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Dataset: SMM_SMAP_0.1.nc
Catalog: /thredds/catalog/files/d569728/SON/catalog.html
dataFormatNetCDF
authorityedu.ucar.gdex
featureTypeGRID
dataSize38699384
idfiles/d569728/SON/SMM_SMAP_0.1.nc
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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: The Global Observationally-Based Land-Atmosphere Coupling Metrics dataset (GOLAM; version v1.0) provides a comprehensive framework for assessing land-atmosphere (L-A) interactions, serving as benchmarks for diagnosing errors in Earth system models and for model validation purposes. Generally, this dataset is derived from observational products, primarily from satellite-based gridded data, and is classified into three archives: coupling, SMM, and regime. The archive "coupling" includes Pearson correlation coefficients and terrestrial coupling index between daily soil moisture (SM) and surface heat fluxes (HF), such as sensible heat flux (H), evaporation (E), and evaporative fraction (EF). The second archive is "SMM", which includes SM memory. These two archives are designed to address random observational errors in satellite SM measurements by using a Markovian framework. Therefore, this framework enables us to quantify the observational random error variance, thereby deriving mathematical formulations for the random-error-adjusted SMM, the adjusted Pearson correlation coefficient (R_Adjusted), and the adjusted terrestrial coupling index (I_Adjusted) from R_Adjusted. The third archive is "regime", which contains SM-EF regime identification. This archive provides global patterns of surface and sub-surface SM regimes and SM-EF indicators, such as wilting point, critical SM, saturated EF, and SM-EF slope, which are also quantified using segmented regression analysis.
  • NCAR GDEX - Global Observationally-Based Land-Atmosphere Coupling Metrics (GOLAM)(d569728)

Dates:

  • modified : 2026-05-06T00:55:33.154Z

Creators:

  • GMU/AOES

Publishers:

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