Recommendations for Comprehensive and Independent Evaluation of Machine Learning-Based Earth System Models

Autor: Ullrich, Paul A., Barnes, Elizabeth A., Collins, William D., Dagon, Katherine, Duan, Shiheng, Elms, Joshua, Lee, Jiwoo, Leung, L. Ruby, Lu, Dan, Molina, Maria J., O'Brien, Travis A.

Machine learning (ML) is a revolutionary technology with demonstrable applications across multiple disciplines. Within the Earth science community, ML has been most visible for weather forecasting, producing forecasts that rival modern physics-based

Externí odkaz: http://arxiv.org/abs/2410.19882

Current understanding and quantification of clouds in the changing climate system and strategies for reducing critical uncertainties

Autor: Quaas, Johannes, Bony, Sandrine, Collins, William D., Donner, Leo, Illingworth, Anthony, Jones, Andy, Lohmann, Ulrike, Satoh, Masaki, Schwartz, Stephen E., Tao, Wei-Kuo, Wood, Robert

Publikováno v: Clouds in the perturbed climate system : their relationship to energy balance, atmospheric dynamics, and precipitation. - Edited by Jost Heintzenberg and Robert J. Charlson. (Strüngmann Forum Reports) 2009. Cambridge, Mass., USA : MIT Press. ISBN 978-0-262-01287-4. - S. 557-573

To date, no observation-based proxy for climate change has been successful in quantifying the feedbacks between clouds and climate. The most promising, yet demanding, avenue to gain confi dence in cloud–climate feedback estimates is to utilize obse

Externí odkaz: https://ul.qucosa.de/id/qucosa%3A14124
https://ul.qucosa.de/api/qucosa%3A14124/attachment/ATT-0/

Detected changes in precipitation extremes at their native scales derived from in situ measurements

Autor: Risser, Mark D., Paciorek, Christopher J., O'Brien, Travis A., Wehner, Michael F., Collins, William D.

The gridding of daily accumulated precipitation -- especially extremes -- from ground-based station observations is problematic due to the fractal nature of precipitation, and therefore estimates of long period return values and their changes based o

Externí odkaz: http://arxiv.org/abs/1902.05977

A probabilistic gridded product for daily precipitation extremes over the United States

Autor: Risser, Mark D., Paciorek, Christopher J., Wehner, Michael F., O'Brien, Travis A., Collins, William D.

Gridded data products, for example interpolated daily measurements of precipitation from weather stations, are commonly used as a convenient substitute for direct observations because these products provide a spatially and temporally continuous and c

Externí odkaz: http://arxiv.org/abs/1807.04177

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