Signed in as:
filler@godaddy.com
Signed in as:
filler@godaddy.com
Climate research still spends too much budget and calendar time on data engineering: negotiating access to separate portals, reconciling schemas, and stitching together emissions inventories, satellite-derived estimates, and ground-based air quality so they line up in space and time. That overhead delays papers, weakens reproducibility, and makes it harder for students and labs—especially outside the largest institutions—to work with the same evidence base as global partners.
Jana is built for that workflow gap. One API delivers harmonized access to Climate TRACE (facility- and asset-level greenhouse gas estimates with uncertainty), OpenAQ (real-time and historical measurements from tens of thousands of monitoring locations), and EDGAR (multi-decade gridded and national-scale atmospheric emissions from the European Commission JRC). You can focus on hypotheses, methods, and interpretation instead of maintaining brittle ingest pipelines for each source.
Because the platform is designed around spatial and temporal alignment, you can ask questions that single-source datasets struggle to support alone—for example, how emissions activity co-evolves with what people actually breathe nearby, or how independent top-down estimates compare to inventory-style baselines over long horizons. Jana supports serious quantitative work (including Python / Jupyter-friendly access) and academic pricing, reflecting our focus on universities and research institutions alongside commercial users.
Looking ahead: We evaluate additions such as regional and national open-data layers, land-cover / forest-change products, and physical-climate context where they clearly extend the core API—priorities follow partner and customer demand, not a fixed schedule. Tell us your region and research questions at info@jana.earth; see the roadmap page for the fuller picture.
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