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of 62
pro vyhledávání: '"HUUG VAN DEN DOOL"'
Autor:
Huug van den Dool
This clear and accessible text describes the methods underlying short-term climate prediction at time scales of 2 weeks to a year. Although a difficult range to forecast accurately, there have been several important advances in the last ten years, mo
Publikováno v:
Weather & Forecasting; May2023, Vol. 38 Issue 5, p637-654, 18p
Autor:
Li-Chuan Gwen Chen, Huug van den Dool
Publikováno v:
Weather and Forecasting. 32:1967-1987
In this study, an optimal weighting system is developed that combines multiple seasonal probabilistic forecasts in the North American Multimodel Ensemble (NMME). The system is applied to predict temperature and precipitation over the North American c
Publikováno v:
Journal of Climate. 30:1103-1125
In this study, precipitation and temperature forecasts during El Niño–Southern Oscillation (ENSO) events are examined in six models in the North American Multimodel Ensemble (NMME), including the CFSv2, CanCM3, CanCM4, the Forecast-Oriented Low Oc
Publikováno v:
Weather and Forecasting. 32:199-206
An ordinary regression of predicted versus observed probabilities is presented as a direct and simple procedure for minimizing the Brier score (BS) and improving the attributes diagram. The main example applies to seasonal prediction of extratropical
Autor:
Huug van den Dool, Rongcai Ren, Xingren Wu, Yueyue Yu, Jin Huang, Ming Cai, Yi Deng, Suru Saha
Publikováno v:
Bulletin of the American Meteorological Society. 97:1475-1489
Extreme weather events such as cold-air outbreaks (CAOs) pose great threats to human life and the socioeconomic well-being of modern society. In the past, our capability to predict their occurrences has been constrained by the 2-week predictability l
Autor:
Huug van den Dool, Emily Becker
Publikováno v:
Journal of Climate. 29:3015-3026
The North American Multimodel Ensemble (NMME) forecasting system has been continuously producing seasonal forecasts since August 2011. The NMME, with its suite of diverse models, provides a valuable opportunity for characterizing forecast confidence
Publikováno v:
Handbook of Hydrometeorological Ensemble Forecasting ISBN: 9783642404573
Handbook of Hydrometeorological Ensemble Forecasting
Handbook of Hydrometeorological Ensemble Forecasting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f1a845efa1b6861a17bb7b8aab66333
https://doi.org/10.1007/978-3-642-40457-3_12-1
https://doi.org/10.1007/978-3-642-40457-3_12-1
Publikováno v:
Journal of Applied Meteorology and Climatology. 54:1579-1595
Since 2002, the International Research Institute for Climate and Society, later in partnership with the Climate Prediction Center, has issued an ENSO prediction product informally called the ENSO prediction plume. Here, measures to improve the reliab
Publikováno v:
Journal of the Atmospheric Sciences. 72:349-368
This study investigates dominant patterns of daily surface air temperature anomalies in winter (November–February) and their relationship with the meridional mass circulation variability using the daily Interim ECMWF Re-Analysis in 1979–2011. Mas