1998
DOI: 10.1175/1520-0493(1998)126<1419:eoosho>2.0.co;2
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Effect of Ocean Surface Heterogeneity on Climate Simulation

Abstract: A sensitivity study is performed to examine the potential effect of spatial variations in sea surface temperature (SST) that typically are not resolved in general climate models (GCMs). The study uses a single-column atmospheric model, representing a grid box of a GCM, that overlies a surface domain divided into many subgrid cells. The model is driven by boundary conditions representative of the Gulf Stream off the mid-Atlantic coast of the United States, for the year 1987. A heterogeneous simulation, which in… Show more

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Cited by 4 publications
(4 citation statements)
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“…Thus the model can be used to examine such issues as effects on the regional hydrologic cycle of vegetation distributions that are subgrid in scale relative to the width of the atmospheric column. Earlier work using the atmospheric portion of this model, for example, examined how and when subgrid distributions of sea surface temperature influences air‐sea interaction [ Gutowski et al , 1998]. An important capability of the model in this regard is its ability to perform multiyear runs efficiently so that the model can simulate simultaneously the fast evolution of the atmospheric hydrologic cycle and the slow evolution of subterranean water.…”
Section: Resultsmentioning
confidence: 99%
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“…Thus the model can be used to examine such issues as effects on the regional hydrologic cycle of vegetation distributions that are subgrid in scale relative to the width of the atmospheric column. Earlier work using the atmospheric portion of this model, for example, examined how and when subgrid distributions of sea surface temperature influences air‐sea interaction [ Gutowski et al , 1998]. An important capability of the model in this regard is its ability to perform multiyear runs efficiently so that the model can simulate simultaneously the fast evolution of the atmospheric hydrologic cycle and the slow evolution of subterranean water.…”
Section: Resultsmentioning
confidence: 99%
“…The Coupled Land‐Atmosphere Simulation Program is a single atmospheric column coupled to an underlying terrestrial domain that may encompass one or more watershed subcatchments. Earlier studies have also used similar one‐dimensional (1‐D) atmospheric models to study land‐atmosphere coupling [e.g., Wetzel and Chang , 1988; Koster and Eagleson , 1990] and ocean‐atmosphere coupling [e.g., Gutowski et al , 1998] in the hydrologic cycle. Because the CLASP emulates a grid box of an AGCM, the atmospheric column's horizontal extent, and hence its horizontal resolution, can range from several tens to hundreds of kilometers, depending on the application.…”
Section: Mathematical Modelmentioning
confidence: 99%
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“…The spatial mean Q c value also decreased but negligibly (~0.05 W/m 2 ) for the very stable MGL3 mission when comparing high‐resolution to low‐resolution patterns. These findings demonstrate that in the surface heat flux estimation of inland water bodies, the errors associated with the area‐averaged LSWT are expected to be higher under near‐neutral conditions (Gutowski et al, ; Mahrt & Hristov, ), a condition that is not common on an annual basis over lakes (Verburg & Antenucci, ; Woolway et al, ). In order to further investigate the effect of the above estimated biases of the calculated surface cooling induced by LSWT subpixel‐scale heterogeneity on the overall heat budget of a large lake such as Lake Geneva, and in particular, in a long‐term analysis, a more extensive data base would be required; this currently does not exist.…”
Section: Resultsmentioning
confidence: 86%