| DOI: | 10.1175/JCLI-D-13-00630.1
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| Scopus记录号: | 2-s2.0-84905165587
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| 论文题名: | Climatology and variability of precipitation in the Twentieth-Century Reanalysis |
| 作者: | Lee D.E.; Biasutti M.
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| 刊名: | Journal of Climate
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| ISSN: | 8948755
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| 出版年: | 2014
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| 卷: | 27, 期:15 | | 起始页码: | 5964
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| 结束页码: | 5981
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| 语种: | 英语
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| Scopus关键词: | Rain
; Sea level
; Tropics
; Upper atmosphere
; Atmospheric general circulation models
; Climate variability
; Department of Energy
; Ensemble simulation
; Reanalysis
; Satellite observations
; Sea surface temperature (SST)
; Wintertime rainfall
; Climatology
; atmospheric convection
; atmospheric general circulation model
; climate variation
; data assimilation
; ensemble forecasting
; precipitation (climatology)
; rainfall
; sea level pressure
; sea surface temperature
; storm track
; tropical region
; twentieth century
; weather forecasting
; Sahel [Sub-Saharan Africa]
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| 英文摘要: | The performance of the Twentieth-Century Reanalysis (20CR) in reproducing observed monthly mean precipitation over the global domain is compared to that of comprehensive reanalyses that also assimilate upper-air and satellite observations [the Climate Forecast System Reanalysis (CFSR), ECMWF Interim Re-Analysis (ERA-Interim), and NCEP-U.S. Department of Energy reanalysis (NCEP2)] and to that of an atmospheric general circulation model (GCM) ensemble simulation [Global Ocean Global Atmosphere (GOGA)] that is forced with observed sea surface temperature (SST). Wintertime rainfall variability in the midlatitude continents and storm tracks is captured with great accuracy, similar to the comprehensive reanalyses, but summertime rainfall is not, probably in consequence of the greater importance of convection in the summer season. Over the tropics, the accuracy of all reanalyses is much less than over the midlatitudes. Over tropical land, the performance of 20CR is better than NCEP2 and similar to ERA-Interim and CFSR, but over the tropical oceans the most recent reanalyses perform significantly better. Across the twentieth century, the clearest gain from the assimilation of a denser observational dataset is the expansion of the area of good skill. A comparison of the accuracy and ensemble spread in the 20CR and GOGA ensembles highlights regions where SST forcing is a stronger source of skill than data assimilation for 20CR. In contrast, for some tropical regions such as the Sahel, the assimilation of sea level pressure is effective in constraining precipitation values-but model biases in the teleconnections with global SST limit the performance of 20CR. © 2014 American Meteorological Society. |
| 资助项目: | NOAA, National Oceanic and Atmospheric Administration
; NSF, National Oceanic and Atmospheric Administration
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| Citation statistics: |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/51416
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| Appears in Collections: | 气候变化事实与影响
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作者单位: | Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, United States
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| Recommended Citation: | |
Lee D.E.,Biasutti M.. Climatology and variability of precipitation in the Twentieth-Century Reanalysis[J]. Journal of Climate,2014-01-01,27(15)
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