The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The role of horizontal resolution in simulating drivers of the global hydrological cycle
Open accessAbstract
The role of atmospheric general circulation model (AGCM) horizontal resolution in representing the global energy budget and hydrological cycle is assessed, with the aim of improving the understanding of model uncertainties in simulating the hydrological cycle. We use two AGCMs from the UK Met Office Hadley Centre: HadGEM1-A at resolutions ranging from 270 to 60 km, and HadGEM3-A ranging from 135 to 25 km. The models exhibit a stable hydrological cycle, although too intense compared to reanalyses and observations. This over-intensity is explained by excess surface shortwave radiation, a common error in general circulation models (GCMs). This result is insensitive to resolution. However, as resolution is increased, precipitation decreases over the ocean and increases over the land. This is associated with an increase in atmospheric moisture transport from ocean to land, which changes the partitioning of moisture fluxes that contribute to precipitation over land from less local to more non-local moisture sources. The results start to converge at 60-km resolution, which underlines the excessive reliance of the mean hydrological cycle on physical parametrization (local unresolved processes) versus model dynamics (large-scale resolved processes) in coarser HadGEM1 and HadGEM3 GCMs. This finding may be valid for other GCMs, showing the necessity to analyze other chains of GCMs that may become available in the future with such a range of horizontal resolutions. Our finding supports the hypothesis that heterogeneity in model parametrization is one of the underlying causes of model disagreement in the Coupled Model Intercomparison Project (CMIP) exercises.
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Citations
Cites
Global hydrological cycles and world water resources
Oki, T., & Kanae, S. (2006) · Science · doi:10.1126/science.1128845 · Cited by 4,392
The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system
Donlon, C. J., Martin, M., Stark, J., Roberts-Jones, J., Fiedler, E., & Wimmer, W. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.10.017 · Cited by 1,394
Relationships between precipitation and surface temperature
Trenberth, K. E., & Shea, D. J. (2005) · Geophysical Research Letters · doi:10.1029/2005gl022760 · Cited by 753 · cited 1×
“Sea surface temperature and salinity are intimately linked with the hydrological cycle (Trenberth and Shea 2005; O’Gorman and Schneider 2008; Allan 2009; Trenberth et al. 2010), but GCMs still have some major biases in their oceanic mean state representation and in the ocean-atmosphere coupling…”
Cited by
The BRIDGE HadCM3 family of climate models: HadCM3@Bristol v1.0
Valdes, P. J., Armstrong, E., Badger, M. P. S., Bradshaw, C. D., Bragg, F., Crucifix, M., Davies-Barnard, T., Day, J. J., Farnsworth, A., Gordon, C., et al. (2017) · Geoscientific Model Development · doi:10.5194/gmd-10-3715-2017 · Cited by 286
Metadata
- Authors
- Demory, M.-E., Vidale, P. L., Roberts, M. J., Berrisford, P., Strachan, J., Schiemann, R., & Mizielinski, M. S.
- Venue
- Climate Dynamics
- Published
- 2013-09-06
- Volume
- 42
- Issue
- 7-8
- Pages
- 2201-2225
- ISSN
- 0930-7575 (ISSN-L)
- 1432-0894
- OpenAlex
- W2027609762
- Cited by
- 164
- References
- 3
- FWCI
- 8.56
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Demory, M.-E., Vidale, P. L., Roberts, M. J., Berrisford, P., Strachan, J., Schiemann, R., & Mizielinski, M. S. (2014). The role of horizontal resolution in simulating drivers of the global hydrological cycle. Climate Dynamics. https://doi.org/10.1007/s00382-013-1924-4
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