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Titel |
Spatial and temporal variability of soil moisture-atmosphere coupling on global scale |
VerfasserIn |
Clemens Schwingshackl, Martin Hirschi, Sonia I. Seneviratne |
Konferenz |
EGU General Assembly 2016
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Medientyp |
Artikel
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Sprache |
en
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 18 (2016) |
Datensatznummer |
250127844
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Publikation (Nr.) |
EGU/EGU2016-7765.pdf |
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Zusammenfassung |
Climate in different regions of the world is affected by a variety of processes. One important
factor influencing climatic conditions is the energy partitioning at the land surface into latent,
sensible and ground heat fluxes. In some regions of the world, the magnitude of latent
heat flux is dependent on available soil moisture. In these regions, one finds an
essentially linear relation between soil moisture and evaporative fraction (i.e. the fraction
of net radiation that goes into latent heat flux). However, the coupling strength at
distinct locations can change in the course of the year or during particular weather
conditions when the soil dries out. Using re-analysis and observation-based data
we identify regions with strong coupling between soil moisture and evaporative
fraction and investigate temporal variations of the coupling strength. Moreover, we
determine the critical soil moisture value that separates the regime in which evaporative
fraction is independent of soil moisture from that in which both variables are linearly
coupled.
Since the coupling between soil moisture and evaporative fraction influences strongly the
energy partitioning at the surface, it affects as well the magnitude of sensible heat flux.
Especially during dry spells, decreasing soil moisture and concomitant decreasing
evaporative fraction cause increasing sensible heat flux, which might further lead to higher
surface air temperatures. We investigate the strength of the single couplings (soil moisture →
latent heat flux → sensible heat flux → temperature) in order to quantify the influence of soil
moisture on surface air temperature. This allows us to comprehensively analyse
temporal and spatial variations of the soil moisture-temperature coupling strength. |
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