PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 6, 2026Meteorology0 citationsOpen Access

Lidar Measurements and High-Resolution Mesoscale Modeling of Coastally Trapped Disturbances off the Coast of California

View Full Paper
TJTimothy W. JulianoSHSue Ellen HauptEHEric A. Hendricks

Key Points

  • This research investigates coastally trapped disturbances and their effects on coastal weather in California.
  • Utilized lidar measurements and National Data Buoy Center observations to assess coastally trapped disturbance events.
  • Evaluated model output from High-Resolution Rapid Refresh (HRRR) and NOW-23 models between October 2020 and October 2021.
  • Identified and characterized 18 unique coastally trapped disturbances during the study period.
  • HRRR model captured most coastally trapped disturbance events, while NOW-23 captured only 12.
  • Wind, temperature, and pressure perturbations were analyzed during coastally trapped disturbances.
  • Negative wind shear aloft was more likely to precede events that were captured by the NOW-23 model.

Abstract

Coastally Trapped disturbances (CTDs) are shifts in wind direction from the pre-dominant direction to equatorward to poleward for a period of time. These CTDs occur during the warm season off the California coast and impact coastal weather conditions and planned offshore wind plants. This study assesses the characteristics of CTD events as observed by lidar and other offshore buoys, then evaluates the ability of modeling systems to capture the correct characteristics, leveraging model output from the High-Resolution Rapid Refresh (HRRR) operational modeling system and the NOW-23 (National Offshore Wind) model dataset. CTDs were analyzed for October 2020 and May through to October of 2021, identifying 18 unique CTD events, confirmed by a nearby National Data Buoy Center (NDBC) buoy. The HRRR model captured most of these events, but the NOW-23 model output contained only 12 events. Composites of the wind, temperature, and pressure perturbations pre-, during, and post-event demonstrated the diminishment in wind speed, particularly for the alongshore component. Although the NOW-23 model captured the alongshore wind component and pressure perturbations well, the cross-shore wind component and temperature perturbations varied substantially. When the turbulent kinetic energy deviation and wind shear was positive across all levels pre-event, the NOW-23 modeling system was less likely to capture the CTD event. In contrast, the events that were captured by the model tended to have negative wind shear aloft pre-event.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Juliano et al. (2026) studied this question.

synapsesocial.com/papers/69faa2b504f884e66b5333a9https://doi.org/10.3390/meteorology5020009
Ask AI
Helpful
Bookmark
Share
View Full Paper