The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
An ERA40-based atmospheric forcing for global ocean circulation models
Open accessAbstract
We develop, calibrate and test a dataset intended to drive global ocean hindcasts simulations of the last five decades. This dataset provides surface meteorological variables needed to estimate air-sea fluxes and is built from 6-hourly surface atmospheric state variables of ERA40. We first compare the raw fields of ERA40 to the CORE.v1 dataset of Large and Yeager (2004), used here as a reference, and discuss our choice to use daily radiative fluxes and monthly precipitation products extracted from satellite data rather than their ERA40 counterparts. Both datasets lead to excessively high global imbalances of heat and freshwater fluxes when tested with a prescribed climatological sea surface temperature. After identifying unrealistic time discontinuities (induced by changes in the nature of assimilated observations) and obvious global and regional biases in ERA40 fields (by comparison to high quality observations), we propose a set of corrections. Tropical surface air humidity is decreased from 1979 onward, representation of Arctic surface air temperature is improved using recent observations and the wind is globally increased. These corrections lead to a significant decrease of the excessive positive global imbalance of heat. Radiation and precipitation fields are then submitted to a small adjustment (in zonal mean) that yields a near-zero global imbalance of heat and freshwater. A set of 47-year-long simulations is carried out with the coarse-resolution (2° × 2°) version of the NEMO OGCM to assess the sensitivity of the model to the proposed corrections. Model results show that each of the proposed correction contributes to improve the representation of central features of the global ocean circulation.
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The NCEP/NCAR 40-Year Reanalysis Project
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The Global Precipitation Climatology Project (GPCP) Combined Precipitation Dataset
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The global climatology of an interannually varying air-sea flux data set.
Large, W. G., & Yeager, S. G. (2009) · Climate Dynamics · doi:10.1007/s00382-008-0441-3 · Cited by 1,636
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Diurnal to decadal global forcing for ocean and sea-ice models: The data sets and flux climatologies
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A New Sea Surface Temperature and Sea Ice Boundary Dataset for the Community Atmosphere Model
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Controlling factors of the oxygen balance in the Arabian Sea's OMZ
Resplandy, L., Lévy, M., Bopp, L., Echevin, V., Pous, S., Sarma, V. V. S. S., & Kumar, D. (2012) · Biogeosciences · doi:10.5194/bg-9-5095-2012 · Cited by 129
Faye, S., Lazar, A., Sow, B. A., & Gaye, A. T. (2015) · Frontiers in Physics · doi:10.3389/fphy.2015.00076 · Cited by 53
Kolodziejczyk, N., Marin, F., Bourlès, B., Gouriou, Y., & Berger, H. (2014) · Climate Dynamics · doi:10.1007/s00382-014-2107-7 · Cited by 28
Convective Boundary Layer Control of the Sea Surface Temperature in the Tropics
Hourdin, F., Rio, C., Jam, A., Traore, A., & Musat, I. (2020) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2019ms001988 · Cited by 24
Metadata
- Authors
- Brodeau, L., Barnier, B., Treguier, A.-M., Penduff, T., & Gulev, S.
- Venue
- Ocean Modelling
- Publisher
- Elsevier BV
- Published
- 2010
- Volume
- 31
- Issue
- 3-4
- Pages
- 88-104
- ISSN
- 1463-5003 (ISSN-L)
- OpenAlex
- W1979156498
- Cited by
- 398
- References
- 40
- FWCI
- 19.54
- Type
- journal article
- Language
- en
- Open access
- hybrid
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