Data_error analysis in the WAM2layers moisture tracking model under data limitations

DOI:10.4121/8491b1ea-9964-4db6-9c64-93382945eb24.v1
The DOI displayed 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: 10.4121/8491b1ea-9964-4db6-9c64-93382945eb24
Datacite citation style:
Yang, Ke (2025): Data_error analysis in the WAM2layers moisture tracking model under data limitations. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/8491b1ea-9964-4db6-9c64-93382945eb24.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset examines the error comparison of the WAM2layers model under varying data conditions, including differences in vertical layers, water column corrections, and time resolutions. The code structure includes the raw dataset, the integration and processing code tailored to different research questions, and the analysis code for evaluating the results after model analysis.

5 sub-questions are:

  1. What are the differences between Total Column Water (TCW) and Total Column Water Vapour (TCWV)?
  2. What is the difference in results by using Total Column Water (TCW) and Total Column Water Vapour (TCWV) in the WAM2layers?
  3. How much error is introduced in WAM2layers by using pressure levels instead of model levels?
  4. How do pressure level settings affect the accuracy of simulations in the WAM-2layers model?
  5. How do time resolution settings affect the accuracy of simulations in the WAM-2layers model?

History

  • 2025-01-27 first online, published, posted

Publisher

4TU.ResearchData

Format

Jupyter Notebook/.ipynb; script/.py; NetCDF/.nc

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management, Environmental Engineering

DATA

Files (1)