DOI: 10.1175/JCLI-D-11-00380.1
Scopus记录号: 2-s2.0-84874794167
论文题名: Atmosphere-land surface interactions over the southern great plains: Characterization from pentad analysis of DOE ARM field observations and NARR
作者: Ruiz-Barradas A. ; Nigam S.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2013
卷: 26, 期: 3 起始页码: 875
结束页码: 886
语种: 英语
Scopus关键词: Atmospheric radiation measurement programs
; Department of Energy
; Field observations
; In-depth investigation
; Intercomparisons
; Land surface
; Long waves
; Moisture flux convergences
; Moisture/moisture budgets
; Monthly scale
; North America
; North American
; Pentad analysis
; Precipitation episodes
; Precipitation variability
; Radiation budget
; Reanalysis
; Regional precipitation variability
; Regional water balance
; Short-wave radiation
; Southern great plains
; Surface interactions
; Surface radiation
; Synoptic variability
; Temporal scale
; Terrestrial radiation
; Time-scales
; Water balance
; Water budget
; Digital storage
; Evapotranspiration
; Feedback
; Infrared radiation
; Precipitation (chemical)
; Precipitation (meteorology)
; Soil moisture
; Surface measurement
; Water supply
; Lasers
; atmosphere-biosphere interaction
; climate feedback
; data assimilation
; evapotranspiration
; land surface
; longwave radiation
; moisture flux
; precipitation (climatology)
; radiation budget
; shortwave radiation
; soil moisture
; synoptic meteorology
; water budget
; Great Plains
英文摘要: The Department of Energy Atmospheric Radiation Measurement Program (ARM) Southern Great Plains (SGP) site data are analyzed to provide insight into atmosphere-land surface interactions generating summertime precipitation variability. Pentad-averaged (5 days) data are analyzed; the average is long enough to suppress synoptic variability but sufficiently short to resolve atmosphere-land surface interactions. Intercomparison with the precipitation-assimilating North American Regional Reanalysis (NARR) helps with in-depth investigation of the processes. The analysis seeks to ascertain the process sequence, especially the role of evapotranspiration and soil-moisture-radiation feedbacks in the generation of regional precipitation variability at this temporal scale. Transported moisture dominates over evapotranspiration in precipitation variability over the region, from both magnitude of the contribution to regional water balance and its apparent temporal lead at pentad resolution. Antecedent and contemporaneous evapotranspiration are found to be negatively correlated with precipitation, albeit statistically insignificant; only lagging correlations are positive, peaking at 2-pentad lag following precipitation, substantiating the authors' characterization of the water balance over SGP, and extending the authors' previous findings on the dominance of moisture flux convergence in generating precipitation variability at monthly scales. Precipitation episodes are linked with net negative surface radiation anomalies (i.e., with an energydeprived land surface state that cannot fuel evapotranspiration), ruling out radiatively driven positive feedback on precipitation. Although the net longwave signal is positive because of a colder land surface (less upward terrestrial radiation), it is more than offset by the cloudiness-related reduction in downward shortwave radiation. Thus, ARM (NARR) data do not support the soil-moisture-precipitation feedback hypothesis over the SGP at pentad time scales; however, it may work at subpentad resolution and over other regions. © 2013 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/52026
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Atmospheric and Oceanic Science, University of Maryland, College Park, College Park, MD, United States; Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States
Recommended Citation:
Ruiz-Barradas A.,Nigam S.. Atmosphere-land surface interactions over the southern great plains: Characterization from pentad analysis of DOE ARM field observations and NARR[J]. Journal of Climate,2013-01-01,26(3)