CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 flood-hazard projections: 100-year storm in Santa Barbara County

Geographic extent of projected coastal flooding, low-lying vulnerable areas, and maxium/minimum flood potential (flood uncertainty) associated with the sea-level rise and storm condition indicated.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/5633fea2e4b048076347f1cf?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully. Data are complete for the information presented.

本数据集涵盖与给定海平面上升及风暴条件相关的预估海岸洪水、低洼易受影响区域的地理范围，以及最大/最小洪水潜势（洪水不确定性）。
海岸风暴建模系统（Coastal Storm Modeling System, CoSMoS）可针对当前及未来海平面上升（sea-level rise, SLR）情景，在数百公里的大地理尺度上开展米级精度的风暴诱发海岸洪水与侵蚀详细预测。面向南加州的CoSMoS 3.0版本提供未来气候情景（海平面上升与风暴）下的预估结果，可为应急响应人员与海岸规划人员提供关键风暴灾害信息，用于提升公共安全、减轻实体损失，并在复杂海岸环境中更高效地管理与调配资源。
模型细节与数据来源详见《CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods》（可通过https://www.sciencebase.gov/catalog/file/get/5633fea2e4b048076347f1cf?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf获取）。南加州第二阶段数据集涵盖从墨西哥边境至Pt. Conception沿岸的洪水灾害相关信息。多个区域的结果均体现了与第一阶段预估结果相比的多项改进，请务必阅读方法总结文档并仔细检查输出成果。本数据集所呈现的信息数据完整。