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Assessment of MERRA-2 Land Surface Hydrology Estimates
Open accessAbstract
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).
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Cited by
Twentieth-century hydroclimate changes consistent with human influence
Marvel, K., Cook, B. I., Bonfils, C. J. W., Durack, P. J., Smerdon, J. E., & Williams, A. P. (2019) · Nature · doi:10.1038/s41586-019-1149-8 · Cited by 317
Metadata
- Authors
- Reichle, R. H., Draper, C. S., Liu, Q., Girotto, M., Mahanama, S. P. P., Koster, R. D., & De Lannoy, G. J. M.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2017-04
- Volume
- 30
- Issue
- 8
- Pages
- 2937-2960
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2566089477
- Cited by
- 394
- References
- 0
- FWCI
- 17.38
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Reichle, R. H., Draper, C. S., Liu, Q., Girotto, M., Mahanama, S. P. P., Koster, R. D., & De Lannoy, G. J. M. (2017). Assessment of MERRA-2 Land Surface Hydrology Estimates. Journal of Climate. https://doi.org/10.1175/jcli-d-16-0720.1
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