Climate Data Analysis

Climate Data Science & Modeling

This tutorial is a guide to understanding and utilizing climate data through advanced computational methods, whether you're an experienced scientist seeking to enhance your data analysis prowess with Python's capabilities or a curious student eager to learn about climate science. We're here to help you grasp the complexities of climate change and contribute to a sustainable future using data-driven approaches. Everyone is welcome to join this inclusive community of learners and contributors, regardless of your background or level of expertise. Let's start this exciting learning journey together and grow in our scientific explorations. This project was led by Dr. Fahad.

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01 Python

02 Climate Data

03 Analysis and Methods

04 GIS And Remote Sensing

Machine Learning Projects

Project 1

Predicting ENSO with Machine Learning

Climate Modeling Tutorial

Contributor Information

Contributor 1

Dr. Abdullah Al Fahad

Project Lead



Contributor 2

Tahmidul Azom Sany

George Mason University, VA, USA


Contributor 3

Nazimur Rashid Chowdhury

Earth System Physics, The Abdus Salam ICTP, Trieste, Italy


Contributor 4

Md. Tashin Ahammad

Dept. of Physics, SUST, Sylhet-3114


Contributor 5

Torikul Islam Sanjid

Dept. of Physics, SUST, Sylhet-3114


Contributor 6

Rifat Rahman Bhuiyan

Dept. of Physics, SUST, Sylhet-3114


Contributor 7

Shammunul Islam

AOES, George Mason University, VA, USA


Contributor 8

Md Aminul Haque Laskor

Dept. of Geography, SUST, Sylhet-3114


Contributor 9

Saiful Islam Apu

Department of Geology, The University of Kansas, Lawrence, KS, 66045


Contributor 10

Noshin Sharmili

Geosciences, Pennsylvania State University, PA, USA