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Observational estimation of radiative feedback to surface air temperature over Northern High Latitudes

Title
Observational estimation of radiative feedback to surface air temperature over Northern High Latitudes
Authors
Hwang J.Choi Y.-S.Kim W.Su H.Jiang J.H.
Ewha Authors
최용상
SCOPUS Author ID
최용상scopus
Issue Date
2017
Journal Title
Climate Dynamics
ISSN
0930-7575JCR Link
Citation
pp. 1 - 14
Keywords
High-latitude climate feedbackLocal radiative feedbackObservational estimates of feedbackRadiative kernel
Publisher
Springer Verlag
Indexed
SCI; SCIE; SCOPUS scopus
Abstract
The high-latitude climate system contains complicated, but largely veiled physical feedback processes. Climate predictions remain uncertain, especially for the Northern High Latitudes (NHL; north of 60°N), and observational constraint on climate modeling is vital. This study estimates local radiative feedbacks for NHL based on the CERES/Terra satellite observations during March 2000–November 2014. The local shortwave (SW) and longwave (LW) radiative feedback parameters are calculated from linear regression of radiative fluxes at the top of the atmosphere on surface air temperatures. These parameters are estimated by the de-seasonalization and 12-month moving average of the radiative fluxes over NHL. The estimated magnitudes of the SW and the LW radiative feedbacks in NHL are 1.88 ± 0.73 and 2.38 ± 0.59 W m−2 K−1, respectively. The parameters are further decomposed into individual feedback components associated with surface albedo, water vapor, lapse rate, and clouds, as a product of the change in climate variables from ERA-Interim reanalysis estimates and their pre-calculated radiative kernels. The results reveal the significant role of clouds in reducing the surface albedo feedback (1.13 ± 0.44 W m−2 K−1 in the cloud-free condition, and 0.49 ± 0.30 W m−2 K−1 in the all-sky condition), while the lapse rate feedback is predominant in LW radiation (1.33 ± 0.18 W m−2 K−1). However, a large portion of the local SW and LW radiative feedbacks were not simply explained by the sum of these individual feedbacks. © 2017 Springer-Verlag Berlin Heidelberg
DOI
10.1007/s00382-017-3629-6
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엘텍공과대학 > 환경공학전공 > Journal papers
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