PBosmanatm/ICLASS: ICLASS v1.1

Peter J.M. Bosman*, Maarten C. Krol

*Corresponding author for this work

Research output: Non-textual formSoftware

Abstract

ICLASS v1.1 for reference paper (https://doi.org/10.5194/gmd-16-47-2023), together with observation system simulation experiments and application example, including data from Cabauw. ICLASS v1.1 complements (the Python version of) the Chemistry Land-surface Atmosphere Soil Slab (CLASS) model (https://github.com/classmodel/modelpy, https://classmodel.github.io/), which simulates the evolution of the thermodynamic state and composition of the daytime atmospheric boundary layer, in interaction with the underlying surface. ICLASS v1.1 adds variational data-assimilation that allows assimilation of multiple observational streams to estimate model parameters, and allows to estimate possible biases in observations (for specific bias patterns). The CLASS model included here is slightly adapted compared to the CLASS version as it was on 1 October 2019 on the GitHub link above.

Regarding the Cabauw data: The data included here can somewhat differ from the most recent version of these data. Boundary layer height data were provided by Henk Klein Baltink (KNMI). For the Cabauw data used in the referenced paper, the newest version of the data (except boundary-layer heights) can be found at the following locations: The CO2 mixing ratios can be found at the ICOS (https://www.icos-cp.eu/data-products/ERE9-9D85) and ObsPack (https://gml.noaa.gov/ccgg/obspack/) websites. Temperature, heat fluxes etc. can be found at https://dataplatform.knmi.nl/dataset/?tags=Insitu&tags=CESAR.

ICLASS is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

Original languageEnglish
PublisherWageningen University
Media of outputOnline
DOIs
Publication statusPublished - 22 Oct 2022

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