Editing Climate Modelling (section)

== <span style="color: #FFFFFF;">Applying</span> ==
'''Modeling 'The Local Impact' (Predicting 'Rainfall' change for a city):'''
<syntaxhighlight lang="python">
def predict_local_climate(city_lat, city_lon, current_rain, scenario):
    """
    Shows how 'Scenarios' change 'Local Reality'.
    """
    if scenario == "RCP 2.6":
        change = -0.05 # 5% decrease
    elif scenario == "RCP 8.5":
        change = -0.30 # 30% decrease (Severe Drought)
    else:
        change = 0.0
        
    future_rain = current_rain * (1 + change)
    return f"SCENARIO {scenario} | FUTURE RAINFALL: {round(future_rain)}mm (Change: {change*100}%)."

# Case: San Francisco (approx 400mm rain)
print(predict_local_climate(37.7, -122.4, 400, "RCP 8.5"))
</syntaxhighlight>

; Modelling Landmarks
: '''The 'Earth Simulator' (Japan)''' → At one time the "World's Fastest Computer," built "Just" to run a "High-Resolution" climate model.
: '''Tipping Points''' → Models are now searching for the "Point of No Return": when "Thawing Permafrost" or "Collapsing Ice Sheets" happen "Automatically" regardless of what humans do.
: '''Attribution Science''' → A new field: using models to "Prove" that a "Specific Storm" (like 'Hurricane Harvey') was "Worse" because of "Global Warming."
: '''Cloud Feedback''' → The "Hardest Part" of modelling. Do clouds "Cool the Earth" (reflecting sun) or "Warm it" (trapping heat)? The answer "Changes everything."
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