return to catalog
Dataset: cmorph.3hr-025deg.20120819.nc
Catalog: https://thredds.rda.ucar.edu/thredds/catalog/files/g/ds502.0/2012/catalog.html
dataFormatNetCDF
authorityedu.ucar.rda
featureTypeGRID
dataSize44246572
idfiles/g/ds502.0/2012/cmorph.3hr-025deg.20120819.nc
Access
Preview

Access:

ServiceTypeDescription
OpenDAP Data Access Access dataset through OPeNDAP using the DAP2 protcol.
DAP4 Data Access Access dataset through OPeNDAP using the DAP4 protocol.
NetcdfSubset Data Access A web service for subsetting CDM scientific 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 metdata 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
Keywords
Dates
Creators
Publishers

Description:

  • Rights: Freely Available
  • summary: CMORPH (CPC MORPHing technique) produces global precipitation analyses at very high spatial and temporal resolution. This technique uses precipitation estimates that have been derived from low orbiter satellite microwave observations exclusively, and whose features are transported via spatial propagation information that is obtained entirely from geostationary satellite IR data. Precipitation estimates are derived from the passive microwaves aboard the DMSP 13, 14 and 15 (SSM-I), the NOAA-15, 16, 17 and 18 (AMSU-B), and AMSR-E and TMI aboard NASA's Aqua and TRMM spacecraft, respectively. These estimates are generated by algorithms of Ferraro (1997) for SSM-I, Ferraro et al. (2000) for AMSU-B and Kummerow et al. (2001) for TMI. Note that this technique is not a precipitation estimation algorithm but a means by which estimates from existing microwave rainfall algorithms can be combined. Therefore, this method is extremely flexible such that any precipitation estimates from any microwave satellite source can be incorporated.
  • NCAR RDA - NOAA CPC Morphing Technique (CMORPH) Global Precipitation Analyses (ds502.0)
  • NOAA CMORPH Precipitation Page

Keywords:

  • : CMORPH
  • : NCEP
  • : Precipitation
  • : Precipitation Analysis

Dates:

  • modified : 2012-08-21T05:04:44Z

Creators:

Publishers:

return to catalog