Predict First, Then Protect

Iraq's Platform for Forecasting Floods and Drought.

Climate Intelligence for Iraq's Farmlands. We develop intelligent solutions for predicting drought, rainfall, and flood seasons.

Products Services
2030Long-term forecast horizon
BaghdadCurrent coverage
3Drought · Rainfall · Flood
ComputiqPowered by
About Us

Pioneering Climate Intelligence in Iraq

ENLIL AI is Iraq's first platform dedicated to advanced drought and flood forecasting using neural network models.

🌱 Our Mission

Protecting Iraq's Future

Our mission is to provide farmers, government agencies, and environmental organizations with the data they need to build resilience against climate change.

The Core Problem

Iraq is one of the most vulnerable countries to climate change. Traditional forecasting methods often lack the precision needed for local agricultural planning.

🧠

AI-Driven

Using RMSN and DMSN models for high-accuracy precipitation indexing.

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Localized Data

Trained on 35+ years of historical data from Iraqi meteorological stations.

🛡️

Actionable Insights

Converting complex climate data into practical recommendations for farmers.

Research Partner

We collaborate with local environmental engineers to ensure our models reflect the unique hydrological challenges of the Tigris and Euphrates basins.

Our Services

Strategic Climate Services

We offer a range of services designed to help the agricultural sector adapt to Iraq's changing climate patterns.

01
📈

Drought Prediction Reports

Monthly and seasonal forecasts using SPI (Standardized Precipitation Index) to identify upcoming drought risks.

02
🌊

Flood Risk Assessment

Predicting extreme rainfall events that could lead to flash floods, allowing for better water storage management.

03
🛰️
Coming Soon

Satellite Soil Monitoring

Integrating satellite imagery to monitor soil moisture levels in real-time across different Iraqi provinces.

04
📱
Coming Soon

Farmer Alert System

An SMS and app-based alert system providing localized weather and climate warnings directly to farmers.

Custom Engineering Consultations

We provide specialized consultations for large-scale agricultural projects and water management authorities.

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Water treatment system design and optimization.

🏗️

Environmental impact assessments for rural development.

Products

Smart & Sustainable Agriculture Solutions

We support smart and sustainable agriculture solutions that reduce water consumption and improve agricultural productivity in Iraq's challenging climate.

Our Products

Built for Iraq's Climate

Smart Vertical Farming
PRODUCT 01
Available

Smart Vertical Farming from Recycled Plastic

Smart Vertical Farming Systems made from recycled plastic — designed to maximize yield while minimizing water usage in drought-affected areas.

  • Vertical farming system designs
  • Training workshops on plastic recycling using 3D printing
  • Education for farmers on how to build these systems themselves
  • Water consumption reduction solutions
  • Increased productivity in drought-affected areas
Solar Distillation
PRODUCT 02
Available

Solar Distillation Water-Treatment Systems

Designed for dry regions relying on salty groundwater wells — converting unusable water into clean irrigation water using solar energy.

  • Solar distillation system designs for water treatment
  • Converting salty groundwater into usable irrigation water
  • Training users on operating and managing these systems
  • Workshops for building integrated water treatment systems
  • Engineering consultation for water management and agriculture
Why It Matters

Addressing Iraq's Water & Food Security Crisis

Iraq faces increasing drought frequency, saline groundwater, and reduced agricultural productivity. Our products are engineered specifically for these conditions — practical, affordable, and deployable without advanced infrastructure.

💧

Water Efficiency

Dramatically reduced irrigation consumption

♻️

Circular Economy

Plastic waste repurposed into productive assets

☀️

Solar-Powered

Off-grid solutions for rural Iraq

Articles

Climate & Environment Articles

A dedicated space for climate, environmental, and water-security content focused on Iraq.

Water SecurityEnvironmental HealthJuly 7, 2025

The Risk of PFAS in Iraq's Groundwater Amid Drought: Insights from Asia-Pacific Experiences

Because of the ongoing drought, many people in Iraq have no choice but to consume groundwater without realizing the potential risks of PFAS contamination — often called 'forever chemicals'.

LA
Laith AlobaidyEnvironmental Engineer
Read article →
DroughtWater QualityJune 11, 2025

The Silent Link Between Drought and Contaminated Water

When we think of drought, we imagine dry land and vanishing streams. But there's a hidden danger: water quality. Drought doesn't just mean less water — it means dirtier, riskier water too.

LA
Laith AlobaidyEnvironmental Engineer
Read article →

Topics

#PFAS#WaterSecurity#Drought#Iraq#ClimateResilience#Environment

About the Author

LA
Laith Alobaidy
Environmental Engineer

Specialist in water security, PFAS contamination, and environmental engineering focused on Iraq's climate challenges.

💧 Drought & Flood Prediction Dashboard ☀️

Baghdad Station — Standardized Precipitation Index (SPI)

🧠 RMSN & DMSN Models⏰ 1985–2021 | 2022–2030📍 Baghdad Meteorological Station
📈 Latest Predictions per Index
📅

Interactive Prediction Selector

Select options to view prediction

📉

Future Prediction Timeline

Timeline
📅

Heatmap Calendar

Heatmap
🗂️

Interactive Heatmap

SPI-3
📊

Classification Distribution

Distribution
📊

Interactive Distribution

👁️

Historical vs Predictions

Historical
📈

Model Performance

Performance
📋

Detailed Performance Values

RMSNDMSN
SPIRRMSEMAERRMSEMAE

R (Correlation): closer to 1 is better

RMSE / MAE: smaller is better

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Comprehensive Analysis

⚡ Key Findings

  • RMSN achieved correlation coefficients up to 1.0 for SPI-6, SPI-9, and SPI-12 — outstanding performance.
  • For SPI-3, RMSN achieved R=0.7881 with RMSE=0.6669, reflecting good short-term variability capture.
  • DMSN was most effective for SPI-12 (R=0.7684), indicating suitability for long-term patterns.

⚠️ Drought Risk Assessment

  • Forecasts indicate continued moderate-to-severe drought patterns during summer months (June–September).
  • The 2024–2027 period may experience sharper SPI-3 variability, requiring proactive planning.
  • Winter months (December–February) show positive SPI values in most forecasts.

🛡️ Recommendations

  • Use RMSN as the primary forecast model, with DMSN as a reference for long-term indices.
  • Develop contingency plans for anticipated severe drought periods during summer months.
  • Integrate these forecasts with existing early warning systems at the Iraqi Meteorological Authority.
1

What is SPI?

Standardized Precipitation Index. Negative = drought, positive = wet, near-zero = normal.

2

Reading the Colors

Green = normal, orange = moderate drought, red = severe drought, blue = wet conditions.

3

RMSN vs DMSN

RMSN: more accurate overall — use as primary. DMSN: better for SPI-12 long-term patterns.

💾

Data Source & Methodology

📍 Data Source

  • ● Baghdad Meteorological Station
  • ● Monthly rainfall data
  • ● 1985–2021 historical | 2022–2030 forecast

🧠 RMSN

Stacked Recurrent Neural Network. Uses multiple recurrent layers to capture temporal patterns in rainfall data.

🧱 DMSN

Stacked Dilated Neural Network. Uses dilated convolutions to capture long-term climate patterns effectively.

Drought & Flood Prediction Dashboard — Baghdad Station | ENLIL AI