Sold by: DTN, LLC
Deployed on AWS
The Skywise CONUS dataset is a high-resolution (1km), hourly updating gridded meteorological surface analysis. The data are available for a rolling 365 days with the several variables.
Overview
The Skywise CONUS dataset is a high-resolution (1km), hourly updating gridded meteorological surface analysis. The data are available for a rolling 365 days with the following variables: • 2 meter air temperature (Kelvin) • 2 meter dew point temperature (Kelvin) • Mean sea level pressure (Pascals) • 10 meter u-component (east/west) wind (meters per second) • 10 meter v-component (north/south) wind (meters per second) • 80 meter u-component (east/west) wind (meters per second) • 80 meter v-component (north/south) wind (meters per second) • Total cloud cover (percent) • Visibility (meters) • 1hr accumulated precipitation (millimeters) • 1hr incoming solar radiation (Watts per square meter)
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/12 months |
|---|---|
ProductAccess | $24,000.00 |
Dimensions summary
This listing uses a single contract-based pricing dimension. You buy access under one negotiated agreement rather than choosing among tiers, instance sizes, or usage add-ons. Pricing is set by contract terms, so there are no separate scaling levels shown in the table. You commit to the terms of the agreement, and the quantity is defined within that contract. To confirm the specific units, term length, and any volume rules that apply to your use, contact the vendor directly.
Top-of-mind questions for buyers
It provides gridded surface weather analysis data covering meteorological parameters such as temperature, humidity, pressure, wind, precipitation, and visibility across a mapped area. The data supports operational decisions, site-specific planning, and forecast validation. You receive access to this dataset under your negotiated contract.
The data is delivered through pre-built integrations designed for connection into your existing workflows with minimal development. This lets you pull the dataset directly into the systems you already use, reducing manual data entry. The specific delivery method for your setup is defined in your contract.
This listing uses one contract-based dimension, so you pay under a single negotiated agreement rather than metered usage. There are no tiers or usage add-ons shown in the table that would change your cost automatically. To confirm the units and any volume rules, contact the vendor.
www.dtn.com+1
Helpful?
Vendor refund policy
The product is provides as is. There are known gaps where background processing was unavailable.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
gridded meteorological surface analysis | All historical revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
Similar products
GEOS-Chem High Performance (GCHP) enables massively parallel simulations of atmospheric composition on global scales. It can be used offline as a 3D chemical transport model driven by assimilated meteorological observations from the Goddard Earth Observing System (GEOS) of the NASA Global Modeling and Assimilation Office (GMAO). Operating on a native cubed-sphere grid via the Earth System Modeling Framework (ESMF), GCHP utilizes a distributed-memory architecture (MPI) to scale efficiently across multiple compute nodes, making ultra-high-resolution atmospheric chemistry modeling routinely feasible.
![Satellite - Sea surface temperature - Level 4 - Multi sensor - Glob[...]](https://d1ewbp317vsrbd.cloudfront.net/cb79191a-6e09-4816-aee4-6961ce1d2b70.png)
An International Group for High-Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis, produced daily on an operational basis at the Australian Bureau of Meteorology using optimal interpolation (OI) on a global 0.25 degree grid. This Global Australian Multi-Sensor SST Analysis (GAMSSA) v1.0 system blends infra-red SST observations from the Advanced Very High Resolution Radiometer (AVHRR) on NOAA and METOP polar-orbiting satellites, microwave SST observations from the Advanced Microwave Scanning Radiometer-2 (AMSR-2) on GCOM-W, and in situ data from ships, and drifting and moored buoys from the Global Telecommunications System (GTS).
All SST observations are filtered for those values suspected to be affected by diurnal warming by excluding cases which have experienced recent surface wind speeds of below 6 m/s during the day and less than 2 m/s during the night, thereby resulting in daily foundation SST estimates that are largely free of diurnal wa[...]
![Sea Surface Temperature Daily Analysis: European Space Agency Clima[...]](https://d1ewbp317vsrbd.cloudfront.net/9b8f6e28-4f42-4f06-aaad-42627d32f051.png)
Global daily-mean sea surface temperatures, presented on a 0.05° latitude-longitude grid, with gaps between available daily observations filled by statistical means, spanning late 1981 to recent time. Suitable for large-scale oceanographic meteorological and climatological applications, such as evaluating or constraining environmental models or case-studies of marine heat wave events. Includes temperature uncertainty information and auxiliary information about land-sea fraction and sea-ice coverage. For reference and citation see: www.nature.com/articles/s41597-019-0236-x.
![Satellite - Sea surface temperature - Level 4 - Multi sensor - Regi[...]](https://d1ewbp317vsrbd.cloudfront.net/c44d1205-d62a-414f-a527-d797d5fd28de.png)
An International Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis, produced daily on an operational basis at the Australian Bureau of Meteorology using optimal interpolation (OI) on a regional 1/12 degree grid over the Australian region (20N - 70S, 60E - 170W). This Regional Australian Multi-Sensor SST Analysis (RAMSSA) v1.0 system blends infra-red SST observations from the Advanced Very High Resolution Radiometer (AVHRR) on NOAA and METOP polar-orbiting satellites, microwave SST observations from the Advanced Microwave Scanning Radiometer-2 (AMSR-2) on GCOM-W, and in situ data from ships, and drifting and moored buoys from the Global Telecommunications System (GTS).
All SST observations are filtered for those values suspected to be affected by diurnal warming by excluding cases which have experienced recent surface wind speeds of below 6 m/s during the day and less than 2 m/s during the night, thereby resulting in daily founda[...]