Requirements and system design for the new CIS MLR forecasting system (SIPS)

SIPS will replace the current regression-based forecasting system, MLR-Model, that is run as a research tool and experimental operational tool at the Canadian Ice Service. The existing system is a large and complex collection of Fortran programs and scripts written in numerous languages (python, bsh...

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Main Authors: Serrer, Martin, Tivy, Adrienne
Format: Report
Language:English
Published: National Research Council of Canada 2013
Subjects:
Online Access:https://doi.org/10.4224/21271017
https://nrc-publications.canada.ca/eng/view/ft/?id=16989651-7a0f-472a-a4c5-a8a0387c3d2b
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spelling ftnrccanada:oai:cisti-icist.nrc-cnrc.ca:cistinparc:21271017 2023-05-15T18:18:24+02:00 Requirements and system design for the new CIS MLR forecasting system (SIPS) Serrer, Martin Tivy, Adrienne 2013-03-01 text 16 p. https://doi.org/10.4224/21271017 https://nrc-publications.canada.ca/eng/view/ft/?id=16989651-7a0f-472a-a4c5-a8a0387c3d2b https://nrc-publications.canada.ca/eng/view/object/?id=16989651-7a0f-472a-a4c5-a8a0387c3d2b https://nrc-publications.canada.ca/fra/voir/objet/?id=16989651-7a0f-472a-a4c5-a8a0387c3d2b eng eng National Research Council of Canada Technical Report (National Research Council of Canada. Ocean, Coastal and River Engineering); no. OCRE-TR-2013-016, Publication date: 2013-03-01 doi:10.4224/21271017 open access software system sea ice forecasting technical report 2013 ftnrccanada https://doi.org/10.4224/21271017 2022-07-09T23:00:56Z SIPS will replace the current regression-based forecasting system, MLR-Model, that is run as a research tool and experimental operational tool at the Canadian Ice Service. The existing system is a large and complex collection of Fortran programs and scripts written in numerous languages (python, bsh, ksh, sed, etc.) that rely on a very rigid configuration both from an operating system as well as from a data organization point of view. The purpose of developing a new software system is to ease portability between computers, simplify the pre-processing and post-processing of input/output data, simplify the data structure, expand the application of the model, improve visualization, eliminate dependence on the proprietary NAG library and make the system accessible to other ice centers. All functionality found in the existing system will be retained. In addition to the above stated improvements the SIPS system will include the following new functionality.  the ability to forecast on different time-scales  a mechanism to easily integrate new predictor datasets  visualization and analysis tools NRC publication: Yes Report Sea ice National Research Council Canada: NRC Publications Archive
institution Open Polar
collection National Research Council Canada: NRC Publications Archive
op_collection_id ftnrccanada
language English
topic software system
sea ice forecasting
spellingShingle software system
sea ice forecasting
Serrer, Martin
Tivy, Adrienne
Requirements and system design for the new CIS MLR forecasting system (SIPS)
topic_facet software system
sea ice forecasting
description SIPS will replace the current regression-based forecasting system, MLR-Model, that is run as a research tool and experimental operational tool at the Canadian Ice Service. The existing system is a large and complex collection of Fortran programs and scripts written in numerous languages (python, bsh, ksh, sed, etc.) that rely on a very rigid configuration both from an operating system as well as from a data organization point of view. The purpose of developing a new software system is to ease portability between computers, simplify the pre-processing and post-processing of input/output data, simplify the data structure, expand the application of the model, improve visualization, eliminate dependence on the proprietary NAG library and make the system accessible to other ice centers. All functionality found in the existing system will be retained. In addition to the above stated improvements the SIPS system will include the following new functionality.  the ability to forecast on different time-scales  a mechanism to easily integrate new predictor datasets  visualization and analysis tools NRC publication: Yes
format Report
author Serrer, Martin
Tivy, Adrienne
author_facet Serrer, Martin
Tivy, Adrienne
author_sort Serrer, Martin
title Requirements and system design for the new CIS MLR forecasting system (SIPS)
title_short Requirements and system design for the new CIS MLR forecasting system (SIPS)
title_full Requirements and system design for the new CIS MLR forecasting system (SIPS)
title_fullStr Requirements and system design for the new CIS MLR forecasting system (SIPS)
title_full_unstemmed Requirements and system design for the new CIS MLR forecasting system (SIPS)
title_sort requirements and system design for the new cis mlr forecasting system (sips)
publisher National Research Council of Canada
publishDate 2013
url https://doi.org/10.4224/21271017
https://nrc-publications.canada.ca/eng/view/ft/?id=16989651-7a0f-472a-a4c5-a8a0387c3d2b
https://nrc-publications.canada.ca/eng/view/object/?id=16989651-7a0f-472a-a4c5-a8a0387c3d2b
https://nrc-publications.canada.ca/fra/voir/objet/?id=16989651-7a0f-472a-a4c5-a8a0387c3d2b
genre Sea ice
genre_facet Sea ice
op_relation Technical Report (National Research Council of Canada. Ocean, Coastal and River Engineering); no. OCRE-TR-2013-016, Publication date: 2013-03-01
doi:10.4224/21271017
op_rights open access
op_doi https://doi.org/10.4224/21271017
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