Machine Learning Emulation of 3D Cloud Radiative Effects

Autor: Meyer, David, Hogan, Robin J., Dueben, Peter D., Mason, Shannon L.

Publikováno v: Meyer, D., Hogan, R. J., Dueben, P. D., & Mason, S. L. (2022). Machine Learning Emulation of 3D Cloud Radiative Effects. Journal of Advances in Modeling Earth Systems, 14(3)

The treatment of cloud structure in numerical weather and climate models is often greatly simplified to make them computationally affordable. Here we propose to correct the European Centre for Medium-Range Weather Forecasts 1D radiation scheme ecRad

Externí odkaz: http://arxiv.org/abs/2103.11919

Characterising the vertical structure of buildings in cities for use in atmospheric models

Autor: Stretton, Megan A., Hogan, Robin J., Grimmond, Sue, Morrison, William

Publikováno v: In Urban Climate July 2023 50

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Rainfall nowcasting by combining radars, microwave links and rain gauges

Autor: Bianchi, Blandine, van Leeuwen, Peter Jan, Hogan, Robin J., Berne, Alexis

The objective of this work is to provide high-resolution rain rate maps at short lead-time forecasts (nowcasts) necessary to anticipate flooding and properly manage sewage systems in urban areas by combining radars, rain gauges, and operational micro

Externí odkaz: http://arxiv.org/abs/1810.11811

A unified synergistic retrieval of clouds, aerosols, and precipitation from EarthCARE: the ACM-CAP product.

Autor: Mason, Shannon L.^1,2 (AUTHOR) shannon.mason@ecmwf.int, Hogan, Robin J.^2,3 (AUTHOR), Bozzo, Alessio^2,4 (AUTHOR), Pounder, Nicola L.^1,5 (AUTHOR)

Publikováno v: Atmospheric Measurement Techniques. 2023, Vol. 16 Issue 13, p3459-3486. 28p.