Executive Summary - 2.5 pages for an overview of the project and model, also part of the full report (74K PDF)

Executive Summary - 2.5 pages for an overview of the project and model, also part of the full report

Executive Summary - link to the executive summary of the full report (2.5 pages for an overview of the project and model)

Full Report (3.9M PDF), includes description of modeling methodology all the performance assessment for the model

Texas Parks and Wildlife Department Performance Report - an abbreviated version of the full report (434K PDF)

Executive Summary

Study Background:

Reports

 Executive Summary

Reports

Executive Summary - link to the executive summary of the full report

Texas Parks and Wildlife Department Performance Report - abbreviated version of the full report (434K PDF)

Full Report Table of Contents

Feedback E-mail: ptissot@lighthouse.tamucc.edu

Back Forecasts page

A joint project with the Coastal Conservation Association (CCA), Texas Parks and Wildlife and the Gulf Intracoastal Canal Association (GICA) to predict water temperatures in the Laguna Madre. Unusually low temperatures can result in substantial fish kills. A model predicting low water temperatures below about 45 F with about 24 hours notice can allow coastal stakeholders to take some measures to try to minimize the fish kills. The prediction model was developed to predict water temperatures in the middle and upper Laguna Madre.

Executive Summary - this link gives you the Executive summary only, the rest of the report excluding appendices is accessible by clicking the reports below.

1. Introduction & Project Objectives
2. Monitoring Platforms: Installation, Equipment & Measurements Analysis
3. Design of Predictive Water Temperature Model
4. NAM Air Temperature Predictions & Adjustments for the Laguna Madre
5. Operational Performance for Bird Island Station Predictions
6. Portability of the Model to TPWD Stations and the Rest of the Laguna Madre
7. Operational Performance for Cold Events
8. Web Based Implementation of the Predictive Model

A joint project with the Coastal Conservation Association (CCA), Texas Parks and Wildlife and the Gulf Intracoastal Canal Association (GICA) to predict water temperatures in the Laguna Madre. Unusually low temperatures can result in substantial fish kills. A model predicting low water temperatures below about 45 F with about 24 hours notice can allow coastal stakeholders to take some measures to try to minimize the fish kills. The prediction model was developed to predict water temperatures in the middle and upper Laguna Madre.

Monitoring and Predictive Modeling of Water Temperatures in the Laguna Madre

Study Background:

Add text here

How You can Help:

Add text here

Feedback E-mail: ptissot@lighthouse.tamucc.edu

Coming soon: Link to the draft report of the study (a few are already available)

Report Table of Contents

Executive Summary - this link gives you the Executive summary only, the rest of the report excluding appendices is accessible by clicking any of the chapters below

Full Report (3.9M PDF)

TPWD Performance Report (434K PDF)

Executive Summary

1. Introduction
2. Study Scope and Objectives
3. Rip Currents
4. Preponderance of Rip Currents on the South Texas Coast
5. Assessment of Surf Conditions during Drowning and Near-Drowning Events
6. Specific Cases of Drowning and Near-Drowning Events
7. Drowning and Near-Drowning Events
8. Possible Correlation between Drowning and Near-Drowning Events and Surf Conditions
9. Conclusions and Recommendations
10. Acknowledgements
11. References

Report Appendices:

(the appencices are split in three groups 1-5, 6 and 7-10)

1. Water Temperature Histories at TPWD Rincon Station (142K PDF)
2. Water Temperature Histories at the TPWD Land Cut Station (176K PDF)

Acknowledgements:

The support of Texas Seagrant for this ongoing study is greatly acknowledged. The Corpus Christi Weather Forecasting Office, the Nueces County Beach Services division, and the Cameron County Park Ranger Division are greatfully acknowledged for their assistance in providing data on surf incidents and valuable feedback for this study. Without their contribution this study would not have been possible. Many thanks to a number of individuals who have contributed to provide important information for the study such as answering the rip current questionnaires and discussing the overall scope of the study. Thank you as well to Michael Willingham, Sara Ussery and John Adams from the TAMUCC Division of Nearshore Research whose help in finding and discussing information has been invaluable.

Back to my home page