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 include30-year hourly 0.1° rainfall data over the Greater Bay Area (GBA), China, obtained by multi-source merging and correction techniquesCalculated annual maximum rain rate at each grid of various time scales based on the merged productLand-use maps of the area in 1980 and 2018Boundary polygons of the GBA in WGS1984Classified grids with marked urban and rural land cover typesFrequency analysis and intensity-duration curves of the Upper Shenzhen River WatershedCalibration of hydrodynamic model in the Upper Shenzhen River WatershedSimulated inundation patterns of the Upper Shenzhen River Watershed under various climate scenariosMatrix of retention lake performance under corresponding climate scenariosThe codes includeFundamental scripts for nonstationary frequency analysis, examples performed for the gridded data of the GBAThe function to perform Man-Kendall trend analysis for the calculated nonstationary return levelsFundamental scripts for nonstationary frequency analysis, examples performed for the gridded data of the GBAThe function to perform Man-Kendall trend analysis for the calculated nonstationary return levels