Improving seasonal forecast through the state of large-scale climate signals

Increasingly uncertain hydrologic regimes are challenging water systems management worldwide, emphasizing the need of accurate medium- to long-term predictions to timely prompt anticipatory operations. In fact, forecasts are usually skillful over short lead time (from hours to days), but predictabil...

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Main Authors: SAMALE, CHIARA LUCIA, GIULIANI, MATTEO, CASTELLETTI, ANDREA FRANCESCO, Zimmerman, B., Block, P.
Other Authors: Samale, CHIARA LUCIA, Giuliani, Matteo, Castelletti, ANDREA FRANCESCO
Format: Conference Object
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/11311/1029245
http://meetingorganizer.copernicus.org/EGU2017/EGU2017-12779.pdf
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spelling ftpolimilanoiris:oai:re.public.polimi.it:11311/1029245 2024-01-07T09:45:12+01:00 Improving seasonal forecast through the state of large-scale climate signals SAMALE, CHIARA LUCIA GIULIANI, MATTEO CASTELLETTI, ANDREA FRANCESCO Zimmerman, B. Block, P. Samale, CHIARA LUCIA Zimmerman, B. Giuliani, Matteo Castelletti, ANDREA FRANCESCO Block, P. 2017 http://hdl.handle.net/11311/1029245 http://meetingorganizer.copernicus.org/EGU2017/EGU2017-12779.pdf eng eng ispartofbook:EGU General Assembly Conference Abstracts European Geosciences Union General Assembly 2017 volume:19 firstpage:12779 lastpage:12779 numberofpages:1 http://hdl.handle.net/11311/1029245 http://meetingorganizer.copernicus.org/EGU2017/EGU2017-12779.pdf info:eu-repo/semantics/closedAccess info:eu-repo/semantics/conferenceObject 2017 ftpolimilanoiris 2023-12-13T17:52:48Z Increasingly uncertain hydrologic regimes are challenging water systems management worldwide, emphasizing the need of accurate medium- to long-term predictions to timely prompt anticipatory operations. In fact, forecasts are usually skillful over short lead time (from hours to days), but predictability tends to decrease on longer lead times. The forecast lead time might be extended by using climate teleconnection, such as El Nino Southern Oscillation (ENSO). Despite the ENSO teleconnection is well defined in some locations such as Western USA and Australia, there is no consensus on how it can be detected and used in other river basins, particularly in Europe, Africa, and Asia. In this work, we propose the use of the Nino Index Phase Analysis for capturing the state of multiple large-scale climate signals (i.e. ENSO, North Atlantic Oscillation, Pacific Decadal Oscillation, Atlantic Multidecadal Oscillation, Dipole Mode Index). This climate state information is used for distinguishing the different phases of the climate signals and for identifying relevant teleconnections between the observations of Sea Surface Temperature (SST) that mostly influence the local hydrologic conditions. The framework is applied to the Lake Como system, a regulated lake in northern Italy which is mainly operated for flood control and irrigation supply. Preliminary results show high correlations between SST and three to six months ahead precipitation in the Lake Como basin. This forecast represents a valuable information to partially anticipate the summer water availability, ultimately supporting the improvement of the Lake Como operations. Conference Object North Atlantic North Atlantic oscillation RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano Pacific
institution Open Polar
collection RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano
op_collection_id ftpolimilanoiris
language English
description Increasingly uncertain hydrologic regimes are challenging water systems management worldwide, emphasizing the need of accurate medium- to long-term predictions to timely prompt anticipatory operations. In fact, forecasts are usually skillful over short lead time (from hours to days), but predictability tends to decrease on longer lead times. The forecast lead time might be extended by using climate teleconnection, such as El Nino Southern Oscillation (ENSO). Despite the ENSO teleconnection is well defined in some locations such as Western USA and Australia, there is no consensus on how it can be detected and used in other river basins, particularly in Europe, Africa, and Asia. In this work, we propose the use of the Nino Index Phase Analysis for capturing the state of multiple large-scale climate signals (i.e. ENSO, North Atlantic Oscillation, Pacific Decadal Oscillation, Atlantic Multidecadal Oscillation, Dipole Mode Index). This climate state information is used for distinguishing the different phases of the climate signals and for identifying relevant teleconnections between the observations of Sea Surface Temperature (SST) that mostly influence the local hydrologic conditions. The framework is applied to the Lake Como system, a regulated lake in northern Italy which is mainly operated for flood control and irrigation supply. Preliminary results show high correlations between SST and three to six months ahead precipitation in the Lake Como basin. This forecast represents a valuable information to partially anticipate the summer water availability, ultimately supporting the improvement of the Lake Como operations.
author2 Samale, CHIARA LUCIA
Zimmerman, B.
Giuliani, Matteo
Castelletti, ANDREA FRANCESCO
Block, P.
format Conference Object
author SAMALE, CHIARA LUCIA
GIULIANI, MATTEO
CASTELLETTI, ANDREA FRANCESCO
Zimmerman, B.
Block, P.
spellingShingle SAMALE, CHIARA LUCIA
GIULIANI, MATTEO
CASTELLETTI, ANDREA FRANCESCO
Zimmerman, B.
Block, P.
Improving seasonal forecast through the state of large-scale climate signals
author_facet SAMALE, CHIARA LUCIA
GIULIANI, MATTEO
CASTELLETTI, ANDREA FRANCESCO
Zimmerman, B.
Block, P.
author_sort SAMALE, CHIARA LUCIA
title Improving seasonal forecast through the state of large-scale climate signals
title_short Improving seasonal forecast through the state of large-scale climate signals
title_full Improving seasonal forecast through the state of large-scale climate signals
title_fullStr Improving seasonal forecast through the state of large-scale climate signals
title_full_unstemmed Improving seasonal forecast through the state of large-scale climate signals
title_sort improving seasonal forecast through the state of large-scale climate signals
publishDate 2017
url http://hdl.handle.net/11311/1029245
http://meetingorganizer.copernicus.org/EGU2017/EGU2017-12779.pdf
geographic Pacific
geographic_facet Pacific
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation ispartofbook:EGU General Assembly Conference Abstracts
European Geosciences Union General Assembly 2017
volume:19
firstpage:12779
lastpage:12779
numberofpages:1
http://hdl.handle.net/11311/1029245
http://meetingorganizer.copernicus.org/EGU2017/EGU2017-12779.pdf
op_rights info:eu-repo/semantics/closedAccess
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