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| Titel |
Contrasting land-climate with sea-climate feedbacks |
| VerfasserIn |
B. Orlowsky, S. I. Seneviratne |
| Konferenz |
EGU General Assembly 2009
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 11 (2009) |
| Datensatznummer |
250023242
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| Zusammenfassung |
| Since soil-moisture shows a memory of several months in many regions of the world,
understanding feedbacks between soil-moisture and the atmosphere offers the potential for
improved predictability of the often highly stochastic atmospheric variables. Feedbacks
between soil-moisture or evapotranspiration and atmospheric variables (mostly temperature
and precipitation) are often studied by numerical experiments, in which the effects of
different soil states on the atmosphere are analysed. Statistical feedback analysis of climate
model output has complemented these numerical experiment. Hot spots identified by
numerical experiments and by statistical feedback parameters agree in general. This paper
statistically analyses the GSWP2 data-set w.r.t. soil-moisture-precipitation feedbacks and
compares them to SST-precipitation feedbacks. It is found that for some of the previously
found soil-moisture-precipitation hotspots in fact an SST-precipitation and/or an
SST-soil-moisture-precipitation feedback is dominant. This allows for the classification of the
feedback hotspots which are (i) due to soil-moisture-precipitation, (ii) SST-precipitation or
(iii) SST-soil-moisture-precipitation feedbacks. An analysis of GCM simulations (20C3M
and A2 from the IPCC AR4) complements the GSWP2-classification of hotspots. |
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