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Dataset: conus_gpep_regr_19590101-19590331.nc
Catalog: /thredds/catalog/files/d953316/regression/catalog.html
dataFormatNetCDF
authorityedu.ucar.gdex
featureTypeGRID
dataSize922885504
idfiles/d953316/regression/conus_gpep_regr_19590101-19590331.nc
Access
Preview

Access:

ServiceTypeDescription
OpenDAP Data Access Access dataset through OPeNDAP using the DAP2 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: Precipitation and temperature datasets are essential for diverse applications, yet existing high-resolution products often lack robust uncertainty quantification and transparent, reproducible station processing. This dataset resource contains a daily multi-decadal 0.02 ensemble of gridded surface precipitation and temperature for the Contiguous United States (CONUS). It currently spans 1950-2023 (74 years) and includes 10 ensemble members and statistics based on a larger 30-member ensemble. Links to software to generate additional ensemble members are provided in the documentation. The dataset was created using a framework combining meteorological station record reconstruction and spatial probabilistic estimation. The resulting serially-complete station record archive merges high-density observing networks (GHCN-D and MADIS) using a comprehensive set of gap-filling and reconstruction techniques -- quantile mapping, interpolation, machine learning, and multi-source merging -- yielding 25,887 precipitation and 20,998 temperature stations. Gridded Ensemble fields for daily precipitation total, mean temperature (Tmean), and daily temperature range (Trange) are generated using a probabilistic geospatial estimation approach that characterizes spatial variable uncertainty via cross-validation. This open-access ensemble -- together with its station archive and gridded deterministic and probabilistic components -- provides a critical resource for high-resolution hydrologic and climate research across CONUS.
  • NCAR GDEX - GPEP CONUS 0.02 degree multi-decadal ensemble daily precipitation and temperature dataset(d953316)

Dates:

  • modified : 2025-12-30T23:37:45.092Z

Creators:

  • UCAR/NCAR
  • CN/WHU
  • CO-MINES

Publishers:

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