Data assimilation in the geosciences: An overview of methods, issues, and perspectives
We commonly refer to state estimation theory in geosciences as data assimilation (DA). This
term encompasses the entire sequence of operations that, starting from the observations of a …
term encompasses the entire sequence of operations that, starting from the observations of a …
A review of high impact weather for aviation meteorology
This review paper summarizes current knowledge available for aviation operations related
to meteorology and provides suggestions for necessary improvements in the measurement …
to meteorology and provides suggestions for necessary improvements in the measurement …
[HTML][HTML] Deep learning for twelve hour precipitation forecasts
Existing weather forecasting models are based on physics and use supercomputers to
evolve the atmosphere into the future. Better physics-based forecasts require improved …
evolve the atmosphere into the future. Better physics-based forecasts require improved …
A first-of-its-kind multi-model convection permitting ensemble for investigating convective phenomena over Europe and the Mediterranean
A recently launched project under the auspices of the World Climate Research Program's
(WCRP) Coordinated Regional Downscaling Experiments Flagship Pilot Studies program …
(WCRP) Coordinated Regional Downscaling Experiments Flagship Pilot Studies program …
[HTML][HTML] Toward convective-scale prediction within the next generation global prediction system
Baldauf, M., A. Seifert, J. Forstner, D. Majewski, M. Raschendorfer, and T. Reinhardt, 2011:
Operational convective-scale numerical weather prediction with the COSMO model …
Operational convective-scale numerical weather prediction with the COSMO model …
NORA3: A nonhydrostatic high-resolution hindcast of the North Sea, the Norwegian Sea, and the Barents Sea
H Haakenstad, Ø Breivik, BR Furevik… - Journal of Applied …, 2021 - journals.ametsoc.org
Abstract The 3-km Norwegian Reanalysis (NORA3) is a 15-yr mesoscale-permitting
atmospheric hindcast of the North Sea, the Norwegian Sea, and the Barents Sea. With a …
atmospheric hindcast of the North Sea, the Norwegian Sea, and the Barents Sea. With a …
A spatiotemporal deep learning model ST-LSTM-SA for hourly rainfall forecasting using radar echo images
Accurate and timely short-term forecasting services of precipitation variable are significant
for people's lives and property security. The data-driven approaches demonstrate promising …
for people's lives and property security. The data-driven approaches demonstrate promising …
Leveraging modern artificial intelligence for remote sensing and NWP: Benefits and challenges
SA Boukabara, V Krasnopolsky… - Bulletin of the …, 2019 - journals.ametsoc.org
Artificial intelligence (AI) techniques have had significant recent successes in multiple fields.
These fields and the fields of satellite remote sensing and NWP share the same fundamental …
These fields and the fields of satellite remote sensing and NWP share the same fundamental …
Crossing multiple gray zones in the transition from mesoscale to microscale simulation over complex terrain
This review paper explores the field of mesoscale to microscale modeling over complex
terrain as it traverses multiple so-called gray zones. In an attempt to bridge the gap between …
terrain as it traverses multiple so-called gray zones. In an attempt to bridge the gap between …
A generative adversarial network approach to (ensemble) weather prediction
A Bihlo - Neural Networks, 2021 - Elsevier
We use a conditional deep convolutional generative adversarial network to predict the
geopotential height of the 500 hPa pressure level, the two-meter temperature and the total …
geopotential height of the 500 hPa pressure level, the two-meter temperature and the total …