The forecast skill horizon
By Roberto Buizza, Martin Leutbecher. 2015
148 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/7a085ea76d0f98460e8dca4a1b017104da157778
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- A. Butler
- Jonathan A. Weyn
- C. Garfinkel
- D. Domeisen
- A. Charlton-Perez
- Peter Dueben
- A. Marshall
- M. Baldwin
In Global and Planetary Change
- A. Butler
- C. Garfinkel
- D. Domeisen
- Jonathan A. Weyn
- A. Charlton-Perez
- Peter Dueben
- A. Marshall
- M. Baldwin
Citations in the corpus
- The Teleconnection of El Niño Southern Oscillation to the Stratosphere (2019, background): “While deterministic predictability of the NAO in weather models is limited to a few days—though with a theoretical limit of about 3 weeks (Buizza & Leutbecher, 2015; Domeisen, Badin, et al., 2018)—on longer time scales, remote effects can improve statistical predictability.”
- The Role of the Stratosphere in Subseasonal to Seasonal Prediction: 2. Predictability Arising From Stratosphere‐Troposphere Coupling (2020, background): “Although the theoretical limit of short-term weather forecasts is close to 3 weeks (Buizza & Leutbecher, 2015; Domeisen et al., 2018; Zhang et al., 2019), weather predictions beyond 2 weeks have traditionally been challenging, as unpredictable 'weather noise' is large compared to the signals that…”
- WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting (2020, background): “ of low and high pressure systems in the mid-latitudes, and tropical cyclones. Because of the chaotic nature of the atmospheric flow, deterministic prediction is usually not possible beyond two weeks (Buizza and Leutbecher, 2015; Selz, 2019). However, it is possible to create probabilistic seasonal f”