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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.
• from the NASA Astrophysics Data System • by the DOI System •
@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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