On the min–max estimation of mean daily temperatures

Autor:	Xinnong Pan, Anastasios A. Tsonis, Geli Wang, Catherine Nicolis
Rok vydání:	2019
Předmět:	Atmospheric Science Amplitude 010504 meteorology & atmospheric sciences Simple (abstract algebra) Climatology Mathematical analysis Mean radiant temperature 010502 geochemistry & geophysics 01 natural sciences 0105 earth and related environmental sciences Mathematics
Zdroj:	Climate Dynamics. 53:1981-1989
ISSN:	1432-0894 0930-7575
DOI:	10.1007/s00382-019-04757-6
Popis:	Modern data analyses of hourly temperature records reveal the existence, in addition to the daily cycle, of multiple forcings of different frequencies. As a result the routine approach of estimating daily local mean temperature directly from the average of the minimum and maximum is heavily compromised. A simple dynamical model subjected to two periodic forcings of different frequencies, amplitudes and phases is solved analytically and shown to induce substantial deviations from the min–max method that depend crucially on the values of the parameters involved.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c9ecce958533041139333f92318669a7 https://doi.org/10.1007/s00382-019-04757-6 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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