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News from members

Session on LEWS at EGU2022

NEWS received from
Luca Piciullo, Dalia Kirschbaum, Neelima Satyam, Samuele Segoni, and Stefano Luigi Gariano

The EGU General Assembly 2022 #EGU22 will return as an in-person/hybrid event to Vienna, Austria, from 3-8 April 2022, once again bringing together geoscientists from all over the world.
The session entitled “Towards reliable Landslide Early Warning Systems” is now open to receive your contributions.

The session focuses on LEWSs at both regional and local scales. The session wishes to highlight operational approaches, original achievements and developments useful to operate reliable (efficient and effective) local and territorial LEWSs.
Contributions addressing the following topics are welcome:
rainfall thresholds definition for warning purposes;
–  monitoring systems for early warning purposes;
warning models for warning levels issuing;
performance analysis of landslide warning models;
communication strategies;
emergency phase management.

More info at https://meetingorganizer.copernicus.org/EGU22/session/43376

The deadline for abstract submission is 12 January 2022, 13:00 CET.

For those applying for EGU Roland Schlich travel support, the deadline is 1 December 2021, 13:00 CET. Only EGU members with a valid 2022 membership will be able to submit abstracts to EGU22 and, with a few exceptions, only one abstract as first author will be permitted.

Note on presentation format: if you plan on participating virtually, you should submit your abstract to a vPICO session, since the oral/poster sessions will not provide the possibility for virtual presentation. If you plan on attending in-person in Vienna, feel free to submit to any session, vPICO as well as oral/poster sessions.

Looking forward to receiving your contributions and to meeting you all (in person or virtually) soon!
Luca Piciullo, Dalia Kirschbaum, Neelima Satyam, Samuele Segoni, Stefano Luigi Gariano

Categorie
News from members

New SHEAR publications introducing LEWS

NEWS received from
Mirianna Budimir, Practical Action, SHEAR Knowledge Broker

The Science for Humanitarian Emergencies and Resilience (SHEAR) programme funded by FCDO and UKRI NERC supports world-leading research to enhance the quality, availability and use of risk and forecast information.

SHEAR is delighted to share with you three complementary resources that bring together learning and knowledge from across SHEAR and published literature to provide an introduction to landslide early warning systems for practitioners, donors, and researchers in developing countries:

We hope these introductory guides are useful for the LandAware community. For further information on the SHEAR programme and associated landslide projects and publications, please visit http://shear.org.uk.