GHWT: Global Heat Wave Toolbox
Tool interfaceUsing three historical reanalysis data and multi scenario CMIP6 modeled data, Global Heat Wave Toolbox (GHWT) was developed to generate heat wave matrix from 1971 to 2100.
A long-term global heat wave record dataset was constructed using three historical hourly climate data of CRU-JRA, ERA5 and GLDAS and future daily climate data of GFDL-ESM4 under three SSPS (Shared Socioeconomic Pathways). These datasets are based on constant thresholds over 35 °C, percentile thresholds over 90%, and duration thresholds over 3 days. The Python file is the source code for the Global Heat Wave Toolbox, which can be used to generate heat wave records based on custom thresholds.
I am an early-career climate scientist pushing the boundaries of understanding wildfires and climate extremes using hydroclimatic, data-driven, and geostatistical approaches. My work has led to step-changes in understanding the synchronicity and persistence of extreme fire weather, factors that strongly influence extreme fires.
I work with Prof. John Abatzoglou, who leads the Climatology Lab at University of California, Merced.