Description

Current and future storm tide risk study for Samoa. These risks are quantified by estimating 20, 50 and 100 year maximum storm tide height return intervals under a variety of climate conditions and sea levels using a combined statistical/dynamical method. This data collection comprises around 50 GB >10000 files Tropical Cyclone Tracks, Storm tide model runs, other input information, derived statistical gridded data. Access to this data is restricted and relies on scripts.

Lineage: Historic and synthetic tropical cyclone tracks and associated wind, sea level pressure and water level fields. Statistical analysis.

Credit: International Best Track Archive for Climate Stewardship (IBTrACS) ; Tide gauge data provided by Australian Bureau of Meteorology and the University of Hawaii. Global tide model provided by Oregon State University. This data collection is a product is funded and supported by the Australian Government through the Pacific Australian Climate Change Science and Adaptation Planning Programme (PACCSAP). PACCSAP was funded by Department of Foreign Affair & Trade, managed by the Department of the Environment and the science was delivered by the partnership between CSIRO and the Bureau of Meteorology. This output was produced as part of PACCSAP Project 1.4.4: Effect of climate variability and climate change on extreme sea level and coastal impacts.

Publication Year
2 015
Author(s)
Kathy McInnes, Ron Hoeke
Language
English
Resource Type
Rights Statement
All Rights (including copyright) CSIRO Australia 2015. Creative Commons Attribution Licence. Although the associated metadata is public, the data has not been approved for general release. Please phone or email the contact person for this data collection to discuss access to the data.
Attribution Statement
Kathy McInnes; Ron Hoeke (2015): Current and future storm tide risks for Samoa. v1. CSIRO. Data Collection. 102.100.100/22136
General Note
Custodian: CSIRO Enquiries [email protected] 1300 363 400
Publisher
The University of Melbourne, Bureau of Meteorology, CSIRO