HYPE







Short Name: HYPE

Long Name:  HYdrological Predictions for the Environment

Model Type: Continuous; semi-distributed

Flood Mechanism: Riverine flood; rainfall-only and rainfall-snowmelt; flash flood




Usage: Surface water hydrology with aquifer, short range and seasonal flow forecasting, climate impact studies, flow frequency studies, water balance studies, reservoir operation, water quality studies. 

Special Features:
Integrated hydrological and water quality model, tunable reservoir regulation schemes, land management routines (e.g. crop characteristics, substance emission from point sources), data assimilation methods. 
 
Background:
HYPE simulates water flow and substances on their way from precipitation through soil, river and lakes to the the river outlet. The model is forced by precipitation and temperature plus optionally other variables and then calculates flow paths in the soil based on snow melt, evapotranspiration, surface runoff, infiltration, percolation, macropore flow, tile drainage, and lateral outflow to the stream from soil layers with water content above field capacity. The groundwater level fluctuating and may saturate the soil layers. The basic modeling unit is a subcatchment, which is further subdivided into hydrological response units (HRUSs) as unique combinations of soil type and landcover. Gridded analysis is also supported with gridded atmospheric components. Tools are included for parameter estimation (optimization). The first version was released in 2010. Development is very active with continuous update of the model version with additional components and bug fixes. The current version 5.23.1 was released in July 2023. 
Channel Routing:
Available methods for flood wave routing

A conceptual routine which simulates attenuation and delay in rivers.

 
Reservoir Operation:
Available methods for reservoir routing and gate control operations if any

Specified release, general or reservoir specific storage-discharge relationship.

 
Shortwave Radiation:
Available methods for shortwave radiation

Specified time-series, FAO56.

 
Longwave Radiation:
Available methods for longwave radiation

 FAO56

 
Precipitation:
Available methods for precipitation

Sub-catchment average. Undercatch adjustment with respect to elevation or form of precipitation as as optional parameter. 

 
Evapotranspiration:
Available methods for potential evapotranspiration

Specified time-series, temperature based routine, Modified Hargreaves-Samani, Modified Jensen-Haise, Priestley Taylor, FAO Penman Monteith.

 
Snowmelt:
Available methods for snow accumulation and melt

Degree-day factor method, degree-day with radiation index, fractional snow cover.

 
Infiltration:
Available methods for infiltration

Threshold dependent and modulated by macropore flow, surface runoff and frozen soil. 

 
Surface Runoff:
Available methods for surface runoff
Infiltration excess, saturation excess.
 
 
Baseflow:
Available methods for subsurface baseflow
Computed from soil type dependent recession constants from soil layers. 
Input Data:
What types of input data are required for the model

Precipitation, air temperature for snowmelt and  evapotranspiration. 

 
Input Format:
What file formats can be used for input data

Text file, netCDF file under development. 

 
Input Time Interval:
What time interval is required for input data, and how are daily values utilized

Typically hourly to daily, other time steps are possible but not tested extensively, Evapotranspiration routine availability is currently limited in all time steps other than daily. 

 
Optimization or calibration:
What tools are available for calibration and optimization

Multiple optimization algorithms are available for estimating parameters using observed flow data. There are nine methods (sampling methods and directional methods) of optimization to choose from in HYPE.

 
Data Assimilation:
Can observed flow and previous forecast flow be used to update the forecast flow

Observed flow data can be used to replace simulation flow during forecasting.

 
Ensemble:
Can ensemble meteorologic forecasts be used in the model

Yes, HYPE can be run with flag ‘-sequence’ to use ensemble forecasts. 

 
Uncertainty:
How is uncertainty represented in the outputs

Indirectly if ensembles are run, either forecast ensembles or parameter ensembles.

 
Simulation Time Interval:
What time interval is used for simulation

Typically hourly to daily, other time steps are possible bu no tested extensively. Evapotranspiration routine availability is currently limited in all time steps other than daily. 

 
Model Output Time-Series:
What types of output time-series are available

A multitude of model state and flux variables re available, including surface water, snow, sub-surface reservoir variables. Outputs cover model variables which correspond to observation time series and internal process variables for diagnostic model evaluation. 

 
Time-Series Format:
What is the file format for output time-series data

Text file, netCDF file under development. 

 
Model Output Statistics:
What types of output statistics are available

Flows neccesary for showing mass balance, comparisons to observed data. 

 
Statistics Format:
What is the file format for output statistics data

Text file

 
Inventory Platform availability:
Platforms from this inventory in which this model can be integrated
 
 
Additional Platform Availability:
Additional platforms in which this model can be integrated
 
Installation:
Difficulty level for installation and configuration
No installation. Compile source code and run executable. 
 
User Education:
Education level recommended for users
BSc
 
Degree of Difficulty:
Score from 1 (difficult) to 5 (easy) rating the overall difficulty of use
3
 
GIS Support:
How much GIS support is included for watershed delineation and parameter estimation
A stand-alone GIS tool is developed (World Hydrological Input Set-up Tool, WHIST). 
 
Data Preparation:
What tools are included for importing and preparing time-series data
Data can be prepared with any work flow which can produce tabular text files. An R package ‘HYPEtools’ exist with support functions for working with HYPE data files. 
 
Land Surface Parameters:
Parameters for infiltration, surface runoff, baseflow for each catchment
Parameters are either general, or soil type or landuse class dependent. No minimum number of classes is prescribed by the model. 
 
Parameter Estimation:
What tools are included for estimating model parameters from physical data
HYPE includes a regionalisation of general parameters (i.e., not soil or landuse dependent) based on physical catchment properties. 
 
Model Calibration:
What tools are included for model calibration
Manual adjustment, automatic optimization. 
 
Model Verification:
What tools are included for model verification
Nash-Sutcliffe, Kling Gupta efficiency, percent bias, RMSE, standard deviation among others. Additionally, domain-wide performance summary statistics are available for model verification.
Hardware Requirements:
Minimum hardware requirements
PC 

Operating System:
Operating system – MS Windows, LINUX
Microsoft Windows, Linux

Language of Core Code:
Programming language used for the core code (e.g. Fortran, C++, Java). If workflow scripting is supported (e.g. Python) then please specify
Fortran

Open Source:
Open source or closed source
Yes

Last Update and Version:
Date of latest update and the version number for the release
July 2023 (Version 5.23.1)

Next Update and Version:
Date of next planned update and the version number for the release
Not specified. Continuous updates. 

Active Development Community:
Is there an active developer community with regular updates and new releases?
Yes

Free to Download and Use:Yes 

Language of Software Interface:
English

Online Support URL:

 http://hypecode.smhi.se/


Training Material URL (including example data sets): http://www.smhi.net/hype/wiki/doku.php?id=start:hype_tutorials

Language of Trainings:
English

Guidance Material URL (including case studies and benchmarking of performance/speed): 



 
 

Language of Guidance:

English


References:
Lindström, G., Pers, C.P., Rosberg, R., Strömqvist, J., 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.
Owner, Developer:

 

US Swedish Meteorological and Hydrological Institute (SMHI)Army Corps of Engineers
http://hypecode.smhi.se/

Mailing Address:
Swedish Meteorological and Hydrological Institute (SMHI)
Folkborgsvägen 1
601 76 Norrköping
Sweden

Phone:  +46 11.495.8000

Fax: +46 11.495.8001

HYPE