[HTML][HTML] Controlling the global weather
RN Hoffman - Bulletin of the American Meteorological Society, 2002 - journals.ametsoc.org
… the weather has often appeared in science fiction literature, this statement of the problem
provides a scientific basis and a system architecture to actually implement global weather …
provides a scientific basis and a system architecture to actually implement global weather …
[HTML][HTML] The future of the global weather enterprise: Opportunities and risks
A Thorpe, D Rogers - Bulletin of the American Meteorological …, 2018 - journals.ametsoc.org
The Global Weather Enterprise (GWE) encompasses the scientific research, technology,
observations, modeling, forecasting, and forecast products that need to come together to …
observations, modeling, forecasting, and forecast products that need to come together to …
A baseline for global weather and climate simulations at 1 km resolution
In an attempt to advance the understanding of the Earth's weather and climate by representing
deep convection explicitly, we present a global, four‐month simulation (November 2018 …
deep convection explicitly, we present a global, four‐month simulation (November 2018 …
Horizontal grids for global weather and climate prediction models: a review
A Staniforth, J Thuburn - Quarterly Journal of the Royal …, 2012 - Wiley Online Library
A latitude–longitude grid is used by almost all operational atmospheric forecast models, and
many research models. However, it is expected that the advantages of a latitude–longitude …
many research models. However, it is expected that the advantages of a latitude–longitude …
WeatherBench 2: A benchmark for the next generation of data‐driven global weather models
WeatherBench 2 is an update to the global, medium‐range (1–14 days) weather forecasting
benchmark proposed by (Rasp et al., 2020, https://doi.org/10.1029/2020ms002203 ), …
benchmark proposed by (Rasp et al., 2020, https://doi.org/10.1029/2020ms002203 ), …
Learning skillful medium-range global weather forecasting
Global medium-range weather forecasting is critical to decision-making across many social
and economic domains. Traditional numerical weather prediction uses increased compute …
and economic domains. Traditional numerical weather prediction uses increased compute …
Impact of derived global weather data on simulated crop yields
… The GWDs selected for our study and one global weather station database are publically
accessible, diverse in spatial and temporal resolution, and widely used in the published …
accessible, diverse in spatial and temporal resolution, and widely used in the published …
Challenges and design choices for global weather and climate models based on machine learning
… In this paper, the question will be discussed in the context of global weather forecasts. A toy
model for global weather predictions will be presented and used to identify challenges and …
model for global weather predictions will be presented and used to identify challenges and …
Forecasting global weather with graph neural networks
R Keisler - arXiv preprint arXiv:2202.07575, 2022 - arxiv.org
… We present a data-driven approach for forecasting global weather using graph neural
networks. The system learns to step forward the current 3D atmospheric state by six hours, and …
networks. The system learns to step forward the current 3D atmospheric state by six hours, and …
CLIMADA v1: a global weather and climate risk assessment platform
G Aznar-Siguan, DN Bresch - Geoscientific Model …, 2019 - gmd.copernicus.org
The need for assessing the risk of extreme weather events is ever increasing. In addition to
quantification of risk today, the role of aggravating factors such as high population growth …
quantification of risk today, the role of aggravating factors such as high population growth …