Skip to main content

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

Project description

HBV-BMI

PyPI

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).) model_layout.png

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

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hbv-1.3.0.tar.gz (930.6 kB view details)

Uploaded Source

Built Distribution

hbv-1.3.0-py2.py3-none-any.whl (16.4 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file hbv-1.3.0.tar.gz.

File metadata

  • Download URL: hbv-1.3.0.tar.gz
  • Upload date:
  • Size: 930.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for hbv-1.3.0.tar.gz
Algorithm Hash digest
SHA256 fe1a3d844c83e41745ced1d9f7053d7af8106e4c0adda0a84e995cdac3eb77bc
MD5 86b1a6d2a4ee94b81edc024ad5639723
BLAKE2b-256 dcc4e8c206dbb5559c4996a0f69ca0d22cd673dbd848ae2a374373d3d03851e9

See more details on using hashes here.

File details

Details for the file hbv-1.3.0-py2.py3-none-any.whl.

File metadata

  • Download URL: hbv-1.3.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 16.4 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for hbv-1.3.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ccedbb1c4cd51a878a3484b0bc6afadd9bcb899c239447fbf263f4ce0d9e8f69
MD5 9e2c24274acbc00bd02fec7ea71fe008
BLAKE2b-256 5a688c94da3e3d23e6206871fd0435b2256999806f47620360aa8d958d85e189

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page