Challenges of Operational Weather Forecast Verification and Evaluation

Author:

Pagano Thomas C.1ORCID,Casati Barbara2,Landman Stephanie3,Loveday Nicholas1,Taggart Robert1,Ebert Elizabeth E.1,Khanarmuei Mohammadreza1,Jensen Tara L.45,Mittermaier Marion6,Roberts Helen6,Willington Steve6,Roberts Nigel6,Sowko Mike7,Strassberg Gordon7,Kluepfel Charles7,Bullock Timothy A.8,Turner David D.9,Pappenberger Florian10,Osborne Neal11,Noble Chris11

Affiliation:

1. Bureau of Meteorology, Melbourne, Victoria, Australia;

2. Environment and Climate Change Canada, Dorval, Quebec, Canada;

3. South African Weather Service, Pretoria, South Africa;

4. National Center for Atmospheric Research, Boulder, Colorado;

5. Developmental Testbed Center, Boulder, Colorado;

6. Met Office, Exeter, United Kingdom;

7. National Weather Service, Silver Spring, Maryland;

8. Environment and Climate Change Canada, Dartmouth, Nova Scotia, Canada;

9. NOAA/Global Systems Laboratory, Boulder, Colorado;

10. European Centre for Medium Range Weather Forecasts, Reading, United Kingdom;

11. Meteorological Service of New Zealand, Wellington, New Zealand

Abstract

Abstract Operational agencies face significant challenges related to the verification and evaluation of weather forecasts. These challenges were investigated in a series of online workshops and polls engaging operational personnel from six countries. Five key themes emerged: inadequate verification approaches for both existing and emerging products; incomplete and uncertain observations; difficulties in accurately capturing users’ real-world experiences using simplified metrics; poor communication and understanding of forecasts and complex verification information; and institutional factors such as limited resources, evolving meteorologist roles, and concerns over reputational damage. We identify nearly 50 operationally relevant scientific questions and suggest calls to action. Addressing these needs includes designing forecast systems with verification as a central consideration, enhancing the availability of observations, and developing and adopting community software systems. Additionally, we propose the establishment of an international community comprising environmental and social science researchers, statisticians, verification practitioners, and users to provide sustained support for this collective endeavor.

Publisher

American Meteorological Society

Reference40 articles.

1. Panel discussion on forecast verification (Held by the District of Columbia Branch on December 12, 1951);Allen, R. A.,1952

2. A pilot forecasting system for epidemic thunderstorm asthma in southeastern Australia;Bannister, T.,2021

3. The quiet revolution of numerical weather prediction;Bauer, P.,2015

4. The Model Evaluation Tools (MET): More than a decade of community-supported forecast verification;Brown, B.,2021

5. Forecast verification: Current status and future directions;Casati, B.,2008

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