Open data
|
Deployed on AWS
This is a cloud-hosted subset of the CAM6+DART (Community Atmosphere Model version 6 Data Assimilation Research Testbed) Reanalysis dataset. These data products are designed to facilitate a broad variety of research using the NCAR CESM 2.1 (National Center for Atmospheric Research's Community Earth System Model version 2.1), including model evaluation, ensemble hindcasting, data assimilation experiments, and sensitivity studies. They come from an 80 member ensemble reanalysis of the global troposphere and stratosphere using DART and CAM6. The data products represent states of the atmosphere consistent with observations from 2011 through 2019 at 1 degree horizontal resolution and weekly frequency. Each ensemble member is an equally likely description of the atmosphere, and is also consistent with dynamics and physics of CAM6. The dataset also contains corresponding land surface values at 6-hourly frequency. This dataset is a reformatting, with no change to numerical values, of dat[...]
Overview
This is a cloud-hosted subset of the CAM6+DART (Community Atmosphere Model version 6 Data Assimilation Research Testbed) Reanalysis dataset. These data products are designed to facilitate a broad variety of research using the NCAR CESM 2.1 (National Center for Atmospheric Research's Community Earth System Model version 2.1), including model evaluation, ensemble hindcasting, data assimilation experiments, and sensitivity studies. They come from an 80 member ensemble reanalysis of the global troposphere and stratosphere using DART and CAM6. The data products represent states of the atmosphere consistent with observations from 2011 through 2019 at 1 degree horizontal resolution and weekly frequency. Each ensemble member is an equally likely description of the atmosphere, and is also consistent with dynamics and physics of CAM6. The dataset also contains corresponding land surface values at 6-hourly frequency. This dataset is a reformatting, with no change to numerical values, of data from the "CAM6 Data Assimilation Research Testbed (DART) Reanalysis", DOI:10.5065/JG1E-8525 .
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
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.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Project data files
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::ncar-dart-cam6
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://ncar-dart-cam6/
Resources
Vendor resources
Support
Contact
Managed By
How to cite
CAM6 Data Assimilation Research Testbed (DART) Reanalysis: Cloud-Optimized Dataset was accessed on DATE from https://registry.opendata.aws/ncar-dart-cam6 .
Similar products
CloudSphere makes digital transformations easy. Through our Cyber Asset Management (CAM) platform, we empower our AWS users to Migrate, Optimize and Modernize their IT estates quickly, cost effectively and with minimal interruption to their business.
AI-powered system condenses DashCam footage into brief videos for streamlined accident insurance claims processing.
Automate digital asset workflows with K-CAMS. Scale content ops and streamline creative collaboration on a serverless AWS-native architecture.
![SiPeCaM (Sitios Permanentes de la Calibración y Monitoreo de la Bio[...]](https://d1ewbp317vsrbd.cloudfront.net/44135566-b4ba-454d-a48a-15a756eb906a.png)
The SiPeCaM goal is to create a data source that allows to evaluate changes in the biodiversity state, considering key aspect of how does the ecosystem behaves.