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Assessment and Enhancement of MERRA Land Surface Hydrology Estimates
Open accessAbstract
The Modern-Era Retrospective Analysis for Research and Applications (MERRA) is a state-of-the-art reanalysis that provides, in addition to atmospheric fields, global estimates of soil moisture, latent heat flux, snow, and runoff for 1979–present. This study introduces a supplemental and improved set of land surface hydrological fields (“MERRA-Land”) generated by rerunning a revised version of the land component of the MERRA system. Specifically, the MERRA-Land estimates benefit from corrections to the precipitation forcing with the Global Precipitation Climatology Project pentad product (version 2.1) and from revised parameter values in the rainfall interception model, changes that effectively correct for known limitations in the MERRA surface meteorological forcings. The skill (defined as the correlation coefficient of the anomaly time series) in land surface hydrological fields from MERRA and MERRA-Land is assessed here against observations and compared to the skill of the state-of-the-art ECMWF Re-Analysis-Interim (ERA-I). MERRA-Land and ERA-I root zone soil moisture skills (against in situ observations at 85 U.S. stations) are comparable and significantly greater than that of MERRA. Throughout the Northern Hemisphere, MERRA and MERRA-Land agree reasonably well with in situ snow depth measurements (from 583 stations) and with snow water equivalent from an independent analysis. Runoff skill (against naturalized stream flow observations from 18 U.S. basins) of MERRA and MERRA-Land is typically higher than that of ERA-I. With a few exceptions, the MERRA-Land data appear more accurate than the original MERRA estimates and are thus recommended for those interested in using MERRA output for land surface hydrological studies.
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Citations
Cites
Precipitation Characteristics in Eighteen Coupled Climate Models
Dai, A. (2006) · Journal of Climate · doi:10.1175/jcli3884.1 · Cited by 1,098
Cited by
ERA5-Land: a state-of-the-art global reanalysis dataset for land applications
Muñoz-Sabater, J., Dutra, E., Agustí-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Boussetta, S., Choulga, M., Harrigan, S., Hersbach, H., et al. (2021) · Earth System Science Data · doi:10.5194/essd-13-4349-2021 · Cited by 5,540
Lorenz, C., & Kunstmann, H. (2012) · Journal of Hydrometeorology · doi:10.1175/jhm-d-11-088.1 · Cited by 349
Origin of the RNA world: The fate of nucleobases in warm little ponds
Pearce, B. K. D., Pudritz, R. E., Semenov, D. A., & Henning, T. K. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1710339114 · Cited by 210
“Precipitation data from a variety of locations on Earth today (24, 35) represent two classes of matching early Earth analogues: warm (Thailand, Brazil, and Mexico) and hot (Columbia, Indonesia, Cameroon).”
Background
Metadata
- Authors
- Reichle, R. H., Koster, R. D., De Lannoy, G. J. M., Forman, B. A., Liu, Q., Mahanama, S. P. P., & Touré, A.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2011-12-15
- Volume
- 24
- Issue
- 24
- Pages
- 6322-6338
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2074355870
- Cited by
- 515
- References
- 1
- FWCI
- 26.20
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Reichle, R. H., Koster, R. D., De Lannoy, G. J. M., Forman, B. A., Liu, Q., Mahanama, S. P. P., & Touré, A. (2011). Assessment and Enhancement of MERRA Land Surface Hydrology Estimates. Journal of Climate. https://doi.org/10.1175/jcli-d-10-05033.1
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