Identifying and quantifying uncertainties in process representations regulating aerosol-cloud-precipitation interactions and constraining them using deep learning techniques

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    W[2019AGUFM.A51S2901M]
    LA["Linked Authors (0)"]
    LI["Linked Institutions (5)"]
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ADS bibcode
2019AGUFM.A51S2901M
year
2019
Listed Authors
Ma, P. L.
Harrop, B. E.
Larson, V. E.
Mulmenstadt, J.
Neale, R. B.
Rasch, P. J.
Stinis, P.
Xiao, H.
Listed Institutions
Pacific Northwest National Laboratory, Richland, WA, United States
Atmospheric Sciences, University of Washington Seattle Campus, Seattle, WA, United States
Univ Wisconsin-Milwaukee, Milwaukee, WI, United States
Leipzig Institute for Meteorology, University of Leipzig, Leipzig, Germany
NCAR, Boulder, CO, United States
Pacific Northwest National Lab, Richland, WA, United States
Pacific Northwest National Laboratory, Richland, United States
Pacific Northwest Natl Lab, Richland, WA, United States

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