Challenges and Recent Advances in Hail Research

Challenges and Recent Advances in Hail Research CHALLENGES AND RECENT ADVANCES IN HAIL RESEARCH Olivia Martius , a . h ering , M. Kunz , a . Manzat O, s . MOhr , l . n isi , and s . t refalt n severa l regions around t he world, severe SECOND EUROPEAN HAIL WORKSHOP hailstorms frequently cause considerable damage I to buildings, agriculture, and vehicles, resulting in What : About 130 representatives from the academic large economic and insured losses. Estimating local- community, operational weather services, and scale hail frequency, which is required, for example, the insurance industry met in Bern, Switzerland, for insurance risk models, or assessing long-term for three days to discuss the current state of hail trends in light of climate change are challenging research and to identify key research gaps and future challenges. tasks, particularly because direct, homogeneous, When : 19–21 April 2017 long-term hail observations are mostly missing. At Where : Bern, Switzerland present, numerical weather prediction (NWP) and nowcasting models often still fail to reliably predict hailstorms, even at lead times of minutes to hours. This is mainly due to the microphysical processes The scope of hail research presented at the involved that are yet to be better http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bulletin of the American Meteorological Society American Meteorological Society

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1520-0477
eISSN
1520-0477
D.O.I.
10.1175/BAMS-D-17-0207.1
Publisher site
See Article on Publisher Site

Abstract

CHALLENGES AND RECENT ADVANCES IN HAIL RESEARCH Olivia Martius , a . h ering , M. Kunz , a . Manzat O, s . MOhr , l . n isi , and s . t refalt n severa l regions around t he world, severe SECOND EUROPEAN HAIL WORKSHOP hailstorms frequently cause considerable damage I to buildings, agriculture, and vehicles, resulting in What : About 130 representatives from the academic large economic and insured losses. Estimating local- community, operational weather services, and scale hail frequency, which is required, for example, the insurance industry met in Bern, Switzerland, for insurance risk models, or assessing long-term for three days to discuss the current state of hail trends in light of climate change are challenging research and to identify key research gaps and future challenges. tasks, particularly because direct, homogeneous, When : 19–21 April 2017 long-term hail observations are mostly missing. At Where : Bern, Switzerland present, numerical weather prediction (NWP) and nowcasting models often still fail to reliably predict hailstorms, even at lead times of minutes to hours. This is mainly due to the microphysical processes The scope of hail research presented at the involved that are yet to be better

Journal

Bulletin of the American Meteorological SocietyAmerican Meteorological Society

Published: Mar 6, 2018

References

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