Open data
|
Deployed on AWS
Input data for the GEOS-Chem Chemical Transport Model, includes NASA/GMAO MERRA-2 and GEOS-FP [meteorological products](https://geos-chem.readthedocs.io/en/latest/gcclassic-user-guide/input-overview.html#met), [chemistry input data](https://geos-chem.readthedocs.io/en/latest/gcclassic-user-guide/input-overview.html#chemistry-input-data), [emissions input data](https://geos-chem.readthedocs.io/en/latest/gcclassic-user-guide/input-overview.html#emis-inputs), and other smaller datasets such as model [initial conditions](https://geos-chem.readthedocs.io/en/latest/gcclassic-user-guide/input-overview.html#initial-conditions-input-data>).
Overview
Input data for the GEOS-Chem Chemical Transport Model, includes NASA/GMAO MERRA-2 and GEOS-FP meteorological products , chemistry input data , emissions input data , and other smaller datasets such as model [initial conditions](https://geos-chem.readthedocs.io/en/latest/gcclassic-user-guide/input-overview.html#initial-conditions-input-data >).
Highlights
- ASDI
- Amazon Sustainability Data Initiative
- roda
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
- Top-level directory for all GEOS-Chem data.
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::geos-chem
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://geos-chem/
Resources
Vendor resources
Support
Managed By
How to cite
GEOS-Chem Input Data was accessed on DATE from https://registry.opendata.aws/geoschem-input-data .
Similar products
Input data for the GEOS-Chem Chemical Transport Model, includes NASA/GMAO MERRA-2 and GEOS-FP meteorological products, chemistry input data, emissions input data, and other smaller datasets such as model initial conditions.
The data are part of the 2022 Modeling Platform used to support regulatory actions and technical analyses conducted by the EPA's Office of State Air Partnerships (OSAP). Specifically, this data includes Weather Research and Forecasting Model (v4.4.2) conducted at a 12-km resolution over the Continental United States (12US). MCIP-processed files and wrfcamx-processed (12US1 domain) are also available as part of this dataset to assist in the use of emissions processing and photochemical modeling. These files may be used in downstream applications to generate emissions, photochemical modeling, or dispersion modeling inputs. Additionally, lateral boundary condition files generated using GEOS-CF at 36-km with results translated from GEOS-Chem species available in GEOS-CF to CMAQ cb6/ae7. Simulations for boundary conditions covering the northern hemisphere are also provided. 12US2 lateral boundary condition files are also generated based on 36US3 CMAQ model run outputs. These si[...]
GEOS-Chem is a global 3-D model of atmospheric chemistry driven by meteorological input from the Goddard Earth Observing System (GEOS) of the NASA Global Modeling and Assimilation Office. It is applied by research groups around the world to a wide range of atmospheric composition problems. Scientific direction of the model is provided by the international GEOS-Chem Steering Committee and by User Working Groups. The model is managed by the GEOS-Chem Support Team, based at Harvard University and Washington University with support from the US NASA Earth Science Division, the Canadian National and Engineering Research Council, and the Nanjing University of Information Sciences and Technology.
The Integrated Methane Inversion (IMI) is a user-friendly, cloud-based facility for estimating regional methane emissions.