Data and code for the PhD thesis entitled "Advancing characterization of rainstorm variabilities for urban flood hazard assessment and mitigation"

This package includes data and code used/generated in/by the thesis entitled "Advancing characterization of rainstorm variabilities for urban flood hazard assessment and mitigation".

The data include

• 30-year hourly 0.1° rainfall data over the Greater Bay Area (GBA), China, obtained by multi-source merging and correction techniques
• Calculated annual maximum rain rate at each grid of various time scales based on the merged product
• Land-use maps of the area in 1980 and 2018
• Boundary polygons of the GBA in WGS1984
• Classified grids with marked urban and rural land cover types
• Frequency analysis and intensity-duration curves of the Upper Shenzhen River Watershed
• Calibration of hydrodynamic model in the Upper Shenzhen River Watershed
• Simulated inundation patterns of the Upper Shenzhen River Watershed under various climate scenarios
• Matrix of retention lake performance under corresponding climate scenarios

The codes include

• Fundamental scripts for nonstationary frequency analysis, examples performed for the gridded data of the GBA
• The function to perform Man-Kendall trend analysis for the calculated nonstationary return levels

Fundamental scripts for nonstationary frequency analysis, examples performed for the gridded data of the GBA

The function to perform Man-Kendall trend analysis for the calculated nonstationary return levels