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CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 wave-hazard projections: average conditions in Orange County

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DataONE2017-09-09 更新2024-06-26 收录
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Model-derived significant wave height (in meters) for the given storm condition and sea-level rise (SLR) scenario. 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.

本数据集提供针对指定风暴条件与海平面上升(Sea-Level Rise, SLR)情景的、由模型推导得到的有效波高(significant wave height,单位:米)。 海岸风暴模拟系统(Coastal Storm Modeling System, CoSMoS)可在数百公里级的大地理尺度上开展米级分辨率的精细化预测,覆盖当前及未来海平面上升情景中风暴引发的海岸洪水与海岸侵蚀。针对南加州的CoSMoS v3.0版本提供了未来气候情景(含海平面上升与风暴过程)的预测结果,可为应急响应人员与海岸规划者提供关键的风暴灾害信息,助力提升公共安全水平、减轻实体财产损失,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: 数据与方法摘要》,可通过以下链接获取:https://www.sciencebase.gov/catalog/file/get/5633fea2e4b048076347f1cf?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf。 南加州Phase 2阶段的数据覆盖了从墨西哥边境至康塞普西翁角(Pt. Conception)的海岸洪水灾害信息。多个区域的预测结果相较于Phase 1阶段已作出多项调整;请务必阅读方法摘要文件并仔细核查输出数据。本数据集所呈现的信息数据完整可靠。

创建时间:
2017-09-14
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