About

Robert Weisberg is the Edwin E. Huddleson, Jr. Professor of Law at Stanford Law School. His academic work focuses on criminal law, criminal procedure, and empirical criminal law scholarship. Weisberg has contributed extensively to the understanding of issues such as the death penalty, mass incarceration, recidivism, and the social science aspects of criminal justice. He has authored numerous articles in prestigious law reviews and journals, exploring topics like decarceration, the norms of criminal law, and the impact of social science on legal processes. Weisberg's research emphasizes empirical analysis and institutional perspectives, making significant contributions to both legal theory and policy debates in criminal justice.

Research topics

• Political Science
• Environmental science
• Ecology
• Geography
• Environmental planning
• Business
• Computer Science
• Environmental resource management
• Climatology
• Geology
• Oceanography
• Economics
• Meteorology
• Physics
• Public relations
• Mechanics
• Remote sensing
• Engineering
• Psychology
• Atmospheric sciences
• Geophysics

Selected publications

• Impact of wave-current interaction on Hurricane Ian storm surge simulation

  Ocean Modelling · 2026-03-29

  article
  PublisherDOI

• Storm Surge and Coastal Inundation Nowcasts/Forecasts During Hurricanes Helene and Milton

  2026-03-13

  articleOpen access

  A daily automated coastal water level (storm surge) nowcast/forecast guidance system has been developed by the USF Ocean Circulation Lab based on the West Florida Coastal Ocean Model (WFCOM) and the very high-resolution Tampa Bay Coastal Ocean Model (TBCOM). Both models are configured to perform realistic simulations of ocean circulation and water levels which are then combined with tide gauge observations to provide 3-day hindcasts and 3.5-day forecasts of coastal water level along the West Florida coast (http://ocgweb.marine.usf.edu/Models/SeaLevel/). The experimental product was maintained during the approach and passage of Hurricanes Helene and Milton, and provided critical storm surge forecasts to a broad suite of stakeholders including the public. The system successfully predicted the water level set-up and set-down along the west Florida coast three days in advance of each hurricane, with improved forecasts realized each day prior to landfall. The TBCOM-inundation forecast system was also activated during Hurricane Helene. This modeling system extends its dense grid onto the land, facilitating simulation of inundation and flooding associated with storm surge in coastal areas. During Hurricane Helene, areas of severe inundation were identified along the coastal periphery of Tampa Bay and forecasts were accessible two days in advance of landfall.

  PublisherDOI

• The Coastal Ocean: How It Is Driven

  2025-01-01

  book-chapter1st authorCorresponding
  PublisherDOI

• Sea Level Extremes by Hurricane Storm Surge

  2025-01-01

  book-chapter1st authorCorresponding
  PublisherDOI

• Surface Heat Flux Product Evaluations Using Observations from Long-Term Moorings on the West Florida Shelf

  SSRN Electronic Journal · 2025-01-01

  preprintOpen access
  PublisherDOI

• Additional Aspects of the Global Ocean Circulation and Climate

  2025-01-01

  book-chapter1st authorCorresponding
  PublisherDOI

• The Air–Sea Interactions that Determine Water Temperature

  2025-01-01

  book-chapter1st authorCorresponding
  PublisherDOI

• Frontogenesis by material convergence in an estuary and its adjacent coastal ocean

  Limnology and Oceanography · 2025-11-26 · 4 citations

  articleOpen access

  Abstract Surface fronts are common features across the world's oceans, particularly in estuarine and coastal regions where the merging of freshwater and saltwater creates strong density gradients. It has long been documented that fronts in these regions can trap and concentrate various properties such as floating debris, nutrients, larvae, and other buoyant materials. The prediction of such fronts has important implications for environmental protection, search and rescue operations, and scientific research. However, the realistic simulation of such features remains a challenge. In this study, we apply a high‐resolution, numerical circulation model of Tampa Bay and the adjacent West Florida Shelf to predict surface fronts by computing surface convergence. The accuracy of the simulation is evaluated using drone and satellite imagery. The simulated convergence fields are then analyzed by a Self‐Organizing Map, an unsupervised machine learning method. Our findings show that convergence patterns vary with tidal phases (ebb and flood) as well as the spring–neap tidal cycle. This study provides a new framework for improving monitoring strategies and reducing observational bias. Although every estuary is unique, the physical mechanisms of frontogenesis are universal. Therefore, the method we propose can be applied to other estuarine systems and serve as a valuable tool for interdisciplinary research in estuarine and coastal environments.

  PublisherDOI

• Sea Level Extremes by Tsunamis

  2025-01-01

  book-chapter1st authorCorresponding
  PublisherDOI

• Why Grouper Sandwiches Are Popular on Florida’s West Coast

  2025-01-01

  book-chapter1st authorCorresponding
  PublisherDOI

Frequent coauthors

• Yonggang Liu

  296 shared

• Lianyuan Zheng

  University of South Florida St. Petersburg

  158 shared

• Chuanmin Hu

  University of South Florida St. Petersburg

  80 shared

• Alexander Barth

  79 shared

• Aïda Alvera Azcarate

  69 shared

• Ruoying He

  North Carolina State University

  63 shared

• John J. Walsh

  62 shared

• Clifford R. Merz

  University of South Florida St. Petersburg

  48 shared

Labs

• Vice Provost for Student AffairsPI

Education

• B.A.

  Stanford University

• M.A.

  Stanford University

• Other

  Stanford Law School