The HYPE model set-up to the land surface across the globe is called “World-Wide HYPE”. SMHI can choose to share this model (i.e. both source code and the input files) for appointed geographical domains under an Open license (CC BY 4.0) and some appointed user conditions. You can ask for permission to use part of the World-Wide HYPE and depending on your intended purpose, we can reach an agreement. When you download the files, you automatically agree to follow the User Conditions stated below.
The World-Wide HYPE
This HYPE model covers an area of 135 million km2, divided into some 131 300 catchments following the river networks. The average size of catchments is 1020 km2. Catchments of deserts and flood plains have larger areas (~4500 km2, and ~3500 km2, respectively), while catchments in step areas at high altitudes have in general smaller areas. The model uses a large number of Open databases and is calibrated against time-series of various sources of observations (both from in situ monitoring and Earth observations). The World-Wide HYPE model is continuously improved and updated in new model versions at SMHI.
How to obtain a piece of the World?
The World-Wide HYPE (i.e. both source code and the input-data files) for extracted geographical domains can be obtained by sending the form below. We may charge an extraction fee of € 4500 for delivery. As a user of the World-Wide HYPE model you commit to give feedback to SMHI about model evaluations, improvements or modifications of the model input-data files or the HYPE code.
Ask for a piece of the World-Wide HYPE (Form)
Send FEEDBACK based on experiences from using the World-Wide HYPE (Form)
User conditions for the World-Wide HYPE model
The hydrological catchment model HYPE (Hydrological Predictions for the Environment) simulates water flow and substances on their way from precipitation through soil, river and lakes to the river outlet. The HYPE code is developed in an open source community (hypecode.smhi.se).
HYPE has been applied in many different regions, e.g. Sweden, Europe, Niger and India. Recently, SMHI has also developed a HYPE-model for the whole world, called World Wide-HYPE.
Party A would like to explore, use and improve the HYPE model for local/regional purposes and party B would like to learn more about hydrology in different regions globally in order to improve the World Wide-HYPE. The Parties therefore enter into this Agreement, in order to specify rights and responsibilities.
The Swedish Meteorological and Hydrological Institute, with principal address: SE- 601 76 NORRKÖPING, SWEDEN, also referred to as “SMHI”.
3 License Conditions
3.1 The License
When downloading the World-Wide HYPE Model you are granted an Open model license: Creative Commons Attribution 4.0 International (CC BY 4.0). https://creativecommons.org/licenses/by/4.0/.
The License for the World-Wide HYPE Model is free of charge.
Your obligations according to the License includes:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor supports or endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures to the original downloads that legally restrict others from doing anything the license permits. Refined products may, however be distributed under other terms or restrictions.
The Model shall be attributed to the Licensor.
In publications the Model should be referred to by pointing at: http://hypeweb.smhi.se/ and by citing relevant scientific publications from SMHI, for instance:
Lindström, G., Pers, C.P., Rosberg, R., Strömqvist, J., and Arheimer, B. 2010. Development and test of the HYPE (Hydrological Predictions for the Environment) model – A water quality model for different spatial scales. Hydrology Research 41.3-4:295-319.
As a user of the World-Wide HYPE Model you commit to give feed-back to the Licensor about model evaluations, improvements or modifications of the Model (or the HYPE code).
The World-Wide HYPE uses a number of input data files describing e.g. physiographic characteristics to account for spatial variability in hydrological processes within and between catchments. The model performance can be seen in Table 1. When setting up the World-Wide HYPE, data from original sources (table 2) is transformed to fit this new purpose of use (re-purposed) and then compiled into the formats requested by HYPE input-data files.
Table 1. Model performance for World-Wide HYPE
|Model performance World-wide HYPE v1.3.1 - 1981-2012|
|No. of gauging stations*||2475||2863|
|* The stations used for calibration and validation have a minimum of 10 years of observations within the period 1981-2012. They also have less than 10 % relative difference between the modelled and published catchment area.|
Table 2. Original data sources
|Data type||Name of Data set||Provider/Reference|
|Topography and routing||"GWD-LR v1.2 [3arcsec]|
|Yamazaki et al., 2014|
|SRTM - Digital Elevation Database [3 arcsec}||U.S. Geological Survey|
|HYDRO1K [30 arcsec]||U.S. Geological Survey|
|Greenland Ice Mapping Project, GIMP[90m]||Howat et al, 2015|
|IMO basin polygons||Veðurstofu Íslanda, 2016|
|Non- contributing Drainage areas AAFC Watersheds project - 2013||Government Canada|
|Waterbodies||Global Lakes & Wetland Database, GLWD||Lehner & Döll, 2004|
|Global reservoir and Dam Database, GRanD v1.1||Lehner et al. 2011|
|ESA CCI waterbodies [150m] v4.0||ESA Climate Change Initiative - Land Cover project 2014|
|GWD-LR v1.2||Yamazaki et al, 2014|
|LakeDepths||Global Lake Data base v2||Kourzeneva, 2009|
|Forcing Data||Hydro-GFD 2.0||Berg et al., 2018|
|Land cover, irrigation and crop type||ESA CCI Land Cover, epoch 2010, v 1.6.1 [300m]||ESA Climate Change Initiative - Land Cover project 2014|
|MIRCA2000||Arendt et al., 2015|
|Global Map of Irrigation Areas, GMIA||Seibert et al., 2013|
|Randolph Glacier Inventory, RGI v 5.0||Arendt et al., 2015|
|Greenland Glacier Inventory||Rastner et al, 2012|
|Discharge and catchment area||Global Runoff Data Base, GRDB||The Global Runoff Data Centre, GRDC|
|European Water Archive, EWA||The Global Runoff Data Centre, GRDC|
|R-ArcticNet v 4.0||University of New Hampshire, UNH|
|RIVDIS v1.1||Vörösmarty et al., 1998|
|USGS-NWIS, national data||U.S. Geological Survey|
|HYDAT, national data||WSC (Water Survey of Canada)|
|Chinese Hydrology Data Project, CHDP||Henck et al., 2011|
|Spain, national data||Spanish authorities|
|RESEAU HYDRO, Congo||CICOS (International Commission for Congo-Ubangui-Sangha Basin)|
|ds553.2 Russian River Data||Byron Bodo, 2000|
|Catchment area||SIEREM||Boyer et al., 2006|
|La Plata basin regional data||CLARIS-project|
|CWC handbook||Central Water Commission, CWC|
|Hydrologic Reference Stations, national data||BOM (Bureau of Meteorology)|
|Red Hidrometrica SNHN 2013||Servicio Nacional de Hidrgrafía Naval|
|Estacoes Fluviometrica||ANA (Agencia Nacional de Aguas)|
|Red Hidrometrica||DGA (Direccion General de Aguas)|
|Catalogo Nacional de Estaciones de Monitoreo Ambiental||IDEAM (Instituto de Hidrologia, Meteorologia y Estudios Ambientales)|
|Estaciones Hidrologicas||Instituto Nacional de Meteorologia e Hidrologia|
|Peru, national data||SENAMHI (Servicio Nacional de Meteorologia e Hidologia del Peru)|
|Venezuela, national data||IGVSB (Instituto Geográfico de Venezuela Simon Bolivar)|
|Conabio 2008||Instituto Mexicano de Tecnología del Agua/CONABIO|
|South Africa, national data||Department Water & Sanitation, Republic of South Africa|
|Mauritsius, national data||Mauritsius Ministry of Energy and Public Utilities|