scientifically validated data products

PCA's exclusive license from Princeton University allows us to productize the cutting-edge research built with our science team in Princeton's Terrestrial Hydrology Research Group
platform
products

our products

MSWEP Historical

Precipitation

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The Multi-Source Weighted-Ensemble Precipitation (MSWEP) is a new fully global (includes oceans) historic precipitation dataset (1979–2017) with a 3‑hourly temporal and 0.1° spatial resolution, peer reviewed as the most accurate global, gridded precipitation dataset. MSWEP Historical is now available for purchase online on our website. If you are affiliated with a credited university, you may request research access with the button above.

MSWEP NRT & 7-Day Forecast

low latency data

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MSWEP-NRT is the near real-time (NRT) variant of the historic Multi-Source Weighted-Ensemble Precipitation (MSWEP) dataset. The product provides precipitation estimates (3‑hourly temporal and 0.1° spatial resolution) for the entire globe using a novel algorithm that optimally merges precipitation estimates from a broad range of data sources. This variant also includes a forward-looking 7 day forecast. MSWEP NRT & 7-Day Forecast is given paid commercial access on a case by case basis. Reach out to our team to find out more.

Hi-Res National and Regional Climate Monitors

Tailored Analytics

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Our high resolution climate data analytics platform is deployed on a state-of-the-art cloud data center and optimized locally, either at the country or regional level. The platform is continuously enhanced and consistent across time and geography, visualizing high-resolution historical, near-real-time (NRT), and forecast data, models, indices, etc. Reach out to our team to find out how we can partner with your government, hydromet agency, or intergovernmental organization.

Flood History Index

Seasonal Drought Forecast Index

one to six months

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Sub-seasonal to seasonal weather and hydrological forecasts have the potential to provide vital information for a variety of water-related decision makers. By combining models through optimal weights, our multi-model forecast skill is significantly improved compared to a 'standard' equally weighted multi-model forecast mean. We show that optimal model weights are robust and the forecast skill is maintained for increased length of time and regions with a low initial forecast skill show significant skill after optimal weighting of the individual model forecast. https://iopscience.iop.org/article/10.1088/1748-9326/11/9/094007/meta

Insurance-Linked Securities Valuation

Flood Early Warning System

Gov + IGO & insurTech

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Gov + IGO & insurTech

Precision Soil Health & Monitoring

agTech & finTech

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agTech & finTech

PCA Custom Data Solutions

All industries

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Our team has built intuitive, user-friendly software and systems serviceable via a robust set of APIs, allowing all industries to seamlessly enhance their data models and analysis. Reach out to our team to find out how we can help your organization.

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