Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: Water resources. Forest, marine and ocean ecosystems ; Albena, Bulgaria; Albena, Bulgaria
Год издания: 2016
Идентификатор DOI: 10.5593/SGEM2016/B32/S14.064
Ключевые слова: ZOTTO, Stilt, RLC, footprint climatology
Аннотация: 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 studПоказать полностьюy, 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%.
Журнал: 16th International Multidisciplinary Scientific GeoConference SGEM 2016
Выпуск журнала: 2
Номера страниц: 487-494
Издатель: Общество с ограниченной ответственностью СТЕФ92 Технолоджи