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Dataset: fixNames.bash
Catalog: /thredds/catalog/files/d651018/catalogues/ERA5/tempestLR/catalog.html
dataFormatNetCDF
authorityedu.ucar.gdex
featureTypeGRID
dataSize136
idfiles/d651018/catalogues/ERA5/tempestLR/fixNames.bash
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Access:

ServiceTypeDescription
OpenDAP Data Access Access dataset through OPeNDAP using the DAP2 protocol.
DAP4 Data Access Access dataset using the DAP4 protocol.
NetcdfSubset Data Access A web service for subsetting CDM scientific grid datasets.
CdmRemote Data Access Provides index subsetting on remote CDM datasets, using ncstream.
CdmrFeature Data Access Provides coordinate subsetting on remote CDM Feature Datasets, using ncstream.
WCS Data Access Supports access to geospatial data as 'coverages'.
WMS Data Access Supports access to georegistered map images from geoscience datasets.
HTTPServer Data Access HTTP file download.
ISO Metadata Provide ISO 19115 metadata representation of a dataset's structure and metadata.
NCML Metadata Provide NCML representation of a dataset.
UDDC Metadata An evaluation of how well the metadata contained in the dataset conforms to the NetCDF Attribute Convention for Data Discovery (NACDD)

Viewers:

ViewerTypeDescription
Godiva3 Browser
default_viewer.ipynb Jupyter Notebook The TDS default viewer attempts to plot any Variable contained in the Dataset.
Documentation
Dates
Creators
Publishers

Description:

  • Rights: Freely Available
  • summary: Atmospheric River Tracking Method Intercomparison Project (ARTMIP) Tier 2 Reanalysis developer catalogues and source data. Each ARTMIP method/algorithm (named by developer) submits a catalogue comprised of 0's (no AR exists) or 1's (yes AR exists) for each time slice, for each grid point, using reanalysis data from MERRA-2, ERA5, JRA-55 and JRA-55C. Quantities required for algorithms, such as IVT or IWV, were provided directly from the reanalysis output to avoid differences due to vertical resolution of the lowest model level in the reanalyses. Required catalogs for each ARTMIP method/algorithm included hourly binary AR tags in MERRA-2 for the period of January 1980 through December 2019 and hourly binary AR tags in ERA5 for the period of January 2000 through December 2019. Participants also had the option to submit hourly catalogs for January 1980 through December 1999 in ERA5 and six-hourly catalogs for January 1980 through December 2019 in JRA-55 and JRA-55C. Dataset information: Each tar file contains monthly files with hourly data from ERA5 at the native resolution of ERA5 (0.25 degrees latitude x 0.25 degrees longitude). This dataset is large, taking up over 4Tb when compressed. ERA5_slvsubset_*.tar.gz contains column water, the U and V components of the moisture flux, and precipitation. Note that these files are compressed using a scale factor and offset for the data. ERA5_IWV contains column water vapor ERA5_hourlyIVT_*.tar.gz contains IVT computed from the U and V components of the moisture flux in ERA5_slvsubser_*.tar.gz. Note: for ERA5_hourlyIVT files, the latitude metadata is incorrect, values follow ERA5 convection (90 to -90) and NOT -90 to 90 as written. ERA5_850hpawinds contain u850 and v850 millibar winds Errata: For ERA5_hourlyIVT files, the latitude metadata is incorrect, values follow ERA5 convection (90 to -90) and NOT -90 to 90 as written. Note: slvsubset includes U IVT and V IVT. If possible, we encourage using data from slvsubset instead of IVT due to the aforementioned errata. Reid500 has a discontinuity bug at the wrapping point between -180 and 180 degrees TempestLR inadvertently contains missing data for the latitude and longitude variables. However these can be acquired from the ERA5 source data itself.
  • NCAR GDEX - Atmospheric River Tracking Method Intercomparison Project Tier 2 Reanalysis Source Data and Catalogues(d651018)

Dates:

  • modified : 2024-08-29T20:03:36.736Z

Creators:

  • UCAR/NCAR/CGD

Publishers:

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