DOI: 10.1007/s00382-015-2845-1
Scopus记录号: 2-s2.0-84944570053
论文题名: Downscaling humidity with Localized Constructed Analogs (LOCA) over the conterminous United States
作者: Pierce D.W. ; Cayan D.R.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 47, 期: 2017-01-02 起始页码: 411
结束页码: 431
语种: 英语
英文关键词: Climate modeling
; Hydrology
; Statistical downscaling
英文摘要: Humidity is important to climate impacts in hydrology, agriculture, ecology, energy demand, and human health and comfort. Nonetheless humidity is not available in some widely-used archives of statistically downscaled climate projections for the western U.S. In this work the Localized Constructed Analogs (LOCA) statistical downscaling method is used to downscale specific humidity to a 1°/16° grid over the conterminous U.S. and the results compared to observations. LOCA reproduces observed monthly climatological values with a mean error of ~0.5 % and RMS error of ~2 %. Extreme (1-day in 1- and 20-years) maximum values (relevant to human health and energy demand) are within ~5 % of observed, while extreme minimum values (relevant to agriculture and wildfire) are within ~15 %. The asymmetry between extreme maximum and minimum errors is largely due to residual errors in the bias correction of extreme minimum values. The temporal standard deviations of downscaled daily specific humidity values have a mean error of ~1 % and RMS error of ~3 %. LOCA increases spatial coherence in the final downscaled field by ~13 %, but the downscaled coherence depends on the spatial coherence in the data being downscaled, which is not addressed by bias correction. Temporal correlations between daily, monthly, and annual time series of the original and downscaled data typically yield values >0.98. LOCA captures the observed correlations between temperature and specific humidity even when the two are downscaled independently. © 2015, Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53635
Appears in Collections: 过去全球变化的重建
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作者单位: Division of Climate, Atmospheric Sciences, and Physical Oceanography, Scripps Institution of Oceanography, La Jolla, CA, United States; U.S. Geological Survey, La Jolla, CA, United States
Recommended Citation:
Pierce D.W.,Cayan D.R.. Downscaling humidity with Localized Constructed Analogs (LOCA) over the conterminous United States[J]. Climate Dynamics,2016-01-01,47(2017-01-02)