scholarly journals Estimating the Annual Exceedance Probability of Water Levels and Wave Heights from High Resolution Coupled Wave-Circulation Models in Long Island Sound

2020 ◽  
Vol 8 (7) ◽  
pp. 475
Author(s):  
Chang Liu ◽  
Yan Jia ◽  
Yaprak Onat ◽  
Alejandro Cifuentes-Lorenzen ◽  
Amin Ilia ◽  
...  
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Long Island ◽  
Long Island Sound ◽  
Water Levels ◽  
Eastern Coast ◽  
Significant Wave ◽  
Wave Heights ◽  
Significant Wave Heights ◽  
Island Sound

Accurately estimating the probability of storm surge occurrences is necessary for flood risk assessments. This research models Long Island Sound using a coupled coastal circulation and wave model (FVCOM-SWAVE) to hindcast the 44 highest storms between 1950–2018 and fitted Poisson-GPD distributions to modelled water levels and wave heights. Floodwater elevations and significant wave heights for 10% (1/10), 3% (1/30), 2% (1/50), and 1% (1/100) annual exceedance probabilities are provided for all Connecticut coastal towns. The results show that both water levels and their corresponding return intervals are higher along the western coast of Connecticut than the eastern coast, whereas significant wave heights increase eastward. Comparing our model results with those from the North Atlantic Coast Comprehensive Study (NACCS) shows that the mean NACCS results are higher for water levels and lower for significant wave heights for longer return periods. Likewise, the Federal Emergency Management Agency (FEMA) results in large errors compared to our results in both eastern and western coastal Connecticut regions. In addition to evaluating historical risks, we also added a sea-level height offset of 0.5 m for 2050 estimates in order to examine the effect of rising sea-levels on the analysis. We find that sea-level rise reduces the return period of a 10-year storm to two years. We advise periodically updating this work as improved sea-level rise projections become available.

scholarly journals Global Assessments of the HY-2B Measurements and Cross-Calibrations with Jason-3

2020 ◽  
Vol 12 (15) ◽  
pp. 2470 ◽  
Author(s):  
Yongjun Jia ◽  
Jungang Yang ◽  
Mingsen Lin ◽  
Youguang Zhang ◽  
Chaofei Ma ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Sea Level ◽  
Surface Wind ◽  
Sea Surface ◽  
Radar Altimeter ◽  
Significant Wave ◽  
Comparison Results ◽  
Wave Heights ◽  
Significant Wave Heights

The HY-2B satellite was successfully launched on 25 October 2018. One of the main payloads of the HY-2B was a radar altimeter. In the present study, the quality of the HY-2B along-track sea surface heights (SSH), significant wave heights (SWH), and sea surface wind speeds (SSWS) were assessed, including their precision and accuracy. In order to achieve this goal, the mono-mission metrics of the HY-2B were analyzed and compared with those of the Jason-2 and Jason-3 over the same periods of time. The results of both direct comparison and cross comparison methods were presented in this study. The comparison results indicated that the quality of the HY-2B satellite’s geophysical data records (GDRs) data was excellent, with 95% of the sea surfaces effectively observed between 82 degrees north and south latitudes. In addition, the standard deviation of the sea level anomalies (SLA) at the single mission crossovers was 4.6 cm to 5.8 cm, and at the dual-crossovers with Jason-3, the standard deviation was determined to be 5.1 cm to 5.8 cm. The accuracy levels of the significant wave heights and products of the HY-2B satellite radar altimeter were observed to be greater than 0.3 m and 1.4 m/s (STD), respectively. Therefore, it was concluded in this study that the data quality and system performance of the HY-2B satellite were excellent and stable, and could be widely utilized in such fields as global sea-level change monitoring, wave numerical assimilation predictions etc.

Sea Level Variability in Long Island Sound

Estuaries ◽  
1990 ◽  
Vol 13 (4) ◽  
pp. 362 ◽  
Author(s):  
Kuo-Chuin Wong
Keyword(s):  
Sea Level ◽  
Long Island ◽  
Long Island Sound ◽  
Sea Level Variability ◽  
Island Sound

scholarly journals Predicting Sea-Level Rise in Al Hamra Development, Ras Al Khaimah, UAE

2015 ◽  
Vol 07 (2) ◽  
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Information Needs ◽  
Arabian Gulf ◽  
Pilot Project ◽  
Water Levels ◽  
Eastern Coast ◽  
Future Research ◽  
Accurate Information ◽  
Elevation Data

The Al Hamra development in the emirate of Ras Al Khaimah is situated along the south-eastern coast of the Arabian Gulf. The development fronts the Gulf along a 5 km. stretch of sandy beach and, as it includes 5 hotels, numerous villas and condos, represents a significant investment. Such an investment requires long-term strategies to minimize risk from sea level rise. As IPCC reports continue to be updated with new information, predictions of sea level rise have been revised upward. In order to plan for the protection of these, and other developments, accurate information needs to be supplied to those involved in planning adaptation strategies. This paper seeks to quantify and map the potential area subject to inundation up to the year 2099. Using the highest inundation scenario, a GIS map of inundation will be created. Other factors, such as high tides, storm surge and extreme wave events will see water levels increased beyond the predicted sea level scenarios indicating greater risk of flooding. This project will use LiDAR data in a GIS environment to provide the most accurate elevation data. Other layers showing buildings assist in visualizing future vulnerability to sea level rise. This coastline is heavily developed with construction underway for more resort developments. As the risk from sea level rise evolves over a long time period, planners require accurate information that can be easily updated in order to react to revised predictions. This paper represents a pilot project as future research is planned to examine the entire 65km coastline of Ras Al Khaimah

scholarly journals On the Occurrences of Critical Waves and Water Levels in the Venice Lagoon: A Statistical Analysis for the Management of the Operativity of the Mose System

2021 ◽  
Author(s):  
Giuseppe Tomasicchio ◽  
Gianfausto Salvadori ◽  
Letizia Lusito ◽  
Antonio Francone ◽  
Ferdinando Frega ◽  
...  
Keyword(s):  
Venice Lagoon ◽  
Water Levels ◽  
Economic Losses ◽  
Significant Wave ◽  
Cruise Ships ◽  
Italian Government ◽  
Economical System ◽  
Wave Heights ◽  
Significant Wave Heights ◽  
Near Future

Abstract The particular structure and configuration of the Venice lagoon represents a paramount case study concerning coastal flooding which affects natural, historical/cultural properties, together with industrial, commercial, economical and port activities. In order to defend Venice (and other sites) within the lagoon from severe floods, the Italian Government promoted the construction of a complex hydraulic/maritime system, including a movable storm surge barrier named Experimental Electromechanical Module (MoSE), to be activated when specific water levels occur. When the MoSE barriers are raised, the only access to the lagoon for commercial and cruise ships is represented by the Malamocco lock gate, provided that suitable safety conditions (involving the significant wave height) are satisfied. In addition, the Italian Government has recently established that, in the near future, large ships will always have to enter/exit the lagoon only through the Malamocco gate. In turn, the navigation within the Venice lagoon is (will be) controlled by the combined MoSE-Malamocco system, ruled by both univariate and bivariate paradigms/guidelines. As a novelty, in the present work, for the first time, the statistics of significant wave heights and water levels in the Venice lagoon (both univariate and bivariate ones) are investigated: in particular, these variables turn out to be dependent, and their joint occurrence (statistically modeled via Copulas) can determine the stop of ship navigation, yielding significant economic losses. Here, univariate and bivariate Return Periods and Failure Probabilities are used to thoroughly model the statistical behavior of significant wave heights and water levels, in order to provide useful quantitative indications for the management of the tricky hydraulic, maritime and economical system of the Venice lagoon.

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