Review article: Observations for high-impact weather and their use in verification
-
Published:2021-04-26
Issue:4
Volume:21
Page:1297-1312
-
ISSN:1684-9981
-
Container-title:Natural Hazards and Earth System Sciences
-
language:en
-
Short-container-title:Nat. Hazards Earth Syst. Sci.
Author:
Marsigli ChiaraORCID, Ebert ElizabethORCID, Ashrit Raghavendra, Casati Barbara, Chen Jing, Coelho Caio A. S., Dorninger ManfredORCID, Gilleland EricORCID, Haiden Thomas, Landman Stephanie, Mittermaier MarionORCID
Abstract
Abstract. Verification of forecasts and warnings of high-impact
weather is needed by the meteorological centres, but how to perform it still
presents many open questions, starting from which data are suitable as
reference. This paper reviews new observations which can be considered for
the verification of high-impact weather and provides advice for their usage
in objective verification. Two high-impact weather phenomena are considered:
thunderstorm and fog. First, a framework for the verification of high-impact
weather is proposed, including the definition of forecast and observations
in this context and creation of a verification set. Then, new observations
showing a potential for the detection and quantification of high-impact
weather are reviewed, including remote sensing datasets, products developed
for nowcasting, datasets derived from telecommunication systems, data
collected from citizens, reports of impacts and claim/damage reports from
insurance companies. The observation characteristics which are relevant for
their usage in forecast verification are also discussed. Examples of
forecast evaluation and verification are then presented, highlighting the
methods which can be adopted to address the issues posed by the usage of
these non-conventional observations and objectively quantify the skill of a
high-impact weather forecast.
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
Reference72 articles.
1. Anderson, G. and Klugmann, D.: A European lightning density analysis using 5 years of ATDnet data, Nat. Hazards Earth Syst. Sci., 14, 815–829, https://doi.org/10.5194/nhess-14-815-2014, 2014. 2. Barras, H., Hering, A., Martynov, A., Noti, P.-A., Germann, U., and Martius,
O.: Experiences with >50 000 crowdsourced hail reports in
Switzerland, B. Am. Meteorol. Soc., 100, 1429–1440, https://doi.org/10.1175/BAMS-D-18-0090.1, 2019. 3. Bazlova, T., Bocharnikov, N., and Solonin, A.: Aviation operational
nowcasting systems, 3rd European Nowcasting Conference, Madrid, 24–26 April
2019, available at: https://enc2019.aemet.es/ (last access: 21 April 2021), 2019. 4. Ben Bouallegue, Z., Haiden, T., Weber, N. J., Hamill, T. M., and Richardson,
D. S.: Accounting for Representativeness in the Verification of Ensemble
Precipitation Forecasts, Mon. Weather Rev., 148, 2049–2062,
https://doi.org/10.1175/MWR-D-19-0323.1, 2020. 5. Betz, H. D., Schmidt, K., Laroche, P., Blanchet, P., Oettinger, W. P.,
Defer, E., Dziewit, Z., and Konarski, J.: LINET – An international
lightning detection network in Europe, Atmos. Res., 91, 564–573,
https://doi.org/10.1016/j.atmosres.2008.06.012, 2009.
Cited by
16 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|