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Natural Hazards, Climate Risk, and Earth Sustainability

Blog

  • From March 1-9, 2024 a team comprising of MIT, KUET, and BRAC surveyed southwest Bangladesh to gather surficial salinity measurements (river and soil), specifically Electrical Conductivity, at hitherto unprecedented resolution. Under an MoU between ESSG and KUET, the samples are…

  • Simulating TC Sidr

    Simulating TC Sidr over Bangladesh  More details about our model development and validation process can be found in the following table and figures: Parameters Used to Spatially Distribute element Resolution Edgelength function Parameter min reso 1 km max reso 20…

  • Modeling the risk of extreme weather events in a changing climate is essential for developing effective adaptation and mitigation strategies. Although the available low-resolution climate models capture different scenarios, accurate risk assessment for mitigation and adaption often demands detail that…

  • Sai Ravela, Joaquin Salas, Anamitra Saha, A Machine Learning Approach to Surface Roughness Length Estimation In this project, we estimate surface roughness length (z0), a critical boundary layer parameter. Our results are provided at 1km spatial resolution and are meant…