Trends in the skill of weather prediction at lead times of 1–14 days
@article{Stern2015TrendsIT, title={Trends in the skill of weather prediction at lead times of 1–14 days}, author={H. Stern and N. Davidson}, journal={Quarterly Journal of the Royal Meteorological Society}, year={2015}, volume={141}, pages={2726-2736} }
Unique, multi-year datasets of weather observations and official and experimental predictions are used to document trends in weather forecast accuracy and the current level of forecast skill specifically for Melbourne, Australia. The data are applied to quantify prediction skill out to Day-14 for maximum and minimum temperature, and for precipitation amount and probability. An innovative statistical analysis is applied to the data. This analysis clearly demonstrates the need for long time… CONTINUE READING
Paper Mentions
24 Citations
Evaluating the role of mixed frequency real-time weather data in economic forecasts
- Computer Science
- 2017
- PDF
The Accuracy of Weather Predictions, from the Next Day to the Next Season — an Illustration from Australia
- Environmental Science
- 2017
- 1
- PDF
Comparing the Skill Displayed by Two Statistical Schemes that Interpret the ECMWF Ensemble Prediction System Control Model and the NCEP Global Forecast System (GFS) Model
- Computer Science
- 2018
- PDF
Transforming Wildfire Detection and Prediction Using New and Underused Sensor and Data Sources Integrated with Modeling
- Environmental Science, Computer Science
- Handbook of Dynamic Data Driven Applications Systems
- 2018
- 2
References
SHOWING 1-10 OF 23 REFERENCES
Establishing the limits of predictability at Melbourne, Australia, using a knowledge-based forecasting system and NOAA's long-range NWP model
- Environmental Science
- 2005
- 11
- PDF
Ability of a Poor Man's Ensemble to Predict the Probability and Distribution of Precipitation
- Environmental Science
- 2001
- 287
A Comparison of the ECMWF, MSC, and NCEP Global Ensemble Prediction Systems
- Environmental Science
- 2005
- 552
- PDF