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91探花
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Dr Antje Weisheimer (she)

Principal NCAS Research Fellow

Research theme

  • Climate physics

Sub department

  • Atmospheric, Oceanic and Planetary Physics

Research groups

  • Predictability of weather and climate
Antje.Weisheimer@physics.ox.ac.uk
Telephone: 01865 (2)82441
Robert Hooke Building, room S37
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Warming Stripes for 91探花 from 1814-2019

Warming Stripes for 91探花 from 1814-2019.

Tropical Cyclones in European Seasonal Forecast Models

Copernicus Publications (2020)

Authors:

Kevin Hodges, Daniel Befort, Antje Weisheimer

Seasonal forecasts of the 20th century

Bulletin of the American Meteorological Society American Meteorological Society 101:8 (2020) E1413-E1426

Authors:

Antje Weisheimer, Daniel Befort, David Macleod, Timothy Palmer, Chris O鈥橰eilly, Kristian Str酶mmen

Abstract:

New seasonal retrospective forecasts for 1901-2010 show that skill for predicting ENSO, NAO and PNA is reduced during mid-century periods compared to earlier and more recent high-skill decades.

Forecasts of seasonal climate anomalies using physically-based global circulation models are routinely made at operational meteorological centers around the world. A crucial component of any seasonal forecast system is the set of retrospective forecasts, or hindcasts, from past years which are used to estimate skill and to calibrate the forecasts. Hindcasts are usually produced over a period of around 20-30 years. However, recent studies have demonstrated that seasonal forecast skill can undergo pronounced multi-decadal variations. These results imply that relatively short hindcasts are not adequate for reliably testing seasonal forecasts and that small hindcast sample sizes can potentially lead to skill estimates that are not robust. Here we present new and unprecedented 110-year-long coupled hindcasts of the next season over the period 1901 to 2010. Their performance for the recent period is in good agreement with those of operational forecast models. While skill for ENSO is very high during recent decades, it is markedly reduced during the 1930s to 1950s. Skill at the beginning of the 20th Century is, however, as high as for recent high-skill periods. Consistent with findings in atmosphere-only hindcasts, a mid-century drop in forecast skill is found for a range of atmospheric fields including large-scale indices such as the NAO and the PNA patterns. As with ENSO, skill scores for these indices recover in the early 20th Century suggesting that the mid-century drop in skill is not due to lack of good observational data.

A public dissemination platform for our hindcast data is available and we invite the scientific community to explore them.

Anthropogenic influence on the 2018 summer warm spell in Europe: the impact of different spatio-temporal scales

Bulletin of the American Meteorological Society American Meteorological Society 101:S1 (2020) S41-S46

Authors:

Nicholas Leach, S Li, S Sparrow, GJ Van Oldenborgh, FC Lott, A Weisheimer, Allen

Abstract:

We demonstrate that, in attribution studies, events defined over longer time scales generally produce higher probability ratios due to lower interannual variability, reconciling seemingly inconsistent attribution results of Europe鈥檚 2018 summer heatwaves in reported studies.

Beyond skill scores: exploring sub-seasonal forecast value through a case study of French month-ahead energy prediction

(2020)

Authors:

Joshua Dorrington, Isla Finney, Tim Palmer, Antje Weisheimer

Optimising the use of ensemble information in numerical weather forecasts of wind power generation

Environmental Research Letters IOP Publishing 14:12 (2019) 124086-124086

Authors:

J Stanger, I Finney, A Weisheimer, T Palmer

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