Research Data Leeds Repository

Citation

Mroz, Elizabeth and Smith, Mark and Willis, Thomas and Trigg, Mark (2024) Codes and Data - Climate Change Assessment of Barotse Floodplain Floodwave. University of Leeds. [Dataset] https://doi.org/10.5518/1584

Dataset description

This dataset includes climate forcing data, hydrological and hydrodynamic model outputs, flood pulse calculations, and geographical vector files for modeling the hydrology and flood dynamics of the Upper Zambezi Basin. It uses climate projections from ISIMIP and models from HYDROMAD and LISFLOOD-FP. The dataset contains daily precipitation, temperature, discharge projections, daily flood extents, and monthly water depth simulations. Spreadsheets detail flood pulse variable calculations, and the dataset also includes codes for modeling, analysis, and figure production. The structure aligns with the associated research paper, with folder names matching relevant sections.

Subjects:	F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F750 - Environmental sciences > F752 - Hydrology F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F760 - Climatology > F764 - Climate & climate change F000 - Physical sciences > F800 - Physical geographical sciences > F840 - Physical geography
Divisions:	Faculty of Environment > School of Geography
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	10 Oct 2024 14:30
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1331
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Mroz, Elizabeth https://orcid.org/0000-0002-5204-1811 University of Leeds https://ror.org/024mrxd33 ror Smith, Mark https://orcid.org/0000-0003-4361-9527 University of Leeds https://ror.org/024mrxd33 ror Willis, Thomas https://orcid.org/0000-0003-0103-1805 University of Leeds https://ror.org/024mrxd33 ror Trigg, Mark https://orcid.org/0000-0002-8412-9332 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: NERC Grant numbers: NE/S007458/1 Publication date: 2024 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: gy16e3m@leeds.ac.uk Last Modified: 10 Oct 2024 14:42

Files

Documentation

README.docx [32kB] README.docx [32kB] README.docx [32kB] Security: Anyone File name: README.docx Content type: Documentation Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 32kB

Data

Climate [32MB] Climate [32MB] Climate [32MB] Security: Anyone File name: 1_Climate.zip Content type: Data Description: CSVs of ISIMIP climate input data and Zambezi subcatchment vectors Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 32MB

Hydrological modelling [35MB] Hydrological modelling [35MB] Hydrological modelling [35MB] Security: Anyone File name: 2_Hydrological_modelling.zip Content type: Data Description: R codes and an Excel worksheet of parameter data for the five Upper Zambezi hydrological models, and CSVs of the modelled discharge outputs, plus WARMA river gauge information in a text document. Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 35MB

Hydrodynamic modelling and flood pulse variables [30MB] Hydrodynamic modelling and flood pulse variables [30MB] Hydrodynamic modelling and flood pulse variables [30MB] Security: Anyone File name: 3_Hydrodynamic_modelling_and_flood_pulse_variables.zip Content type: Data Description: Shapefiles of the Barotse Floodplain model boundary and rivers, Excel worksheets detailing calculation of flood pulse variables, all raw hydrodynamic model outputs in both MASS and CSV format, and water depths in WD format. Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 30MB

Statistical analysis [91kB] Statistical analysis [91kB] Statistical analysis [91kB] Security: Anyone File name: 4_Statistical_analysis.zip Content type: Data Description: CSVs of summed DJF precipitation, CSV of mean monthly TAS and an Excel worskeheet of conversion to PET, and Python codes for the PET and precipitation analysis, plus for ANOVA and Kruskall-Wallis statistical analysis. Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 91kB

Codes for figures [2kB] Codes for figures [2kB] Codes for figures [2kB] Security: Anyone File name: Figure_Codes.zip Content type: Data Description: Python codes for Figure 4 (boxplot of differences in flood pulse variables) and Figure 8 (scatterplot of Kuomboka occurence). Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2kB