gchange  > 影响、适应和脆弱性
DOI: 10.1175/JCLI-D-17-0862.1
Scopus ID: 2-s2.0-85054079548
Title:
Assessing the coupled influences of clouds on the atmospheric energy and water cycles in reanalyses with a-train observations
Author: Daloz A.S.; Nelson E.; L'Ecuyer T.; Rapp A.D.; Sun L.
Source Publication: Journal of Climate
ISSN: 8948755
Indexed By: SCI ; SCI-E ; EI
Publishing Year: 2018
Volume: 31, Issue:20
pages begin: 8241
pages end: 8264
Language: 英语
Keyword: Climatology ; Clouds ; Radiative fluxes ; Satellite observations
Scopus Keyword: Climatology ; Clouds ; Earth (planet) ; Weather forecasting ; European centre for medium-range weather forecasts ; Global distribution ; Precipitating clouds ; Radiative efficiency ; Radiative fluxes ; Research and application ; Retrospective analysis ; Satellite observations ; Precipitation (meteorology)
English Abstract: The lack of complete knowledge concerning the complex interactions among clouds, circulation, and climate hinders our ability to simulate the Earth's climate correctly. This study contributes to a broader understanding of the implications of cloud and precipitation biases on the representation of coupled energy and water exchanges by bringing together a suite of cloud impact parameters (CIPs). These parameters measure the coupled impact of cloud systems on regional energy balance and hydrology by simultaneously capturing the absolute strength of the cloud albedo and greenhouse effects, the relative importance of these two radiative effects, and the efficiency of precipitating clouds to radiatively heat the atmosphere and cool the surface per unit of heating through rain production. Global distribution of these CIPs is derived using satellite observations from CloudSat and used to evaluate energy and water cycle coupling in four reanalysis datasets [both versions of the Modern-Era Retrospective Analysis for Research and Applications (MERRA and MERRA-2); the European Centre for Medium-Range Weather Forecasts (ECMWF) interim reanalysis (ERA-Interim); and the Japanese 55-year Reanalysis (JRA-55)]. The results show that the reanalyses provide a more accurate representation of the three radiation-centric parameters than the radiative efficiencies. Of the four reanalyses, MERRA and ERA-Interim provide the best overall representation of the different cloud processes but can still show significant biases. JRA-55 exhibits some clear deficiencies in many parameters, while MERRA-2 seems to introduce biases that were not evident in MERRA. © 2018 American Meteorological Society.
Citation statistics:
Document Type: 期刊论文
Identifier: http://119.78.100.177/globalchange/handle/2HF3EXSE/110637
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

Files in This Item:

There are no files associated with this item.


Affiliation: Space and Science Engineering Center, University of Wisconsin-Madison, Madison, WI, United States; Center for Climatic Research, University of Wisconsin-Madison, Madison, WI, United States; Atmospheric and Oceanic Sciences Department, University of Wisconsin-Madison, Madison, WI, United States; Department of Atmospheric Sciences, Texas A and M University, College Station, TX, United States

Recommended Citation:
Daloz A.S.,Nelson E.,L'Ecuyer T.,et al. Assessing the coupled influences of clouds on the atmospheric energy and water cycles in reanalyses with a-train observations[J]. Journal of Climate,2018-01-01,31(20)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Daloz A.S.]'s Articles
[Nelson E.]'s Articles
[L'Ecuyer T.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Daloz A.S.]'s Articles
[Nelson E.]'s Articles
[L'Ecuyer T.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Daloz A.S.]‘s Articles
[Nelson E.]‘s Articles
[L'Ecuyer T.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.