Search Results

You are looking at 1 - 1 of 1 items for :

  • Algebraic map comparison x
  • Journal of the Atmospheric Sciences x
  • The 1st NOAA Workshop on Leveraging AI in the Exploitation of Satellite Earth Observations & Numerical Weather Prediction x
  • Refine by Access: Content accessible to me x
Clear All
Noah D. Brenowitz
,
Tom Beucler
,
Michael Pritchard
, and
Christopher S. Bretherton

climate change ( Schneider et al. 2017 ). Owing to advances in both computing and available datasets, machine learning (ML) is now a viable alternative for traditional parameterization. Viewed from the perspective of ML, parameterization is a straightforward regression problem. A parameterization maps a set of inputs, namely, atmospheric profiles of humidity and temperature, to some outputs, profiles of subgrid heating and moistening. Krasnopolsky et al. (2005) and Chevallier et al. (1998

Full access