ISOCLIME
DETECT. DEFLECT. PROTECT.
AI-powered microclimate analysis for your neighborhood. Identify heat stress, humidity risk, and get actionable solutions.
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DETECT. DEFLECT. PROTECT.
AI-powered microclimate analysis for your neighborhood. Identify heat stress, humidity risk, and get actionable solutions.
IsoClime monitors temperature and humidity across urban microclimates to help cities understand environmental conditions and improve urban planning and public health.
Research institutions, government agencies, and real estate developers can request detailed microclimate data, zone-specific reports, and collaboration opportunities through IsoClime. This information can support research, urban planning, construction decisions, and climate-responsive development.
We collaborate with public and private organisations on a range of initiatives:
A microclimate is a local set of atmospheric conditions that differ from the surrounding area. In cities like San Pedro Sula, factors like building density, pavement coverage, and lack of vegetation create distinct microclimates — some significantly hotter and more humid than natural surroundings.
Urban areas absorb and re-emit more solar radiation than rural areas due to dark surfaces (asphalt, rooftops). This "heat island" effect can raise local temperatures by 2–8°C. Zinc roofs and concrete surfaces are major contributors in tropical cities.
High humidity (above 70% RH) promotes mold growth, dust mites, and respiratory issues. In combination with heat, it elevates the "feels like" temperature dramatically — a condition called heat stress. Vulnerable populations (elderly, children, those with asthma) are disproportionately affected.
Planting shade trees reduces surface temperatures by up to 10°C. Green roofs cut indoor temperature by 3–5°C. Permeable pavements reduce flooding and lower ground-level heat. These approaches are proven to be 3× more cost-effective than mechanical cooling in tropical climates.
ISOCLIME combines sensor data (temperature, humidity, UV index) with resident survey responses to build a neighborhood-level risk map. Machine learning models trained on Central American climate data weight different factors — building materials, exposure, household vulnerability — to generate personalized recommendations rather than generic advice.
San Pedro Sula sits in the Sula Valley at ~75 m elevation. Average temperature: 28°C (high: 36°C). Annual rainfall: ~2,200 mm. The rainy season (May–November) brings high humidity that amplifies heat stress. Neighborhoods with high building density and minimal tree cover, like parts of Rivera Hernández and Chamelecón, record the highest urban heat island intensities.