dClimate (original) (raw)
Unlocking the Power of Climate Data for a Sustainable Future
dClimate is a decentralized climate data infrastructure network transforming the way climate tech applications are brought to life to power a resilient future.
dClimate is forging a new path in the world of climate technology, harnessing the power of our comprehensive climate data and robust infrastructure to create transformative solutions for a sustainable future. We're dedicated to empowering businesses, governments, and innovators to measure, monitor, and mitigate climate risk, bridging the gap between climate data and actionable insights.
We use open data tools and emerging technologies like AI and blockchain to address pressing climate issues, sparking innovation and driving verifiable climate action. Join us, as we shape a resilient and sustainable world for the future.
Interoperable Climate Data Infrastructure Uniting Climate Solutions
In the ever-evolving world of climate technology, seamless data exchange and collaboration are essential for driving impactful solutions. dClimate's interoperable climate data infrastructure is designed to break down barriers, fostering a cohesive ecosystem for climate data sharing and innovation.
Our advanced data infrastructure enables the efficient integration and management of climate data from multiple sources, ensuring accessibility and compatibility across various platforms and applications. By promoting data interoperability, we're bridging the gap between climate tech verticals and providing a solid foundation for the development of interconnected climate solutions.
Discover how dClimate's interoperable climate data infrastructure is unlocking new possibilities in climate action, fueling groundbreaking advancements, and accelerating the global transition to a sustainable and resilient future.
A Taste of Our Global Data Partner Network
Data Is Just the Base Layer
We turn this
"documentation": { "era5 precip": "https://apps.ecmwf.int/codes/grib/param-db?id=228", "era5 data documentation": "https://confluence.ecmwf.int/display/CKB/ERA5%3A+data+documentation", "era5 data access web": "https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=form", "era5 web api documentation": "https://confluence.ecmwf.int/display/WEBAPI", "arbol chain info": "Follow the hashes in the 'previous hash' field backward until you reach a 'previous hash' value of 'null' to read the entire history of this set. Alternatively, you can get the entire chain of hashes from the 'chain.json' file in this directory", "arbol clustering": "In all sets besides the root set, latitudes are compiled into zip or tar archives (code should be written to handle both cases) that contain each lat/lon in the latitude" }, "api documentation": { "description": "ERA5 is the fifth generation ECMWF reanalysis for the global climate and weather for the past 4 to 7 decades. Currently data is available from 1950. ERA5 provides hourly estimates for a large number of atmospheric, ocean-wave and land-surface quantities. Data has been regridded to a regular lat-lon grid of 0.25 degrees for the reanalysis and 0.5 degrees for the uncertainty estimate", "ERA5 info url": "https://confluence.ecmwf.int/display/CKB/ERA5%3A+data+documentation", "ERA5 original data url": "https://cds.climate.copernicus.eu/api/v2", "publisher": "Copernicus Climate Change Service (C3S)", "full date range": [ "1979-01-01 07:00:00", "2022-12-06 23:00:00" ] }, "unit of measurement": "m", "climate index": "total precipitation", "resolution": 0.25, "name": "era5_precip", "time generated": "2022-12-11 19:23:09.725027", "compression": "gzip", "missing value": "", "previous hash": "QmUWRzkr1msjYrgnAPxpL3Pz1ZwaWNSUFjsNPbhhNuhh9L", "entry delimiter": ",", "year delimiter": "\n", "filename decimal precision": 3, "precision digits": 3, "period": "hourly", "update frequency": "daily", "latitude range": [ -90.0, 90.0 ], "longitude range": [ 0.0, 359.9
Into This
Climate Products
On top of the first two layers, enterprises can go even deeper, and begin to use data, analytics, and models to build advanced financial infrastructure and products like parametric insurance and applications like dClimate’s WorkSight app for the construction industry.
Analytics & Forecasts
Analytics, forecasts, and advanced models enable businesses, communities, and governments to leverage raw, historical data to better understand what is likely to happen in the future so they can proactively plan, prepare, and build efficient and resilient operations.
Climate Data
The data layer refers to raw data on important climate variables such as rainfall, windspeed, carbon dioxide, soil moisture, and more. Standardized, ready for institutional use data is needed to build advanced tooling, products, and forecasts.
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