12 results on '"sea level extremes"'
Search Results
2. Baltic Sea Level: Past, Present, and Future
- Author
-
Weisse, Ralf and Hünicke, Birgit
- Published
- 2019
- Full Text
- View/download PDF
3. Tsunamis in the Mexican coasts during the period 2009-2018 and their behavior.
- Author
-
Zavala-Hidalgo, Jorge, Trujillo-Rojas, Katia, Gómez-Ramos, Octavio, Zarza-Alvarado, Miriam, Hernández-Maguey, Felipe, and Gutiérrez-Quijada, Valente
- Subjects
- *
HIGHPASS electric filters , *EXPONENTIAL functions , *SEA level , *COASTS , *TIME series analysis , *TSUNAMIS , *BEACHES - Abstract
The main characteristics of the tsunamis that occurred in Mexico in the period 2009–2018 and their predominant features are analyzed. During this period there were eleven tsunamis. A total of 54 time series with sea level signals associated with tsunamis were analyzed. In each case a high-pass filter was applied to remove the astronomical tide, and the computation of arrival time, travel times, distance from the source, heights, maximum amplitudes and periods were conducted. A spectral analysis was performed to determine the dominant frequencies for each tsunami and sea level station, and the decay time of the tsunami wave train was computed adjusting an exponential function. The spectral patterns were more similar for each location than for the same tsunami, which was concluded from the qualitative analysis of the spectra and their correlations. The maximum wave height occurs after 1 to 5 hours of the arrival of the first wave for local events, and between 6 to 22 hours for remote events. The characteristic frequencies and behavior for each location were identified and is expected that will be similar in future events, therefore these results may help decision makers in the implementation of risk reduction policies. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
4. Increased Extreme Coastal Water Levels Due to the Combined Action of Storm Surges and Wind Waves.
- Author
-
Marcos, Marta, Rohmer, Jérémy, Vousdoukas, Michalis Ioannis, Mentaschi, Lorenzo, Le Cozannet, Gonéri, and Amores, Angel
- Subjects
- *
FLOODS , *WIND waves , *STORM surges , *TERRITORIAL waters , *ATMOSPHERIC models , *WAVES (Fluid mechanics) - Abstract
The dependence between extreme storm surges and wind waves is assessed statistically along the global coasts using the outputs of two numerical models consistently forced with the same atmospheric fields. We show that 55% of the world coastlines face compound storm surge wave extremes. Hence, for a given level of probability, neglecting these dependencies leads to underestimating extreme coastal water levels. Dependencies are dominant in midlatitudes and are likely underestimated in the tropics due to limited representation of tropical cyclones. Furthermore, we show that in half of the areas with dependence, the estimated probability of occurrence of coastal extreme water levels increases significantly when it is accounted for. Translated in terms of return periods, this means that along 30% of global coastlines, extreme water levels expected at most once in a century without considering dependence between storm surges and waves become a 1 in 50‐year event. Plain Language Summary: Coastal flooding is caused by a combination of factors, among which storm surges and wind waves are of major relevance due to their potentially large contributions to coastal extreme sea levels and their widespread effects. Based on global scale numerical simulations of these two components, we have investigated the relationship between extreme storm surges and waves along the world coastlines. We find that in more than half of the coastal regions, storm surges tend to be accompanied by large wind waves, thus increasing the potential coastal flooding. Measures for coastal protection often rely on the probability of occurrence of exceedance events (return periods for prescribed water heights), which in turn is determined by the dependence between the contributors to extreme sea levels. The dependency between surges and waves implies that the likelihood of co‐occurrence of extremes is higher than assuming these two variables as unrelated. More specifically, the probability of facing a 1 in 100‐year event is more than doubled in 30% of the global coastlines when accounting for the dependence between storm surges and waves. Considering these dependencies has a strong impact on return period estimates of extreme high waters and is therefore relevant for the design of coastal defenses. Key Points: Extreme storm surges and wind waves tend to occur in concurrence along 55% of the world coastlinesReturn periods of extreme sea levels are underestimated (by a factor of 2 or higher) in 30% of the coasts, if dependence is neglected [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
5. Climatology and process-oriented analysis of the Adriatic sea level extremes
- Author
-
Iva Medugorac, Marko Mlinar, Ivica Vilibić, Mira Pasaric, Jadranka Sepic, and Maja Karlović
- Subjects
Adriati Sea ,sea-level extremes ,seiche ,tide ,surge ,planetary waves ,climatology ,decomposition ,Adriatic Sea ,Sea Level Extremes ,Tide ,Synoptic Process ,Planetary Waves ,Climatology ,Process oriented ,Environmental science ,Geology ,Aquatic Science ,Sea level - Abstract
The northern and the eastern coast of the Adriatic Sea are occasionally affected by extreme sea-levels known to cause substantial material damage. These extremes appear due to the superposition of several ocean processes that occur at different periods, have different spatial extents, and are caused by distinct forcing mechanisms.To better understand the extremes, hourly sea-level time series from six tide-gauge stations located along the northern and the eastern Adriatic coast (Venice, Trieste, Rovinj, Bakar, Split, Dubrovnik) were collected for the period of 1956 to 2015 (1984 to 2015 for Venice) and analysed. The time series have been checked for spurious data, and then decomposed using tidal analysis and filtering procedures. The following time series were thus obtained for each station: (1) trend; (2) seasonal signal; (3) tides; (4-7) sea-level oscillations at periods: (4) longer than 100 days, (5) from 10 to 100 days, (6) from 6 hours to 10 days, and (7) shorter than 6 hours. These bands correspond, respectively, to sea-level fluctuations dominantly forced by (but not restricted to): (1) climate change and land uplift and sinking; (2) seasonal changes; (3) tidal forcing; (4); quasi-stationary atmospheric and ocean circulation and climate variability patterns; (5) planetary atmospheric waves; (6) synoptic atmospheric processes; and (7) mesoscale atmospheric processes.Positive sea-level extremes surpassing 99.95 and 99.99 percentile values, and negative sea-level extremes lower than 0.05 and 0.01 percentile values were extracted from the original time series for each station. It was shown that positive (negative) extremes are up to 50-100% higher (lower) in the northern than in the south-eastern Adriatic. Then, station-based distributions, return periods, seasonal distributions, event durations, and trends were estimated and assessed. It was shown that the northern Adriatic positive sea-level extremes are dominantly caused by synoptic atmospheric processes superimposed to positive tide (contributing jointly to ~70% of total extreme height), whereas more to the south-east, positive extremes are caused by planetary atmospheric waves, synoptic atmospheric processes, and tides (each contributing with an average of ~25%). As for the negative sea-level extremes, these are due to a combination of planetary atmospheric waves and tides: in the northern Adriatic tide provides the largest contribution (~60%) while in the south-eastern Adriatic the two processes are of similar impact (each contributing with an average of ~30%). The simultaneity of the events along the entire northern and eastern Adriatic coast was studied as well, revealing that positive extremes are strongly regional dependant, i.e. that they usually appear simultaneously only along one part of the coast, whereas negative extremes are more likely to appear along the entire coast at the same time.Finally, it is suggested that the distribution of sea-level extremes along the south-eastern Adriatic coast can be explained as a superposition of tidal forcing and prevailing atmospheric processes, whereas for the northern Adriatic, strong topographic enhancement of sea-level extremes is also important.
- Published
- 2022
- Full Text
- View/download PDF
6. The influence of interannual variability of mean sea level in the Adriatic Sea on extreme values.
- Author
-
Bruno, M.F., Molfetta, M.G., and Petrillo, A.F.
- Subjects
- *
SEA level , *FLOODS , *COASTAL changes , *TIDES - Abstract
Bruno, M.F., Molfetta, M.G., Petrillo, A.F., 2014. The influence of interannual variability of mean sea level in the Adriatic Sea on extreme values. In: Green, A.N. and Cooper, J.A.G. (eds.), Proceedings 13th International Coastal Symposium (Durban, South Africa), Journal of Coastal Research, Special Issue No. 70, pp. 241-246, ISSN 0749-0208. The analysis of sea level data, in the low and middle Adriatic (south of Italy),collected by 6 stations belonging to the National Tide Gauge Network and to Apulia Region Meteomarine Network, shows a generalized increase in the mean sea level from 2008. The change between 2007 and 2009 is in the order of about 10 cm. A GPD distribution has been fitted to extreme series (5 extremes per year from 1999 to 2012) of sea level observed values, observed levels corrected with current annual mean sea level and tidal residuals. The analysis shows a significant increase in extremes of sea level values, while the extremes of corrected observed values and tidal residuals are quite similar respect to those found using observed data updated to 2006. Due to the sea level increase, the extremes, in observed sea level, rise drastically when updating time series to 2012, but, removing the effect of Mean Sea Level (MSL), these differences significantly decrease in the return levels. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
7. Scenario-Based Projection of Extreme Sea Levels.
- Author
-
Obeysekera, Jayantha and Park, Joseph
- Subjects
- *
SEA level , *FLOOD forecasting research , *EXTREME value theory , *CLIMATE change research , *FLOODS , *NATURE reserves - Abstract
Heavily populated urban centers and natural areas located in low-lying coastal regions are highly vulnerable to sea-level extremes. Historical data at many tide gages suggest that changes over time in extremes generally follow the rise in mean sea level. Assuming this observation to hold in the future, a relationship between mean sea-level rise and its associated extremes with a generalized extreme value distribution can provide future return levels of extreme sea levels. Current projections of future sea level, which include varying degrees of acceleration, may result in large increases in extremes that need to be accounted for in the evaluation of existing coastal projects or in the planning of new ones. Because precise quantitative estimates of the uncertainties in sea-level rise projections are not available, scenario-based approaches have been suggested for project evaluation and design. Here, we propose a general method based on the synthesis of extreme value statistics with sea-level rise scenarios that allows any combination of linear or nonlinear local and global sea-level rise components and can accommodate the nonstationary evolution of sea-level extremes. The temporal variation of the design level of protection for coastal projects, expressed as the return period of extreme events, and the future behavior of the risk are explored. The concepts are demonstrated through application to tide gage data at several locations in the United States. [ABSTRACT FROM AUTHOR]
- Published
- 2013
- Full Text
- View/download PDF
8. Increased extreme coastal water levels due to the combined action of storm surges and wind waves
- Author
-
Marta Marcos, Lorenzo Mentaschi, Gonéri Le Cozannet, Angel Amores, Michalis Vousdoukas, Jeremy Rohmer, European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Marcos M., Rohmer J., Vousdoukas M.I., Mentaschi L., Le Cozannet G., Amores A., Institut Mediterrani d'Estudis Avancats (IMEDEA), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC)-Universidad de las Islas Baleares (UIB), Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), European Commission - Joint Research Centre [Ispra] (JRC), and University of the Aegean
- Subjects
PROBABILITIES ,010504 meteorology & atmospheric sciences ,HURRICANE WAVES ,[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] ,Coastal flooding ,Storm surge ,sea level extreme ,010502 geochemistry & geophysics ,01 natural sciences ,sea level extremes ,SETUP ,Wind wave ,storm surge ,compound events ,14. Life underwater ,Coastal flood ,SEA LEVELS ,RAINFALL ,[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment ,[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography ,0105 earth and related environmental sciences ,RISK ,compound event ,Global change ,MODEL ,Geophysics ,Oceanography ,Action (philosophy) ,13. Climate action ,General Earth and Planetary Sciences ,Environmental science ,storm surges ,wind waves - Abstract
The dependence between extreme storm surges and wind waves is assessed statistically along the global coasts using the outputs of two numerical models consistently forced with the same atmospheric fields. We show that 55% of the world coastlines face compound storm surge wave extremes. Hence, for a given level of probability, neglecting these dependencies leads to underestimating extreme coastal water levels. Dependencies are dominant in midlatitudes and are likely underestimated in the tropics due to limited representation of tropical cyclones. Furthermore, we show that in half of the areas with dependence, the estimated probability of occurrence of coastal extreme water levels increases significantly when it is accounted for. Translated in terms of return periods, this means that along 30% of global coastlines, extreme water levels expected at most once in a century without considering dependence between storm surges and waves become a 1 in 50-year event., This study was supported by the ERA4CS INSeaPTION project (grants 690462 and PCIN‐2017‐038).
- Published
- 2019
- Full Text
- View/download PDF
9. Increased extreme coastal water levels due to the combined action of storm surges and wind waves
- Author
-
European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Marcos, Marta, Rohmer, Jérémy, Vousdoukas, Michalis I., Mentaschi, Lorenzo, Cozannet, Gonéri, Amores, Ángel, European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Marcos, Marta, Rohmer, Jérémy, Vousdoukas, Michalis I., Mentaschi, Lorenzo, Cozannet, Gonéri, and Amores, Ángel
- Abstract
The dependence between extreme storm surges and wind waves is assessed statistically along the global coasts using the outputs of two numerical models consistently forced with the same atmospheric fields. We show that 55% of the world coastlines face compound storm surge wave extremes. Hence, for a given level of probability, neglecting these dependencies leads to underestimating extreme coastal water levels. Dependencies are dominant in midlatitudes and are likely underestimated in the tropics due to limited representation of tropical cyclones. Furthermore, we show that in half of the areas with dependence, the estimated probability of occurrence of coastal extreme water levels increases significantly when it is accounted for. Translated in terms of return periods, this means that along 30% of global coastlines, extreme water levels expected at most once in a century without considering dependence between storm surges and waves become a 1 in 50-year event.
- Published
- 2019
10. The ability of a barotropic model to simulate sea level extremes of meteorological origin in the Mediterranean Sea, including those caused by explosive cyclones
- Author
-
Helena A. Flocas, Michael N. Tsimplis, Francesc M. Calafat, J. Kouroutzoglou, George Zodiatis, E. Avgoustoglou, and Gabriel Jordá
- Subjects
Explosive material ,Storm surge ,explosive cyclones ,Oceanography ,sea level extremes ,Geophysics ,Mediterranean sea ,13. Climate action ,Space and Planetary Science ,Geochemistry and Petrology ,Climatology ,Barotropic fluid ,storm surge ,Earth and Planetary Sciences (miscellaneous) ,High spatial resolution ,Environmental science ,Tide gauge ,14. Life underwater ,numerical model ,Coastal management ,Sea level - Abstract
© 2014. American Geophysical Union. All Rights Reserved. Storm surges are responsible for great damage to coastal property and loss of life every year. Coastal management and adaptation practices are essential to reduce such damage. Numerical models provide a useful tool for informing these practices as they simulate sea level with high spatial resolution. Here we investigate the ability of a barotropic version of the HAMSOM model to simulate sea level extremes of meteorological origin in the Mediterranean Sea, including those caused by explosive cyclones. For this purpose, the output of the model is compared to hourly sea level observations from six tide gauge records (Valencia, Barcelona, Marseille, Civitavecchia, Trieste, and Antalya). It is found that the model underestimates the positive extremes significantly at all stations, in some cases by up to 65%. At Trieste, the model can also sometimes overestimate the extremes significantly. The differences between the model and the residuals are not constant for extremes of a given height, which limits the applicability of the numerical model for storm surge forecasting because calibration is difficult. The 50 and 10 year return levels are reasonably well captured by the model at all stations except Barcelona and Marseille, where they are underestimated by over 30%. The number of exceedances of the 99.9th and 99.95% percentiles over a period of 25 years is severely underestimated by the model at all stations. The skill of the model for predicting the timing and value of the storm surges seems to be higher for the events associated with explosive cyclones at all stations., F.M. Calafat was supported under a Marie Curie International Outgoing Fellowship (IOF) within the 7th European Community Framework Programme (grant agreement PIOFGA-2010–275851). G. Jorda acknowledges a postdoctoral grant from the Conselleria d’Educació, Cultura i Universitats del Govern de les Illes Balears, and the European Science Foundation
- Published
- 2014
- Full Text
- View/download PDF
11. The influence of interannual variability of mean sea level in the Adriatic Sea on extreme values
- Author
-
Maria Francesca Bruno, Matteo Gianluca Molfetta, and Antonio Felice Petrillo
- Subjects
Series (stratigraphy) ,Coastal flooding ,Mean sea level ,Sea level extremes ,Ecology ,Water Science and Technology ,Earth-Surface Processes ,Metres above sea level ,Current (stream) ,Geography ,Climatology ,Tide gauge ,Extreme value theory ,Coastal flood ,Sea level - Abstract
Bruno, M.F., Molfetta, M.G., Petrillo, A.F., 2014. The influence of interannual variability of mean sea level in the Adriatic Sea on extreme values. In: Green, A.N. and Cooper, J.A.G. (eds.), Proceedings 13 th International Coastal Symposium (Durban, South Africa), Journal of Coastal Research, Special Issue No. 70, pp. 241-246, ISSN 0749-0208. The analysis of sea level data, in the low and middle Adriatic (south of Italy),collected by 6 stations belonging to the National Tide Gauge Network and to Apulia Region Meteomarine Network, shows a generalized increase in the mean sea level from 2008. The change between 2007 and 2009 is in the order of about 10 cm. A GPD distribution has been fitted to extreme series (5 extremes per year from 1999 to 2012) of sea level observed values, observed levels corrected with current annual mean sea level and tidal residuals. The analysis shows a significant increase in extremes of sea level values, while the extremes of corrected observed values and tidal residuals are quite similar respect to those found using observed data updated to 2006. Due to the sea level increase, the extremes, in observed sea level, rise drastically when updating time series to 2012, but, removing the effect of Mean Sea Level (MSL), these differences significantly decrease in the return levels.
- Published
- 2014
- Full Text
- View/download PDF
12. The ability of a barotropic model to simulate sea level extremes of meteorological origin in the Mediterranean Sea, including those caused by explosive cyclones
- Author
-
Calafat, Francesc M., Avgoustoglou, Euripides, Jordá, Gabriel, Flocas, H., Zodiatis, George, Tsimplis, M. N., Kouroutzoglou, John, Calafat, Francesc M., Avgoustoglou, Euripides, Jordá, Gabriel, Flocas, H., Zodiatis, George, Tsimplis, M. N., and Kouroutzoglou, John
- Abstract
© 2014. American Geophysical Union. All Rights Reserved. Storm surges are responsible for great damage to coastal property and loss of life every year. Coastal management and adaptation practices are essential to reduce such damage. Numerical models provide a useful tool for informing these practices as they simulate sea level with high spatial resolution. Here we investigate the ability of a barotropic version of the HAMSOM model to simulate sea level extremes of meteorological origin in the Mediterranean Sea, including those caused by explosive cyclones. For this purpose, the output of the model is compared to hourly sea level observations from six tide gauge records (Valencia, Barcelona, Marseille, Civitavecchia, Trieste, and Antalya). It is found that the model underestimates the positive extremes significantly at all stations, in some cases by up to 65%. At Trieste, the model can also sometimes overestimate the extremes significantly. The differences between the model and the residuals are not constant for extremes of a given height, which limits the applicability of the numerical model for storm surge forecasting because calibration is difficult. The 50 and 10 year return levels are reasonably well captured by the model at all stations except Barcelona and Marseille, where they are underestimated by over 30%. The number of exceedances of the 99.9th and 99.95% percentiles over a period of 25 years is severely underestimated by the model at all stations. The skill of the model for predicting the timing and value of the storm surges seems to be higher for the events associated with explosive cyclones at all stations.
- Published
- 2014
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.