Urban Expansion and Sea-Level Rise Related Flood Vulnerability for Mumbai (Bombay), India Using Remotely Sensed Data

Author(s):  
Firooza Pavri
2017 ◽  
Author(s):  
J. Rachel Carr ◽  
Heather Bell ◽  
Rebecca Killick ◽  
Tom Holt

Abstract. Novaya Zemlya (NVZ) has experienced rapid ice loss and accelerated marine-terminating glacier retreat during the past two decades. However, it is unknown whether this retreat is exceptional longer-term and/or whether it has persisted since 2010. Investigating this is vital, as dynamic thinning may contribute substantially to ice loss from NVZ, but is not currently included in sea level rise predictions. Here, we use remotely sensed data to assess controls on NVZ glacier retreat between the 1973/6 and 2015. Glaciers that terminate into lakes or the ocean receded 3.5 times faster than those that terminate on land. Between 2000 and 2013, retreat rates were significantly higher on marine-terminating outlet glaciers than during the previous 27 years, and we observe widespread slow-down in retreat, and even advance, between 2013 and 2015. There were some common patterns in the timing of glacier retreat, but the magnitude varied between individual glaciers. Rapid retreat between 2000–2013 corresponds to a period of significantly warmer air temperatures and reduced sea ice concentrations, and to changes in the NAO and AMO. We need to assess the impact of this accelerated retreat on dynamic ice losses from NVZ, to accurately quantify its future sea level rise contribution.


Author(s):  
Abderrahim Bentamy ◽  
Hafedh Hajji ◽  
Carlos Guedes Soares

This paper provides an overview of the analysis of remotely sensed data that has been performed within the scope of a project aiming at obtaining a 40-year hindcast of wind, sea level and wave climatology for the European waters. The satellite data, including wind, wave and sea-level data, are collected for the same areas and are calibrated with available and validated measurements. It will be used to be compared with the hindcast results, so as to yield some uncertainty measures related to the data. This paper describes the type of data that will be used and presents the initial results, which concern mainly remote sensed wind data.


2020 ◽  
Author(s):  
Timothy J. Callahan ◽  
◽  
Christopher E. Brown ◽  
Hannah Kuhl ◽  
Joshua Robinson

Author(s):  
Julian Bolleter ◽  
Bill Grace ◽  
Paula Hooper ◽  
Sarah Foster

2020 ◽  
Vol 8 (1) ◽  
pp. 5-18 ◽  
Author(s):  
Sonia H. Stephens ◽  
Daniel P. Richards

2015 ◽  
Vol 6 (4) ◽  
pp. 248-252 ◽  
Author(s):  
Wenbin Shen ◽  
Ziyu Shen ◽  
Rong Sun ◽  
Yuri Barkin

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