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contributor authorWong, Sun
contributor authorL’Ecuyer, Tristan S.
contributor authorOlson, William S.
contributor authorJiang, Xianan
contributor authorFetzer, Eric J.
date accessioned2017-06-09T17:08:24Z
date available2017-06-09T17:08:24Z
date copyright2014/01/01
date issued2013
identifier issn0894-8755
identifier otherams-79993.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4222834
description abstracthe authors quantify systematic differences between modern observation- and reanalysis-based estimates of atmospheric heating rates and identify dominant variability modes over tropical oceans. Convergence of heat fluxes between the top of the atmosphere and the surface are calculated over the oceans using satellite-based radiative and sensible heat fluxes and latent heating from precipitation estimates. The convergence is then compared with column-integrated atmospheric heating based on Tropical Rainfall Measuring Mission data as well as the heating calculated using temperatures from the Atmospheric Infrared Sounder and wind fields from the Modern-Era Retrospective Analysis for Research and Applications (MERRA). Corresponding calculations using MERRA and the European Centre for Medium-Range Weather Forecasts Interim Re-Analysis heating rates and heat fluxes are also performed. The geographical patterns of atmospheric heating rates show heating regimes over the intertropical convergence zone and summertime monsoons and cooling regimes over subsidence areas in the subtropical oceans. Compared to observation-based datasets, the reanalyses have larger atmospheric heating rates in heating regimes and smaller cooling rates in cooling regimes. For the averaged heating rates over the oceans in 40°S?40°N, the observation-based datasets have net atmospheric cooling rates (from ?15 to ?22 W m?2) compared to the reanalyses net warming rates (5.0?5.2 W m?2). This discrepancy implies different pictures of atmospheric heat transport. Wavelet spectra of atmospheric heating rates show distinct maxima of variability in annual, semiannual, and/or intraseasonal time scales. In regimes where deep convection frequently occurs, variability is mainly driven by latent heating. In the subtropical subsidence areas, variability in radiative heating is comparable to that in latent heating.
publisherAmerican Meteorological Society
titleLocal Balance and Variability of Atmospheric Heat Budget over Oceans: Observation and Reanalysis-Based Estimates
typeJournal Paper
journal volume27
journal issue2
journal titleJournal of Climate
identifier doi10.1175/JCLI-D-13-00143.1
journal fristpage893
journal lastpage913
treeJournal of Climate:;2013:;volume( 027 ):;issue: 002
contenttypeFulltext


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