globalchange  > 气候变化事实与影响
DOI: 10.1175/JCLI-D-11-00570.1
Scopus记录号: 2-s2.0-84865739231
论文题名:
Assessment of regional global climate model water vapor bias and trends using Precipitable water vapor (PWV) observations from a network of global positioning satellite (GPS) receivers in the U.S. great plains and midwest
作者: Roman J.A.; Knuteson R.O.; Ackerman S.A.; Tobin D.C.; Revercomb A.H.E.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2012
卷: 25, 期:16
起始页码: 5471
结束页码: 5493
语种: 英语
Scopus关键词: Atmospheric research ; Climate record ; Community climate system model ; Global climate model ; Global positioning satellite receivers ; Global positioning system receivers ; Ground based ; Model comparison ; Model evaluation ; National Oceanic and Atmospheric Administration ; Precipitable water vapor ; Regional trends ; Scenario models ; Special report on emissions scenarios ; Specific humidity ; Vertical distributions ; Vertical profile ; Winter seasons ; Climatology ; Global positioning system ; Vapors ; Climate models ; climate modeling ; GPS ; NOAA satellite ; precipitable water ; radiosonde ; remote sensing ; water vapor ; Great Plains ; Midwest ; United States
英文摘要: Precipitable water vapor (PWV) observations from the National Center of Atmospheric Research (NCAR) SuomiNet networks of ground-based global positioning system (GPS) receivers and the National Oceanic and Atmospheric Administration (NOAA) Profiler Network (NPN) are used in the regional assessment of global climate models. Study regions in the U.S. Great Plains and Midwest highlight the differences among global climate model output from the Fourth Assessment Report (AR4) Special Report on Emissions Scenarios (SRES) A2 scenario in their seasonal representation of column water vapor and the vertical distribution of moisture. In particular, the Community Climate System model, version 3 (CCSM3) is shown to exhibit a dry bias of over 30% in the summertime water vapor column, while the Goddard Institute for Space Studies Model E20 (GISS E20) agrees well with PWV observations. A detailed assessment of vertical profiles of temperature, relative humidity, and specific humidity confirm that only GISS E20 was able to represent the summertime specific humidity profile in the atmospheric boundary layer (,3%) and thus the correct total column water vapor. All models show good agreement in the winter season for the region. Regional trends using station-elevation-corrected GPS PWV data from two complimentary networks are found to be consistent with null trends predicted in the AR4 A2 scenario model output for the period 2000-09. The time to detect (TTD) a 0.05mm yr21 PWV trend, as predicted in the A2 scenario for the period 2000- 2100, is shown to be 25-30yr with 95% confidence in the Oklahoma-Kansas region. © 2012 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/52295
Appears in Collections:气候变化事实与影响

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作者单位: Cooperative Institute for Meteorological Satellite Studies, Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI, United States

Recommended Citation:
Roman J.A.,Knuteson R.O.,Ackerman S.A.,et al. Assessment of regional global climate model water vapor bias and trends using Precipitable water vapor (PWV) observations from a network of global positioning satellite (GPS) receivers in the U.S. great plains and midwest[J]. Journal of Climate,2012-01-01,25(16)
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