Comparison of Longshore Currents with NGOFS Predictions Dell, Larry, Picarazzi, Gabriel, Picarazzi, Francesca and Tissot, Philippe Texas A&M University-Corpus Christi Conrad Blucher Institute Introduction/Background How accurate is NGOFS for nearshore predictions in the Coastal Bend? • Can NGOFS predictions be used instead of actual measurements? • If the model is accurate what can we learn from NGOFS predictions? Description of NGOFS • • The NGOFS model (Wei et al. 2015) was built using the Finite-Volume Coastal Ocean Model (FVCOM), an unstructured three-dimensional primitive equation based hydrodynamic model. The NGOFS grid is presented in Figure 1. Resolution ranges from 10 km in the open ocean to 600 meters close to shore. Predictions include water levels, water currents, water temperatures, water salinity, and wind velocity. RMSE = 0.0856 Count Count RMSE = 0.1377 50 0 -1 -0.5 0 0.5 1 Difference (m/s) Figure 4: Picture of current profiler at top of I-Beam with winch box. Figure 3: Sample of NGOFS Grid with location of bob hall pier. Time Series Comparing NGOFS Model and Observed Data 1 100 50 0 -0.5 0 0.5 1 Difference (m) Figure 7: Assessment of NGOFS longshore current and water level predictions for Bob Hall Pier. NGOFS Longshore Current Profile 40 35 NGOFS Model Observed Current Sigma Layer • 150 100 Along Shore Current (m/s) Accurate nearshore measurements and predictions are important for oil spill responders, development of infrastructure along the coast, rip current warnings, and overall understanding of coastal processes. Two current profilers and wave sensors were installed on Bob Hall Pier at the end of Spring 2014 providing such measurements. During the same time frame the National Oceanic and Atmospheric Administration has made available predictions from its new Northern Gulf of Mexico Operational Forecast System or NGOFS. This new hydrodynamic model computes predictions for multiple data sets including water levels, currents, water temperature and salinity. NGOFS resolution is high and includes the full coast of Texas making it a promising tool. The goal of this project is to compare predictions and measurements and answer the following questions: • Water Level Difference (Predicted-Observed) Longshore Current Difference (Predicted - Observed) 0.5 0 -0.5 30 25 20 15 10 5 0 -1 6/1/2014 8/1/2014 10/1/2014 12/1/2014 10 20 30 40 50 60 70 80 90 100 Percentage of Maximum Current for Each Time Stamp 2/1/2015 Figure 8: NGOFS model for vertical current profile. Figure 5: Comparison of measured and NGOFS predicted currents for Bob Hall Pier Texas (NGOFS values for the element including BHP). Study Site: Bob Hall Pier, Texas Longshore Current Comparison Comparison of the differences between measurements and model predictions were computed based on the following: • A data base (Cassandra) was designed and populated with NGOFS nowcasts for the Bob Hall Pier location. • Time series of longshore current measurements from a SonTek Argonaut SL-500 current profiler for a distance of 54 to 65m away from the sensor (bin 5). Bin 5 is the furthest stable current bin for this experiment (Tissot et al. 2015) • Average NGOFS longshore current predictions (computed based on orientation of the coastline and northward and eastward predicted currents) for sigma layers 8 through 33 to reflect a vertical profiler beam spread of approximatively 4.3m at that distance • Time series of water level measurements at the NWLON station referenced to mean sea level (msl datum) and NGOFS water level predictions referenced to the same datum. NWLON Stilling Well NWLON Wind Sensors Predicted Current (m/s) Figure 1: NGOFS Grid. Methods Discussion/Conclusions 1 • 0.8 • 0.6 0.4 R-Squared = 0.725 RMSE = 0.0515 0.2 y = 0.4*x + 0.0016 • • 0 -0.2 All data Linear Correction Model Wind Over 20 mph y=x line -0.4 -0.6 • • • -0.8 -1 -1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 1 Observed Current (m/s) Figure 6: Assessment of NGOFS longshore current predictions with study measurements. Current Profilers Winch Boxes • Water Level Comparison 1 0.8 Predicted (m) Solar Panels 0.6 R-Squared = 0.834 RMSE = 0.0683 0.4 y = 0.75*x + 0.03 References • Wei, E., Z. Yang, Y. Chen, J.G.W. Kelley, A. Zhang (2014) The Northern Gulf Of Mexico Operational Forecast System (NGOFS): Model Development and Skill Assessment. NOAA Technical Report NOS CS 33, 190pp.[Available online at http://www.nauticalcharts.noaa.gov/csdl/publications/TR_NOS_CS33_FY_14_02_Eugene_NGOFS_report.pdf.] • Tissot, P., L. Dell, J. Rizzo, D. Williams (2015) Nearshore Measurements of Wave Climate and Current Profiles along the Texas Coastal Bend. Proceedings of the 13th Symposium on the Coastal Environment, AMS 95th Annual Meeting. [Available online at https://ams.confex.com/ams/95Annual/webprogram/Paper269560.html]. 0.2 0 -0.2 Data Linear Correction Model y=x Line -0.4 -0.6 Acknowledgements -0.8 Offshore Looking Current Profiler I-Beam • NGOFS predictions, longshore currents and water levels were compared with measurements at Bob Hall Pier, Texas for the period June 1st, 2014 to March 6th, 2015. Longshore current near BHP is under-predicted by NGOFS but at a consistent rate. A linear correction to the output could be applied, yielding more accurate predictions with a resulting RMSE improvement from 0.14 m/s to 0.05 m/s. Instances of high wind events do not affect the accuracy of the predictions. Current during these events tend to stay near the same trend line for all the data. Agreement between water level predictions and measurements is closer. The predicted values are highly linearly correlated to the observed values. A smaller correction would improve the RMSE from 0.09 m to 0.07 m. The difference between predictions and measurements is partly due to comparing point measurements to average predictions over a grid cell. The statistically corrected model could be useful for coastal emergency responders, and coastal stakeholders in general. Future work will include assessing the accuracy over longer-term predictions. The performance of an experimental NOAA model, the Nearshore Wave Prediction System (NWPS), is in the process of being analyzed. Water level and significant wave height predictions are compared to measured values at Bob Hall Pier. That model has a considerably lower (square) grid resolution of about 3.76 square miles likely representing a challenge for nearshore accuracy. This study will continue at least through July 2015 and will provide a more complete data set for assessments of these models and overall description of the nearshore processes at this important location. Accuracy low winds vs high winds. Across-shore Looking Current Profiler I-Beam Figure 2: Overall experimental setup at Bob Hall Pier including two current profilers collocated with the Corpus Christi NWLON station. -1 -1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 Observed (m) Figure 7: Assessment of NGOFS water level predictions with NWLON measurements. 1 Funding for the work presented in this paper is provided as part of a R&D 2014-2015 Funding Cycle grant from the Texas General Land Office (TGLO) and is gratefully acknowledged. The views expressed herein are those of the authors and do not necessarily reflect the views of TGLO. The authors wish to acknowledge members of the Conrad Blucher Institute field crew and information technology teams for efficiently and creatively resolving problems throughout the project.ng observed for water currents.
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