nikozhai/lumphydro

WEB APP of Model HBV96

lumphydro's Issues

Fexible, user-definable model time step

The model was developed and tested by computing daily data, which meets hardly user's demands for a shorter timestep.

hbv-core supports generically different kinds of computation timesteps, while the front-end js widgets for date input do not.

So, this issue is to aims to find radical solution for this problem.

Good luck.

Simplification of the schematisation and multi-browser support

The very current version of HBV-Web application has a bench of issues with the schématisation :

1. The web widgets for parameter inputs use a "customized" bootstrap input group, which caused very complex markup works and problems for multi-screensize devices.

2. The widgets size was defined with web-browser font size which means they may vary dramatically depending on user configurations.

3. Widgets are superposed layer by layer (css z-index), which made the application messed up with a bench of different z-indexes.

In order to solve this, I proposed to make parameter labels integrated in the SVG image. So that we can attach corresponding input widgets to them by querying their client side coordinates. This is currently a wish.

Good luck !

About Project Management

In the current application, we can save and load model configurations through JSON file.

Now, we aim to create a way to store the whole modelling project, which is desired to be more sophisticated, informative and systematical.

Considering that Django supports varies of manipulations on database,on which we can have a first try.

• An SQL database, storing information with JSONified plain-text.
• NoSQL, such as MongoDB to give the prospective of developing cloud service ?

Good Luck !

Update feature: New plots (hydrological regime, Buttons for fixed period, other performance indicators)

This issue concerns plot enhancement.

New graphs as well as buttons for fixed plotting range are desired.

update 19 October 2017

Package update and sample csv file

Your Django implementation of the HBV model is excellent! I got it to work, but there are two things I'd like to point out:

1. Some of the packages in the dependency file are outdated. So, it was not straightforward to get the packages installed properly at first
2. The model runs well after the package updates. But it requires an input csv file to get it work with the sample parameters. What is the format of the required csv file? Could you upload a sample to the GitHub page?

Thank you for your great contribution to the scientific community.