz were simulated by 1323 ensemble members, formed from 63 Jules Investigation Model snowpack simulations, three microstructure evolution functions, and seven microwave emission model configurations. Two years of meteorological data from the Sodankylä Arctic Research Centre, Finland, were used to drive the model over the 2011–2012 and 2012–2013 winter periods. Comparisons between simulated snow grain diameters and field measurements with an IceCube instrument showed that the evolution functions from SNTHERM simulated snow grain diameters that were too large (mean error 0.12 to 0.16 mm), whereas MOSES and SNICAR microstructure evolution functions simulated grain diameters that were too small (mean error −0.16 to −0.24 mm for MOSES and −0.14 to −0.18 mm for SNICAR). No model (HUT, MEMLS, or DMRT-ML) provided a consistently good fit across all frequencies and polarisations. The smallest absolute values of mean bias in brightness temperature over a season for a particular frequency and polarisation ranged from 0.7 to 6.9 K. Optimal scaling factors for the snow microstructure were presented to compare compatibility between snowpack model microstructure and emission model microstructure. Scale factors ranged between 0.3 for the SNTHERM–empirical MEMLS model combination (2011–2012) and 3.3 for DMRT-ML in conjunction with MOSES microstructure (2012–2013). Differences in scale factors between microstructure models were generally greater than the differences between microwave emission models, suggesting that more accurate simulations in coupled snowpack–microwave model systems will be achieved primarily through improvements in ...
format Article in Journal/Newspaper
author M. Sandells
R. Essery
N. Rutter
L. Wake
L. Leppänen
J. Lemmetyinen
author_facet M. Sandells
R. Essery
N. Rutter
L. Wake
L. Leppänen
J. Lemmetyinen
author_sort M. Sandells
title Microstructure representation of snow in coupled snowpack and microwave emission models
title_short Microstructure representation of snow in coupled snowpack and microwave emission models
title_full Microstructure representation of snow in coupled snowpack and microwave emission models
title_fullStr Microstructure representation of snow in coupled snowpack and microwave emission models
title_full_unstemmed Microstructure representation of snow in coupled snowpack and microwave emission models
title_sort microstructure representation of snow in coupled snowpack and microwave emission models
publisher Copernicus Publications
publishDate 2017
url https://doi.org/10.5194/tc-11-229-2017
http://www.the-cryosphere.net/11/229/2017/tc-11-229-2017.pdf
https://doaj.org/article/420d77fa4b1b40d4bcffe6e9902869da
long_lat ENVELOPE(140.917,140.917,-66.742,-66.742)
ENVELOPE(-99.183,-99.183,-74.550,-74.550)
ENVELOPE(26.600,26.600,67.417,67.417)
geographic Arctic
Jules
Moses
Sodankylä
geographic_facet Arctic
Jules
Moses
Sodankylä
genre Arctic
Sodankylä
The Cryosphere
genre_facet Arctic
Sodankylä
The Cryosphere
op_source The Cryosphere, Vol 11, Iss 1, Pp 229-246 (2017)
op_relation 1994-0416
1994-0424
doi:10.5194/tc-11-229-2017
http://www.the-cryosphere.net/11/229/2017/tc-11-229-2017.pdf
https://doaj.org/article/420d77fa4b1b40d4bcffe6e9902869da
op_rights undefined
op_doi https://doi.org/10.5194/tc-11-229-2017
container_title The Cryosphere
container_volume 11
container_issue 1
container_start_page 229
op_container_end_page 246
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