Numerical modeling of storm surges in the coast of Mozambique: the cases of tropical cyclones Bonita (1996) and Lisette (1997)

Bié, Alberto José; Camargo, Ricardo de; Mavume, Alberto; Harari, Joseph

doi:10.1007/s10236-017-1095-7

Cited by 7 publications

(6 citation statements)

References 61 publications

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“…A statistical analysis was carried out using the MATLAB ® package to obtain monthly and annual averages. The low peak average temperature is related to the La Niña phenomenon in Mozambique, which is associated with above-average rains (Bié et al, 2017;Miguel et al, 2017b). The high peak average temperatures are related to dry seasons and intense El Niño phenomena in Mozambique as reported by Dixon (2016) in South Africa, Moore et al (2008), and by Billeaud et al (2009) and Sorrel et al (2012).…”

Section: Methodsmentioning

confidence: 81%

“…The high peak average temperatures are related to dry seasons and intense El Niño phenomena in Mozambique as reported by Dixon (2016) in South Africa, Moore et al (2008), and by Billeaud et al (2009) and Sorrel et al (2012). The choice made in this study is based on the understanding that storms can lead to the formation of strong positive anomaly dipoles in the Indian Ocean (Dixon, 2016;Bié et al, 2017). Furthermore, Webster et al (2005) state that these anomalies are strongly related to the warming of sea surface temperatures (ENSO events), and an increase in the frequency of cyclones.…”

Section: Methodsmentioning

confidence: 92%

“…An annual monitoring of dune migration was conducted to determine the dune rate movement between January 2016 and February 2017. The choice made in this study is based on the understanding that storms can lead to the formation of strong positive anomaly dipoles in the Indian Ocean (Dixon, 2016;Bié et al, 2017). A statistical analysis was carried out using the MATLAB ® package to obtain monthly and annual averages.…”

Section: Methodsmentioning

confidence: 99%

“…Furthermore, Webster et al (2005) state that these anomalies are strongly related to the warming of sea surface temperatures (ENSO events), and an increase in the frequency of cyclones. The low peak average temperature is related to the La Niña phenomenon in Mozambique, which is associated with above-average rains (Bié et al, 2017;Miguel et al, 2017b). Besides the temperature peaks, the low and high annual rainfalls associated with rainless days helped to identify the episodic events in southern Mozambique.…”

Section: Methodsmentioning

confidence: 99%

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Aeolian dynamics of transgressive dunefields on the southern Mozambique coast, Africa

Miguel

Castro

2018

Earth Surf Processes Landf

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A relatively unknown coastal zone of southern Mozambique in Africa is covered by vast mobile and stabilized dunefields. The aeolian dynamics of these transgressive dunefields are studied based on mobility and stability models, statistical analysis of climate data and topographic profiles. Detailed analyses of regional winds, rainfall records, atmospheric temperature records and annual monitoring of dune migration rates helped to find reliable data about instantaneous aeolian sand transport rates, wind drift potential, dune mobility and dune migration rates. The data obtained suggest that the coastal transgressive dunefields are controlled by the southeast winds, availability of loose sediments on the beach, the presence of headland boundary between Maputo and Gaza provinces and the appropriate deposition spaces between the coastline and lacustrine‐lagoon systems. Two distinctive segments of transgressive dunefields were identified in the region studied, including the northern segment of Maputo province with active (mobile) and semi‐vegetated dunes that migrate 23 m/yr landward, and Gaza province dunefields with stabilized (vegetated) and semi‐vegetated dunes. The data obtained in this research have considerable potential to make a valuable contribution to the study of coastal dunefields. Copyright © 2018 John Wiley & Sons, Ltd.

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Section: Methodsmentioning

confidence: 81%

Section: Methodsmentioning

confidence: 92%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Aeolian dynamics of transgressive dunefields on the southern Mozambique coast, Africa

Miguel

Castro

2018

Earth Surf Processes Landf

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“…Matyas (2015) based on R1 and other datasets addressed the environmental characteristics for cyclones occurring within the Mozambique Channel. Bié et al (2017) used CFSR to force an ocean circulation model and study storm surges due to two tropical cyclones on the coast of Mozambique.…”

Section: Introductionmentioning

confidence: 99%

Tropical cyclones position and intensity in the Southwest Indian Ocean as represented by CFS and ERA5 atmospheric reanalysis datasets

Bié

Camargo

2023

Intl Journal of Climatology

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Tropical cyclones are the most devastating meteorological systems that affect the Southwestern Indian Ocean (SWIO) bordering nations. The understanding of their track and intensity evolution is essential for the characterization of the systems. The National Centers for Environmental Prediction–Climate Forecast System (CFS) dataset and the ECWMF fifth‐generation reanalysis (ERA5) are evaluated against best‐track data from the International Best‐Track Archive for Climate Stewardship (IBTrACS) from 1980 to 2019 cyclone seasons. The cyclones were tracked within the reanalyses using a tracking algorithm based on relative vorticity and identified using a spatiotemporal matching method. Climatology from IBTrACS showed significant negative (positive) trend in the total number (number of intense) of systems; however, the evaluation of trends has to be cautious because it may be limited due to uncertainties in the first decades of data. Results for reanalyses showed that both performed similarly although some peculiarities were noted. CFS presented a slightly higher probability of detection, related to its special treatment of tropical cyclone‐like vortex, being able to reproduce all systems between 2000 and 2019. For positions, the majority of the systems have average errors around 50–60 km and the errors generally decrease with the intensity of the systems in both reanalyses, with ERA5 being slightly better during the early stages, while CFS outperforms ERA5 for intensity beyond the IBTrACS's moderate tropical storm category. Intensity follows a reverse pattern of position, with reanalyses largely degrading systems' intensity as they intensify. CFS (ERA5) appeared to be slightly better in terms of maximum wind (minimum sea‐level pressure), representing stronger systems although both datasets were unable to reproduce wind intensities beyond the tropical cyclone category. All evaluated parameters showed improvements when the most recent data period (2000–2019) is considered, especially in ERA5, tailored to an improved quality of the observations that are used to generate best‐track data and also to nudge the reanalyses through data assimilation. Based on the reanalyses characteristics revealed here, the choice of the most suitable dataset to address a specific study within the SWIO region may be dependent on the desired parameters and period.

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Meteorological and Climatic Aspects of Cyclone Idai and Kenneth

Dube

Chapungu

Fitchett

2021

Sustainable Development Goals Series

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Numerical modeling of storm surges in the coast of Mozambique: the cases of tropical cyclones Bonita (1996) and Lisette (1997)

Cited by 7 publications

References 61 publications

Aeolian dynamics of transgressive dunefields on the southern Mozambique coast, Africa

Aeolian dynamics of transgressive dunefields on the southern Mozambique coast, Africa

Tropical cyclones position and intensity in the Southwest Indian Ocean as represented by CFS and ERA5 atmospheric reanalysis datasets

Meteorological and Climatic Aspects of Cyclone Idai and Kenneth

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