return to catalog
Dataset: MERRA_T2M_1994-06.nc
Catalog: https://thredds.rda.ucar.edu/thredds/catalog/files/g/ds193.0/MERRA/catalog.html
dataFormatNetCDF
featureTypeGRID
dataSize746507036
idfiles/g/ds193.0/MERRA/MERRA_T2M_1994-06.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: Global hourly 0.5-degree Surface Air Temperature (SAT) datasets were developed based on four reanalysis products [Modern-Era Retrospective Analysis for Research and Applications (MERRA for 1979-2009), 40-year ECMWF Re-Analysis (ERA-40 for 1958-2001), ECMWF Interim Re-Analysis (ERA-Interim for 1979-2009), and NCEP/NCAR reanalysis for 1948-2009)] and the Climate Research Unit Time Series version 3.10 (CRU TS3.10) for 1948-2009. The three-step adjustments included the spatial downscaling to 0.5-degree grid cells, the temporal interpolation from 6-hourly (in ERA-40 and NCEP/NCAR reanalysis) to hourly using the MERRA hourly SAT climatology for each day (and the linear interpolation from 3-hourly in ERA-Interim to hourly), and the bias correction in both monthly-mean maximum (Tmax) and minimum (Tmin) SAT using the CRU data. The final products have exactly the same monthly Tmax and Tmin as the CRU data, and perform well in comparison with in-situ hourly measurements over six sites and with a regional daily SAT dataset over Europe. They agree with each other much better than the original reanalyses, and the spurious SAT jumps of reanalyses over some regions are also substantially eliminated. One of the uncertainties in the final products can be quantified by the differences in the true monthly mean (using 24-hourly values) and the monthly averaged diurnal cycle from different final products.
  • Global Hourly 0.5-degree Land Surface Air Temperature Datasets (ds193.0)

Keywords:

  • : Numerical Weather Prediction
  • : Model data
  • : Reanalysis

Dates:

  • modified : 2014-02-13T23:05:29Z

Creators:

Publishers:

return to catalog