Amy Foxgrover

First Release: November 2018 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 v3.1 for Central 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. Data for Central California covers the coastline from Pt. Conception to Golden Gate Bridge....

Categories: Data Release - Revised; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Erosion, Extreme Weather, Floods, Hazards Planning, Mathematical Modeling, Ocean Waves, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, San Mateo County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, Wind, climate-change effects, waves, Fewer tags

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 3.2 for Northern 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. Data for Northern California covers the coastline from Golden Gate Bridge to the California-Oregon state border.

Categories: Data; Tags: Beaches, CMHRP, Climate Change, Climatology, ClimatologyMeteorologyAtmosphere, All tags... Coastal and Marine Hazards and Resources Program, Coastal erosion, Del Norte County, Earth sciences, Erosion, Extreme Weather, Hazards Planning, Humboldt County, Marin County, California, Mathematical Modeling, Mendocino County, Northern California, Ocean Waves, Ocean Winds, PCMSC, Pacific Coastal and Marine Science Center, Sea-Level Rise, Sea-level Change, Sonoma County, California, State of California, Storm Surge, Storms, USGS, climate-change effects, waves, wind, Fewer tags

First release: Nov 2015 Revised: Jan 2016 (ver. 1a) Revised: Oct 2016 (ver. 1b) Revised: Jan 2017 (ver. 1c) Revised: Feb 2017 (ver. 1d) Revised: Apr 2017 (ver. 1e) Revised: Jun 2017 (ver. 1f) Revised: May 2018 (ver. 1g) 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...

Categories: Data Release - Revised; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Geomorphology, Land Use Change

Mean high water (MHW) shorelines along the coast of California used to calculated shoreline change from 1998 to 2016

This data release contains mean high water (MHW) shorelines for sandy beaches along the coast of California for the years 1998/2002, 2015, and 2016. The MHW elevation in each analysis region (Northern, Central, and Southern California) maintained consistency with that of the National Assessment of Shoreline Change. The operational MHW line was extracted from Light Detection and Ranging (LiDAR) digital elevation models (DEMs) using the ArcGIS smoothed contour method. The smoothed contour line was then quality controlled to remove artifacts, as well as remove any contour tool interpretation of human-made infrastructure (such as jetties, piers, and sea walls), using satellite imagery from ArcGIS.

Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: CMHRP, CenCal, Central California, Climate Change, ClimatologyMeteorologyAtmosphere, All tags... Coastal and Marine Hazards and Resources Program, El Nino events, El Nino-Southern Oscillation, NorCal, Northern California, Oceans, PCMSC, Pacific Coastal and Marine Science Center, Physical Habitats and Geomorphology, Sea-level Change, SoCal, Southern California, State of California, Storms, U.S. Geological Survey, USGS, coastal erosion, sea level change, waves, Fewer tags

Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P1332UUW. This data release provides bathymetric change grids of four geographic areas of San Francisco Bay, California, comparing digital elevation models (DEMs) created from bathymetric data collected in the 1970s and 1980s with DEMs created from bathymetric data collected in the 2010s and 2020. These types of change analyses can provide information on the quantities and patterns of erosion and deposition in San Francisco Bay over the 9 to 47 years between surveys, and they reveals that the bay floor lost about 34 million cubic meters of sediment between the intervening time period. Results from this study can...

Categories: Data; Tags: Geomorphology, Hydrology, Marine Geology, Sedimentology, Water Quality