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Leijala, U., BjÖrkqvist, J.-V., Johansson, M.M., Pellikka, H., Laakso, L. and Kahma, K.K. (2018) Combining Probability Distributions of Sea Level Variations and Wave Run-Up to Evaluate Coastal Flooding Risks. Natural Hazards and Earth System Sciences, 18, 2785-2799.
https://doi.org/10.5194/nhess-18-2785-2018

has been cited by the following article:

• TITLE: Impact of Seasonal Low on Sea Level Rise

  AUTHORS: Mirza Jawwad Baig, M. Jawed Iqbal, Saba Naz

  KEYWORDS: Sea Level, South Asia Low pressure, Indian Ocean

  JOURNAL NAME: International Journal of Geosciences, Vol.10 No.1, January 28, 2019

  ABSTRACT: Every region around the globe has its unique climatic conditions which are set based on different orographic constant and atmospheric dynamic features. These features posses’ variability on different time scales. Determining the local sea level change based on terrestrial non-tidal, short-term variability is complicated. Some internal mechanisms of ocean are also taking place along with the external physical ones. We show that variability at Sindh-Baluchistan coastal belt can be greatly explained via dimensional indices of the position and intensity of the atmospheric center of action (COAs). This technique has already proved its usefulness at number of location especially in Northern Atlantic. It takes into account the changes in the atmospheric pressure which is exerted on the sea surface influencing the variability in sea level on seasonal scale and on inter-annual basis. As warming causes thermal expansion of water it also causes changes in atmospheric circulation. Both of these processes affect the sea level variability on their respective time scales. Atmospheric being the quicker one of the two to pass on the effect is also more influential to explain the variability in local sea level. In this attempt the COA approach is used to assess the impact of low pressure on local sea levels.