@Article{CasatiDoCoEbMaMiGi:2022:MaOuWa,
author = "Casati, Barbara and Dorninguer, Manfred and Coelho, Caio Augusto
dos Santos and Ebert, Elizabeth E. and Marsigli, Chiara and
Mittermaier, Marion P. and Gilleland, Eric",
affiliation = "{Environment and Climate Change Canada} and {University of Vienna}
and {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Bureau
of Meteorology} and {Deutscher Wetterdienst} and {Met Office} and
{National Center for Atmospheric Research}",
title = "The 2020 International Verification Methods Workshop Online: Major
Outcomes and Way Forward",
journal = "Bulletin of the American Meteorological Society",
year = "2022",
volume = "103",
number = "3",
pages = "e899--e910",
month = "Mar.",
keywords = "Forecast verification/skill.",
abstract = "The International Verification Methods Workshop was held online in
November 2020 and included sessions on physical error
characterization using process diagnostics and error tracking
techniques; exploitation of data assimilation techniques in
verification practices, e.g., to address representativeness issues
and observation uncertainty; spatial verification methods and the
Model Evaluation Tools, as unified reference verification
software; and meta-verification and best practices for scores
computation. The workshop reached out to diverse research
communities working in the areas of high-impact weather,
subseasonal to seasonal prediction, polar prediction, and sea ice
and ocean prediction. This article summarizes the major outcomes
of the workshop and outlines future strategic directions for
verification research.",
doi = "10.1175/BAMS-D-21-0126.1",
url = "http://dx.doi.org/10.1175/BAMS-D-21-0126.1",
issn = "0003-0007",
language = "en",
targetfile = "Bulletin of the American Meteorological Society] The 2020
International Verification Methods Workshop Online_ Major Outcomes
and Way Forward.pdf",
urlaccessdate = "25 jun. 2024"
}