
Overview
This dataset provides several global fields describing the state of atmosphere, ocean, land and ice from a high-resolution (0.1o for the ocean/ice models 0.25o for the land/atmosphere models) numerical earth system model, the Community Earth System Model (CESM, https://www.cesm.ucar.edu/ ). Texas A&M University (TAMU) and National Center for Atmospheric Research together with international partners collaboratively carried out a large set of high-resolution climate simulations, including a 500-year long preindustrial control simulation (PI-CTRL) described here. The CESM uses dynamic equations with a climatological (observations, long-term averaged) initial state of the earth system and the preindustrial greenhouse gas forcing (kept constant at the 1850 conditions) for making this PI-CTRL. Compared to standard low-resolution (1o) CMIP-class simulations, this high-resolution simulation dataset enables researchers to explore the contribution from processes at a wide range of spatial scales, from mesoscales to global scales, in shaping various observed climate phenomena with better accuracy.
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This is a publicly available data set. No subscription is required.
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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
- CESM-HR PI-CTRL data
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::cesm-hr-pi-ctrl
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://cesm-hr-pi-ctrl/
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How to cite
CESM-HR was accessed on DATE from https://registry.opendata.aws/cesm-hr .
License
This dataset is created in collaboration with NCAR and the NCAR’s “Creative Commons Attribution 4.0 International license” used for their CESM2 LENS data product on AWS (https://www.ucar.edu/terms-of-use/data ) will be applicable for the CESM-HR PI-CTRL datasets too.