Assessing of concentration footprint climatology at Zotino tall tower observatory (ZOTTO) in the boreal forest of central Siberia

The assessment of spatial representativeness of greenhouses gases concentration is critical to improving our understanding of regional biogeochemical cycles. Continuous measurements of carbon dioxide and methane on tall towers within planetary boundary layer provide an important opportunity for the...

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Main Authors: Timokhina, A., Prokushkin, A., Korets, M., Gerbig, C., Heimann, M.
Format: Conference Object
Language:unknown
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/11858/00-001M-0000-002C-5E46-6
http://hdl.handle.net/11858/00-001M-0000-002C-61B0-1
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spelling ftpubman:oai:pure.mpg.de:item_2394855 2023-08-27T04:12:25+02:00 Assessing of concentration footprint climatology at Zotino tall tower observatory (ZOTTO) in the boreal forest of central Siberia Timokhina, A. Prokushkin, A. Korets, M. Gerbig, C. Heimann, M. 2016-02 application/pdf http://hdl.handle.net/11858/00-001M-0000-002C-5E46-6 http://hdl.handle.net/11858/00-001M-0000-002C-61B0-1 unknown http://hdl.handle.net/11858/00-001M-0000-002C-5E46-6 http://hdl.handle.net/11858/00-001M-0000-002C-61B0-1 Water Resources, Forest, Marine and Ocean Ecosystems Conference Proceedings, SGEM 2016 info:eu-repo/semantics/conferenceObject 2016 ftpubman 2023-08-02T01:01:16Z The assessment of spatial representativeness of greenhouses gases concentration is critical to improving our understanding of regional biogeochemical cycles. Continuous measurements of carbon dioxide and methane on tall towers within planetary boundary layer provide an important opportunity for the study carbon fluxes. In this study, we applied Stochastic Time-inverted Lagrangian Transport (STILT) model to estimate seasonal cumulative footprint climatology for greenhouse gases measurements made at 301-m height of Zotino Tall Tower Observatory (ZOTTO) located in Central Siberia (60°48’ N, 89°21’E). Results showed that ZOTTO seasonal cumulative footprint climatology for May – September of 2008, 2009, 2010 and 2012 reach up 6.9×106 km2. The 75% of cumulative footprints have ranged from 1.9 to 2.3×106 km2. The inputs of land cover, surrounding the ZOTTO, on the concentration measurements was estimated by using the Russian Land Cover (RLC) map of a 230 m spatial resolution. The analysis revealed that areas of land cover classes which constitute the 75% of seasonal cumulative footprint climatology was the nearly same during four years. The proportions of land cover classes in the ZOTTO seasonal footprint climatology were distributed as follows: the bog and marchers was of 20.0±2.1%, deciduous needle-leaf forest – 14.4±4.1%, mixed forest – 12.1±1%, coniferous evergreen needle-leaf forest – 10.3±0.3%, deciduous broadleaf forest – 10.1±0.9%, tundra vegetation – 9.9±3.7%, dark coniferous evergreen needle-leaf forest – 7.6±0.5%, grassland – 5.7±2.6% and other classes – 9.9±3.4%. Conference Object Tundra Siberia Max Planck Society: MPG.PuRe
institution Open Polar
collection Max Planck Society: MPG.PuRe
op_collection_id ftpubman
language unknown
description The assessment of spatial representativeness of greenhouses gases concentration is critical to improving our understanding of regional biogeochemical cycles. Continuous measurements of carbon dioxide and methane on tall towers within planetary boundary layer provide an important opportunity for the study carbon fluxes. In this study, we applied Stochastic Time-inverted Lagrangian Transport (STILT) model to estimate seasonal cumulative footprint climatology for greenhouse gases measurements made at 301-m height of Zotino Tall Tower Observatory (ZOTTO) located in Central Siberia (60°48’ N, 89°21’E). Results showed that ZOTTO seasonal cumulative footprint climatology for May – September of 2008, 2009, 2010 and 2012 reach up 6.9×106 km2. The 75% of cumulative footprints have ranged from 1.9 to 2.3×106 km2. The inputs of land cover, surrounding the ZOTTO, on the concentration measurements was estimated by using the Russian Land Cover (RLC) map of a 230 m spatial resolution. The analysis revealed that areas of land cover classes which constitute the 75% of seasonal cumulative footprint climatology was the nearly same during four years. The proportions of land cover classes in the ZOTTO seasonal footprint climatology were distributed as follows: the bog and marchers was of 20.0±2.1%, deciduous needle-leaf forest – 14.4±4.1%, mixed forest – 12.1±1%, coniferous evergreen needle-leaf forest – 10.3±0.3%, deciduous broadleaf forest – 10.1±0.9%, tundra vegetation – 9.9±3.7%, dark coniferous evergreen needle-leaf forest – 7.6±0.5%, grassland – 5.7±2.6% and other classes – 9.9±3.4%.
format Conference Object
author Timokhina, A.
Prokushkin, A.
Korets, M.
Gerbig, C.
Heimann, M.
spellingShingle Timokhina, A.
Prokushkin, A.
Korets, M.
Gerbig, C.
Heimann, M.
Assessing of concentration footprint climatology at Zotino tall tower observatory (ZOTTO) in the boreal forest of central Siberia
author_facet Timokhina, A.
Prokushkin, A.
Korets, M.
Gerbig, C.
Heimann, M.
author_sort Timokhina, A.
title Assessing of concentration footprint climatology at Zotino tall tower observatory (ZOTTO) in the boreal forest of central Siberia
title_short Assessing of concentration footprint climatology at Zotino tall tower observatory (ZOTTO) in the boreal forest of central Siberia
title_full Assessing of concentration footprint climatology at Zotino tall tower observatory (ZOTTO) in the boreal forest of central Siberia
title_fullStr Assessing of concentration footprint climatology at Zotino tall tower observatory (ZOTTO) in the boreal forest of central Siberia
title_full_unstemmed Assessing of concentration footprint climatology at Zotino tall tower observatory (ZOTTO) in the boreal forest of central Siberia
title_sort assessing of concentration footprint climatology at zotino tall tower observatory (zotto) in the boreal forest of central siberia
publishDate 2016
url http://hdl.handle.net/11858/00-001M-0000-002C-5E46-6
http://hdl.handle.net/11858/00-001M-0000-002C-61B0-1
genre Tundra
Siberia
genre_facet Tundra
Siberia
op_source Water Resources, Forest, Marine and Ocean Ecosystems Conference Proceedings, SGEM 2016
op_relation http://hdl.handle.net/11858/00-001M-0000-002C-5E46-6
http://hdl.handle.net/11858/00-001M-0000-002C-61B0-1
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