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Assessment of MERRA-2 Land Surface Hydrology Estimates

Reichle, Rolf H., Draper, Clara S., Liu, Q., Girotto, Manuela, Mahanama, Sarith P. P., Koster, Randal D., and De Lannoy, Gabrielle J. M., 2017. Assessment of MERRA-2 Land Surface Hydrology Estimates. Journal of Climate, 30(8):2937–2960, doi:10.1175/JCLI-D-16-0720.1.

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@ARTICLE{2017JCli...30.2937R,
       author = {{Reichle}, Rolf H. and {Draper}, Clara S. and {Liu}, Q. and {Girotto}, Manuela and {Mahanama}, Sarith P.~P. and {Koster}, Randal D. and {De Lannoy}, Gabrielle J.~M.},
        title = "{Assessment of MERRA-2 Land Surface Hydrology Estimates}",
      journal = {Journal of Climate},
         year = 2017,
        month = apr,
       volume = {30},
       number = {8},
        pages = {2937-2960},
     abstract = "{The MERRA-2 atmospheric reanalysis product provides global, 1-hourly
        estimates of land surface conditions for 1980-present at 50-km
        resolution. MERRA-2 uses observations-based precipitation to
        force the land (unlike its predecessor, MERRA). This paper
        evaluates MERRA-2 and MERRA land hydrology estimates, along with
        those of the land-only MERRA-Land and ERA-Interim/Land products,
        which also use observations-based precipitation. Overall,
        MERRA-2 land hydrology estimates are better than those of MERRA-
        Land and MERRA. A comparison against GRACE satellite
        observations of terrestrial water storage demonstrates clear
        improvements in MERRA-2 over MERRA in South America and Africa
        but also reflects known errors in the observations used to
        correct the MERRA-2 precipitation. Validation against in situ
        measurements from 220-320 stations in North America, Europe, and
        Australia shows that MERRA-2 and MERRA-Land have the highest
        surface and root zone soil moisture skill, slightly higher than
        that of ERA-Interim/Land and higher than that of MERRA
        (significantly for surface soil moisture). Snow amounts from
        MERRA-2 have lower bias and correlate better against reference
        data from the Canadian Meteorological Centre than do those of
        MERRA-Land and MERRA, with MERRA-2 skill roughly matching that
        of ERA-Interim/Land. Validation with MODIS satellite
        observations shows that MERRA-2 has a lower snow cover
        probability of detection and probability of false detection than
        MERRA, owing partly to MERRA-2's lower midwinter, midlatitude
        snow amounts and partly to MERRA-2's revised snow depletion
        curve parameter compared to MERRA. Finally, seasonal anomaly R
        values against naturalized streamflow measurements in the United
        States are, on balance, highest for MERRA-2 and ERA-
        Interim/Land, somewhat lower for MERRA-Land, and lower still for
        MERRA (significantly in four basins).}",
          doi = {10.1175/JCLI-D-16-0720.1},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2017JCli...30.2937R},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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