Afedullah

🌊 Modeling Future Streamflow Variability Using Advanced Deep Learning under SSP Scenarios👇

Introduction

🚀 Building an AI Agent for CMIP6 Climate Projections (GeoAI + GEE + Colab)

Climate data analysis is evolving rapidly, but many workflows are still manual, repetitive, and time-consuming. Extracting CMIP6…

Enhancing Extreme Event Detection: A Multi-Scale Wavelet Analysis of Precipitation Dynamics

Accurately identifying extreme weather events requires moving beyond simple magnitude-based thresholds. In climate signals, the temporal…

Fine-Tuning HydroLSTM for Streamflow Prediction and Climate Scenario Projections Using Transfer…

Fine-tuning a pretrained HydroLSTM model provides an efficient and physically meaningful approach for streamflow prediction and future…

🌍 Mapping Urban Emissions Across Pakistan Using Google Earth Engine

I recently developed a geospatial workflow in Google Earth Engine (GEE) to analyze and rank major cities in Pakistan based on atmospheric…

Analyzing Rainfall Trends Using CHIRPS Data in Google Earth Engine & Python

🌍 Understanding Rainfall Trends for Climate Analysis

🚀 Built a Multi-AI Agent System for CMIP6 Climate Data Extraction (GeoAI + GEE + Colab)

Excited to share a multi-agent GeoAI system I recently developed that automates CMIP6 climate data extraction — turning a traditionally…

🚰 Mapping Pakistan’s Drainage Network using Google Earth Engine + MERIT Hydro

Excited to share a simple yet powerful geospatial workflow for extracting and visualizing Pakistan’s drainage system using Google Earth…

🌍 Climate Profile: Understanding Climate as a System, Not Variables

🌊 From Local to Global: The Evolution of AI Models in Hydrology

Hydrological modeling is rapidly evolving — and so are the tools we use.

While Gulf countries are rich in oil reserves, water has always been a scarce and precious resource.