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

<p dir="ltr">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".</p><p dir="ltr">The data include</p><ul><li>30-year hourly 0.1° rainfall data over the Greater Bay Area (GBA), China, obtained by multi-source merging and correction techniques</li><li>Calculated annual maximum rain rate at each grid of various time scales based on the merged product</li><li>Land-use maps of the area in 1980 and 2018</li><li>Boundary polygons of the GBA in WGS1984</li><li>Classified grids with marked urban and rural land cover types</li><li>Frequency analysis and intensity-duration curves of the Upper Shenzhen River Watershed</li><li>Calibration of hydrodynamic model in the Upper Shenzhen River Watershed</li><li>Simulated inundation patterns of the Upper Shenzhen River Watershed under various climate scenarios</li><li>Matrix of retention lake performance under corresponding climate scenarios</li></ul><p dir="ltr">The codes include</p><ul><li>Fundamental scripts for nonstationary frequency analysis, examples performed for the gridded data of the GBA</li><li>The function to perform Man-Kendall trend analysis for the calculated nonstationary return levels</li></ul><p dir="ltr"><br></p><p dir="ltr">Fundamental scripts for nonstationary frequency analysis, examples performed for the gridded data of the GBA</p><p dir="ltr">The function to perform Man-Kendall trend analysis for the calculated nonstationary return levels</p>