Updated datasets 2024-05-17 UTC

datasets/noaa-rrfs.yaml

@@ -1,8 +1,5 @@
 Name: NOAA Rapid Refresh Forecast System (RRFS) [Prototype]
 Description: |
-  NOTE** 3DRTMA data is being populated in the RRFS bucket under the prefix 3DRTMA and diag. The content provided supports model development. These are not yet operational NWS products and should not to be relied upon for operational purposes. This web site is not subject to 24/7 support, and thus may be unavailable during system outages.
- 
-  <br/><br/> 
   The Rapid Refresh Forecast System (RRFS) is the National Oceanic and Atmospheric Administration’s (NOAA) next generation convection-allowing, rapidly-updated ensemble prediction system, currently scheduled for operational implementation in 2024. The operational configuration will feature a 3 km grid covering North America and include deterministic forecasts every hour out to 18 hours, with deterministic and ensemble forecasts to 60 hours four times per day at 00, 06, 12, and 18 UTC.The RRFS will provide guidance to support forecast interests including, but not limited to, aviation, severe convective weather, renewable energy, heavy precipitation, and winter weather on timescales where rapidly-updated guidance is particularly useful.<br/><br/>
 
   The RRFS is underpinned by the [Unified Forecast System (UFS)](https://ufscommunity.org/), a community-based Earth modeling initiative, and benefits from collaborative development efforts across NOAA, academia, and research institutions.<br/><br/>

datasets/wbg-cckp.yaml

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 Name: World Bank Climate Change Knowledge Portal (CCKP)
-Description: CCKP provides open access to a comprehensive suite of climate and climate change resources derived from the latest generation of climate data archives. Products are based on a consistent and transparent approach with a systematic way of pre-processing the raw observed and model-based projection data to enable inter-comparable use across a broad range of applications. Climate products consist of basic climate variables as well as a large collection (70+) of more specialized, application-orientated variables and indices across different scenarios. Precomputed data can be extracted per specified variables, select timeframes, climate projection scenarios, across ensembles or individual models, etc. CCKP adheres to data distributions standards defined under the Coupled Model Intercomparison Project (CMIP) and its contributions to the Intergovernmental Panel on Climate Change (IPCC) Assessment Reports and latest scientific methodologies identified by the World Meteorological Organization and climate science community. Climate products are available for the following collections. CMIP6 global 0.25-degree – 1950-2100, updated from downscaled NASA’s NEX-GDDP-CMIP6; ERA5 global 0.25-degree – 1950-2022; CRU global 0.50-degree – 1901-2022; Population global 0.25-degree – 1995-2100 (GPW v4).
+Description: CCKP provides open access to a comprehensive suite of climate and climate change resources derived from the latest generation of climate data archives. Products are based on a consistent and transparent approach with a systematic way of pre-processing the raw observed and model-based projection data to enable inter-comparable use across a broad range of applications. Climate products consist of basic climate variables as well as a large collection (70+) of more specialized, application-orientated variables and indices across different scenarios. Precomputed data can be extracted per specified variables, select timeframes, climate projection scenarios, across ensembles or individual models, etc. CCKP adheres to data distributions standards defined under the Coupled Model Intercomparison Project (CMIP) and its contributions to the Intergovernmental Panel on Climate Change (IPCC) Assessment Reports and latest scientific methodologies identified by the World Meteorological Organization and climate science community. Climate products are available for the following collections. Downscaled CMIP6 global 0.25-degree – 1950-2100; ERA5 global 0.25-degree – 1950-2022; CRU global 0.50-degree – 1901-2022; Population global 0.25-degree – 1995-2100 (GPW v4).
 Documentation: https://worldbank.github.io/climateknowledgeportal
 Contact: C. MacKenzie Dove cdove@worldbank.org; askclimate@worldbank.org
 ManagedBy: "[World Bank Group](https://www.worldbank.org/en/home)"