The Snow Water Equivalent (NewAGE-SWE) model component in JGrass-NewAGE

This is, at the moment, a stub prepared to contain the material related to the paper provisionally entitled: The Cache La Poudre snow water equivalent modelling with JGrass-NewAGE.

The paper has been finally submitted to GMD, and the Discussion Manuscript is therefore visible to everybody on GMDD. The revised version of the paper can be seen instead here.

Here the abstract of the revised paper: "The paper presents a package of a modified temperature index based snow water equivalent model as part of the hydrological modeling system NewAge-JGrass. 35 Three temperature-based snow models are integrated in the
NewAge-JGrass modeling system and use many of its com- ponents such as those for radiation balance (SWRB), kriging (KRIGING), automatic calibration algorithms (particle swarm optimization), and tests of goodness of fit (NewAge-V), to build suitable modelling solutions (MS). Similarly to all the NewAge-JGrass components, the models can be exe- cuted both in raster and in vector mode. The simulation time step can be daily, hourly or sub-hourly, depending on user needs and availability of input data. The MS are applied on the Cache la Poudre river basin (CO, USA) using three test applications. First, daily snow water equivalent is simulated for three different measurement stations for two snow model formulations. Second, hourly snow water equivalent is sim- ulated using all the three different snow model formulations. Finally a raster mode application is performed to compute snow water equivalent maps for the whole Cache la Poudre basin. In all the applications the model performance is satis- factory in terms of goodness of fit relative to measured snow water equivalent time series and the results, and the differences in performances of the different modelling solutions are discussed."

The model, the data, and the simulations' scripts used in the paper will be made available through the appropriate links from this page in order to let people reproduce our results. In fact, we call it Reproducible Research. It is certainly a challenging strategy for any researcher, and sometimes data cannot be disclosed. However, I said what I said, and this is a couple of old posts which fully explain my position (About Scientific Software, No code - No paper).