NDLI: Statistical downscaling of daily precipitation over Sweden using GCM output

Content Provider	Springer Nature Link
Author	Wetterhall, Fredrik Bárdossy, András Chen, Deliang Halldin, Sven Xu, Chong yu
Copyright Year	2008
Abstract	A classification of Swedish weather patterns (SWP) was developed by applying a multi-objective fuzzy-rule-based classification method (MOFRBC) to large-scale-circulation predictors in the context of statistical downscaling of daily precipitation at the station level. The predictor data was mean sea level pressure (MSLP) and geopotential heights at 850 (H850) and 700 hPa (H700) from the NCEP/NCAR reanalysis and from the HadAM3 GCM. The MOFRBC was used to evaluate effects of two future climate scenarios (A2 and B2) on precipitation patterns on two regions in south-central and northern Sweden. The precipitation series were generated with a stochastic, autoregressive model conditioned on SWP. H850 was found to be the optimum predictor for SWP, and SWP could be used instead of local classifications with little information lost. The results in the climate projection indicated an increase in maximum 5-day precipitation and precipitation amount on a wet day for the scenarios A2 and B2 for the period 2070–2100 compared to 1961–1990. The relative increase was largest in the northern region and could be attributed to an increase in the specific humidity rather than to changes in the circulation patterns.
Starting Page	95
Ending Page	103
Page Count	9
File Format	PDF
ISSN	0177798X
Journal	Theoretical and Applied Climatology
Volume Number	96
Issue Number	1-2
e-ISSN	14344483
Language	English
Publisher	Springer Vienna
Publisher Date	2008-05-22
Publisher Place	Vienna
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution Climate Change Atmospheric Protection/Air Quality Control/Air Pollution Meteorology/Climatology
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science

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