edu.ucar.gdex::d569728 eng; USA utf-8 dataset NSF NCAR Geoscience Data Exchange datahelp@ucar.edu https://gdex.ucar.edu NSF NCAR Geoscience Data Exchange The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research. download pointOfContact 2026-05-07T17:18:04Z ISO 19115 Geographic Information - Metadata ISO19115:2003/Cor 1 2006 https://doi.org/10.5065/VE87-2Q15 Global Observationally-Based Land-Atmosphere Coupling Metrics (GOLAM) d569728 2026-05-05 publication Tavakoli, Nazanin author Dirmeyer, Paul A. author NSF National Center for Atmospheric Research publisher 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. completed datahelp@ucar.edu pointOfContact notPlanned dataset https://gdex.ucar.edu/images/ds_logos/default_200_200.png Logo thumbnail from URL png HDF5/NetCDF4 dataset Resource Type 2021-03-30 revision 4.4 DataCite Metadata Working Group orginator resourceTypeGeneral SMAP > Soil Moisture Active and Passive Observatory U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2026-04-29 revision 23.8 NASA Global Change Master Directory orginator Valids List: Platforms EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT EARTH SCIENCE > LAND SURFACE > SURFACE THERMAL PROPERTIES > HEAT FLUX U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2026-04-29 revision 23.8 NASA Global Change Master Directory orginator Valids List: Science and Services Keywords Creative Commons Attribution 4.0 International License None eng utf-8 climatologyMeteorologyAtmosphere NSF NCAR Geoscience Data Exchange datahelp@ucar.edu https://gdex.ucar.edu distributor 1503.239 https://gdex.ucar.edu/datasets/d569728/ https Dataset Description Related Link information https://gdex.ucar.edu/datasets/d569728/dataaccess/ https Data Access Related Link download none asNeeded