PREEVENTS Track 1: A transdisciplinary approach to next-gen natural hazard modeling: Improving accuracy and usability of earth surface process models for pre-event risk assessment

自然灾害每年影响成千上万的人；洪水、干旱、极端风暴、山体滑坡、野火和永久冻土侵蚀都改变了地球表面，对人类基础设施造成了巨大的破坏。大多数情况下，人类对灾害的反应是“事后”的，需要转变思维模式，制定一项恢复力战略，以便在灾害发生之前减少对灾害及其影响的脆弱性。这次讲习班将集中在地球表面过程的自然灾害建模方面的不同努力，以实现风险评估建模的共同目标。由此产生的白皮书将为政策制定者、资助机构和科学界提供明确的议程和时间表，以满足改进建模基础、建模网络基础设施、模型-数据耦合和高性能计算能力的需求，以便为自然灾害发生提供信息。本次研讨会旨在召集不同职业阶段的科学家和学生，共同解决自然灾害建模问题。讲习班将以几个现有建模和数据社区的势头为基础；社区地表动力学建模系统、EarthCube与自然灾害工程研究、基础设施设计安全。组织者将召集这些倡议的主要代表进行主题演讲，诊所和广泛的分组讨论。明确地说，他们的目标是通过努力在主题演讲和诊所领导中实现性别平衡来实现包容性，并通过学生建模者奖竞赛和一些多样性津贴，努力吸引来自代表性不足群体的学生。

Natural hazards impact thousands of people every year; floods, droughts, extreme storms, landslides, wildfires, and permafrost erosion all change the Earth's surface and inflict tremendous damage to human infrastructure. Most often, humans respond to disasters "after the fact" and a paradigm shift is needed to a strategy of resilience that would provide a way to reduce vulnerability to disasters and their impacts before they occur. This workshop will focus disparate efforts in natural hazard modeling in the earth surface processes towards a common goal of modeling for risk assessment. A resulting white paper will provide policy makers, funding agencies, and the science community with a clear agenda and timeline on needs for improving modeling fundamentals, and needs for modeling cyberinfrastructure and model-data couplings and high performance computing capability as needed to inform natural hazard occurrence. This workshop aims at bringing in a diverse group of scientists and students across career stages to work towards the problem of natural hazard modeling. The workshop will build on the momentum of several existing modeling and data communities; Community Surface Dynamics Modeling System, EarthCube, and Natural Hazards Engineering Research Infrastructure DesignSafe. The organizers will bring together leading representatives of these initiatives for keynotes, clinics and extensive break-out discussions. Explicitly, they will aim for inclusivity by striving for gender balance in keynotes and clinic leaders, and make a dedicated effort to bring students from underrepresented groups through a Student Modeler Award competition and several diversity stipends.