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About Climformatics Inc
Climformatics Inc is a climate prediction company that leverages advanced data science, machine learning, and earth system modeling to deliver accurate, actionable climate forecasts. Our mission is to Go to full description...
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Email address:
subarna@climformatics.com
Climformatics Inc is a climate prediction company that leverages advanced data science, machine learning, and earth system modeling to deliver accurate, actionable climate forecasts. Our mission is to help businesses, governments, and communities anticipate climate risks, adapt to future conditions, and make data-informed decisions in the face of a changing planet.
By combining satellite data, historical records, and predictive algorithms, we provide long-range forecasts, sector-specific insights, and climate risk assessments tailored to industries such as agriculture, energy, infrastructure, finance, and insurance.
Services:
Climate Prediction & Forecasting, Long-Term Weather Prediction, Seasonal Climate Outlooks, Environmental Forecasting & Modeling, Climate Risk Modeling & Assessment, Predictive Climate Analytics, Climate Intelligence Solutions, Earth System & Atmospheric Modeling, Weather & Climate Simulations, Data Assimilation & Climate Analysis, Meteorological Data Collection & Processing, Remote Sensing & Satellite Data Analysis, Machine Learning for Climate Prediction, AI-Driven Climate Modeling, Environmental Data Science Solutions, ESG Analytics & Reporting, Climate-Informed Decision Support, Climate Adaptation & Resilience Planning, Infrastructure & Supply Chain Risk Forecasting, Energy Demand Forecasting (climate-driven), Agricultural & Crop Planning (climate-informed), Insurance & Financial Risk Modeling (climate-based), Water Resource & Drought Management
Specialties:
Climate prediction, Climate forecasting, Weather modeling, Climate analytics, Climate intelligence, Environmental forecasting, Climate risk modeling, Long-term weather prediction, Seasonal climate outlook, Predictive climate analytics, Climate models, Earth system modeling, Atmospheric science, Meteorological data, Remote sensing, Climate simulations, Data assimilation, Machine learning for climate, AI-driven climate modeling, Environmental data science, Climate risk assessment, Climate adaptation planning, ESG analytics, Climate-informed decision-making, Infrastructure risk forecasting, Energy demand forecasting, Agricultural planning, Water resource management, Supply chain climate risk, Insurance risk modeling
Year Established: 2024