Ensemble flood forecasting: A review
HL Cloke, F Pappenberger - Journal of hydrology, 2009 - Elsevier
Operational medium range flood forecasting systems are increasingly moving towards the
adoption of ensembles of numerical weather predictions (NWP), known as ensemble …
adoption of ensembles of numerical weather predictions (NWP), known as ensemble …
An overview of the 2010 hazardous weather testbed experimental forecast program spring experiment
AJ Clark, SJ Weiss, JS Kain, IL Jirak… - Bulletin of the …, 2012 - journals.ametsoc.org
The NOAA Hazardous Weather Testbed (HWT) conducts annual spring forecasting
experiments organized by the Storm Prediction Center and National Severe Storms …
experiments organized by the Storm Prediction Center and National Severe Storms …
A machine learning model that outperforms conventional global subseasonal forecast models
Skillful subseasonal forecasts are crucial for various sectors of society but pose a grand
scientific challenge. Recently, machine learning-based weather forecasting models …
scientific challenge. Recently, machine learning-based weather forecasting models …
[HTML][HTML] The North American multimodel ensemble: phase-1 seasonal-to-interannual prediction; phase-2 toward developing intraseasonal prediction
BP Kirtman, D Min, JM Infanti, JL Kinter… - Bulletin of the …, 2014 - journals.ametsoc.org
Berner, J., FJ Doblas-Reyes, TN Palmer, G. Shutts, and A. Weisheimer, 2008: Impact of a
quasi-stochastic cellular automaton backscatter scheme on the systematic error and …
quasi-stochastic cellular automaton backscatter scheme on the systematic error and …
[HTML][HTML] The development of the NCEP global ensemble forecast system version 12
X Zhou, Y Zhu, D Hou, B Fu, W Li… - Weather and …, 2022 - journals.ametsoc.org
Abstract The Global Ensemble Forecast System (GEFS) is upgraded to version 12, in which
the legacy Global Spectral Model (GSM) is replaced by a model with a new dynamical core …
the legacy Global Spectral Model (GSM) is replaced by a model with a new dynamical core …
[图书][B] Forecast verification: a practitioner's guide in atmospheric science
IT Jolliffe, DB Stephenson - 2012 - books.google.com
Forecast Verification: A Practioner's Guide in Atmospheric Science, 2nd Edition provides an
indispensible guide to this area of active research by combining depth of information with a …
indispensible guide to this area of active research by combining depth of information with a …
[HTML][HTML] Calibrated probabilistic forecasting using ensemble model output statistics and minimum CRPS estimation
Calibrated Probabilistic Forecasting Using Ensemble Model Output Statistics and Minimum
CRPS Estimation in: Monthly Weather Review Volume 133 Issue 5 (2005) Jump to Content …
CRPS Estimation in: Monthly Weather Review Volume 133 Issue 5 (2005) Jump to Content …
Ensemble forecasting
M Leutbecher, TN Palmer - Journal of computational physics, 2008 - Elsevier
Numerical weather prediction models as well as the atmosphere itself can be viewed as
nonlinear dynamical systems in which the evolution depends sensitively on the initial …
nonlinear dynamical systems in which the evolution depends sensitively on the initial …
[HTML][HTML] The ROC curve and the area under it as performance measures
C Marzban - Weather and Forecasting, 2004 - journals.ametsoc.org
The receiver operating characteristic (ROC) curve is a two-dimensional measure of
classification performance. The area under the ROC curve (AUC) is a scalar measure …
classification performance. The area under the ROC curve (AUC) is a scalar measure …
Evaluating probabilistic forecasts using information theory
MS Roulston, LA Smith - Monthly Weather Review, 2002 - journals.ametsoc.org
The problem of assessing the quality of an operational forecasting system that produces
probabilistic forecasts is addressed using information theory. A measure of the quality of the …
probabilistic forecasts is addressed using information theory. A measure of the quality of the …