Improved seasonal prediction of UK regional precipitation using atmospheric circulation. (14th December 2017)
- Record Type:
- Journal Article
- Title:
- Improved seasonal prediction of UK regional precipitation using atmospheric circulation. (14th December 2017)
- Main Title:
- Improved seasonal prediction of UK regional precipitation using atmospheric circulation
- Authors:
- Baker, L. H.
Shaffrey, L. C.
Scaife, A. A. - Abstract:
- ABSTRACT: The aim of this study is to further our understanding of whether skilful seasonal forecasts of the large‐scale atmospheric circulation can be downscaled to provide skilful seasonal forecasts of regional precipitation. A simple multiple linear regression model is developed to describe winter precipitation variability in nine UK regions. The model for each region is a linear combination of two mean sea‐level pressure (MSLP)‐based indices which are derived from the MSLP correlation patterns for precipitation in northwest Scotland and southeast England. The first index is a pressure dipole, similar to the North Atlantic Oscillation but shifted to the east; the second index is the MSLP anomaly centred over the UK. The multiple linear regression model describes up to 76% of the observed precipitation variability in each region and gives higher correlations with precipitation than using either of the two indices alone. The Met Office's seasonal forecast system (GloSea5) is found to have significant skill in forecasting the two MSLP indices for the winter season, in forecasts initialized around the start of November. Applying the multiple linear regression model to the GloSea5 hindcasts is shown to give improved skill over the precipitation forecast by the GloSea5, with the largest improvement in Scotland. Abstract : A simple multiple linear regression model is developed to relate atmospheric circulation patterns to UK regional winter precipitation. This is applied toABSTRACT: The aim of this study is to further our understanding of whether skilful seasonal forecasts of the large‐scale atmospheric circulation can be downscaled to provide skilful seasonal forecasts of regional precipitation. A simple multiple linear regression model is developed to describe winter precipitation variability in nine UK regions. The model for each region is a linear combination of two mean sea‐level pressure (MSLP)‐based indices which are derived from the MSLP correlation patterns for precipitation in northwest Scotland and southeast England. The first index is a pressure dipole, similar to the North Atlantic Oscillation but shifted to the east; the second index is the MSLP anomaly centred over the UK. The multiple linear regression model describes up to 76% of the observed precipitation variability in each region and gives higher correlations with precipitation than using either of the two indices alone. The Met Office's seasonal forecast system (GloSea5) is found to have significant skill in forecasting the two MSLP indices for the winter season, in forecasts initialized around the start of November. Applying the multiple linear regression model to the GloSea5 hindcasts is shown to give improved skill over the precipitation forecast by the GloSea5, with the largest improvement in Scotland. Abstract : A simple multiple linear regression model is developed to relate atmospheric circulation patterns to UK regional winter precipitation. This is applied to seasonal hindcasts of mean sea‐level pressure and shown to provide skilful hindcasts of UK regional precipitation, with the largest improvement in western Scotland. … (more)
- Is Part Of:
- International journal of climatology. Volume 38(2018)Supplement 1
- Journal:
- International journal of climatology
- Issue:
- Volume 38(2018)Supplement 1
- Issue Display:
- Volume 38, Issue 1 (2018)
- Year:
- 2018
- Volume:
- 38
- Issue:
- 1
- Issue Sort Value:
- 2018-0038-0001-0000
- Page Start:
- e437
- Page End:
- e453
- Publication Date:
- 2017-12-14
- Subjects:
- precipitation -- atmospheric circulation -- seasonal forecasting -- downscaling
Climatology -- Periodicals
Climat -- Périodiques
Climatologie -- Périodiques
551.605 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/joc.5382 ↗
- Languages:
- English
- ISSNs:
- 0899-8418
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.168000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 9186.xml