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

自然灾害每年影响数以千计的人；洪水、干旱、极端风暴、山体滑坡、野火和永久冻土侵蚀都会改变地球表面，并对人类基础设施造成巨大破坏。大多数情况下，人类对灾害的反应是“事后”的，需要转变为一种复原力战略，以便在灾害发生之前减少对灾害及其影响的脆弱性。该讲习班将侧重于地球表面过程中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一个明确的议程和时间表，说明改进建模基础知识的需求，以及为自然灾害发生提供信息所需的建模网络基础设施和模型-数据耦合和高性能计算能力的需求。这次研讨会的目的是让不同职业阶段的科学家和学生共同致力于自然灾害建模问题。研讨会将在现有的几个建模和数据社区、社区表面动力学建模系统、EarthCube和自然灾害工程研究基础设施DesignSafe的基础上再接再厉。组织者将汇集这些倡议的主要代表，进行主旨演讲、诊所和广泛的分组讨论。明确地说，他们将通过努力在主旨演讲和诊所领导人中实现性别平衡来实现包容性，并致力于通过学生模特儿奖竞赛和几项多样性津贴来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.