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Our Postdoctoral Scholar, Chibuike Ibebuchi, got some publicity for a recent article on the application of machine learning to understanding the NAO. Congrats! cpo.noaa.gov/machine-learni…

The Lab's Chibuike Ibebuchi chaired a pair of sessions on Synoptic Climatology at #AMS2024... linkedin.com/posts/chibuike…

Great new work by Chibuike Ibebuchi ClimRISE Lab | Kent State University KSU Arts & Sciences Kent State - 'Redefining the North Atlantic Oscillation index generation using autoencoder #neuralnetwork' - iopscience.iop.org/article/10.108… #machinelearning #climate #environment #climatechange #AI #bigdata

More Pub for Chibuike Ibebuchi...

#Climate CD: Deep learning with autoencoders and LSTM for ENSO forecasting link.springer.com/10.1007/s00382…

Come check out the kentstategeography colloquium this Friday, as Itohan-Osa Abu presents her analysis on Maui's devastating August 2023 wildfires...

A new study demonstrates an innovative approach combining two artificial intelligence methods to predict a key ENSO indicator up to a year and a half in advance. The method proved capable of predicting extreme ENSO events at about 85 percent accuracy. climate.gov/news-features/…

AI revolutionizing and pushing the boundaries of climate science. #EGU2024 #AAG2024

Un nuevo estudio demuestra un enfoque innovador que combina dos métodos de IA para #predecir el ENSO con un año y medio de antelacion. El método demostró ser capaz de predecir eventos extremos del #ENSO con un 85% de precisión.👇🏼

Interesting to see these examples of machine learning pulling more information out of the Earth observation #satellite data firehose - nice performance boosts seen in this study!

SST patterns in the tropical Pacific during the 2015/2016 ENSO event. Video created by Itohan-Osa

Great new work by Chibuike Ibebuchi and Itohan-Osa Abu ClimRISE Lab | Kent State University kentstategeography KSU Arts & Sciences Universität Würzburg #UniWürzburg Earth Observation - only eor-wuerzburg.bsky.social-'Interpolation of #environmental #data using #deeplearning and model inference'-iopscience.iop.org/article/10.108… #machinelearning #environment #climate #AI #bigdata #Earth

Great job!!

The latest research out of the ClimRISE Lab, looking at air masses and human mortality throughout the US. Authored by Cameron C. Lee, Ph.D., Alindomar, Chibuike Ibebuchi, Scott Sheridan... link.springer.com/article/10.100…

Congrats to Chibuike Ibebuchi and co-authors on being highlighted on the NOAA Climate.gov blog! cpo.noaa.gov/enhancing-enso…

Jet stream orientation on 15 Feb 2021 00:00, calculated with Python from ERA5 data.

Recent Trends in Extreme Temperature Events Across the Contiguous United States - Ibebuchi - International Journal of Climatology - Wiley Online Library rmets.onlinelibrary.wiley.com/doi/10.1002/jo…

Hourly wind speed at 250 mb to track the jet streams. Created in Python with ERA5 data

📢New Publication in #Forecasting 📖 Day-Ahead Energy #Price #Forecasting with #Machine #Learning: Role of #Endogenous #Predictors ✍️by Chibuike Chiedozie Ibebuchi mdpi.com/2571-9394/7/2/…

Very pleased to receive today the prestigious 2025 Springer Nature Editor of Distinction Award