Toward a New UV Index Diagnostic in the Met Office's Forecast Model

E. C. Turner*, J. Manners, C. J. Morcrette, Jacqueline O'Hagan, A. R.D. Smedley

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)2654-2671
Number of pages18
JournalJournal of Advances in Modeling Earth Systems
Volume9
Issue number7
DOIs
Publication statusPublished - Nov 2017

Keywords

  • UV Index
  • ozone
  • radiative transfer
  • weather forecast

Fingerprint

Dive into the research topics of 'Toward a New UV Index Diagnostic in the Met Office's Forecast Model'. Together they form a unique fingerprint.

Cite this