ABSTRACT "Around 8200 calBP, large parts of the now submerged North Sea continental shelf (‘Doggerland’) were catastrophically flooded by the Storegga Slide tsunami, one of the largest tsunamis known for the Holocene, which was generated on the Norwegian coastal margin by a submarine landslide. In the present paper, we derive a precise calendric date for the Storegga Slide tsunami, use this date for reconstruction of contemporary coastlines in the North Sea in relation to rapidly rising sea-levels, and discuss the potential effects of the tsunami on the contemporaneous Mesolithic population. One main result of this study is an unexpectedly high tsunami impact assigned to the western regions of Jutland." pdf, 14 pp, 2.5 Mb)

Today, our world is at the top of innovating. Technology is improving every day, people’s wishes and dreams are satisfied and thanks to it we can feel more and more comfortable. It seems that everything is alright but in fact our world has to fight with many problems and as well as number of our wishes is satisfied, the number of troubles is increasing.

Colombo, Natural disasters affect all communities but their impact on the Dalits and other marginalised social groups in India is the greatest, says an Indian social activist and researcher. (Contd...)

BANDA ACEH, Indonesia: A strong 7.5-magnitude quake rocked Indonesia's Aceh province Wednesday, killing three people, seriously injuring 25 others and briefly sparking a tsunami alert, officials said.

M. Ioualalen Geosciences Azur, IRD-CNRS-UPMC-UNSA, Villefranche-sur-Mer, France J. Asavanant Department of Mathematics, Chulalongkorn University, Bangkok, Thailand N. Kaewbanjak Department of Mathematics, Chulalongkorn University, Bangkok, Thailand S. T. Grilli Department of Ocean Engineering, University of Rhode Island, Narragansett, Rhode Island, USA J. T. Kirby Center for Applied Coastal Research, University of Delaware, Newark, Delaware, USA P. Watts Applied Fluids Engineering, Inc., Long Beach, California, USA Abstract The devastating 26 December 2004 Indian Ocean tsunami stressed the need for assessing tsunami hazard in vulnerable coastal areas. Numerical modeling is but one important tool for understanding past tsunami events and simulating future ones. Here we present a robust simulation of the event, which explains the large runups and destruction observed in coastal Thailand and identifies areas vulnerable to future tsunamis, or safer for reconstruction. To do so, we use an accurate tsunami source, which was iteratively calibrated in earlier work to explain the large-scale tsunami features, and apply it over a computational domain with a finer grid and more accurate coastal bathymetry in Thailand. Computations are performed with a well-validated numerical model based on fully nonlinear and dispersive Boussinesq equations (FUNWAVE) that adequately models the physics of tsunami propagation and runup, including dissipation caused by bottom friction and wave breaking. Simulated runups in Thailand reproduce field observations with a surprising degree of accuracy, as well as their high degree of along-coast variation: a 92% correlation is found between (58) runup observations and computations, while the model explains 85% of the observed variance; overall, the RMS error is approximately 1 m or 17% of the mean observed runup value (skill of the simulation). Because we did not use runup observations to calibrate our coseismic tsunami source, these results are robust, and thus provide a uniquely accurate synoptic prediction of tsunami impact along the Andaman coast of Thailand, including those areas where no observations were made. Received 29 July 2006; accepted 19 April 2007; published 24 July 2007. Keywords: tsunami; Thailand; runup. Index Terms: 4564 Oceanography: Physical: Tsunamis and storm surges; 4255 Oceanography: General: Numerical modeling (0545, 0560); 7999 Space Weather: General or miscellaneous. -------------------------------------------------------------------------------- Full Article (Nonsubscribers may purchase for $9.00, Includes print PDF, file size: 1178412 bytes) Citation: Ioualalen, M., J. Asavanant, N. Kaewbanjak, S. T. Grilli, J. T. Kirby, and P. Watts (2007), Modeling the 26 December 2004 Indian Ocean tsunami: Case study of impact in Thailand, J. Geophys. Res., 112, C07024, doi:10.1029/2006JC003850.