مورد إلكتروني

The global historical climate database HCLIM

التفاصيل البيبلوغرافية
العنوان: The global historical climate database HCLIM
المؤلفون: Universitat Rovira i Virgili, Lundstad, E; Brugnara, Y; Pappert, D; Kopp, J; Samakinwa, E; Hürzeler, A; Andersson, A; Chimani, B; Cornes, R; Demarée, G; Filipiak, J; Gates, L; Ives, GL; Jones, JM; Jourdain, S; Kiss, A; Nicholson, SE; Przybylak, R; Jones, P; Rousseau, D; Tinz, B; Rodrigo, FS; Grab, S; Domínguez-Castro, F; Slonosky, V; Cooper, J; Brunet, M; Bröennimann, S
المصدر: Scientific Data; 10.1038/s41597-022-01919-w; Scientific Data. 10 (1):
بيانات النشر: 2023
نوع الوثيقة: Electronic Resource
مستخلص: There is a growing need for past weather and climate data to support science and decision-making. This paper describes the compilation and construction of a global multivariable (air temperature, pressure, precipitation sum, number of precipitation days) monthly instrumental climate database that encompasses a substantial body of the known early instrumental time series. The dataset contains series compiled from existing databases that start before 1890 (though continuing to the present) as well as a large amount of newly rescued data. All series underwent a quality control procedure and subdaily series were processed to monthly mean values. An inventory was compiled, and the collection was deduplicated based on coordinates and mutual correlations. The data are provided in a common format accompanied by the inventory. The collection totals 12452 meteorological records in 118 countries. The data can be used for climate reconstructions and analyses. It is the most comprehensive global monthly climate dataset for the preindustrial period so far.
مصطلحات الفهرس: Computer Science Applications,Education,Information Systems,Library and Information Sciences,Multidisciplinary Sciences,Statistics and Probability,Statistics, Probability and Uncertainty, Air-temperature changes, weather, st-lawrence valley, series, records, quebec, pressure, meteorological observations, dataset, canada, Zootecnia / recursos pesqueiros, Statistics, probability and uncertainty, Statistics and probability, Multidisciplinary sciences, Library and information sciences, Information systems, Education, Computer science applications, Ciencias sociales, Ciências ambientais, Biotecnología, Biodiversidade, Journal Publications
URL: http://hdl.handle.net/20.500.11797/imarina9291510
الإتاحة: Open access content. Open access content
info:eu-repo/semantics/openAccess
أرقام أخرى: RIV oai:urv.cat:imarina:9291510
1443577980
المصدر المساهم: UNIVERSITAT ROVIRA I VIRGILI BIBLIOTECA
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رقم الأكسشن: edsoai.on1443577980
قاعدة البيانات: OAIster