DOI: 10.1002/2017MS001050
Scopus记录号: 2-s2.0-85034237955
论文题名: Toward a New UV Index Diagnostic in the Met Office's Forecast Model
作者: Turner E ; C ; , Manners J ; , Morcrette C ; J ; , O'Hagan J ; B ; , Smedley A ; R ; D
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 7 起始页码: 2654
结束页码: 2671
语种: 英语
英文关键词: Cams
; Ozone
; Radiative transfer
; Compensating errors
; FORECAST model
; Ozone concentration
; Radiative transfer calculations
; Spectral observations
; Spectral parameters
; United kingdom
; UV index
; Weather forecasting
; aerosol
; climate modeling
; concentration (composition)
; index method
; ozone
; radiative transfer
; solar radiation
; summer
; ultraviolet radiation
; weather forecasting
; United Kingdom
英文摘要: The United Kingdom sporadically experiences low ozone events in the spring which can increase UV to harmful levels and is particularly dangerous as sunburn is not expected by the public at this time of year. This study investigates the benefits to the UV Index diagnostic produced by the UM at the Met Office of including either, or both of, a more highly resolved spectrum, and forecasted ozone profiles from the ECMWF CAMS database. Two new configurations of the spectral parameters governing the radiative transfer calculation over the UV region are formulated using the correlated-k method to give surface fluxes that are within 0.1 UV Index of an accurate reference scheme. Clear-sky comparisons of modeled fluxes with ground-based spectral observations at two UK sites (Reading and Chilton) between 2011 and 2015 show that when raw CAMS ozone profiles are included noontime UV indices are always overestimated, by up to 3 UV indices at a low ozone event and up to 1.5 on a clear summer day, suggesting CAMS ozone concentrations are too low. The new spectral parameterizations reduce UV Index biases, apart from when combined with ozone profiles that are significantly underestimated. When the same biases are examined spectrally across the UV region some low biases on low ozone days are found to be the result of compensating errors in different parts of the spectrum. Aerosols are postulated to be an additional source of error if their actual concentrations are higher than those modeled. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75708
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Met Office, Exeter, United Kingdom; Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Centre for Radiation, Chilton, United Kingdom; Centre for Atmospheric Science, School for Earth and Environmental Sciences, University of Manchester, Manchester, United Kingdom
Recommended Citation:
Turner E,C,, Manners J,et al. Toward a New UV Index Diagnostic in the Met Office's Forecast Model[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(7)