Oceanography Program, California Department of Parks & Recreation
Parent: Scripps Institution of Oceanography
eScholarship stats: History by Item for August through November, 2024
Item | Title | Total requests | 2024-11 | 2024-10 | 2024-09 | 2024-08 |
---|---|---|---|---|---|---|
4tm114zf | The Myth and Reality of Southern California Beaches | 70 | 7 | 22 | 7 | 34 |
0ff253kt | California’s Fourth Climate Change Assessment | 53 | 4 | 12 | 9 | 28 |
6wk9w0g6 | Amateur Radio from Antarctica | 51 | 9 | 15 | 7 | 20 |
579326kr | Global distribution of coastal cliffs | 46 | 5 | 14 | 3 | 24 |
033010kh | Storm surge in the San Francisco Bay/Delta and nearby coastal locations | 43 | 5 | 7 | 4 | 27 |
0c49k386 | Shoreline Erosion Assessment and Atlas of the San Diego Region | 43 | 9 | 13 | 11 | 10 |
2tj688nz | Extreme oceanographic forcing and coastal response due to the 2015-2016 El Nino | 42 | 9 | 33 | ||
2bw8z3z0 | Effects of the 2015-2016 El Niño on Water Levels in Southern California Estuaries and Implications for Elevated Sea-levels | 41 | 5 | 17 | 2 | 17 |
2f685159 | CDIP wave observations in Superstorm Sandy | 41 | 1 | 9 | 5 | 26 |
6hr9b3c0 | An interview with Greg Woodell | 40 | 5 | 8 | 27 | |
9rq321pv | Seasonal temperature dynamics of the upper ocean in the Southern California Bight | 40 | 3 | 9 | 1 | 27 |
0zj570sh | Automatic Delineation of Seacliff Limits using Lidar-derived High-resolution DEMs in Southern California | 39 | 2 | 8 | 2 | 27 |
6b8528q3 | A Comparison of Otolith Geochemistry and Stable Isotope Markers to Track Fish Movement: Describing Estuarine Ingress by Larval and Post-larval Halibut | 39 | 1 | 4 | 34 | |
0qw7q9w5 | Near-Surface Environmentally Forced Changes in the Ross Ice Shelf Observed With Ambient Seismic Noise | 37 | 1 | 9 | 3 | 24 |
4k5508jk | Effects of El Niños on the West Coast Wave Climate | 37 | 3 | 10 | 1 | 23 |
0ct1b77v | Cross‐shore surfzone tracer dispersion in an alongshore current | 35 | 7 | 2 | 26 | |
28q2j7d3 | Assimilating Coastal Wave Observations in Regional Swell Predictions. Part I: Inverse Methods | 35 | 7 | 28 | ||
3k2933rc | Transoceanic infragravity waves impacting Antarctic ice shelves | 35 | 7 | 6 | 5 | 17 |
8vh4m2qz | Climate change scenarios and sea level rise estimates for the California 2009 Climate Change Scenarios Assessment | 35 | 8 | 11 | 2 | 14 |
6997628b | Performance Evaluation of Seacliff Erosion Control Methods | 34 | 5 | 9 | 4 | 16 |
7xf198nx | Projecting future sea level | 34 | 1 | 9 | 24 | |
20s6j2vw | A Worldwide Survey of Recent Ocean Observatory Activities: 2017 Update | 33 | 3 | 8 | 1 | 21 |
2dq3b6df | Influence of El Niños on California Wave Climate | 33 | 1 | 11 | 2 | 19 |
0tf6w5gx | Coastal Flood Modeling Challenges in Defended Urban Backshores | 32 | 13 | 2 | 17 | |
1cb7d2n9 | Measuring the Nearshore Wave Climate: California Experience | 32 | 1 | 7 | 3 | 21 |
6pt8q7qc | A Framework for Sea Level Rise Vulnerability Assessment for Southwest U.S. Military Installationsmework for Sea Level Rise Vulnerability Assessment for Southwest U.S. Military Installations | 32 | 8 | 13 | 2 | 9 |
7052d02z | Wave power variability and trends across the North Pacific | 32 | 4 | 8 | 4 | 16 |
8bm2c01q | Complex larval connectivity patterns among marine invertebrate populations | 32 | 5 | 6 | 21 | |
9sb5f1s5 | San Diego, 2050 Is Calling. HOW WILL WE ANSWER? - FACING THE FUTURE: How Science Can Help Prepare San Diego Regional Leaders for Climate Change | 32 | 10 | 4 | 18 | |
4p82t4mt | California tides, sea level, and waves — Winter 2015-2016 | 31 | 8 | 9 | 3 | 11 |
9g48g5kh | Effect of a Small Southern California Lagoon Entrance on Adjacent Beaches | 31 | 1 | 7 | 23 | |
0cz873xn | Sand volume needs of Southern California beaches as a function of future sea-level rise rates | 30 | 7 | 10 | 4 | 9 |
3v25d0fj | Southern California Beach Processes Study - Torrey Pines Beach Nourishment Study 5th Quarterly Report to California Resources Agency and California Department of Boating and Waterways | 30 | 1 | 4 | 25 | |
4f27b2qm | Macrofaunal recolonization of copper-contaminated sediments in San Diego Bay | 30 | 3 | 8 | 3 | 16 |
5846m8hm | Trends in United States Tidal Datum Statistics and Tide Range | 30 | 3 | 5 | 4 | 18 |
8r74t5tq | Time-of-Day of Peak Tides in a Mixed-Tide Regime | 30 | 3 | 4 | 1 | 22 |
8tv4w9g3 | Regional Swell Transformation by Backward Ray Tracing and SWAN | 30 | 1 | 4 | 25 | |
9863q6jz | Tide and Beach Fluctuations and the Mean High Water Line | 30 | 2 | 6 | 3 | 19 |
9rg8617t | Application of Airborne LIDAR for Seacliff Volumetric Change and Beach-Sediment Budget Contributions | 30 | 2 | 8 | 2 | 18 |
09j8x698 | Biofouling Effects on the Response of a Wave Measurement Buoy in Deep Water | 29 | 8 | 3 | 18 | |
5xm4j3px | CDIP wave observations during Hurricanes Irma, Jose, and Maria, and a nor’easter | 29 | 5 | 4 | 1 | 19 |
89r72683 | The offshore boundary condition in surf zone modeling | 29 | 7 | 2 | 20 | |
9md5g3vx | Coastal vulnerability across the Pacific dominated by El Nino/Southern Oscillation | 29 | 3 | 11 | 3 | 12 |
0d5189jg | Occurrence and distribution of polycyclic aromatic hydrocarbons in surface sediments of San Diego Bay marinas | 28 | 10 | 10 | 2 | 6 |
1rr4g18h | The near-coastal microseism spectrum: Spatial and temporal wave climate relationships | 28 | 4 | 6 | 18 | |
3ds995nm | A Comparison of Spectral Refraction and Refraction-Diffraction Wave Models | 28 | 2 | 5 | 3 | 18 |
3z08g0m2 | Mid-ocean microseisms | 28 | 2 | 5 | 21 | |
65b442v7 | Multidecadal regional sea level shifts in the Pacific over 1958-2008 | 28 | 3 | 8 | 1 | 16 |
68p4877h | Wave monitoring in The Southern California Bight | 28 | 2 | 3 | 1 | 22 |
7rq7z2rb | Coastal Flood Modeling Challenges in Defended Urban Backshores | 28 | 8 | 1 | 19 |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.