Energetics of interannual temperature variability

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http://hdl.handle.net/10138/303626

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Räisänen , J 2019 , ' Energetics of interannual temperature variability ' , Climate dynamics : observational, theoretical and computational research on the climate system , vol. 52 , no. 5-6 , pp. 3139-3156 . https://doi.org/10.1007/s00382-018-4306-0

Julkaisun nimi: Energetics of interannual temperature variability
Tekijä: Räisänen, Jouni
Muu tekijä: University of Helsinki, Institute for Atmospheric and Earth System Research (INAR)
Päiväys: 2019-03
Kieli: eng
Sivumäärä: 18
Kuuluu julkaisusarjaan: Climate dynamics : observational, theoretical and computational research on the climate system
ISSN: 0930-7575
URI: http://hdl.handle.net/10138/303626
Tiivistelmä: Energetics of interannual temperature variability in the years 1980-2016 is studied using two reanalysis data sets. Monthly temperature anomalies are decomposed to contributions from the net surface energy flux, atmospheric energy convergence minus storage (CONV), and processes that affect the top-of-the-atmosphere radiation balance. The analysis reveals a strong compensation between the net surface heat flux and CONV over the ice-free oceans, with the former driving the temperature variability over the tropical oceans and the latter at higher latitudes. CONV also makes a dominant contribution to temperature anomalies in the winter hemisphere extratopical continents. During the summer half-year and in the tropics, however, variations in cloudiness dominate the temperature variability over land, while the contribution of CONV is modest or even negative. The latter reflects the diffusion-like behaviour of short-term atmospheric variability, which acts to spread out the local, to a large extent cloud-induced temperature anomalies to larger areas. The ERA-Interim and MERRA2 reanalyses largely agree on the general energy budget features of interannual temperature variability, although substantial quantitative differences occur in some of the individual terms.
Avainsanat: Temperature variability
Energy budget
Reanalysis
ERA-Interim
MERRA2
114 Physical sciences
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