A model-based reconstruction of recent Siberian climate - focusing on snow cover

Snow cover is an important feature of the terrestrial landscape in Siberia. Variability and changes of snow cover have profound implications for surface energy and water balance, first due to its high short-wave albedo, high thermal emissivity and low heat conductivity, and second due to the control...

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Bibliographic Details
Main Author: Klehmet, Katharina
Other Authors: Storch, Hans von (Prof. Dr.)
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky 2014
Subjects:
Online Access:http://nbn-resolving.de/urn:nbn:de:gbv:18-68478
https://ediss.sub.uni-hamburg.de/handle/ediss/5495
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author Klehmet, Katharina
author2 Storch, Hans von (Prof. Dr.)
author_facet Klehmet, Katharina
author_sort Klehmet, Katharina
collection ediss.sub.hamburg (Staats- und Universitätsbibliothek Hamburg, Carl von Ossietzky)
description Snow cover is an important feature of the terrestrial landscape in Siberia. Variability and changes of snow cover have profound implications for surface energy and water balance, first due to its high short-wave albedo, high thermal emissivity and low heat conductivity, and second due to the control of evaporation, water storage, soil moisture, river discharge and freshwater transport. The snow properties affect moreover the soil temperature and thus the thermal state of permafrost and the biogeochemical cycle. Monitoring of Siberian climate parameters, including those for snow cover, is complicated by the lack of in situ measurements, especially in the arctic regions. The sparse station density and limited length of data records makes it difficult to obtain a detailed regional overview of past and ongoing changes. The need of long-term climate information with less spatial and temporal gaps has motivated the effort to generate a model-based reconstruction of recent Siberian climate using the regional model COSMO-CLM (CCLM). Although CCLM has been used for several areas, no simulations have been conducted for Siberia before. Therefore, different sensitivity experiments have been performed to identify important regional-specific processes and related adjustments that can be used for a specific model configuration for Siberia. These adjustments are an increased soil column depth down to 92m, the application of the multi-layer snow model and the reduction of the minimal heat diffusion that has implications on the turbulence parameterization to better account for the stable conditions during the winter high pressure system. One hindcast simulation has been conducted from 1948-2010 at about 50 km grid spacing using NCEP-R1 as driving global reanalysis to obtain a reconstruction of 63 years and to investigate long-term regional changes of climate parameters focusing on snow cover. A second climate reconstruction has been performed for comparison using ERA-40 reanalysis as forcing that range from 1958-2001. In terms of ...
format Doctoral or Postdoctoral Thesis
genre albedo
Arctic
permafrost
Siberia
genre_facet albedo
Arctic
permafrost
Siberia
geographic Arctic
geographic_facet Arctic
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institution Open Polar
language English
op_collection_id ftsubhamburg
op_relation http://nbn-resolving.de/urn:nbn:de:gbv:18-68478
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op_rights http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
No license
publishDate 2014
publisher Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
record_format openpolar
spelling ftsubhamburg:oai:ediss.sub.uni-hamburg.de:ediss/5495 2025-01-16T18:43:49+00:00 A model-based reconstruction of recent Siberian climate - focusing on snow cover Eine modellbasierte Rekonstruktion des rezenten Klimas in Sibirien mit Fokus auf die Schneebedeckung Klehmet, Katharina Storch, Hans von (Prof. Dr.) 2014-01-01 http://nbn-resolving.de/urn:nbn:de:gbv:18-68478 https://ediss.sub.uni-hamburg.de/handle/ediss/5495 eng eng Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky http://nbn-resolving.de/urn:nbn:de:gbv:18-68478 https://ediss.sub.uni-hamburg.de/handle/ediss/5495 http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess No license Regional climate model COSMO-CLM hindcast Siberia snow cover 550 Geowissenschaften 38.82 Klimatologie ddc:550 doctoralThesis doc-type:doctoralThesis 2014 ftsubhamburg 2022-11-09T07:11:02Z Snow cover is an important feature of the terrestrial landscape in Siberia. Variability and changes of snow cover have profound implications for surface energy and water balance, first due to its high short-wave albedo, high thermal emissivity and low heat conductivity, and second due to the control of evaporation, water storage, soil moisture, river discharge and freshwater transport. The snow properties affect moreover the soil temperature and thus the thermal state of permafrost and the biogeochemical cycle. Monitoring of Siberian climate parameters, including those for snow cover, is complicated by the lack of in situ measurements, especially in the arctic regions. The sparse station density and limited length of data records makes it difficult to obtain a detailed regional overview of past and ongoing changes. The need of long-term climate information with less spatial and temporal gaps has motivated the effort to generate a model-based reconstruction of recent Siberian climate using the regional model COSMO-CLM (CCLM). Although CCLM has been used for several areas, no simulations have been conducted for Siberia before. Therefore, different sensitivity experiments have been performed to identify important regional-specific processes and related adjustments that can be used for a specific model configuration for Siberia. These adjustments are an increased soil column depth down to 92m, the application of the multi-layer snow model and the reduction of the minimal heat diffusion that has implications on the turbulence parameterization to better account for the stable conditions during the winter high pressure system. One hindcast simulation has been conducted from 1948-2010 at about 50 km grid spacing using NCEP-R1 as driving global reanalysis to obtain a reconstruction of 63 years and to investigate long-term regional changes of climate parameters focusing on snow cover. A second climate reconstruction has been performed for comparison using ERA-40 reanalysis as forcing that range from 1958-2001. In terms of ... Doctoral or Postdoctoral Thesis albedo Arctic permafrost Siberia ediss.sub.hamburg (Staats- und Universitätsbibliothek Hamburg, Carl von Ossietzky) Arctic
spellingShingle Regional climate model
COSMO-CLM
hindcast
Siberia
snow cover
550 Geowissenschaften
38.82 Klimatologie
ddc:550
Klehmet, Katharina
A model-based reconstruction of recent Siberian climate - focusing on snow cover
title A model-based reconstruction of recent Siberian climate - focusing on snow cover
title_full A model-based reconstruction of recent Siberian climate - focusing on snow cover
title_fullStr A model-based reconstruction of recent Siberian climate - focusing on snow cover
title_full_unstemmed A model-based reconstruction of recent Siberian climate - focusing on snow cover
title_short A model-based reconstruction of recent Siberian climate - focusing on snow cover
title_sort model-based reconstruction of recent siberian climate - focusing on snow cover
topic Regional climate model
COSMO-CLM
hindcast
Siberia
snow cover
550 Geowissenschaften
38.82 Klimatologie
ddc:550
topic_facet Regional climate model
COSMO-CLM
hindcast
Siberia
snow cover
550 Geowissenschaften
38.82 Klimatologie
ddc:550
url http://nbn-resolving.de/urn:nbn:de:gbv:18-68478
https://ediss.sub.uni-hamburg.de/handle/ediss/5495