ChronoWeather

Route Simulator
Analog Year Analysis
Ground Truth Analysis
Home Page

ChronoWeather: NASA-Powered Climate Analog Forecasting

ChronoWeather redefines long-range forecasting by blending AI and NASA’s 40-year satellite archive. It predicts future weather by identifying historical “climate twin years” using data from MERRA-2, GPM, MODIS, and SMAP.

Explore NASA Earthdata

Analog Year Visualization

Code block example

// Example query to NASA Giovanni API
const analogYear = findAnalogYear({
  location: "Boston, USA",
  date: "2025-04-15",
  variables: ["SST", "ENSO", "JetStream"],
});
console.log(`Closest analog year: ${analogYear}`);

LaTeX math tips (learn more) ( Confidence = \frac{\text{Matched Variables}}{\text{Total Variables}} \times 100 )

$$ P(weather_{future}) = f(analog_year, ENSO, SST, AO) $$

🔬 Core Features

Analog Year Finder — Uses AI and NASA Giovanni datasets to locate the best-matching historical climate year based on ENSO, sea surface temperature, and jet stream indices. Tech Stack: React.js, TailwindCSS, Base44 AI, NASA APIs. Novelty: Makes complex atmospheric pattern recognition accessible to everyone.

Live NASA Data Integration — Real-time connection with Giovanni, MERRA-2, GPM, and Worldview datasets for accurate climate reanalysis. Tech Stack: Node.js, REST APIs, Earthdata OAuth. Novelty: Democratizes 75+ petabytes of NASA data for practical use.

Route Weather Simulator — Generates minute-by-minute weather forecasts for events like marathons or travel routes. Tech Stack: React + Leaflet.js for mapping, Framer Motion for visualization. Novelty: Transforms climate science into personalized journey simulations.

AR Weather Replay — Overlays historical analog weather onto your camera view. Tech Stack: WebXR, AR.js, React Three Fiber. Novelty: Time-travel through weather using AR visualization.

🧠 How It Works

# Analog Year Algorithm (simplified)
data = get_nasa_data(location, date)
pattern = extract_climate_fingerprint(data)
analog = find_best_match(pattern, historical_records)
return analog

🛰 Tech Highlights

Frontend: React.js + TailwindCSS + Framer Motion
AI Layer: Claude (Anthropic) for analog matching and natural language summaries
APIs: Giovanni, Earthdata, Worldview, MODIS, MERRA-2
Backend Platform: Base44 for instant deployment and authentication

🌍 Vision Statement

By 2030, ChronoWeather aims to help 500 million users make smarter climate decisions — from farmers in India planning monsoons to global marathon organizers forecasting ideal event days.

“We’re not predicting weather — we’re democratizing NASA’s billion-dollar climate intelligence.”

📚 References Giovanni GES DISC NASA Worldview MERRA-2 Reanalysis Global Precipitation Measurement (GPM)