Innovations in winter storm forecasting and decision support services

DR Novak, SE Perfater, JL Demuth… - Bulletin of the …, 2023 - journals.ametsoc.org
Winter storms are disruptive to society and the economy, and they often cause significant
injuries and deaths. Innovations in winter storm forecasting have occurred across the value …

[HTML][HTML] The evolving role of humans in weather prediction and communication

NA Stuart, G Hartfield, DM Schultz… - Bulletin of the …, 2022 - journals.ametsoc.org
The Evolving Role of Humans in Weather Prediction and Communication in: Bulletin of the
American Meteorological Society Volume 103 Issue 8 (2022) Jump to Content Logo Logo Logo …

Improved forecast skill through the assimilation of dropsonde observations from the Atmospheric River Reconnaissance program

M Zheng, L Delle Monache… - Journal of …, 2021 - Wiley Online Library
Landfalling atmospheric rivers (ARs) over the western US are responsible for∼ 30%–50%
of the annual precipitation, and their accurate forecasts are essential for aiding water …

Neighborhood-and object-based probabilistic verification of the OU MAP ensemble forecasts during 2017 and 2018 Hazardous Weather Testbeds

A Johnson, X Wang, Y Wang, A Reinhart… - Weather and …, 2020 - journals.ametsoc.org
An object-based probabilistic (OBPROB) forecasting framework is developed and applied,
together with a more traditional neighborhood-based framework, to convection-permitting …

[HTML][HTML] Investigations into mode characteristics of wind fields off the Guangdong coast using Empirical Orthogonal Function

L Ren, W Zhang, Y Wang, H Wang, H Yang, Q Zhu… - Energy Reports, 2022 - Elsevier
As one of the clean and renewable energy sources, wind energy has received increasing
attentions from the public in recent years. Large-scale investigations into wind speeds and …

Prospects for Machine Learning Activity within the United States National Weather Service

PJ Roebber, S Smith - Bulletin of the American Meteorological …, 2023 - journals.ametsoc.org
Abstract The National Weather Service (NWS) Office of Science and Technology Integration
commissioned a report to assess the status of artificial intelligence (AI) and machine …

Nonlinear forced change and nonergodicity: The case of ENSO-Indian monsoon and global precipitation teleconnections

T Bódai, G Drótos, KJ Ha, JY Lee… - Frontiers in Earth …, 2021 - frontiersin.org
We study the forced response of the teleconnection between the El Niño–Southern
Oscillation (ENSO) and the Indian summer monsoon (IM) in the Max Planck Institute Grand …

Comparison of Clustering Approaches in a Multimodel Ensemble for US East Coast Cold Season Extratropical Cyclones

BM Kiel, BA Colle - Weather and Forecasting, 2024 - journals.ametsoc.org
Several clustering approaches are evaluated for 1–9-day forecasts using a multimodel
ensemble that includes the GEFS, ECMWF, and Canadian ensembles. Six clustering …

A comparative study of multi-model ensemble forecasting accuracy between equal-and variant-weight techniques

X Wei, X Sun, J Sun, J Yin, J Sun, C Liu - Atmosphere, 2022 - mdpi.com
Previous studies on multi-model ensemble forecasting mainly focused on the weight
allocation of each model, but did not discuss how to suppress the reduction of ensemble …

Stochastically perturbed parameterizations for the process-level representation of model uncertainties in the CMA global ensemble prediction system

F Peng, X Li, J Chen - Journal of Meteorological Research, 2022 - Springer
To represent model uncertainties at the physical process level in the China Meteorological
Administration global ensemble prediction system (CMA-GEPS), a stochastically perturbed …