HYdrological Predictions for the Environment (HYPE). HYPE Open Source Code. Welcome to the HYPE and its Open Source Community! Swedish Meteorological and Hydrological Institute (SMHI). Open data licence: Creative Commons Attribution 4.0 International (CC BY 4.0).
http://hypecode.smhi.se/
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Hype | hypecode.smhi.se Reviews
https://hypecode.smhi.se
HYdrological Predictions for the Environment (HYPE). HYPE Open Source Code. Welcome to the HYPE and its Open Source Community! Swedish Meteorological and Hydrological Institute (SMHI). Open data licence: Creative Commons Attribution 4.0 International (CC BY 4.0).
hypecode.smhi.se
Courses and Training – Hype
http://hypecode.smhi.se/courses-and-training
HYdrological Predictions for the Environment (HYPE). August 25-26th 2016 in Norrköping (SMHI). Multi-basin modelling at the large scale using HYPE. Setting up a model domain and changing spatial resolution. Calibration strategies and tools for stepwise parameter estimation using multi-source data. Annual open HYPE courses. 2011 HYPE open source kick-off. Delivery of courses customised to suit particular preferences is possible - let us know what you are interested in and we can provide a quote.
About HYPE – Hype
http://hypecode.smhi.se/about-hype
HYdrological Predictions for the Environment (HYPE). The Hydrological Predictions for the Environment (HYPE) model was developed in the early 2000’s, when introducing the EU Water Framework Directive (WFD) in Sweden (Arheimer and Lindström, 2013). The aim was to provide water information to society for environmental and climate impact assessments with high spatial resolution, also for ungauged conditions, making use of new technology and many different data sources. With time the HYPE model proved to be ...
Scientific Publications – Hype
http://hypecode.smhi.se/scientific-publications
HYdrological Predictions for the Environment (HYPE). Here we list the publications in scientific journals that we are aware of using the HYPE model in hydrological research. Please, let us know if there is more to add to the list by using the form at the bottom of the page. Gelfan, A., Gustafsson, D., Motovilov, Y., Arheimer, B., Kalugin, A., Krylenko, I. and Lavrenov, A. (2016). Climate change impact on the water regime of two great Arctic rivers: modeling and uncertainty...Hundecha, Y., Arheimer, B...
HYPE Tools – Hype
http://hypecode.smhi.se/open-source/tools-2
HYdrological Predictions for the Environment (HYPE). HYPEtools is an R add-on package, providing a continuously growing set of functions to support and simplify processing files and analyzing results of the HYPE model. It is available from the HYPEtools GitHUB pages. As source or compiled package. For installation instructions, see the this page. Note: Currently, the HYPEtools R package requires a 64 bit R installation). Or check if it is covered by a HYPE course.
Forum – Hype
http://hypecode.smhi.se/forum-2
HYdrological Predictions for the Environment (HYPE). Contribute to the wider HYPE community by sharing your experiences and questions with other HYPE users. Please register to contribute to the discussions here. Share and ask about HYPE here. Ask about using WHIST here. Start a new topic here. Http:/ www.factmag.com/2013/11/17/too-much-too-soon-should-young-artists-be-sharing-less-music]. Swedish Meteorological and Hydrological Institute (SMHI).
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Hypeweb - about
http://hypeweb.smhi.se/about
Publish modelled Open Data for inspection and free download from multi-basin and large-scale applications of the HYPE model. World-wide. Each model domain is version managed and updated continuously and only the latest results are presented. Read more and check out a specific HYPE model by clicking on the name of interest (below or on the map. Geographical domain draining to:. Coasts of continental Europe. Coast of Middle East and North Africa. Coasts of sub-Indian continent. Societal use of model results.
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Hypeclub.net
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Hype
HYdrological Predictions for the Environment (HYPE). HYPE Open Source Code. Welcome to the HYPE and its Open Source Community! Swedish Meteorological and Hydrological Institute (SMHI). Open data licence: Creative Commons Attribution 4.0 International (CC BY 4.0).
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