The snow-modelling part of the hydrological models integrating a snow component (Snow-GSM, GSM, SOCONT and HBV) has been improved. In former versions of RS MINERVE, the information of Snow water equivalent (SWE) was not directly available. The user only had access to two variables from which the SWE value could be computed: Hsnow, corresponding to the solid fraction of the SWE, and Theta, providing the relative water content.
From the new version 2.6, the variable Hsnow has been replaced by the variable SWE, accounting for both the liquid and the solid fraction of the snow pack:
SWE = Hsnow (solid fraction) + Wsnow (liquid fraction)
Analyses of the snow pack through an information accounting for the entire water content of the snow pack should thereby be made easier to RS MINERVE users.
When simulating in RS MINERVE, precipitation and temperature intensities are interpolated from the nearest stations using either Thiessen Polygons (nearest point) or the Shepard method, also known as the Inverse distance weighting method.
In the process of interpolation, a vertical gradient can be also used. For temperature, it is an additive term, whereas for precipitation it is a multiplicative coefficient.
By default for precipitation, it is set to 0 (no gradient). As from the version 184.108.40.206, available as Beta since June 23rd 2017 and officially released on July 17th 2017, the unit of this gradient has been modified. The gradient of precipitation is newly expressed in [1/m], corresponding to percentage of increase/decrease per meter.
In addition, the gradient for the Potential Evapotranspiration has been also redefined in the same way.
Example : if the user wants to increase the precipitation by 20 per cent for each 1000 meters of altitude, the coefficient is equal to (20/100)/1000 = 0.0002.
The Technical manual of RS MINERVE has been consequently updated .
The parameters introduction for the GR4J model has been slightly modified. Until version 220.127.116.11, the so-called transformed values had to be entered in RS MINERVE. As from version 18.104.22.168, released today as Beta version (available here), the real values will have to be entered.
The initial choice of using transformed values was based on users recommendations. However, using real values has the considerable advantage of having a physical meaning, for example for the store capacities in meter defined by the parameters X1 and X3. It also allows quick comparison between the parameters and the state variables.
When opening a .rsm model created with previous versions of RS MINERVE, a conversion into the new GR4J model version is proposed to automatically convert the values. Thereby, users will be able to continue working with their already existing models (Warning : once converted, no way back !).
Snow melting is an important component of the hydrological cycle, in particular in mountainous areas. Modelling adequately this process is therefore important.
This led to the improvement of the snow-melting equations of the Snow-GSM, GSM and SOCONT models in RS MINERVE. Until now, the degree-day snowmelt coefficient, defining the quantity of melted snow per day as a function of temperature (mm/°C/day), was a constant factor. In the latest release of RS MINERVE, this coefficient can now vary over the year (see title image). The new parametrization is given by :
- A reference degree-day snowmelt coefficient (Asn)
- A degree-day snowmelt interval (AsnInt)
- A phase shift of the sinusoidal function (AsnPh)
The first parameter defines the average degree-day snowmelt coefficient and the second parameter the interval of variation of the coefficient over the year. The third parameter defines the phase shift of the sinusoidal curve with respect to the first day of the year. As a first guess, it is recommend to use the day number of the year corresponding to the beginning of spring (80 for the Northern hemisphere, 264 for the Southern hemisphere).
Since July 2015, the CREALP (Centre de recherche sur l’environnement alpin) provides hydrological forecasts based on the new software version RS MINERVE 2.0. The forecast results are used as a basis for flood prediction and flood emergency response planning for the Canton of Valais.
Three times a day, the operational system performs real-time forecasts using RS MINERVE 2.0 with command-line scripts. Two simulation tasks are run at each time:
- The first task, called ‘Control simulation’ simulates the last 24 hours, based on observed meteorological and measured river discharges. This task serves as control and variable initialization for the second task.
- The second task is the ‘Forecast simulation’ which provides predicted flows for the Rhone and its tributaries, using the COSMO-7 meteorological forecast from MeteoSwiss.
Called from a DOS Terminal, each task is composed of a VBScript containing all the functions required to perform a hydrological simulation, such as launching RS MINERVE, opening the model, loading the inputs, performing the simulation and saving the results.
Documentation about the use of command-line scripts will be available with the official release of RSMinerve 2.0 in Fall 2015.
The recently published version of RS MINERVE (1.1.0) offers a new object, developed by Hydro10 Association, named Structure efficiency. With a simple efficiency coefficient, it allows computing effects of discharge losses in a structure such a canal or a pipe (Output = Input * Efficiency_coefficient).
Users can now model, for example, losses in an irrigation canals network. By changing the coefficients of all Structure efficiency objects in only a few clicks, assessment of losses reduction in the network can now easily be performed.
The developments achieved in 2014 (Consumer, Hydropower, Structure efficiency, etc), trends to easily understand and improve water management to end users.
The course ‘Hydrological and hydraulic modelling with RS MINERVE’ has been held on May 6th to 8th 2014 in the Headquarters of the National Service of Meteorology and Hydrology of Peru (SENAMHI), in Lima, Peru. Theoretical and practical parts have been combined to provide the required knowledge to model hydrological basins with the help of RS MINERVE, one of the tools supported by Hydro10. About 30 participants from different Peruvian organizations have taken part with great interest and great success.
The course, taught by Javier García Hernández and Alain Foehn, from the Centre de recherche sur l’environnement alpin (CREALP) and both members of the Steering committee of Hydro10, was organized in collaboration with the SENAMHI, the CREALP, the University of Zurich, the Swiss Agency for Development and Cooperation (SDC), Meteodat, Care Perú, ProyectoGlaciares and the Ecole Polytechnique Férédale de Lausanne (EPFL).
More information (in spanish) on this webpage.