Bayesian estimation of the parameters of the nonlinear cloud and rain equation: finding physically relevant model parameters from large-eddy simulations.

    flowchart
    W[2018AGUFMNG33B0947L]
    LA["Linked Authors (0)"]
    LI["Linked Institutions (4)"]
    W== author ==>LA
    W== affil ==>LI
    click LA "#linked-authors"
    click LI "#linked-institutions"
Graph neighborhood for 'Bayesian estimation of the parameters of the nonlinear cloud and rain equation: finding physically relevant model parameters from large-eddy simulations.'. Click aggregate nodes to navigate.
ADS bibcode
2018AGUFMNG33B0947L
year
2018
Listed Authors
Lunderman, S.
Morzfeld, M.
Glassmeier, F.
Feingold, G.
Listed Institutions
University of Arizona, Tucson, AZ, United States
Lawrence Berkeley National Lab, Oakland, CA, United States
ETH Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
NOAA ESRL, Boulder, CO, United States

Linked Authors [?]

Linked Institutions