Data underlying the manuscript: Quantifying landfill emission potential using a weakly coupled particle filter

doi: 10.4121/1a723aee-a309-43a3-8d62-1cb68be6cff6.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/1a723aee-a309-43a3-8d62-1cb68be6cff6
Datacite citation style:
Wang, Liang; J. Heimovaara, Timo (2023): Data underlying the manuscript: Quantifying landfill emission potential using a weakly coupled particle filter. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/1a723aee-a309-43a3-8d62-1cb68be6cff6.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Repository for manuscript: Quantifying landfill emission potential using a weakly

coupled particle filter. It includes the input and measurement data (rainfall, EV, outflow, concentration), the model scripts in folder landfillmodules, the data assimilation scripts in folder BB11Z_noexchange. To use the script, you need to run the code following the description in the manuscript. The current zip file already includes all the generated model output files. You can find them in subfolders like plots, process_data. In subfolder results_2TTc, there are the optimization results from DREAM. We call them in script a_ to create synthetic truth.

history
  • 2023-10-12 first online, published, posted
publisher
4TU.ResearchData
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Engineering

DATA

files (1)