edu.ucar.opensky::articles:43327 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-07-10T19:53:27.066615 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.net/ark:/85065/d7dz0dqw https://doi.org/10.5065/BH6N-5N20 https Related Dataset #1 ERA5 Reanalysis (0.25 Degree Latitude-Longitude Grid) https://doi.org/10.5281/zenodo.11373729 https Related Software #1 WillyChap/CESM: Ftorch Enabled Release Improving climate bias and variability via CNN‐based state‐dependent model‐error corrections 2025-03-28T00:00:00Z publication https://n2t.net/ark:/85065/d7dz0dqw https://doi.org/10.1029/2024GL114106 Chapman, William author Berner, Judith author UCAR/NCAR - Library publisher We develop an approach to correct biases in the atmospheric component of the Community Earth System Model using convolutional neural networks (CNNs) to create a corrective model parameterization for online bias reduction. By predicting systematic nudging increments derived from nudging toward the ERA5&#8208;reanalysis, our method dynamically adjusts the model state, outperforming traditional corrections based on climatological increments alone. Our results show significant root mean squared error improvements across all state variables, with land precipitation biases reduced by 25%&#8211;35%, seasonally dependent. Notably, we observe an improvement to the Madden&#8208;Julian Oscillation (MJO), where the CNN&#8208;corrected model successfully propagates the MJO across the maritime continent, a challenge for many current climate models. This advancement underscores the potential of using CNNs for real&#8208;time model correction, providing a robust framework for improving climate simulations. This advancement highlights the potential of CNNs for real&#8208;time model correction, improving climate simulations and bridging observed and simulated dynamics. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication <span style="font-family:Arial;font-size:10pt;font-style:normal;" data-sheets-root="1">Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</span> None eng geoscientificInformation