Chibuike Ibebuchi

Assistant Professor Morgan State University I Journal Editor @ Theoretical And Applied Climatology I Discover Atmosphere

[Yoruba Osu @sandyhotti]

@grok @ruffydfire So which elections did the ADC participate in ?

[Chibuike Ibebuchi @CCIbebuchi]

Excited to share Canopy Justice Ranger, an educational Android game I built on disaster risk management, nature-based solutions, and environmental justice. Plant trees, reduce heat/energy burden, and make equity-centered decisions under budget limits. https://t.co/WmE6hXbMtc

[World @World_mdpi]

#Callforreading
📖Threefold Environmental Inequality: Canopy Cover, Deprivation, and #CancerRisk Burdens Across Baltimore Neighborhoods
✍ Chibuike Chiedozie Ibebuchi, Itohan-Osa Abu
🏘️@MorganStateU @Uni_WUE
👉https://t.co/bnEDbUvTfs
#Baltimore #treecanopy #environmentalhealth

[Atmosphere MDPI @Atmosphere_MDPI]

Welcome to read the publication of #Atmosphere "On the Relationship between #Circulation_Patterns, the Southern Annular #Mode, and #Rainfall_Variability in Western #Cape"
More information: https://t.co/plTIx7gzlJ

[Atmosphere MDPI @Atmosphere_MDPI]

👍👍👍Editor's Choice Paper of #Atmosphere
"On the Relationship between #Circulation_Patterns, the Southern Annular Mode, and #Rainfall_Variability in Western Cape" by Mr. Chibuike Chiedozie Ibebuchi et al.
Read it for free:https://t.co/plTIx6YXX9

[Chibuike Ibebuchi @CCIbebuchi]

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

[Forecasting MDPI @forecast_MDPI]

📢New Publication in #Forecasting
📖 Day-Ahead Energy #Price #Forecasting with #Machine #Learning: Role of #Endogenous #Predictors
✍️by Chibuike Chiedozie Ibebuchi

https://t.co/N5joqVxFTY

[Chibuike Ibebuchi @CCIbebuchi]

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

[Chibuike Ibebuchi @CCIbebuchi]

Recent Trends in Extreme Temperature Events Across the Contiguous United States - Ibebuchi - International Journal of Climatology - Wiley Online Library https://t.co/id5tlGXbek

[Chibuike Ibebuchi @CCIbebuchi]

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

[ClimRISE Lab | Kent State University @ClimRISElab]

Congrats to @CCIbebuchi and co-authors on being highlighted on the @NOAAClimate blog!
https://t.co/VYdxxmvl33

[ClimRISE Lab | Kent State University @ClimRISElab]

The latest research out of the ClimRISE Lab, looking at air masses and human mortality throughout the US. Authored by @ClimatoloGuy, @ageografia, @CCIbebuchi, @SynopticScott...
https://t.co/8tPCmtOCyi

[ClimRISE Lab | Kent State University @ClimRISElab]

Great job!!

[Machine Learning: Science and Technology @MLSTjournal]

Great new work by @CCIbebuchi and Itohan-Osa Abu @ClimRISElab @kentstategeog @KSU_CollegeofAS @Uni_WUE @eo_wuerzburg-'Interpolation of #environmental #data using #deeplearning and model inference'-https://t.co/LLt0UMXo08 #machinelearning #environment #climate #AI #bigdata #Earth

[Chibuike Ibebuchi @CCIbebuchi]

SST patterns in the tropical Pacific during the 2015/2016 ENSO event. Video created by @Itohan_Osa_

[Lourdes Menis @climatologa]

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.👇🏼

[George Dyke @GeorgeDyke]

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!

[ClimRISE Lab | Kent State University @ClimRISElab]

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

[Chibuike Ibebuchi @CCIbebuchi]

AI revolutionizing and pushing the boundaries of climate science.

#EGU2024 #AAG2024

[NOAA Climate.gov @NOAAClimate]

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. https://t.co/Rs0EHMw2tJ

[NOAA Climate.gov @NOAAClimate]

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. https://t.co/Rs0EHMw2tJ