Exploring the relative importance of the MJO and ENSO to North Pacific subseasonal predictability
KJ Mayer, WE Chapman… - Geophysical Research …, 2024 - Wiley Online Library
Here we explore the relative contribution of the Madden‐Julian Oscillation (MJO) and El
Niño Southern Oscillation (ENSO) to midlatitude subseasonal predictive skill of upper …
Niño Southern Oscillation (ENSO) to midlatitude subseasonal predictive skill of upper …
Combining neural networks and CMIP6 simulations to learn windows of opportunity for skillful prediction of multiyear sea surface temperature variability
FV Davenport, EA Barnes… - Geophysical Research …, 2024 - Wiley Online Library
We use neural networks and large climate model ensembles to explore predictability of
internal variability in sea surface temperature (SST) anomalies on interannual (1–3 years) …
internal variability in sea surface temperature (SST) anomalies on interannual (1–3 years) …
Changes in United States summer temperatures revealed by explainable neural networks
To better understand the regional changes in summertime temperatures across the
conterminous United States (CONUS), we adopt a recently developed machine learning …
conterminous United States (CONUS), we adopt a recently developed machine learning …
Exploring the Relative Contribution of the MJO and ENSO to Midlatitude Subseasonal Predictability
KJ Mayer, WE Chapman, WA Manriquez - Authorea Preprints, 2024 - essopenarchive.org
Here we explore the relative contribution of the Madden-Julian Oscillation (MJO) and El
Niño Southern Oscillation (ENSO) to midlatitude subseasonal predictive skill of upper …
Niño Southern Oscillation (ENSO) to midlatitude subseasonal predictive skill of upper …