diff --git a/datasets/dynamical-ecmwf-ifs-ens.yaml b/datasets/dynamical-ecmwf-ifs-ens.yaml new file mode 100644 index 000000000..793c975a5 --- /dev/null +++ b/datasets/dynamical-ecmwf-ifs-ens.yaml @@ -0,0 +1,46 @@ +Name: ECMWF IFS ENS +Description: | + +

+ The Integrated Forecasting System (IFS) is a global forecast model developed + by ECMWF. ENS is an ensemble configuration of IFS, containing 51 ensemble members. + IFS consists of a numerical model of the Earth system, which includes + an atmospheric model at its heart, coupled with models of other Earth system + components such as the ocean. The data assimilation system combines + the latest weather observations with a recent forecast to obtain the best + possible estimate of the current state of the Earth system. +

+ + These datasets have been translated to cloud-optimized Icechunk Zarr format by dynamical.org. + +Documentation: https://dynamical.org/catalog/ifs-ens/' +Contact: feedback@dynamical.org +ManagedBy: "[dynamical.org](https://dynamical.org)" +UpdateFrequency: ECMWF IFS ENS Forecast, 15 day, 0.25 degree: Forecasts initialized every 24 hours +Tags: + - weather + - atmosphere + - meteorological + - climate + - forecast + - zarr +License: "[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)" +Resources: + - Description: ECMWF IFS ENS Icechunk Zarr data + ARN: arn:aws:s3:::dynamical-ecmwf-ifs-ens + Region: us-west-2 + Type: S3 Bucket + Explore: + - "[Browse Bucket](https://dynamical-ecmwf-ifs-ens.s3.amazonaws.com/index.html)" +DataAtWork: + Tutorials: + - Title: ECMWF IFS ENS Forecast, 15 day, 0.25 degree python quickstart notebook + NotebookURL: https://github.com/dynamical-org/notebooks/blob/main/ecmwf-ifs-ens-forecast-15-day-0-25-degree-icechunk.ipynb + AuthorName: dynamical.org + AuthorURL: https://dynamical.org +ADXCategories: + - Environmental Data \ No newline at end of file diff --git a/datasets/dynamical-noaa-gfs.yaml b/datasets/dynamical-noaa-gfs.yaml new file mode 100644 index 000000000..81745a7a7 --- /dev/null +++ b/datasets/dynamical-noaa-gfs.yaml @@ -0,0 +1,46 @@ +Name: NOAA GFS +Description: | + +

+ The Global Forecast System (GFS) is a National Oceanic and Atmospheric + Administration (NOAA) National Centers for Environmental Prediction + (NCEP) weather forecast model that generates data for dozens of + atmospheric and land-soil variables, including temperatures, winds, + precipitation, soil moisture, and atmospheric ozone concentration. The + system couples four separate models (atmosphere, ocean model, land/soil + model, and sea ice) that work together to depict weather conditions. +

+ + These datasets have been translated to cloud-optimized Icechunk Zarr format by dynamical.org. + +Documentation: https://dynamical.org/catalog/gfs/' +Contact: feedback@dynamical.org +ManagedBy: "[dynamical.org](https://dynamical.org)" +UpdateFrequency: NOAA GFS forecast: Forecasts initialized every 6 hours +Tags: + - weather + - atmosphere + - meteorological + - climate + - forecast + - zarr +License: "[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)" +Resources: + - Description: NOAA GFS Icechunk Zarr data + ARN: arn:aws:s3:::dynamical-noaa-gfs + Region: us-west-2 + Type: S3 Bucket + Explore: + - "[Browse Bucket](https://dynamical-noaa-gfs.s3.amazonaws.com/index.html)" +DataAtWork: + Tutorials: + - Title: NOAA GFS forecast python quickstart notebook + NotebookURL: https://github.com/dynamical-org/notebooks/blob/main/noaa-gfs-forecast-icechunk.ipynb + AuthorName: dynamical.org + AuthorURL: https://dynamical.org +ADXCategories: + - Environmental Data \ No newline at end of file diff --git a/datasets/dynamical-noaa-hrrr.yaml b/datasets/dynamical-noaa-hrrr.yaml new file mode 100644 index 000000000..9712c012a --- /dev/null +++ b/datasets/dynamical-noaa-hrrr.yaml @@ -0,0 +1,45 @@ +Name: NOAA HRRR +Description: | + +

+ The High-Resolution Rapid Refresh (HRRR) is a NOAA real-time 3-km resolution, + hourly updated, cloud-resolving, convection-allowing atmospheric model, + initialized by 3km grids with 3km radar assimilation. Radar data is + assimilated in the HRRR every 15 min over a 1-h period adding further + detail to that provided by the hourly data assimilation from the 13km + radar-enhanced Rapid Refresh. +

+ + These datasets have been translated to cloud-optimized Icechunk Zarr format by dynamical.org. + +Documentation: https://dynamical.org/catalog/hrrr/' +Contact: feedback@dynamical.org +ManagedBy: "[dynamical.org](https://dynamical.org)" +UpdateFrequency: NOAA HRRR forecast, 48 hour: Forecasts initialized every 6 hours. +Tags: + - weather + - atmosphere + - meteorological + - climate + - forecast + - zarr +License: "[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)" +Resources: + - Description: NOAA HRRR Icechunk Zarr data + ARN: arn:aws:s3:::dynamical-noaa-hrrr + Region: us-west-2 + Type: S3 Bucket + Explore: + - "[Browse Bucket](https://dynamical-noaa-hrrr.s3.amazonaws.com/index.html)" +DataAtWork: + Tutorials: + - Title: NOAA HRRR forecast, 48 hour python quickstart notebook + NotebookURL: https://github.com/dynamical-org/notebooks/blob/main/noaa-hrrr-forecast-48-hour-icechunk.ipynb + AuthorName: dynamical.org + AuthorURL: https://dynamical.org +ADXCategories: + - Environmental Data \ No newline at end of file