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Rolf H. Reichle, Clara S. Draper, Q. Liu, Manuela Girotto, Sarith P. P. Mahanama, Randal D. Koster, and Gabrielle J. M. De Lannoy

-depth assessment of the MERRA-2 land surface energy balance is left for future study. The MERRA-2 skill is compared to that of MERRA-Land, MERRA, and, where possible, ERA-Interim/Land, a land-only reanalysis dataset produced recently by the European Centre for Medium-Range Weather Forecasts (ECMWF). The paper is organized as follows. Section 2 provides a brief description of the MERRA-2 system and the data used in this study. Next, the MERRA-2 estimates of terrestrial water storage ( section 3a ), soil

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Rolf H. Reichle, Q. Liu, Randal D. Koster, Clara S. Draper, Sarith P. P. Mahanama, and Gary S. Partyka

-generated precipitation, however, is corrected with precipitation observations before reaching the land surface. Observation-corrected precipitation was also used in the Climate Forecast System Reanalysis (CFSR; Saha et al. 2010 ; Meng et al. 2012 ) and in MERRA-Land ( Reichle et al. 2011 ; Reichle 2012 ). The latter is an offline, land-only reanalysis product. It provides significantly better land surface moisture storage dynamics than the original MERRA product because the MERRA-Land precipitation forcing was

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Laura M. Hinkelman

.1016/j.rse.2010.10.017 Draper , C. , R. Reichle , G. De Lannoy , and B. Scarino , 2015 : A dynamic approach to addressing observation-minus-forecast bias in a land surface skin temperature data assimilation system . J. Hydrometeor. , 16 , 449 – 464 , https://doi.org/10.1175/JHM-D-14-0087.1 . 10.1175/JHM-D-14-0087.1 Draper , C. , R. Reichle , and R. D. Koster , 2018 : Assessment of MERRA-2 land surface energy flux estimates . J. Climate , 31 , 671 – 691 , https

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