return to catalog
Dataset: conus_daily_eighth_19800101_19801231_049.nc4
Catalog: /thredds/catalog/files/d010078/catalog.html
dataFormatNetCDF
authorityedu.ucar.gdex
featureTypeGRID
dataSize235010732
idfiles/d010078/conus_daily_eighth_19800101_19801231_049.nc4
Access
Preview

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: Gridded precipitation and temperature products are inherently uncertain due to myriad factors, including interpolation from a sparse observation network, measurement representativeness, and measurement errors. Generally uncertainty is not explicitly accounted for in gridded products of precipitation or temperature; if it is represented, it is often included in an ad-hoc manner. A lack of quantitative uncertainty estimates for hydrometeorological forcing fields limits the application of advanced data assimilation systems and other analysis tools in land-surface and hydrologic modeling. This study develops a gridded, observation-based ensemble of precipitation and temperature at a daily increment for the period 1980-2012. This allows for the estimation of precipitation and temperature uncertainty in hydrologic modeling and data assimilation through the use of the ensemble variance. Statistical verification of the ensemble indicates that it has generally good reliability and discrimination of events of various magnitudes, but has a slight wet bias for high threshold events (> 50 mm). The ensemble mean is similar to another widely used hydrometeorological dataset but with some important differences. The ensemble product produces more realistic occurrence of precipitation statistics (wet day fraction), which impacts the empirical derivation of other fields used in land-surface and hydrologic modeling. Elevation lapse rates for temperature are derived directly from the observations, resulting in higher winter temperatures at high elevations in the intermountain western US.
  • NCAR GDEX - Gridded Ensemble Precipitation and Temperature Estimates over the Contiguous United States Version 2.0(d010078)

Dates:

  • modified : 2025-09-24T21:06:27.972Z

Creators:

  • UWA/CEE
  • UCAR/NCAR/RAL

Publishers:

return to catalog