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

Wang, Liang; J. Heimovaara, Timo (2024): Data and scripts underlying the manuscript: Quantifying landfill emission potential using a weakly coupled particle filter. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/1a723aee-a309-43a3-8d62-1cb68be6cff6.v2

Dataset

x choose version: version 1 - 2023-10-12

• Geochemistry
• Applied Mathematics
• Earth Sciences
• Mathematical Sciences

Data assimilation, state estimation, travel time distribution model

MIT

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Liang Wang, Timo J. Heimovaara

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 (We use a_* to generate synthetic truth, b_* to generate initial particles, c_* to evaluate the ensemble generation performance, d_* to run DA, e_male_plots to generate some plots. Scripts with s in the name use small initial bulk storage). The current zip file already includes all the generated model output files. You can find them in subfolders like plots and process_data. In the subfolder results_2TTc, there are the optimization results from DREAM. We call them in the script a_ to create synthetic truth.

• 2023-10-12 first online

• 2024-07-12 published, posted

4TU.ResearchData

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Engineering