Seasonal streamflow forecast: a GCM multi-model downscaling approach
Foster, Kean L. and Bertacchi Uvo, Cintia LU
(2010)
In Hydrology Research
41(6).
p.503-507
- Abstract
- This work investigates the predictability of seasonal to inter-annual streamflow over several river basins in Norway through the use of multi-model ensembles. As general circulation models (GCMs) do not explicitly simulate streamflow, a statistical link is made between GCM-forecast fields generated in December and average streamflow in the melting season May-June. By using the Climate Predictability Tool (CPT) three models were constructed and from these a multi-model was built. The multi-model forecast is tested against climatology to determine the quality of the forecast. Results from the forecasts show that the multi-model performs better than the individual models and that this method shows improved forecast skills if compared to... (More)
- This work investigates the predictability of seasonal to inter-annual streamflow over several river basins in Norway through the use of multi-model ensembles. As general circulation models (GCMs) do not explicitly simulate streamflow, a statistical link is made between GCM-forecast fields generated in December and average streamflow in the melting season May-June. By using the Climate Predictability Tool (CPT) three models were constructed and from these a multi-model was built. The multi-model forecast is tested against climatology to determine the quality of the forecast. Results from the forecasts show that the multi-model performs better than the individual models and that this method shows improved forecast skills if compared to previous studies conducted in the same basins. The highest forecast skills are found for basins located in the southwest of Norway. The physical interpretation for this is that stations on the windward side of the Scandinavian mountains are exposed to the prevailing winds from the Atlantic Ocean, a principal source of predictive information from the atmosphere on this timescale. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1727149
- author
- Foster, Kean L.
and Bertacchi Uvo, Cintia
LU
- organization
- publishing date
- 2010
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- downscaling, canonical correlation analysis, climate predictability tool, general circulation model
- in
- Hydrology Research
- volume
- 41
- issue
- 6
- pages
- 503 - 507
- publisher
- IWA Publishing
- external identifiers
-
- wos:000282363300006
- scopus:78651062626
- ISSN
- 1998-9563
- DOI
- 10.2166/nh.2010.143
- language
- English
- LU publication?
- yes
- id
- aeb07a2e-3b1a-4f8e-840a-5d08a999fe64 (old id 1727149)
- date added to LUP
- 2016-04-01 10:28:14
- date last changed
- 2022-01-25 23:31:56
@article{aeb07a2e-3b1a-4f8e-840a-5d08a999fe64,
abstract = {{This work investigates the predictability of seasonal to inter-annual streamflow over several river basins in Norway through the use of multi-model ensembles. As general circulation models (GCMs) do not explicitly simulate streamflow, a statistical link is made between GCM-forecast fields generated in December and average streamflow in the melting season May-June. By using the Climate Predictability Tool (CPT) three models were constructed and from these a multi-model was built. The multi-model forecast is tested against climatology to determine the quality of the forecast. Results from the forecasts show that the multi-model performs better than the individual models and that this method shows improved forecast skills if compared to previous studies conducted in the same basins. The highest forecast skills are found for basins located in the southwest of Norway. The physical interpretation for this is that stations on the windward side of the Scandinavian mountains are exposed to the prevailing winds from the Atlantic Ocean, a principal source of predictive information from the atmosphere on this timescale.}},
author = {{Foster, Kean L. and Bertacchi Uvo, Cintia}},
issn = {{1998-9563}},
keywords = {{downscaling; canonical correlation analysis; climate predictability tool; general circulation model}},
language = {{eng}},
number = {{6}},
pages = {{503--507}},
publisher = {{IWA Publishing}},
series = {{Hydrology Research}},
title = {{Seasonal streamflow forecast: a GCM multi-model downscaling approach}},
url = {{http://dx.doi.org/10.2166/nh.2010.143}},
doi = {{10.2166/nh.2010.143}},
volume = {{41}},
year = {{2010}},
}