Prospects for downscaling seasonal precipitation variability using conditioned weather generator parameters

This paper explores the use of synoptic-scale predictor variables to downscale both high- and low-frequency components of daily precipitation at sites across the British Isles. Part I investigates seasonal and inter-annual variations in three weather generator parameters with respect to concurrent v...

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Published in:Hydrological Processes
Main Authors: Wilby, R.L., Conway, D., Jones, P.
Format: Article in Journal/Newspaper
Language:unknown
Published: 2002
Subjects:
Online Access:https://ueaeprints.uea.ac.uk/id/eprint/33680/
https://doi.org/10.1002/hyp.1058
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spelling ftuniveastangl:oai:ueaeprints.uea.ac.uk:33680 2023-06-06T11:56:59+02:00 Prospects for downscaling seasonal precipitation variability using conditioned weather generator parameters Wilby, R.L. Conway, D. Jones, P. 2002 https://ueaeprints.uea.ac.uk/id/eprint/33680/ https://doi.org/10.1002/hyp.1058 unknown Wilby, R.L., Conway, D. and Jones, P. (2002) Prospects for downscaling seasonal precipitation variability using conditioned weather generator parameters. Hydrological Processes, 16 (6). pp. 1215-1234. ISSN 0885-6087 doi:10.1002/hyp.1058 Article PeerReviewed 2002 ftuniveastangl https://doi.org/10.1002/hyp.1058 2023-04-13T22:31:36Z This paper explores the use of synoptic-scale predictor variables to downscale both high- and low-frequency components of daily precipitation at sites across the British Isles. Part I investigates seasonal and inter-annual variations in three weather generator parameters with respect to concurrent variations in a North Atlantic Oscillation (NAO) index and area-average sea surface temperature (SST) anomalies. Marked spatial gradients were found in the strength of the associated correlation fields using rainfall data for the period 1961–90. For example, the persistence of winter wet-spells was most strongly correlated with the NAO index in NW Scotland, and the persistence of autumn dry-spells with SST anomalies in SE England. At such locations, North Atlantic conditioning accounted for over 40% of the inter-annual variability of precipitation occurrence. In Part II, three downscaling models were compared using independent daily precipitation data for sites located in the regions of strongest North Atlantic forcing. The parameters of Model M were implicitly conditioned by three regional airflow indices; the parameters of Model X were explicitly conditioned by either the NAO index or SST anomalies and daily vorticity; and the parameters of Model U (a three-parameter stochastic rainfall model) were unconditional. Overall, the conditional models displayed greater skill for monthly rainfall statistics relative to Model U (the control), but still did not completely remove overdispersion. On comparing Models M and X, it was evident that explicit conditioning did bestow additional advantages for the chosen sites and seasons of greatest forcing. However, further research is required to determine the generality of these results for other regions and periods of the rainfall record. Article in Journal/Newspaper North Atlantic North Atlantic oscillation University of East Anglia: UEA Digital Repository Hydrological Processes 16 6 1215 1234
institution Open Polar
collection University of East Anglia: UEA Digital Repository
op_collection_id ftuniveastangl
language unknown
description This paper explores the use of synoptic-scale predictor variables to downscale both high- and low-frequency components of daily precipitation at sites across the British Isles. Part I investigates seasonal and inter-annual variations in three weather generator parameters with respect to concurrent variations in a North Atlantic Oscillation (NAO) index and area-average sea surface temperature (SST) anomalies. Marked spatial gradients were found in the strength of the associated correlation fields using rainfall data for the period 1961–90. For example, the persistence of winter wet-spells was most strongly correlated with the NAO index in NW Scotland, and the persistence of autumn dry-spells with SST anomalies in SE England. At such locations, North Atlantic conditioning accounted for over 40% of the inter-annual variability of precipitation occurrence. In Part II, three downscaling models were compared using independent daily precipitation data for sites located in the regions of strongest North Atlantic forcing. The parameters of Model M were implicitly conditioned by three regional airflow indices; the parameters of Model X were explicitly conditioned by either the NAO index or SST anomalies and daily vorticity; and the parameters of Model U (a three-parameter stochastic rainfall model) were unconditional. Overall, the conditional models displayed greater skill for monthly rainfall statistics relative to Model U (the control), but still did not completely remove overdispersion. On comparing Models M and X, it was evident that explicit conditioning did bestow additional advantages for the chosen sites and seasons of greatest forcing. However, further research is required to determine the generality of these results for other regions and periods of the rainfall record.
format Article in Journal/Newspaper
author Wilby, R.L.
Conway, D.
Jones, P.
spellingShingle Wilby, R.L.
Conway, D.
Jones, P.
Prospects for downscaling seasonal precipitation variability using conditioned weather generator parameters
author_facet Wilby, R.L.
Conway, D.
Jones, P.
author_sort Wilby, R.L.
title Prospects for downscaling seasonal precipitation variability using conditioned weather generator parameters
title_short Prospects for downscaling seasonal precipitation variability using conditioned weather generator parameters
title_full Prospects for downscaling seasonal precipitation variability using conditioned weather generator parameters
title_fullStr Prospects for downscaling seasonal precipitation variability using conditioned weather generator parameters
title_full_unstemmed Prospects for downscaling seasonal precipitation variability using conditioned weather generator parameters
title_sort prospects for downscaling seasonal precipitation variability using conditioned weather generator parameters
publishDate 2002
url https://ueaeprints.uea.ac.uk/id/eprint/33680/
https://doi.org/10.1002/hyp.1058
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation Wilby, R.L., Conway, D. and Jones, P. (2002) Prospects for downscaling seasonal precipitation variability using conditioned weather generator parameters. Hydrological Processes, 16 (6). pp. 1215-1234. ISSN 0885-6087
doi:10.1002/hyp.1058
op_doi https://doi.org/10.1002/hyp.1058
container_title Hydrological Processes
container_volume 16
container_issue 6
container_start_page 1215
op_container_end_page 1234
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