LUE-0.3.0 released

We have released version 0.3.0 of LUE. This version contains new flow accumulation algorithms that scale well over CPU cores and cluster nodes, and that compose well with other modelling operations. As the version number shows, LUE is not yet ready for production, but every new release gets us closer to that point. We will release Conda packages including the LUE framework ASAP.

List of closed issues associated with this release: https://github.com/computationalgeography/lue/milestone/2?closed=1

EGU General Assembly 2021

Runoff

During this year's EGU General Assembly we will present initial results of porting the existing PyCatch catchment model from the PCRaster modelling framework to LUE. This allows the model to be used on much larger areas in greater temporal and spatial detail. We ran the model for Africa at 3 arc-second resolution. The run used 12 cluster nodes containing 1152 CPU cores in total.

EGU21-7154 | vPICO presentations | HS2.5.1
Global scale hydrological modelling at 100 m, 1 h resolution, in Python
Kor de Jong, Marc van Kreveld, Debabrata Panja, Oliver Schmitz, and Derek Karssenberg
Thu, 29 Apr, 09:19–09:21

Source code transferred

We moved the LUE source code repository from the PCRaster organization to the Computational Geography organization. Both are Github organizations. If you have a local clone pointing to the LUE repository in the PCRaster organization, then we advise you to update it to point to the new repository URL:

# Use git instead of https if you have the required rights
git remote set-url origin https://github.com/computationalgeography/lue.git

Conda package released

Yesterday, we released the first version of the LUE Conda package. This makes installing LUE as easy as:

conda install -c conda-forge lue

You can find more information about installing LUE, including links to the Conda package manager, in the installation manual.