Sold by: NOAA
Open data
|
Deployed on AWS
The Climate Resilience Information System (CRIS) provides a variety of historical observations and future projections of a variety of decision-relevant thresholds of temperature and precipitation.
<br><br>
LOCA2 and STAR-ESDM are two downscaled climate projection datasets covering the Contiguous United States (CONUS) chosen for inclusion in the 5th U.S. National Climate Assessment. These datasets include 16 models along with a weighted ensemble for the scenarios SSP2-4.5, SSP3-7.0 and SSP5-8.5. The precipitation and temperature variables were processed into thresholds by the NOAA Technical Support Unit.
<br><br>
Livneh and nClimGrid are gridded observed historical climatology data that were used in the LOCA2 and STAR-ESDM downscaling process. The original Livneh and nClimGrid daily temperature and precipitation observations have been converted to the same series of thresholds as LOCA2 and STAR.
<br><br>
Details on thresholds, models, scenarios, time, and processing methodologie[...]
Overview
The Climate Resilience Information System (CRIS) provides a variety of historical observations and future projections of a variety of decision-relevant thresholds of temperature and precipitation.
LOCA2 and STAR-ESDM are two downscaled climate projection datasets covering the Contiguous United States (CONUS) chosen for inclusion in the 5th U.S. National Climate Assessment. These datasets include 16 models along with a weighted ensemble for the scenarios SSP2-4.5, SSP3-7.0 and SSP5-8.5. The precipitation and temperature variables were processed into thresholds by the NOAA Technical Support Unit.
Livneh and nClimGrid are gridded observed historical climatology data that were used in the LOCA2 and STAR-ESDM downscaling process. The original Livneh and nClimGrid daily temperature and precipitation observations have been converted to the same series of thresholds as LOCA2 and STAR.
Details on thresholds, models, scenarios, time, and processing methodologies can be found at https://cris.climate.gov/pages/about-the-data
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
- LOCA2 and STAR-ESDM
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::noaa-cris-pds
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://noaa-cris-pds/
- Description
- New data notifications for LOCA2 and STAR-ESDM, only Lambda and SQS protocols allowed
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:us-west-2:123901341784:NewCRISObject
- AWS region
- us-east-1
- Description
- nClimGrid and Livneh Gridded Historical Observation Thresholds
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::noaa-cris-hist-pds
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://noaa-cris-hist-pds/
- Description
- New data notifications for nClimGrid and Livneh Gridded Historical Observation Thresholds, only Lambda and SQS protocols allowed
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:us-west-2:123901341784:NewCRIS-HISTObject
- AWS region
- us-east-1
Resources
Vendor resources
Support
Contact
For any questions regarding the NOAA Open Data Dissemination (NODD) Program, email the NODD Team at nodd@noaa.gov . We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NODD team by emailing nodd@noaa.gov
Managed By
How to cite
NOAA Climate Resilience Information System CONUS Thresholds was accessed on DATE from https://registry.opendata.aws/noaa-cris-hist .
License
NOAA data disseminated through NODD are open to the public and can be used as desired.
NOAA makes data openly available to ensure maximum use of our data, and to spur and encourage exploration and innovation throughout the industry. NOAA requests attribution for the use or dissemination of unaltered NOAA data. However, it is not permissible to state or imply endorsement by or affiliation with NOAA. If you modify NOAA data, you may not state or imply that it is original, unaltered NOAA data.
Similar products
S-102 is a data and metadata encoding specification that is part of the S-100 Universal Hydrographic Data Model, an international standard for hydrographic data exchange. This collection of data contains bathymetric surfaces from NOAA/NOS/OCS National Bathymetric Source, for various U.S. coastal and offshore waters and the great lakes. These datasets are encoded as HDF5 files conforming to the S-102 specification.
S-104 is a data and metadata encoding specification that is part of the S-100 Universal Hydrographic Data Model, an international standard for hydrographic data. This collection of data contains water level forecast guidance from NOAA's Global Surge and Tide Operational Forecast System 2-D (STOFS-2D-Global), an operational hydrodynamic nowcast and forecast modeling system for global water level conditions. These datasets are encoded as HDF-5 files conforming to the S-104 specification, and are geospatially subset into individual tiles conforming to the NOAA/OCS Nautical Product Tiling Scheme, with filenames indicating the corresponding NOAA Electronic Navigational Chart (ENC) Cell Identifier. A set of prototype S-104 tiles has been created for the Charleston, SC area for a select model run cycle. Each individual S-104 (HDF-5) file contains all forecast projections from a single mod[...]
This is a 20-year global wave reforecast generated by WAVEWATCH III model (https://github.com/NOAA-EMC/WW3) forced by GEFSv12 winds (https://noaa-gefs-retrospective.s3.amazonaws.com/index.html). The wave ensemble was run with one cycle per day (at 03Z), spatial resolution of 0.25°X0.25° and temporal resolution of 3 hours. There are five ensemble members (control plus four perturbed members) and, once a week (Wednesdays), the ensemble is expanded to eleven members. The forecast range is 16 days and, once a week (Wednesdays), it extends to 35 days. More information about the wave modeling, wave grids and calibration can be found in the WAVEWATCH III regtest ww3ufs1.3 (https://github.com/NOAA-EMC/WW3/tree/develop/regtests/ww3ufs1.3).
The 20 years of reforecast results were analyzed and quality-controlled. Three output types are available
1) Global wave fields, in grib2 format, with several variables including significant wave height, period, direction, and par[...]
S-111 is a data and metadata encoding specification that is part of the S-100 Universal Hydrographic Data Model, an international standard for hydrographic data. This collection of data contains surface water currents forecast guidance from NOAA/NOS Operational Forecast Systems, a set of operational hydrodynamic nowcast and forecast modeling systems, for various U.S. coastal waters and the great lakes. The collection also contains surface current forecast guidance output from the NCEP Global Real-Time Ocean Forecast System (GRTOFS) for some offshore areas. These datasets are encoded as HDF-5 files conforming to the S-111 specification, and are geospatially subset into individual tiles conforming to the NOAA/OCS Nautical Product Tiling Scheme, with filenames indicating the corresponding NOAA Electronic Navigational Chart (ENC) Cell Identifier.
A full set of S-1[...]
NOAA's Climate Data Records (CDRs) are robust, sustainable, and scientifically sound climate records that provide trustworthy information on how, where, and to what extent the land, oceans, atmosphere and ice sheets are changing. These datasets are thoroughly vetted time series measurements with the longevity, consistency, and continuity to assess and measure climate variability and change. NOAA CDRs are vetted using standards established by the National Research Council (NRC).
Climate Data Records are created by merging data from surface, atmosphere, and space-based systems across decades. NOAA’s Climate Data Records provides authoritative and traceable long-term climate records. NOAA developed CDRs by applying modern data analysis methods to historical global satellite data. This process can clarify the underlying climate trends within the data and allows researchers and other users to identify economic and scientific value in these records. NCEI maintains and extends [...]