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Module 02: The Fuel Tank – Ocean Heat Content | WF Tropics 101
Why do some tropical storms struggle to survive while others explode into high-end category cyclones in just 24 hours? Welcome to Module 02 of the WF: Tropics 101 course. In this lesson, we dive beneath the surface to explore the "fuel tank" of the tropics: Ocean Heat Content (OHC).

While most hobbyists only look at Sea Surface Temperatures (SST), professional forecasters know that what’s happening under the water is what truly determines a storm’s destiny. We will show you why the ocean's depth is the secret to predicting Rapid Intensification (RI) and how to identify "energy reservoirs" that can turn a standard disturbance into a catastrophic event.

In this module, you will learn:

Beyond the Surface: Why the 26.5°C threshold is only half the story and how "Self-Chilling" can kill a storm before it starts.

The Physics of the Fuel Tank: Understanding the 26°C Isotherm Depth and how to calculate the total energy available in kilojoules (kJ/cm²).

Identifying the Danger Zones: How to spot high-energy eddies and "warm pools" that allow for explosive growth.

The Synergy of Storms: How to overlay OHC maps with your MJO data to pinpoint exactly where a cyclone has the potential to reach peak intensity.

Take a look at the current Ocean Heat Content maps and identify where the "high-octane" fuel is sitting today.

Maps & Data Resources:

General Ocean Analysis

Sea Surface Temperatures & Anomalies: Tropical Tidbits Ocean Analysis

Daily Global SST Contours: NOAA OSPO Sea Surface Temperatures

Ocean Heat Content (OHC) & Isotherm Depth

Regional OHC Daily Updates: Brian McNoldy’s Tropical Maps (University of Miami)

Satellite OHC Suite (Global & Basin): NOAA OSPO Ocean Heat Content

Tropical Cyclone Heat Potential (TCHP) by Basin: NOAA AOML PhOD TCHP Maps

Depth of 26°C Isotherm Data: NOAA CoastWatch Ocean Products

MJO & Long Range Tools

MJO Phase Diagram Tracking: CPC/NOAA MJO Monitoring

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#HowToForecast #StormWatch #MJO (Madden-Julian Oscillation) #WeatherModels #SatelliteImagery #MeteorologyStudent #PredictingTheStorm #WeatherData #OceanHeatContent
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