A DBM model for snowmelt simulation

An inflow prediction model is developed to compute flow from temperature records, taking into consideration snow-melt contribution to the flow using a Data-Based Mechanistic (DBM) modeling approach. DBM is used in order to keep at a minimum all the a-priori assumptions on the physical mechanism driv...

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Bibliographic Details
Main Authors: Castelletti, A, Pianosi, Francesca, Soncini-Sessa, R, Young, Peter C
Format: Conference Object
Language:unknown
Published: IFAC Secretariat 2015
Subjects:
Malo
Iceland
Online Access:http://hdl.handle.net/1885/81684
id ftanucanberra:oai:digitalcollections.anu.edu.au:1885/81684
record_format openpolar
spelling ftanucanberra:oai:digitalcollections.anu.edu.au:1885/81684 2023-05-15T16:48:05+02:00 A DBM model for snowmelt simulation Castelletti, A Pianosi, Francesca Soncini-Sessa, R Young, Peter C Saint-Malo France 2015-12-13T22:53:08Z http://hdl.handle.net/1885/81684 unknown IFAC Secretariat 15th IFAC Symposium on System Identification, SYSID 2009 9783902661470 http://hdl.handle.net/1885/81684 IFAC Proceedings Volumes (IFAC-PapersOnline) Conference paper 2015 ftanucanberra 2015-12-28T23:37:53Z An inflow prediction model is developed to compute flow from temperature records, taking into consideration snow-melt contribution to the flow using a Data-Based Mechanistic (DBM) modeling approach. DBM is used in order to keep at a minimum all the a-priori assumptions on the physical mechanism driving the flow formation process and to provide an a-posteriori meaningful interpretation of the model structure. A simulation version of the model is also identified based on such interpretation. The two models have been applied on the Jakulsa river basin, Iceland. Conference Object Iceland Australian National University: ANU Digital Collections Malo ENVELOPE(7.500,7.500,62.689,62.689)
institution Open Polar
collection Australian National University: ANU Digital Collections
op_collection_id ftanucanberra
language unknown
description An inflow prediction model is developed to compute flow from temperature records, taking into consideration snow-melt contribution to the flow using a Data-Based Mechanistic (DBM) modeling approach. DBM is used in order to keep at a minimum all the a-priori assumptions on the physical mechanism driving the flow formation process and to provide an a-posteriori meaningful interpretation of the model structure. A simulation version of the model is also identified based on such interpretation. The two models have been applied on the Jakulsa river basin, Iceland.
format Conference Object
author Castelletti, A
Pianosi, Francesca
Soncini-Sessa, R
Young, Peter C
spellingShingle Castelletti, A
Pianosi, Francesca
Soncini-Sessa, R
Young, Peter C
A DBM model for snowmelt simulation
author_facet Castelletti, A
Pianosi, Francesca
Soncini-Sessa, R
Young, Peter C
author_sort Castelletti, A
title A DBM model for snowmelt simulation
title_short A DBM model for snowmelt simulation
title_full A DBM model for snowmelt simulation
title_fullStr A DBM model for snowmelt simulation
title_full_unstemmed A DBM model for snowmelt simulation
title_sort dbm model for snowmelt simulation
publisher IFAC Secretariat
publishDate 2015
url http://hdl.handle.net/1885/81684
op_coverage Saint-Malo France
long_lat ENVELOPE(7.500,7.500,62.689,62.689)
geographic Malo
geographic_facet Malo
genre Iceland
genre_facet Iceland
op_source IFAC Proceedings Volumes (IFAC-PapersOnline)
op_relation 15th IFAC Symposium on System Identification, SYSID 2009
9783902661470
http://hdl.handle.net/1885/81684
_version_ 1766038213320769536

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