Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Alea Yeasmin"'
Autor:
Md Wahiduzzaman, Alea Yeasmin
Publikováno v:
Coasts, Vol 4, Iss 3, Pp 594-608 (2024)
This study examines the frequency of tropical cyclones in the Bay of Bengal and their impact on Bangladesh. The extent of environmental harm led to the selection of two specific areas: the Panpatty Union and Galachipa Upzilla in the Patuakhali distri
Externí odkaz:
https://doaj.org/article/28ff80dcaca64ea0bcc6fe58a076bd9b
Autor:
Md Wahiduzzaman, Alea Yeasmin
Publikováno v:
Atmosphere, Vol 15, Iss 8, p 987 (2024)
This study introduces an innovative analytical methodology for examining the interconnections among the atmosphere, ocean, and society. The primary area of interest pertains to the North Atlantic Oscillation (NAO), a notable phenomenon characterised
Externí odkaz:
https://doaj.org/article/024ed29651524a4bb7ddca3a018cfeff
Publikováno v:
Weather and Climate Extremes, Vol 39, Iss , Pp 100543- (2023)
Southwest Pacific nations are highly vulnerable to extreme weather and climate events, particularly those associated with synoptic-scale systems such as tropical cyclones (TCs) and depressions (TDs). This study utilises the Okubo–Weiss–Zeta param
Externí odkaz:
https://doaj.org/article/0237e9c093ad4e35b954e1c43fc44e54
Autor:
Md Wahiduzzaman, Alea Yeasmin
Publikováno v:
Applied Sciences, Vol 12, Iss 22, p 11604 (2022)
The shifting pattern of the Ganges-Padma River in Bangladesh is examined using satellite images. The meandering Ganges-Padma River has recently transformed into a braided river. Satellite imageries from 1973–2016 are used to compute the sinuosity r
Externí odkaz:
https://doaj.org/article/9623f16fe8db424b86634d2483591ff2
Publikováno v:
Atmosphere, Vol 13, Iss 7, p 1128 (2022)
This paper presents a development of a statistical model of typhoon genesis, tracks based on kernel density estimation and a generalized additive model (GAM). Modeling of typhoon activity is ultimately beneficial to the people living in coastal zones
Externí odkaz:
https://doaj.org/article/4e7cb17c43e8425880f44def3ece33b1
Publikováno v:
Atmosphere, Vol 11, Iss 9, p 897 (2020)
Over time, the initial algorithms to derive atmospheric density from accelerometers have been significantly enhanced. In this study, we discussed one of the accurate accelerometers—the Earth’s Magnetic Field and Environment Explorers, more common
Externí odkaz:
https://doaj.org/article/c23f06a5ef08462ba12f123a51fd3bb8
Publikováno v:
Applied Sciences, Vol 10, Iss 7, p 2537 (2020)
In this study, a spatial model has been developed to investigate the role of water temperature to the distribution of bacteria over the selected regions in the Bay of Bengal, located in the southern region of Bangladesh using next-generation sequenci
Externí odkaz:
https://doaj.org/article/4f27b651fda748149ca24f5d4ee775dc
Autor:
Wahiduzzaman, Alea Yeasmin
Publikováno v:
Meteorology and Atmospheric Physics. 132:603-612
Tropical cyclone (TC) is the one of the most devastating weather systems which causes enormous loss of life and property in the coastal regions of North Indian Ocean (NIO) rim countries. TC modelling can help decision-makers and inhabitants in shorel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2964bb1273a54d1c1ba18672bc180609
https://doi.org/10.1007/s00703-019-00711-7
https://doi.org/10.1007/s00703-019-00711-7
Autor:
Wahiduzzaman, Alea Yeasmin
Publikováno v:
Atmospheric Research. 227:89-100
This paper investigates the forecast potential of tropical cyclone (TC) landfall probabilities over the North Indian Ocean (NIO) rim countries using ocean-climate predictor variables in a new statistical seasonal forecast model. A Poisson regression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34ee2c8aa3917504ae880d2d00451723
https://doi.org/10.1016/j.atmosres.2019.04.034
https://doi.org/10.1016/j.atmosres.2019.04.034
Publikováno v:
Atmosphere
Volume 11
Issue 9
Atmosphere, Vol 11, Iss 897, p 897 (2020)
Volume 11
Issue 9
Atmosphere, Vol 11, Iss 897, p 897 (2020)
Over time, the initial algorithms to derive atmospheric density from accelerometers have been significantly enhanced. In this study, we discussed one of the accurate accelerometers&mdash
the Earth&rsquo
s Magnetic Field and Environment Expl
the Earth&rsquo
s Magnetic Field and Environment Expl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5e2e6f2f72040d396420194cb2a85e5