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Recovery of continuous field of ecological-climatic indices based on the meteorological stations data

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dc.date.accessioned 2019-01-22T20:48:18Z
dc.date.available 2019-01-22T20:48:18Z
dc.date.issued 2018
dc.identifier.issn 1755-1307
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/148858
dc.description.abstract © Published under licence by IOP Publishing Ltd. The possibility of using INLA (Integrated Nested Laplace Approximations) method for the recovery of continuous field of ecological-climatic indices based on the meteorological stations data has been considered and the accuracy of such recovery assessed. Meteorological data from 13 stations were used to fit INLA model, and independent data from 58 stations were used to test the model. Traditional ecological-climatic indices were modelled (annual sum of effective temperatures, mean annual temperature, mean temperature of the coldest and the warmest month within a year). All indices show good compliance of the model predictions and data test (R2 in range 0.70-0.90).
dc.relation.ispartofseries IOP Conference Series: Earth and Environmental Science
dc.title Recovery of continuous field of ecological-climatic indices based on the meteorological stations data
dc.type Conference Paper
dc.relation.ispartofseries-issue 1
dc.relation.ispartofseries-volume 107
dc.collection Публикации сотрудников КФУ
dc.source.id SCOPUS17551307-2018-107-1-SID85042215340


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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