A distributional regression network acts as a backward operator to produce uncertainty-quantified, multivariate Gaussian retrievals of cloud properties from six solar channels for data assimilation.
Hoskins and Paul J
2 Pith papers cite this work. Polarity classification is still indexing.
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fields
physics.ao-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A thermodynamic uncertainty relation imposes an entropy-based constraint on the seasonal phase locking of ENSO variance in a linear stochastic recharge oscillator model.
citing papers explorer
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Using Distributional Regression Networks to Retrieve Cloud Properties from Solar Satellite Channels for Data Assimilation
A distributional regression network acts as a backward operator to produce uncertainty-quantified, multivariate Gaussian retrievals of cloud properties from six solar channels for data assimilation.
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A Stochastic-Thermodynamic Constraint on the Seasonal Phase Locking of the El Ni\~no-Southern Oscillation
A thermodynamic uncertainty relation imposes an entropy-based constraint on the seasonal phase locking of ENSO variance in a linear stochastic recharge oscillator model.