Shyft v4.8: a framework for uncertainty assessment and distributed hydrologic modeling for operational hydrology

This paper presents Shyft, a novel hydrologic modeling software for streamflow forecasting targeted for use in hydropower production environments and research. The software enables rapid development and implementation in operational settings and the capability to perform distributed hydrologic model...

Full description

Saved in:
Bibliographic Details
Published inGeoscientific Model Development Vol. 14; no. 2; pp. 821 - 842
Main Authors Burkhart, John F., Matt, Felix N., Helset, Sigbjørn, Sultan Abdella, Yisak, Skavhaug, Ola, Silantyeva, Olga
Format Journal Article
LanguageEnglish
Published Katlenburg-Lindau Copernicus GmbH 05.02.2021
Copernicus Publications
Subjects
Access
Algorithms
Analysis
Application programming interface
C plus plus
Coding standards
Computer applications
Computer programs
Configurations
Economic forecasting
Energy industry
Evapotranspiration
Hydroelectric power
Hydrologic models
Hydrology
Hypotheses
Industrial development
Intercomparison
Mathematical models
Modelling
Moisture content
Precipitation
Production planning
R&D
Research & development
Research facilities
Research institutions
Routines
Snow accumulation
Software
Soil water
Source code
Stream discharge
Stream flow
Streamflow forecasting
Time series
Trends
Water-power
Weather forecasting
Online AccessGet full text
ISSN1991-9603
1991-959X
1991-962X
1991-9603
1991-962X
DOI10.5194/gmd-14-821-2021

Cover

Abstract This paper presents Shyft, a novel hydrologic modeling software for streamflow forecasting targeted for use in hydropower production environments and research. The software enables rapid development and implementation in operational settings and the capability to perform distributed hydrologic modeling with multiple model and forcing configurations. Multiple models may be built up through the creation of hydrologic algorithms from a library of well-known routines or through the creation of new routines, each defined for processes such as evapotranspiration, snow accumulation and melt, and soil water response. Key to the design of Shyft is an application programming interface (API) that provides access to all components of the framework (including the individual hydrologic routines) via Python, while maintaining high computational performance as the algorithms are implemented in modern C++. The API allows for rapid exploration of different model configurations and selection of an optimal forecast model. Several different methods may be aggregated and composed, allowing direct intercomparison of models and algorithms. In order to provide enterprise-level software, strong focus is given to computational efficiency, code quality, documentation, and test coverage. Shyft is released open-source under the GNU Lesser General Public License v3.0 and available at https://gitlab.com/shyft-os (last access: 22 November 2020), facilitating effective cooperation between core developers, industry, and research institutions.
AbstractList This paper presents Shyft, a novel hydrologic modeling software for streamflow forecasting targeted for use in hydropower production environments and research. The software enables rapid development and implementation in operational settings and the capability to perform distributed hydrologic modeling with multiple model and forcing configurations. Multiple models may be built up through the creation of hydrologic algorithms from a library of well-known routines or through the creation of new routines, each defined for processes such as evapotranspiration, snow accumulation and melt, and soil water response. Key to the design of Shyft is an application programming interface (API) that provides access to all components of the framework (including the individual hydrologic routines) via Python, while maintaining high computational performance as the algorithms are implemented in modern C++. The API allows for rapid exploration of different model configurations and selection of an optimal forecast model. Several different methods may be aggregated and composed, allowing direct intercomparison of models and algorithms. In order to provide enterprise-level software, strong focus is given to computational efficiency, code quality, documentation, and test coverage. Shyft is released open-source under the GNU Lesser General Public License v3.0 and available at
This paper presents Shyft, a novel hydrologic modeling software for streamflow forecasting targeted for use in hydropower production environments and research. The software enables rapid development and implementation in operational settings and the capability to perform distributed hydrologic modeling with multiple model and forcing configurations. Multiple models may be built up through the creation of hydrologic algorithms from a library of well-known routines or through the creation of new routines, each defined for processes such as evapotranspiration, snow accumulation and melt, and soil water response. Key to the design of Shyft is an application programming interface (API) that provides access to all components of the framework (including the individual hydrologic routines) via Python, while maintaining high computational performance as the algorithms are implemented in modern C++. The API allows for rapid exploration of different model configurations and selection of an optimal forecast model. Several different methods may be aggregated and composed, allowing direct intercomparison of models and algorithms. In order to provide enterprise-level software, strong focus is given to computational efficiency, code quality, documentation, and test coverage. Shyft is released open-source under the GNU Lesser General Public License v3.0 and available at https://gitlab.com/shyft-os (last access: 22 November 2020), facilitating effective cooperation between core developers, industry, and research institutions.
This paper presents Shyft, a novel hydrologic modeling software for streamflow forecasting targeted for use in hydropower production environments and research. The software enables rapid development and implementation in operational settings and the capability to perform distributed hydrologic modeling with multiple model and forcing configurations. Multiple models may be built up through the creation of hydrologic algorithms from a library of well-known routines or through the creation of new routines, each defined for processes such as evapotranspiration, snow accumulation and melt, and soil water response. Key to the design of Shyft is an application programming interface (API) that provides access to all components of the framework (including the individual hydrologic routines) via Python, while maintaining high computational performance as the algorithms are implemented in modern C++. The API allows for rapid exploration of different model configurations and selection of an optimal forecast model. Several different methods may be aggregated and composed, allowing direct intercomparison of models and algorithms. In order to provide enterprise-level software, strong focus is given to computational efficiency, code quality, documentation, and test coverage. Shyft is released open-source under the GNU Lesser General Public License v3.0 and available at https://gitlab.com/shyft-os (last access: 22 November 2020), facilitating effective cooperation between core developers, industry, and research institutions.
This paper presents Shyft, a novel hydrologic modeling software for streamflow forecasting targeted for use in hydropower production environments and research. The software enables rapid development and implementation in operational settings and the capability to perform distributed hydrologic modeling with multiple model and forcing configurations. Multiple models may be built up through the creation of hydrologic algorithms from a library of well-known routines or through the creation of new routines, each defined for processes such as evapotranspiration, snow accumulation and melt, and soil water response. Key to the design of Shyft is an application programming interface (API) that provides access to all components of the framework (including the individual hydrologic routines) via Python, while maintaining high computational performance as the algorithms are implemented in modern C++. The API allows for rapid exploration of different model configurations and selection of an optimal forecast model. Several different methods may be aggregated and composed, allowing direct intercomparison of models and algorithms. In order to provide enterprise-level software, strong focus is given to computational efficiency, code quality, documentation, and test coverage. Shyft is released open-source under the GNU Lesser General Public License v3.0 and available athttps://gitlab.com/shyft-os (last access: 22 November 2020), facilitating effective cooperation between core developers, industry, and research institutions.
Audience Academic
Author Sultan Abdella, Yisak
Burkhart, John F.
Silantyeva, Olga
Skavhaug, Ola
Matt, Felix N.
Helset, Sigbjørn
Author_xml – sequence: 1
  givenname: John F.
  orcidid: 0000-0002-5587-1693
  surname: Burkhart
  fullname: Burkhart, John F.
– sequence: 2
  givenname: Felix N.
  surname: Matt
  fullname: Matt, Felix N.
– sequence: 3
  givenname: Sigbjørn
  surname: Helset
  fullname: Helset, Sigbjørn
– sequence: 4
  givenname: Yisak
  surname: Sultan Abdella
  fullname: Sultan Abdella, Yisak
– sequence: 5
  givenname: Ola
  surname: Skavhaug
  fullname: Skavhaug, Ola
– sequence: 6
  givenname: Olga
  orcidid: 0000-0001-5440-6768
  surname: Silantyeva
  fullname: Silantyeva, Olga
BookMark eNqNkk1v1DAQhi1UJNqFM9dInDhkazuOE3OrKqArVUKicLYm_ki9JPFiOy3597i7VWERSMgHj0fvMx6_4zN0MvnJIPSa4HVNBDvvR10SVraUlBRT8gydEiFIKTiuTn6LX6CzGLcYc9Hw5hTtbm4Xm4o7tm7fFVDYAKO59-FbYX0o5kmZkMBNaSkgRhPjaKZUwKQL7WIKrpuT0cXtooMffO9UMXptBjf1e9zvTIDk_ATDk2Z5iZ5bGKJ59biv0NcP779cXpXXnz5uLi-uS8WaJpUaVKM5UAxG2YaDrizhmvHKkMpUrOO1Mq3qqMCdYTnWtNJYCwqi0ZR1tlqhzaGu9rCVu-BGCIv04OQ-4UMvISSnBiMb1jLcctpCUzNjVGfbGhPbCZvPIl-9QvhQa552sNzDMDwVJFg-uC-z-5Iwmd2XD-5n5M0B2QX_fTYxya2fQ3YiSspazkgjaPVL1UPuw03WpwBqdFHJC17jtuYkj2yF1n9R5aXN6FT-Bdbl_BHw9gjImmR-pB7mGOXm5vOx9vygVcHHGIz9j6fVfxDKpf2cc1tu-Cf3Ex4N01o
CitedBy_id crossref_primary_10_2166_wcc_2021_253
Cites_doi 10.5194/hess-24-4641-2020
10.1061/(ASCE)0733-9496(1985)111:2(157)
10.1016/0022-1694(70)90255-6
10.1126/science.245.4923.1227
10.1029/2012JD018291
10.1002/wat2.1432
10.1016/S0022-1694(97)00041-3
10.1029/96JD03436
10.1175/MWR-D-16-0417.1
10.1175/JAM2506.1
10.1080/02626667.2013.803183
10.1029/94JD00483
10.1029/2012GL052457
10.1175/JHM-D-13-0188.1
10.1002/qj.375
10.1029/2006JD008003
10.1002/hyp.6787
10.1002/2015WR017198
10.1111/j.1600-0889.1984.tb00254.x
10.5194/gmd-5-819-2012
10.1029/2004JD004945
10.1002/2014WR016731
10.5194/hess-22-989-2018
10.1016/j.jhydrol.2005.07.007
10.1029/2005WR004362
10.1002/hyp.9600
10.1029/2006GL026047
10.21105/joss.00026
10.1016/j.jhydrol.2003.09.028
10.1017/jog.2016.125
10.1126/science.1064034
10.5194/gmd-11-3481-2018
10.5194/hess-19-3951-2015
10.1002/hyp.9968
10.1029/2008WR006912
10.1016/j.jhydrol.2005.09.028
10.1175/1520-0469(1980)037<2712:AMFTSA>2.0.CO;2
10.1002/2015WR017200
10.5194/gmd-2020-47
10.1029/97WR03495
10.5194/tc-10-1947-2016
10.1038/nclimate1433
10.1017/CBO9781107415324
10.5194/hess-22-179-2018
10.1175/1520-0469(1980)037<2734:AMFTSA>2.0.CO;2
10.5194/gmd-5-611-2012
10.3189/2013AoG62A162
10.5194/hess-11-1035-2007
10.1016/S0022-1694(03)00257-9
10.1175/2010MWR3425.1
10.5194/hess-17-3853-2013
10.1002/2017GL075826
10.1002/2015JD024375
10.1002/2015WR017864
10.1029/2009WR008328
10.1145/800186.810616
10.5194/hess-21-3879-2017
10.1002/asl.183
10.1007/978-3-642-40457-3_47-1
10.5194/hess-15-3123-2011
10.1002/met.1447
10.2478/johh-2018-0004
10.5194/hess-10-369-2006
10.3390/rs11010028
10.1029/2010WR009827
10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2
10.1073/pnas.2237157100
10.1029/2019WR025280
10.5194/hess-22-5021-2018
10.1021/acs.est.8b00139
10.1016/j.jhydrol.2012.03.019
10.1002/grl.50773
ContentType Journal Article
Copyright COPYRIGHT 2021 Copernicus GmbH
2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: COPYRIGHT 2021 Copernicus GmbH
– notice: 2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID AAYXX
CITATION
ISR
7TG
7TN
7UA
8FD
8FE
8FG
ABJCF
ABUWG
AEUYN
AFKRA
AZQEC
BENPR
BFMQW
BGLVJ
BHPHI
BKSAR
C1K
CCPQU
DWQXO
F1W
H8D
H96
HCIFZ
KL.
L.G
L6V
L7M
M7S
PCBAR
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PTHSS
ADTOC
UNPAY
DOA
DOI 10.5194/gmd-14-821-2021
DatabaseName CrossRef
Gale In Context: Science
Meteorological & Geoastrophysical Abstracts
Oceanic Abstracts
Water Resources Abstracts
Technology Research Database
ProQuest SciTech Collection
ProQuest Technology Collection
Materials Science & Engineering Collection
ProQuest Central (Alumni)
ProQuest One Sustainability
ProQuest Central UK/Ireland
ProQuest Central Essentials - QC
ProQuest Central
Continental Europe Database
Technology Collection (ProQuest)
Natural Science Collection
Earth, Atmospheric & Aquatic Science Collection
Environmental Sciences and Pollution Management
ProQuest One Community College
ProQuest Central Korea
ASFA: Aquatic Sciences and Fisheries Abstracts
Aerospace Database
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
ProQuest SciTech Premium Collection
Meteorological & Geoastrophysical Abstracts - Academic
Aquatic Science & Fisheries Abstracts (ASFA) Professional
ProQuest Engineering Collection
Advanced Technologies Database with Aerospace
Engineering Database
Earth, Atmospheric & Aquatic Science Database
ProQuest Central Premium
ProQuest One Academic
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
Engineering Collection
Unpaywall for CDI: Periodical Content
Unpaywall
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
Publicly Available Content Database
Aquatic Science & Fisheries Abstracts (ASFA) Professional
Technology Collection
Technology Research Database
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Central China
Water Resources Abstracts
Environmental Sciences and Pollution Management
Earth, Atmospheric & Aquatic Science Collection
ProQuest Central
ProQuest One Applied & Life Sciences
Aerospace Database
ProQuest One Sustainability
ProQuest Engineering Collection
Meteorological & Geoastrophysical Abstracts
Oceanic Abstracts
Natural Science Collection
ProQuest Central Korea
ProQuest Central (New)
Advanced Technologies Database with Aerospace
Engineering Collection
Engineering Database
ProQuest One Academic Eastern Edition
Earth, Atmospheric & Aquatic Science Database
ProQuest Technology Collection
Continental Europe Database
ProQuest SciTech Collection
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
ProQuest One Academic UKI Edition
ASFA: Aquatic Sciences and Fisheries Abstracts
Materials Science & Engineering Collection
ProQuest One Academic
Meteorological & Geoastrophysical Abstracts - Academic
ProQuest One Academic (New)
DatabaseTitleList

CrossRef
Publicly Available Content Database
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: UNPAY
  name: Unpaywall
  url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/
  sourceTypes: Open Access Repository
– sequence: 3
  dbid: 8FG
  name: ProQuest Technology Collection
  url: https://search.proquest.com/technologycollection1
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Geology
EISSN 1991-9603
1991-962X
EndPage 842
ExternalDocumentID oai_doaj_org_article_748408628a754eecbf8501fb9f7549ad
10.5194/gmd-14-821-2021
A650856160
10_5194_gmd_14_821_2021
GroupedDBID 5VS
8R4
8R5
AAFWJ
AAYXX
ABDBF
ACUHS
ADBBV
AENEX
AFPKN
AHGZY
ALMA_UNASSIGNED_HOLDINGS
BCNDV
CITATION
ESX
GROUPED_DOAJ
H13
IAO
IEA
IEP
ISR
ITC
KQ8
OK1
P2P
Q2X
RKB
RNS
TR2
TUS
7TG
7TN
7UA
8FD
8FE
8FG
8FH
ABJCF
ABUWG
AEUYN
AFKRA
AZQEC
BENPR
BFMQW
BGLVJ
BHPHI
BKSAR
BPHCQ
C1K
CCPQU
DWQXO
F1W
H8D
H96
HCIFZ
KL.
L.G
L6V
L7M
LK5
M7R
M7S
PCBAR
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PROAC
PTHSS
ADTOC
C1A
IPNFZ
RIG
UNPAY
ID FETCH-LOGICAL-c477t-dac7d6a20aecf76ad3f16d463e13e34b65ce8cb290be45ced23d0d92a97d24bf3
IEDL.DBID DOA
ISSN 1991-9603
1991-959X
1991-962X
IngestDate Fri Oct 03 12:51:00 EDT 2025
Tue Aug 19 20:17:15 EDT 2025
Fri Jul 25 10:46:37 EDT 2025
Mon Oct 20 22:07:16 EDT 2025
Mon Oct 20 16:20:22 EDT 2025
Thu Oct 16 14:30:20 EDT 2025
Thu Apr 24 23:08:13 EDT 2025
Tue Jul 01 03:33:00 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 2
Language English
License https://creativecommons.org/licenses/by/4.0
cc-by
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c477t-dac7d6a20aecf76ad3f16d463e13e34b65ce8cb290be45ced23d0d92a97d24bf3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0001-5440-6768
0000-0002-5587-1693
OpenAccessLink https://doaj.org/article/748408628a754eecbf8501fb9f7549ad
PQID 2486417923
PQPubID 105726
PageCount 22
ParticipantIDs doaj_primary_oai_doaj_org_article_748408628a754eecbf8501fb9f7549ad
unpaywall_primary_10_5194_gmd_14_821_2021
proquest_journals_2486417923
gale_infotracmisc_A650856160
gale_infotracacademiconefile_A650856160
gale_incontextgauss_ISR_A650856160
crossref_primary_10_5194_gmd_14_821_2021
crossref_citationtrail_10_5194_gmd_14_821_2021
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2021-02-05
PublicationDateYYYYMMDD 2021-02-05
PublicationDate_xml – month: 02
  year: 2021
  text: 2021-02-05
  day: 05
PublicationDecade 2020
PublicationPlace Katlenburg-Lindau
PublicationPlace_xml – name: Katlenburg-Lindau
PublicationTitle Geoscientific Model Development
PublicationYear 2021
Publisher Copernicus GmbH
Copernicus Publications
Publisher_xml – name: Copernicus GmbH
– name: Copernicus Publications
References ref13
ref57
ref12
ref56
ref15
ref59
ref14
ref58
ref53
ref52
ref11
ref55
ref10
ref54
ref17
ref16
ref19
ref18
ref51
ref50
ref46
ref45
ref48
ref47
ref42
ref41
ref85
ref44
ref43
ref49
ref8
ref7
ref9
ref4
ref3
ref6
ref5
ref82
ref81
ref40
ref84
ref83
ref80
ref35
ref79
ref34
ref78
ref37
ref36
ref31
ref75
ref30
ref74
ref33
ref77
ref32
ref76
ref2
ref1
ref39
ref38
ref71
ref70
ref73
ref72
ref24
ref68
ref23
ref67
ref26
ref25
ref69
ref20
ref64
ref63
ref22
ref66
ref21
ref65
ref28
ref27
ref29
ref60
ref62
ref61
References_xml – ident: ref37
– ident: ref73
  doi: 10.5194/hess-24-4641-2020
– ident: ref16
  doi: 10.1061/(ASCE)0733-9496(1985)111:2(157)
– ident: ref50
  doi: 10.1016/0022-1694(70)90255-6
– ident: ref2
  doi: 10.1126/science.245.4923.1227
– ident: ref66
– ident: ref76
  doi: 10.1029/2012JD018291
– ident: ref83
  doi: 10.1002/wat2.1432
– ident: ref20
– ident: ref44
  doi: 10.1016/S0022-1694(97)00041-3
– ident: ref81
– ident: ref32
  doi: 10.1029/96JD03436
– ident: ref6
  doi: 10.1175/MWR-D-16-0417.1
– ident: ref75
  doi: 10.1175/JAM2506.1
– ident: ref34
  doi: 10.1080/02626667.2013.803183
– ident: ref42
  doi: 10.1029/94JD00483
– ident: ref52
  doi: 10.1029/2012GL052457
– ident: ref51
  doi: 10.1175/JHM-D-13-0188.1
– ident: ref21
  doi: 10.1002/qj.375
– ident: ref19
  doi: 10.1029/2006JD008003
– ident: ref55
  doi: 10.1002/hyp.6787
– ident: ref14
  doi: 10.1002/2015WR017198
– ident: ref17
– ident: ref74
  doi: 10.1111/j.1600-0889.1984.tb00254.x
– ident: ref1
  doi: 10.5194/gmd-5-819-2012
– ident: ref65
– ident: ref36
  doi: 10.1029/2004JD004945
– ident: ref78
  doi: 10.1002/2014WR016731
– ident: ref7
  doi: 10.5194/hess-22-989-2018
– ident: ref82
– ident: ref9
  doi: 10.1016/j.jhydrol.2005.07.007
– ident: ref38
  doi: 10.1029/2005WR004362
– ident: ref49
  doi: 10.1002/hyp.9600
– ident: ref40
– ident: ref27
  doi: 10.1029/2006GL026047
– ident: ref61
  doi: 10.21105/joss.00026
– ident: ref47
  doi: 10.1016/j.jhydrol.2003.09.028
– ident: ref70
  doi: 10.1017/jog.2016.125
– ident: ref58
  doi: 10.1126/science.1064034
– ident: ref30
  doi: 10.5194/gmd-11-3481-2018
– ident: ref64
– ident: ref79
  doi: 10.5194/hess-19-3951-2015
– ident: ref3
– ident: ref67
  doi: 10.1002/hyp.9968
– ident: ref39
  doi: 10.1029/2008WR006912
– ident: ref26
  doi: 10.1016/j.jhydrol.2005.09.028
– ident: ref80
  doi: 10.1175/1520-0469(1980)037<2712:AMFTSA>2.0.CO;2
– ident: ref15
  doi: 10.1002/2015WR017200
– ident: ref12
  doi: 10.5194/gmd-2020-47
– ident: ref25
  doi: 10.1029/97WR03495
– ident: ref69
  doi: 10.5194/tc-10-1947-2016
– ident: ref29
  doi: 10.1038/nclimate1433
– ident: ref35
  doi: 10.1017/CBO9781107415324
– ident: ref22
– ident: ref45
  doi: 10.5194/hess-22-179-2018
– ident: ref77
  doi: 10.1175/1520-0469(1980)037<2734:AMFTSA>2.0.CO;2
– ident: ref23
  doi: 10.5194/gmd-5-611-2012
– ident: ref68
  doi: 10.3189/2013AoG62A162
– ident: ref28
  doi: 10.5194/hess-11-1035-2007
– ident: ref33
  doi: 10.1016/S0022-1694(03)00257-9
– ident: ref62
  doi: 10.1175/2010MWR3425.1
– ident: ref43
  doi: 10.5194/hess-17-3853-2013
– ident: ref53
  doi: 10.1002/2017GL075826
– ident: ref18
  doi: 10.1002/2015JD024375
– ident: ref4
  doi: 10.1002/2015WR017864
– ident: ref59
  doi: 10.1029/2009WR008328
– ident: ref63
  doi: 10.1145/800186.810616
– ident: ref46
  doi: 10.5194/hess-21-3879-2017
– ident: ref84
  doi: 10.1002/asl.183
– ident: ref54
  doi: 10.1007/978-3-642-40457-3_47-1
– ident: ref10
  doi: 10.5194/hess-15-3123-2011
– ident: ref85
  doi: 10.1002/met.1447
– ident: ref60
  doi: 10.2478/johh-2018-0004
– ident: ref41
  doi: 10.5194/hess-10-369-2006
– ident: ref71
  doi: 10.3390/rs11010028
– ident: ref13
  doi: 10.1029/2010WR009827
– ident: ref57
  doi: 10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2
– ident: ref31
  doi: 10.1073/pnas.2237157100
– ident: ref5
  doi: 10.1029/2019WR025280
– ident: ref8
– ident: ref56
– ident: ref72
  doi: 10.5194/hess-22-5021-2018
– ident: ref24
  doi: 10.1021/acs.est.8b00139
– ident: ref48
  doi: 10.1016/j.jhydrol.2012.03.019
– ident: ref11
  doi: 10.1002/grl.50773
SSID ssj0069767
ssj0069768
Score 2.2478416
Snippet This paper presents Shyft, a novel hydrologic modeling software for streamflow forecasting targeted for use in hydropower production environments and research....
This paper presents Shyft, a novel hydrologic modeling software for streamflow forecasting targeted for use in hydropower production environments and research....
SourceID doaj
unpaywall
proquest
gale
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Enrichment Source
Index Database
StartPage 821
SubjectTerms Access
Algorithms
Analysis
Application programming interface
C plus plus
Coding standards
Computer applications
Computer programs
Configurations
Economic forecasting
Energy industry
Evapotranspiration
Hydroelectric power
Hydrologic models
Hydrology
Hypotheses
Industrial development
Intercomparison
Mathematical models
Modelling
Moisture content
Precipitation
Production planning
R&D
Research & development
Research facilities
Research institutions
Routines
Snow accumulation
Software
Soil water
Source code
Stream discharge
Stream flow
Streamflow forecasting
Time series
Trends
Water-power
Weather forecasting
SummonAdditionalLinks – databaseName: ProQuest Central
  dbid: BENPR
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwhV1Lb9QwELbKVgg4IF4VgYIshAQc0iaO4yRICLWopXBYoZZKe7Nsj709LEnYzYLy7_HksXSFgFse4yjxjGfGzvj7CHnpfNhIndJhngCCaqdFWGgtQiYyrbzGRQJdgexUnF3yz7N0tkOm414YLKscfWLnqKEyuEZ-yHgukC2LJe_r7yGyRuHf1ZFCQw3UCvCugxi7QXYZImNNyO7xyfTL-eibhQ--2fWTbqccFv8Ugs165B-f0vDD-TcIYx7mLPZmxOKtoNVh-__pwe-QW-uyVu1PtVhcC1Gn98jdIbekR70x3Cc7tnxAbn7suHvbh6S-uGpdQ3_wg_wtVdSNZVnU563Uh7e-OKBpqdqgdVJVAgXE1kVaLAv0qoVl7y5px6HjA1_XvKrtclhW3Mi0j8jl6cnXD2fhQLgQGp5lTQjKZCAUi5Q1LhMKEhcL4CKxuFbKtUiNzY1mRaQt98fAEoigYKrIgHHtkj0yKavSPiYUIq01RCpzNuWJcX7iFEFq8bcnxEmuAnIw9qg0Axo5kmIspJ-VoAqkV4Gfl0ivAokqCMjrTYO6B-L4u-gxqmgjhgja3YVqOZfDgJSIoYrTuVxlKbfWaJenUex04fx5oSAgL1DBEjEySizCmav1aiU_XZzLI8xqfd4pooC8GoRc5d_eqGFPg-8DhNXaktzfkvSD2GzfHu1IDk5kJX-bfEDebGzrf1__5N-Pekpuo1RXeJ7uk0mzXNtnPq9q9PNhsPwCphIfug
  priority: 102
  providerName: ProQuest
– databaseName: Unpaywall
  dbid: UNPAY
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3di9QwEA_nHqI--C1WTwkiqA_t9SNJW9_Ww_P04RDPhfUpJJnkTlx7y26r1L_eTNst7omI-NSmnZRkJs3MJJPfEPLUebXBndJhkQGCavMyLLUWYSpyrbzERQZdgOyxOJqxd3M-3yEHm7Mwp18hwuMYq-qzadY9UPAQIbafsP0iTdBdT5AuTFjoyyGWoyW4S2RXcG-QT8ju7Pj99FO3n1wmYcnL-Xgv4qwH-PGWC7v4lS3d1EH4_z5RXyNXmmqp2u9qsfhFEx3eILDpQx-A8iVqah2ZHxfgHf-zkzfJ9cFSpdO-yi2yY6vb5PKbLhNwe4csT85aV9NvLCpeUkXdJsiLeiuYemXZhxrULVUj9idVFVBApF5MsmWBnrWw6idf2mXk8Wq0q46NHhYpR5r2Lpkdvv54cBQO6RtCw_K8DkGZHIRKY2WNy4WCzCUCmMgsrrwyLbixhdFpGWvL_D2kGcRQpqrMIWXaZffIpDqv7H1CIdZaQ6xyZznLjPNuWAzc4iYqJFmhAhJtBCfNgG2OKTYW0vs4KGnpWem9HOlZKZGVAXk-Vlj2sB5_Jn2FI2EkQzzu7oEXmxzEJhGRFZ3DQuWcWWu0K3icOF06Xy4VBOQJjiOJiBsVhvScqma9lm9PPsgp2sjeihVxQJ4NRO7ct96o4YSE5wGCdG1R7m1R-inBbL_eDFc5TElrmbJCYLq5NAvIi3EI_633D_6B9iG5ipcupp3vkUm9auwjb7LV-vHwS_4ER8w7MQ
  priority: 102
  providerName: Unpaywall
Title Shyft v4.8: a framework for uncertainty assessment and distributed hydrologic modeling for operational hydrology
URI https://www.proquest.com/docview/2486417923
https://gmd.copernicus.org/articles/14/821/2021/gmd-14-821-2021.pdf
https://doaj.org/article/748408628a754eecbf8501fb9f7549ad
UnpaywallVersion publishedVersion
Volume 14
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAFT
  databaseName: Open Access Digital Library
  customDbUrl:
  eissn: 1991-9603
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0069767
  issn: 1991-9603
  databaseCode: KQ8
  dateStart: 20080101
  isFulltext: true
  titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html
  providerName: Colorado Alliance of Research Libraries
– providerCode: PRVAFT
  databaseName: Open Access Digital Library
  customDbUrl:
  eissn: 1991-9603
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0069768
  issn: 1991-9603
  databaseCode: KQ8
  dateStart: 20080101
  isFulltext: true
  titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html
  providerName: Colorado Alliance of Research Libraries
– providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 1991-9603
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0069767
  issn: 1991-9603
  databaseCode: DOA
  dateStart: 20080101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVEBS
  databaseName: EBSCOhost Academic Search Ultimate
  customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn
  eissn: 1991-9603
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0069767
  issn: 1991-9603
  databaseCode: ABDBF
  dateStart: 20090701
  isFulltext: true
  titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn
  providerName: EBSCOhost
– providerCode: PRVPQU
  databaseName: Continental Europe Database
  customDbUrl:
  eissn: 1991-9603
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0069768
  issn: 1991-9603
  databaseCode: BFMQW
  dateStart: 20080101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/conteurope
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl: http://www.proquest.com/pqcentral?accountid=15518
  eissn: 1991-9603
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0069768
  issn: 1991-9603
  databaseCode: BENPR
  dateStart: 20080101
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Technology Collection
  customDbUrl:
  eissn: 1991-9603
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0069768
  issn: 1991-9603
  databaseCode: 8FG
  dateStart: 20080101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/technologycollection1
  providerName: ProQuest
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3db9MwELdgCAEPiK-JjFFZCAl4yJYP24l5a2Hd4KGaNiqVJ8uO7e2hS6s2BeW_5y5Jo1UI7YWnxMk5sn3nu7N9-R0h7z2YDe61CfPUIqg2l6E0RoSJyIwGjovUNgGyE3E2Zd9nfHYr1RfGhLXwwO3AHSPWJbrduc44c64wPudR7I30UJbaovaNcrldTLU6WICRbdKqYFyP5HLWgvqAt8KOr25sGLMwT2KQkCTesUcNbP_fyvkJebQpl7r-refzW9Zn_Iw87dxGOmyb-5zcc-UL8vC0SctbvyTLy-vaV_QXO8o_U039NuKKgktKwXK15_5VTXUPxEl1aalF2FzMeOUsva7tqtWEtEmPAzatqb5YulW3Y9jT1K_IdHzy48tZ2OVSCAuWZVVodZFZoZNIu8JnQtvUx8IykTrcBmVG8MLlhUlkZByDe5ukNrIy0TKzCTM-3Sd75aJ0rwm1kTHGRjrzjrO08MCcyHKHJ5o2TnMdkKPtiKqiAxrHfBdzBQsOZIECFsCSQwELFLIgIB_7CssWY-PfpCNkUU-G4NjNAxAZ1YmMuktkAvIOGawQ_qLE-JorvVmv1bfLCzVEhxVcShEF5ENH5BfQ-kJ3vyvAGCBi1g7l4Q4lzM9i9_VWjlSnH9YqYbnA3G9JGpBPvWzd1fuD_9H7N-QxfquJPOeHZK9abdxbcKwqMyD38_HpgDwYjr6OxnAdnUzOLwbNzILSdHI-_PkHGnIkag
linkProvider Directory of Open Access Journals
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bb9MwFLbGJjR4QFxFxwALgYCHbInjOAnShDbYaNmo0C5S34yv3UOXll6Y8uf4bZyTJmUVAp72lstxlPjY5-Icfx8hLz24jcQrHWSxRVDtJA9yrUXARKoVaFzEtiqQ7Yr2Gf_cS3or5GezFwbLKhubWBlqOzS4Rr7NeCaQLYvF70ffA2SNwr-rDYWGqqkV7E4FMVZv7Dh05SWkcJOdzkfQ9yvGDvZPP7SDmmUgMDxNp4FVJrVCsVA541OhbOwjYbmIHS4Qci0S4zKjWR5qx-HYstiGNmcqTy3j2sfw3Btkjcc8h-RvbW-_-_W48QUCnH169aTamYfFRrlgvTnSEIRQfLt_YYOIBxmLYNiyaMlJVlwCf3qM22R9VoxUeakGgysu8eAuuVPHsnR3PvjukRVX3Cc3P1VcweUDMjo5L_2U_uBb2TuqqG_KwCjEyRTc6bwYYVpStUAHpaqw1CKWL9JwOUvPSzuem2dacfaAo62aD0duXC9jLmTKh-TsWrr-EVkthoV7TKgNtdY2VKl3CY-Nh0QttInD36w2ijPVIltNj0pTo58jCcdAQhaEKpCgAsiDJKhAogpa5M2iwWgO_PF30T1U0UIMEburC8NxX9YGQCJmK6aPmUoT7pzRPkvCyOvcw3mubIu8QAVLxOQosOinr2aTieycHMtdjKIhzhVhi7yuhfwQ3t6oeg8F9AHCeC1Jbi5JgtEwy7ebcSRrozWRv6dYi7xdjK3_ff3Gvx_1nKy3T78cyaNO9_AJuYUtqqL3ZJOsTscz9xRiuql-Vk8cSr5d91z9BWkeXwg
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1bb9MwFLZGJ24P3BGFARYCAQ9pE8dxEiSENkZZGUzAmOibsWN7kyhp6YUp_DT-Cn-Gc3IpKwh42gNvcXIcJc7nc3GOv0PIXQdmI3JKe0lokFQ7Sr1Ua-ExEWsFX1yEpkyQ3RFbe_zFIBqskG_NXhhMq2x0YqmozSjDNfIu44nAalks7Lo6LeL1Zu_J-LOHFaTwT2tTTqOCyLYtDiF8mz7ub8K3vsdY79m7p1teXWHAy3gczzyjstgIxXxlMxcLZUIXCMNFaHFxkGsRZTbJNEt9bTkcGxYa36RMpbFhXLsQ7nuCrCZIgtYiqxu9V2_eN3ZAgKGPjzbKXXmYaJQKNqhYhsB94t39T8YLuJewACDLgiUDWdYR-N1anCWn5_lYFYdqODxiDnvnyfdmIKssmI-d-Ux3sq-_cEz-nyN9gZyrvXS6Xk2ri2TF5pfIyedlFeTiMhnvHhRuRr_wTvKIKuqaBDcKEQAFR6FKs5gVVC14T6nKDTXIUowFxqyhB4WZVIaHltWIwIUou4_GdlIv0C5kiitk71he9ypp5aPcXiPU-Fpr46vY2YiHmYMQ1DeRxR_IJggT1SadBi8yq3ndsbzIUEJ8hwCTADCI8CQATCLA2uTBosO4ojT5s-gGAnAhhlzk5YnRZF_Wqk0iGy0GxomKI25tpl0S-YHTqYN2qkyb3EH4SmQbyRFN-2o-ncr-7lu5jvEBePDCb5P7tZAbwdNnqt4dAmOABGVLkmtLkqAOs-XLDaplrY6n8iek2-ThYub86-2v__1Wt8kpmBfyZX9n-wY5gx3KbP5ojbRmk7m9Cc7qTN-qtQIlH457evwAw4qmxg
linkToUnpaywall http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3di9QwEA_nHqI--C1WTwkiqA_t9SNJW9_Ww_P04RDPhfUpJJnkTlx7y26r1L_eTNst7omI-NSmnZRkJs3MJJPfEPLUebXBndJhkQGCavMyLLUWYSpyrbzERQZdgOyxOJqxd3M-3yEHm7Mwp18hwuMYq-qzadY9UPAQIbafsP0iTdBdT5AuTFjoyyGWoyW4S2RXcG-QT8ju7Pj99FO3n1wmYcnL-Xgv4qwH-PGWC7v4lS3d1EH4_z5RXyNXmmqp2u9qsfhFEx3eILDpQx-A8iVqah2ZHxfgHf-zkzfJ9cFSpdO-yi2yY6vb5PKbLhNwe4csT85aV9NvLCpeUkXdJsiLeiuYemXZhxrULVUj9idVFVBApF5MsmWBnrWw6idf2mXk8Wq0q46NHhYpR5r2Lpkdvv54cBQO6RtCw_K8DkGZHIRKY2WNy4WCzCUCmMgsrrwyLbixhdFpGWvL_D2kGcRQpqrMIWXaZffIpDqv7H1CIdZaQ6xyZznLjPNuWAzc4iYqJFmhAhJtBCfNgG2OKTYW0vs4KGnpWem9HOlZKZGVAXk-Vlj2sB5_Jn2FI2EkQzzu7oEXmxzEJhGRFZ3DQuWcWWu0K3icOF06Xy4VBOQJjiOJiBsVhvScqma9lm9PPsgp2sjeihVxQJ4NRO7ct96o4YSE5wGCdG1R7m1R-inBbL_eDFc5TElrmbJCYLq5NAvIi3EI_633D_6B9iG5ipcupp3vkUm9auwjb7LV-vHwS_4ER8w7MQ
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Shyft+v4.8%3A+a+framework+for+uncertainty+assessment+and+distributed+hydrologic+modeling+for+operational+hydrology&rft.jtitle=Geoscientific+model+development&rft.au=J.+F.+Burkhart&rft.au=F.+N.+Matt&rft.au=F.+N.+Matt&rft.au=S.+Helset&rft.date=2021-02-05&rft.pub=Copernicus+Publications&rft.issn=1991-959X&rft.eissn=1991-9603&rft.volume=14&rft.spage=821&rft.epage=842&rft_id=info:doi/10.5194%2Fgmd-14-821-2021&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_748408628a754eecbf8501fb9f7549ad
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1991-9603&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1991-9603&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1991-9603&client=summon