Jonathan Warrick
My research focuses on the intersection of rivers and the sea. Topics include the movement of sediment within and from coastal watersheds, and how sediment can alter coastal landscapes and habitats. Recently these subjects have been addressed in my work on the Elwha River, Washington, where the largest dam removal project in U.S. history was completed in 2014.
Biography
Education
Ph.D., 2002, University of California, Santa Barbara
M.Sc., 1995, University Wisconsin-Madison
B.Sc., 1993, California Polytechnic State University, San Luis Obispo
Experience
Research Geologist, GS-15, 2016-present, USGS Pacific Coastal and Marine Science Center, Santa Cruz, California
Research Geologist, GS-14, 2008-2016, USGS Pacific Coastal and Marine Science Center, Santa Cruz, California
Research Geologist, GS-13, 2004-2008, USGS Pacific Coastal and Marine Science Center, Santa Cruz, California
Mendenhall Postdoctoral Fellow, GS-12, 2002-2004, USGS Coastal and Marine Geology Program, Menlo Park, California
In The News
2017, Los Angeles Times article, “Highway 1 was buried under a massive landslide. Months later, engineers battle Mother Nature to fix it”
2016, The Department of Interior and Lower Elwha Klallam Tribe, International RiverPrize Finalist
2015, New York Times article, “When Dams Come Down, Salmon and Sand Can Prosper”
2014, National Geographic news article, “World’s Largest Dam Removal Unleashes U.S. River After Century of Electric Production”
2013, Book, “Elwha: A River Reborn”
2012, Front-page Seattle Times article, “Dam gone, nature rebuilds Elwha River beach”
2009, Science Daily article, “Sediment Yield From The Tectonically Active Semiarid Western Transverse Ranges Of California”
2006, Environmental Science & Technology news article, “California’s Shifting Sands”
Science and Products
Remote Sensing Coastal Change
We use remote-sensing technologies—such as aerial photography, satellite imagery, structure-from-motion (SfM) photogrammetry, and lidar (laser-based surveying)—to measure coastal change along U.S. shorelines.
Using Video Imagery to Study Coastal Change: Santa Cruz Beaches
Two video cameras atop the Dream Inn hotel in Santa Cruz, California, overlook the coast in northern Monterey Bay. One camera looks eastward over Santa Cruz Main Beach and boardwalk, while the other looks southward over Cowells Beach.
Using Video Imagery to Study Coastal Change: Sunset State Beach
Two video cameras overlook the coast at Sunset State Beach in Watsonville, California. Camera 1 looks northwest while Camera 2 looks north. The cameras are part of the Remote Sensing Coastal Change project.
Coastal Climate Impacts
The impacts of climate change and sea-level rise around the Pacific and Arctic Oceans can vary tremendously. Thus far the vast majority of national and international impact assessments and models of coastal climate change have focused on low-relief coastlines that are not near seismically active zones. Furthermore, the degree to which extreme waves and wind will add further stress to coastal...
DUNEX Aerial Imagery of the Outer Banks
The During Nearshore Event Experiment (DUNEX) project is a large collaborative scientific study focusing on understanding the consequences of coastal storms on the morphology of coastal ecosystems. By flying large sections of the coast and collecting still images using structure from motion (SfM) techniques, we hope to contribute high resolution (20cm) elevation maps for time series...
USGS DUNEX Operations on the Outer Banks
DUring Nearshore Event eXperiment (DUNEX) is a multi-agency, academic, and non-governmental organization (NGO) collaborative community experiment designed to study nearshore coastal processes during storm events. The experiment began in 2019 and is scheduled for completion in the fall of 2021. USGS participation in DUNEX will contribute new measurements and models that will increase our...
California Sand Resource Assessment Project
The USGS is working in partnership with the Bureau of Ocean Energy Management (BOEM) and the State of California Ocean Protection Council (OPC) to evaluate sand and gravel resources in Federal and State waters for potential use in future beach nourishment projects. Prior to the leasing and development of outer continental shelf (OCS) sand resources for use in beach restoration or coastal...
Climate impacts on Monterey Bay area beaches
For beach towns around Monterey Bay, preserving the beaches by mitigating coastal erosion is vital. Surveys conducted now and regularly in the future will help scientists understand the short- and long-term impacts of climate change, El Niño years, and sea-level rise on a populated and vulnerable coastline.
The Mud Creek Landslide May 20 2017
On May 20, 2017, the steep slopes at Mud Creek on California’s Big Sur coast, about 140 miles south of San Francisco, suffered a catastrophic collapse. USGS scientists from the Pacific Coastal and Marine Science Center and the Geology, Minerals, Energy, and Geophysics Science Center continue to monitor this section of the coastline, in collaboration with the California Department of...
USGS science supporting the Elwha River Restoration Project
The Elwha River Restoration Project has reconnected the water, salmon, and sediment of a pristine river and coast of the Olympic Peninsula of Washington. Coordinated by the National Park Service, restoration of the Elwha River included the removal of two large dams that had blocked salmon and sediment passage for almost 100 years. The largest dam removal in U.S. history began in...
Mapping Land-Use, Hazard Vulnerability and Habitat Suitability Using Deep Neural Networks
Deep learning is a computer analysis technique inspired by the human brain’s ability to learn. It involves several layers of artificial neural networks to learn and subsequently recognize patterns in data, forming the basis of many state-of-the-art applications from self-driving cars to drug discovery and cancer detection. Deep neural networks are capable of learning many levels of abstraction...
Exploring the USGS Science Data Life Cycle in the Cloud
Executive Summary Traditionally in the USGS, data is processed and analyzed on local researcher computers, then moved to centralized, remote computers for preservation and publishing (ScienceBase, Pubs Warehouse). This approach requires each researcher to have the necessary hardware and software for processing and analysis, and also to bring all external data required for the workflow over the...
Geophysical and core sample data collected offshore San Francisco, California, during field activity 2019-649-FA from 2019-10-11 to 2019-10-18
USGS collected geophysical and core sample data aboard R/V Bold Horizon in 2019 on cruise 2019-649-FA offshore San Francisco, California. The data were collected to assess sand and gravel resources in Federal and State waters for potential use in future beach nourishment projects along stretches of the coast where critical erosion hotspots have been identified. This cruise was funded through...
Aerial Photogrammetry Data and Products of the North Carolina coast: 2018-10-06 to 2018-10-08, post-Hurricane Florence
This data release presents structure-from-motion products derived from imagery taken along the North Carolina coast in response to storm events and the recovery process. USGS researchers use the aerial photogrammetry data and products to assess future coastal vulnerability, nesting habitats for wildlife, and provide data for hurricane impact models.
Geophysical and core sample data collected offshore Oceanside to San Diego, southern California, during field activity 2018-638-FA from 2018-05-21 to 2018-05-26
USGS collected geophysical and core sample data aboard R/V Bold Horizon in 2018 on cruise 2018-638-FA offshore Oceanside to San Diego, southern California. The data were collected to assess sand and gravel resources in Federal and State waters for potential use in future beach nourishment projects along stretches of the coast where critical erosion hotspots have been identified.
Geophysical and sampling data collected offshore Oceanside, southern California during field activity 2017-686-FA from 2017-10-23 to 2017-10-31
This data release contains geophysical and sediment sample data that were collected aboard the R/V Snavely in 2017 on U.S. Geological Survey cruise 2017-686-FA offshore Oceanside, southern California. The goal of the survey was to provide high-resolution imaging, magnetic anomaly profiles and sediment analysis to characterize the surface and subsurface properties of the study area such as
Bathymetry and acoustic backscatter data collected in 2008 offshore Tijuana River Estuary, California during USGS Field Activity S-5-08-SC
In 2008 the USGS collected bathymetry and acoustic-backscatter data offshore the Tijuana River Estuary, California. Mapping was conducted as part of the Tijuana Estuary Fine Sediment Fate and Transport Demonstration Project, which was developed by a number of State of California, federal, and private industry partners to provide information about the directions, rates, and processes of fine...
Bathymetry and acoustic-backscatter data collected in 2016 offshore the Elwha River mouth, Washington, during USGS Field Activity 2016-605-FA
This data release provides bathymetry and acoustic-backscatter data collected during a 2016 SWATHPlus-M survey offshore the Elwha River mouth, Strait of Juan de Fuca, Washington. Data were collected and processed by the USGS during field activity 2016-605-FA. This survey, along with two other surveys, was conducted to map changes that have occurred following sediment input from dam removals...
SQUID-5 structure-from-motion point clouds, bathymetric maps, orthomosaics, and underwater photos of coral reefs in Florida, 2019
The new structure-from-motion (SfM) quantitative underwater imaging device with five cameras (SQUID-5) was tested in July 2019 at Crocker Reef in the Florida Keys. The SQUID-5 was developed to meet the unique challenges of collecting SfM underwater imagery, including multiple cameras with different perspectives, accurate geographic locations of images, accurate and precise scaling of derived...
Topographic point clouds for the Mud Creek landslide, Big Sur, California from structure-from-motion photogrammetry from aerial photographs
This data release contains structure-from-motion (SfM) point-cloud data from aerial surveys conducted over the Mud Creek landslide on Big Sur from 1967-2018. Data sources include scanned aerial photographs, digital images collected from fixed-wing aircraft, and digital images collected from multirotor UAS.
Beach topography and nearshore bathymetry of northern Monterey Bay, California
This data release presents beach topography and nearshore bathymetry data from repeated surveys in northern Monterey Bay, California to document changes in shoreline position and coastal morphology as they relate to episodic (storms), seasonal, and interannual and longer processes. Since October 2014, semi-annual surveys have been performed in late summer (September or October...
Oceanographic measurements obtained offshore of the Elwha River delta in coordination with the Elwha River Restoration Project, Washington, USA, 2010-2014
Time-series data of velocity, pressure, turbidity, conductivity, and temperature were collected near the mouth of the Elwha River, Washington, USA, from December 2010 through October 2014, for the Department of Interior’s Elwha River Restoration project. As part of this project, the USGS studied the effects of renewed sediment supplies on the coastal ecosystems before, during, and following...
Data collected in 2008-2014 to assess nearshore subtidal community responses to increased sediment load during removal of the Elwha River dams, Washington State, USA
Data are time series of substrate grain size, remotely sensed water column turbidity, and measures of abundance (e.g., density, percent cover) of the nearshore subtidal (3-17 m depth) benthic community (vegetation, invertebrates, and fish) collected before (2008-2011) and during dam removal (2012-2014).
Multibeam bathymetry and acoustic backscatter data collected in 2016 for Lake Crescent, Olympic National Park, Washington
In February 2016, the USGS Pacific Coastal and Marine Science Center, in cooperation with North Carolina State University and the National Park Service, collected multibeam bathymetry and acoustic backscatter data in Lake Crescent located in Olympic National Park. These data were collected to support geologic hazard studies within the lake including mapping submarine landslides and faulting...
Labeling poststorm coastal imagery for machine learning: Measurement of interrater agreement
Classifying images using supervised machine learning (ML) relies on labeled training data—classes or text descriptions, for example, associated with each image. Data-driven models are only as good as the data used for training, and this points to the importance of high-quality labeled data for developing a ML model that has predictive skill....
Goldstein, Evan B.; Buscombe, Daniel D.; Lazarus, Eli D.; Mohanty, Somya; Rafique, Shah N.; Anarde, K A; Ashton, Andrew D; Beuzen, Tomas; Castagno, Katherine A.; Cohn, Nicholas; Conlin, Matthew P.; Ellenson, Ashley; Gillen, Megan; Hovenga, Paige A.; Over, Jin-Si R.; Palermo, Rose V.; Ratlif, Katherine; Reeves, Ian R; Sanborn, Lily H.; Straub, Jessamin A.; Taylor, Luke A.; Wallace, Elizabeth J.; Warrick, Jonathan; Wernette, Phillipe Alan; Williams, Hannah E
Processing coastal imagery with Agisoft Metashape Professional Edition, version 1.6—Structure from motion workflow documentation
IntroductionStructure from motion (SFM) has become an integral technique in coastal change assessment; the U.S. Geological Survey (USGS) used Agisoft Metashape Professional Edition photogrammetry software to develop a workflow that processes coastline aerial imagery collected in response to storms since Hurricane Florence in 2018. This report...
Over, Jin-Si R.; Ritchie, Andrew C.; Kranenburg, Christine J.; Brown, Jenna A.; Buscombe, Daniel D.; Noble, Tom; Sherwood, Christopher R.; Warrick, Jonathan A.; Wernette, Phillipe A. A survey of storm-induced seaward-transport features observed during the 2019 and 2020 hurricane seasons
Hurricanes are known to play a critical role in reshaping coastlines, but often only impacts on the open ocean coast are considered, ignoring seaward-directed forces and responses. The identification of subaerial evidence for storm-induced seaward transport is a critical step towards understanding its impact on coastal resiliency. The visual...
Over, Jin-Si R.; Brown, Jenna A.; Sherwood, Christopher R.; Hegermiller, Christie; Wernette, Phillipe Alan; Ritchie, Andrew C.; Warrick, Jonathan Littoral sediment from rivers: Patterns, rates and processes of river mouth morphodynamics
Rivers provide important sediment inputs to many littoral cells, thereby replenishing sand and gravel of beaches around the world. However, there is limited information about the patterns and processes of littoral-grade sediment transfer from rivers into coastal systems. Here I address these information gaps by examining topographic and...
Warrick, Jonathan
Cliff Feature Delineation Tool and Baseline Builder version 1.0 user guide
Coastal cliffs constitute 80 percent of the world’s coastline, with seacliffs fronting a large proportion of the U.S. West Coast shoreline, particularly in California. Erosion of coastal cliffs can threaten infrastructure and human life, yet the spatial and temporal scope of cliff studies have been limited by cumbersome traditional methods that...
Seymour, Alexander C.; Hapke, Cheryl J.; Warrick, Jonathan
Community for data integration 2018 funded project report
The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 10 projects funded in fiscal year 2018, outlining their goals, activities, and accomplishments.
Hsu, Leslie; Andrews, Caitlin M.; Bradford, John B.; Buscombe, Daniel D.; Chase, Katherine J.; Daniel, Wesley M.; Jones, Jeanne M.; Fuller, Pam; Mirus, Benjamin B.; Neilson, Matthew E.; Vraga, Hans W.; Walker, Jessica J.; Walworth, Dennis H.; Warrick, Jonathan; Weltzin, Jake; Wieferich, Daniel J.; Wood, Nathan J. Accurate bathymetric maps from underwater digital imagery without ground control
Structure-from-Motion (SfM) photogrammetry can be used with digital underwater photographs to generate high-resolution bathymetry and orthomosaics with millimeter-to-centimeter scale resolution at relatively low cost. Although these products are useful for assessing species diversity and health, they have additional utility for quantifying benthic...
Hatcher, Gerry; Warrick, Jonathan; Ritchie, Andrew C.; Dailey, Evan; Zawada, David G.; Kranenburg, Christine J.; Yates, Kimberly K. Optical wave gauging using deep neural networks
We develop a remote wave gauging technique to estimate wave height and period from imagery of waves in the surf zone. In this proof-of-concept study, we apply the same framework to three datasets: the first, a set of close-range monochrome infrared (IR) images of individual nearshore waves at Duck, NC, USA; the second, a set of visible (i.e. RGB)...
Buscombe, Daniel; Carini, Roxanne J; Harrison, Shawn; Chickadel, C Chris; Warrick, Jonathan Commentary: Variability in shelf sedimentation in response to fluvial sediment supply and coastal erosion over the past 1,000 Years in Monterey Bay, CA, United States
A commentary on: Variability in Shelf Sedimentation in Response to Fluvial Sediment Supply and Coastal Erosion Over the Past 1,000 Years in Monterey Bay, CA, United States. by Carlin J., Addison J., Wagner A., Schwartz V., Hayward J., Severin V. (2019) Front. Earth Sci., 7:113. doi: 10.3389/feart.2019.00113
Warrick, Jonathan; East, Amy E.; Storlazzi, Curt D.; Conrad, James E. World’s largest dam removal reverses coastal erosion
Coastal erosion outpaces land generation along many of the world’s deltas and a significant percentage of shorelines, and human-caused alterations to coastal sediment budgets can be important drivers of this erosion. For sediment-starved and erosion-prone coasts, large-scale enhancement of sediment supply may be an important, but poorly understood...
Warrick, Jonathan; Stevens, Andrew W.; Miller, Ian M.; Harrison, Shawn R; Ritchie, Andrew C.; Gelfenbaum, Guy R. Integrating structure from motion, numerical modelling and field measurements to understand carbonate sediment transport in coral reef canopies
Reef canopies are complex and extremely variable across a range of spatial scales. This variability affects the velocity above as well as within the canopy, and directly impacts the transport of sediment along the bed as well as suspended in the water column. How a canopy affects the transport of sediment is important to understand and predict...
Pomeroy, Andrew; Storlazzi, Curt D.; Rosenberger, Kurt J.; Hatcher, Gerry; Warrick, Jonathan Characterizing the catastrophic 2017 Mud Creek Landslide, California, using repeat Structure-from-Motion (SfM) photogrammetry
Along the rugged coast of Big Sur, California, the Mud Creek landslide failed catastrophically on May 20, 2017 and destroyed over 400 m of scenic California State Highway 1. We collected structure-from-motion (SfM) photogrammetry data using airborne platforms that, when combined with existing airborne lidar data, revealed that the area exhibited...
Warrick, Jonathan; Ritchie, Andrew C.; Reid, Mark E.; Schmidt, Kevin; Logan, Joshua B.
Cliff Feature Delineation Tool and Baseline Builder
The Cliff Feature Delineation Tool scans digital elevation models (DEM) to delineate features on seacliffs like the cliff top, midline, toe, and convexities/concavities on the cliff face, outputting linear features as polylines and point shapefiles.
Dam Removal Information Portal (DRIP)
The Dam Removal Information Portal (DRIP) is an online representation and visualization tool for the USGS Dam Removal Science Database, and provides a map-based visualization of information of dam removals and associated scientific studies.
Eyes in the Sky: How Satellite Imagery Transforms Shoreline Monitoring From “Data-Poor” to “Data-Rich”
Monitoring coastal changes is important for the millions of people that live along coasts in the U.S., particularly as climate change hastens coastal erosion by raising sea levels and fueling powerful storms.
Bringing USGS Science Expertise Together for Natural Hazards in Big Sur, CA
Recent landslide activity along California’s Pacific coast in the region known as Big Sur has provided graphic examples of the power and impacts of natural hazard events.
Coastal Change Hazards Team Releases New Software Tool for Delineating Coastal Cliff Features
SPCMSC Physical Scientist Alexander Seymour and co-authors Cheryl Hapke (University of South Florida College of Marine Science) and Jonathan Warrick (PCMSC) published a USGS Open-File Report and a software tool for delineating features on coastal cliffs.
USGS geologist discusses erosion at Fort Funston for ABC7 News segment on landslide fatality
On Monday, February 25, 2019, research geologist Jonathan Warrick of the USGS Pacific Coastal and Marine Science Center spoke with ABC7 News about a February 22 landslide that injured one woman and buried another at San Francisco’s Fort Funston beach.
Moving Mountains: Elwha River Still Changing Five Years After World’s Largest Dam-Removal Project: More than 20 million tons of sediment flushed to the sea
Starting in 2011, the National Park Service removed two obsolete dams from the Elwha River in Olympic National Park, Washington. It was the world’s largest dam-removal project. Over the next five years, water carrying newly freed rocks, sand, silt and old tree trunks reshaped more than 13 miles of river and built a larger delta into the Pacific Ocean.
Time-lapse view of California Highway 1 reconstruction after 2017 landslide
USGS scientists produced an animated GIF in coordination with the California Department of Transportation (Caltrans) re-opening of State Highway 1 through Big Sur on July 18, 2018.
USGS partnership with Lower Elwha Klallam Tribe featured in new fact sheet on Elwha River dam removals
The USGS has published a new Fact Sheet, “Science Partnership between U.S. Geological Survey and the Lower Elwha Klallam Tribe: Understanding the Elwha River Dam Removal Project.”
LA Times story about Big Sur landslide features quotes, imagery from USGS
USGS geologists Jon Warrick and Kevin Schmidt are quoted in a November 9, 2017 Los Angeles Times story.
Video shot from drones yields details about changing landslide on California’s Big Sur coast
On October 12, 2017, USGS unmanned aerial systems collected video footage of the Mud Creek landslide, which buried California State Highway 1 under a third-of-a-mile-wide mass of rock and dirt on May 20, 2017.
USGS Monitors Huge Landslides on California's Big Sur Coast, Shares Information with California Department of Transportation
On May 20, 2017, more than 2 million cubic meters of rock and dirt—enough to fill a line of dump trucks nearly a thousand miles long—collapsed down the steep slopes at Mud Creek on California’s Big Sur coast, about 140 miles south of San Francisco. A pile of rubble almost a third of a mile wide buried California State Highway 1 over 65 feet deep and added about 13 acres of new land to the...
USGS maps underwater part of Big Sur landslide at Mud Creek
Scientists from the USGS Pacific Coastal and Marine Science Center mapped the offshore extent of the Mud Creek landslide on California’s Big Sur coast on July 11, 2017.
Huge landslide on California’s Big Sur coast continues to change
The Mud Creek landslide on California’s Big Sur coast keeps eroding.