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Journal of Advances in Modeling Earth Systems (JAMES)

Graphs showing the vertical profiles of the error in shortwave downwelling flux, upwelling flux, and heating rates computed from fluxes.
Posted inEditors' Highlights

Machine Learning Emulation of Atmospheric Radiative Transfer

by Jiwen Fan 2 August 202227 July 2022

Using machine learning to represent sub-grid processes in weather and climate models holds promise, but also faces challenges. Incorporating physical knowledge can help.

Two Paluch diagrams, one showing a large-eddy simulation and one showing the new machine learning model.
Posted inEditors' Highlights

Modeling Entrainment with Machine Learning

by Jiwen Fan 27 July 202221 July 2022

Researchers present a new approach to modeling the stochastic mixing process of convection using a machine learning technique.

Photograph of a raincloud over an ocean.
Posted inEditors' Highlights

More Accurately Modeling Rain Formation

by Tapio Schneider 14 July 202213 July 2022

Rain and cloud droplets are treated as distinct categories in most models yet lie on a continuous droplet size spectrum in nature. Representing them as part of a continuous spectrum improves models.

Diagram showing the three barriers in seasonal forecast and the Conditional Generative Forecasting methodology developed to tackle these three barriers.
Posted inEditors' Highlights

Learning from Climate Simulations for Global Seasonal Forecast

by Jiwen Fan 23 June 202222 June 2022

A probabilistic deep learning methodology that learns from climate simulation big data offers advantageous seasonal forecasting skill and crucial climate model diagnosis information at a global scale.

Maps of time-mean precipitation pattern error for 40-day simulations with three configurations of a global atmospheric model with a coarse 200-km grid.
Posted inEditors' Highlights

Corrective Machine Learning for Improving Climate Models

by Jiwen Fan 15 March 202215 March 2022

A machine-learned correction enables an efficient coarse-grid global atmosphere model to better track the weather and time-mean precipitation of an expensive fine-grid ‘digital twin’ reference model.

Hurricane Irma battering Saint Martin in the Caribbean.
Posted inResearch Spotlights

The AI Forecaster: Machine Learning Takes On Weather Prediction

by Aaron Sidder 6 January 202226 April 2022

A novel approach to weather forecasting uses convolutional neural networks to generate exceptionally fast global forecasts based on past weather data.

Series of charts from the paper by Feng et al.
Posted inEditors' Highlights

A New Way to Represent Microphysical Uncertainty

by Jiwen Fan 2 November 20211 November 2021

A new way of representing microphysical uncertainty in convective-scale data assimilation reduces biases in model states and improves the accuracy of short-term precipitation forecasts.

Set of four maps showing condensed water path, frozen moist static energy anomaly, longwave heating anomaly, and shortwave heating anomaly from the 300 K sea surface temperature simulation at day 100.
Posted inEditors' Highlights

Importance of High Clouds and Moisture in Rainstorm Aggregation

by Jiwen Fan 21 October 202115 October 2021

A study of the impacts of radiative interactions with different cloud types on aggregation of rainstorms finds that interactions with high-clouds and water vapor are key.

Two graphs showing monthly mean multi-model mean shortwave flux biases over ocean and land.
Posted inEditors' Highlights

AeroCom Models Improved with Aerosol and Albedo Constraints

by Jiwen Fan 20 October 202115 October 2021

Satellite data has been used to correct the aerosol loading and land surface albedo in several AeroCom models, which has improved shortwave flux biases between models and observations.

Plots showing the precipitation errors using the new error metric as a function of absolute errors.
Posted inEditors' Highlights

Uncovering Hidden Errors in Simulated Precipitation

by Jiwen Fan 18 October 202115 October 2021

New metrics used to quantify errors in precipitation show that convection permitting simulations outperform coarser resolution simulations.

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