DOI: 10.1175/JCLI-D-17-0376.1
Scopus记录号: 2-s2.0-85041945618
论文题名: Relationships of rainy season precipitation and temperature to climate indices in California: Long-Term variability and extreme events
作者: Liu Y.-C. ; Di P. ; Chen S.-H. ; DaMassa J.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期: 5 起始页码: 1921
结束页码: 1942
语种: 英语
英文关键词: Climate variability
; Extreme events
; Precipitation
; Temperature
Scopus关键词: Climate change
; Precipitation (chemical)
; Precipitation (meteorology)
; Regression analysis
; Temperature
; Climate variability
; Extreme events
; Long-term variability
; Minimum temperatures
; Pacific decadal oscillation
; Precipitation variability
; Tropical/northern hemispheres
; Tropospheric temperature
; Climatology
; climate change
; climate modeling
; climate variation
; extreme event
; hydrological response
; Northern Hemisphere
; Pacific Decadal Oscillation
; precipitation intensity
; rainfall
; regression analysis
; seasonal variation
; temperature profile
; weather forecasting
; California
; Pacific Ocean
; Pacific Ocean (East)
; Pacific Ocean (North)
; United States
英文摘要: To better understand the change in California's climate over the past century, the long-term variability and extreme events of precipitation as well as minimum, mean, and maximum temperatures during the rainy season (from November to March) are investigated using observations. Their relationships to 28 rainy season average climate indices with and without time lags are also studied. The precipitation variability is found to be highly correlated with the tropical/Northern Hemisphere pattern (TNH) index at zero time lag with the highest correlation in Northern California and the Sierra and the correlation decreasing southward. This is an important finding because there have been no conclusive studies on the dominant climate modes that modulate precipitation variability in Northern California. It is found that the TNH modulates California precipitation variability through the development of a positive (negative) height anomaly and its associated low-level moisture fluxes over the northeast Pacific Ocean during the positive (negative) TNH phase. Temperature fields, especially minimum temperature, are found to be primarily modulated by the east Pacific/North Pacific pattern, Pacific decadal oscillation, North Pacific pattern, and Pacific-North American pattern at zero time lag via changes in the lower-tropospheric temperature advections. Regression analysis suggests a combination of important climate indices would improve predictability for precipitation and minimum temperature statewide and subregionally compared to the use of a single climate index. While California's precipitation currently is primarily projected by ENSO, this study suggests that using the combination of the TNH and ENSO indices results in better predictability than using ENSO indices only. © 2018 American Meteorological Society.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/111619
Appears in Collections: 气候减缓与适应
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作者单位: Air Resources Board, California Environmental Protection Agency, Sacramento, CA, United States; Department of Land, Air and Water Resources, University of California, Davis, Davis, CA, United States
Recommended Citation:
Liu Y.-C.,Di P.,Chen S.-H.,et al. Relationships of rainy season precipitation and temperature to climate indices in California: Long-Term variability and extreme events[J]. Journal of Climate,2018-01-01,31(5)