HBV 1.4.0

Dev version for a HBV hydrological model using BMI for eWaterCycle.

HBV-BMI

Basic Model Interface (BMI) HBV model intended for use with eWaterCycle. See said repo for installation instructions.

HBV (Hydrologiska Byråns Vattenbalansavdelning) is a conceptual hydrological model. For more information on its history, see this paper.

This current implementation is without a snow reservoir, as shown below. (Image from the course ENVM1502 - river basin Hydrology (Markus Hrachowitz).)

Actual eWatercycle model wrapper can be found on GitHub with accompanying documentation

Feel free to fork/duplicate this repo and publish your own (better) version.

separate use

Can also be used as a standalone package in theory - not advised:

pip install HBV

Then HBV becomes available as one of the eWaterCycle models

from HBV import HBV

model = HBV()

Be aware of the non-intuitive BMI implementation as this package is designed to run in a docker container.

Changelog

v1.0.0

• working basic version after various testing versions

v1.0.1 - v1.0.3

• various bug fixes etc. (last time using live as a dev branch -> bad practice)

v1.1.0

• added support for updating memory vector on the fly for Data assimilation.

V1.1.1

• bug fix in T_lag value: can now only be set an integer larger than 1: otherwise makes no physical sense
• bug fix where wrong types were given, warning messages cleaned up and code attempted to be made more readable

V1.2.0

• pretty big issue with setting values fixed - won't affect most use but will cause issues for Data Assimilation
• use opportunity to name all HBV packages/naming/images to 1.2.0

V1.3.0

• Change Q_m to Q in order to better integrate data assimilation & just makes more sense.

v1.3.1

• Fix bug in time indexing

v1.3.2

• typo in update updating_dict_var_obj: was getting values wrong

V1.4.0

• adding snow reservoir