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Large-scale hydrological modelling has become increasingly wide-spread during the last decade. An annual workshop series on large-scale hydrological modelling has provided, since 1997, a forum to the German-speaking community for discussing recent developments and achievements in this research area. In this paper we present the findings from the 2007 workshop which focused on advances and visions in large-scale hydrological modelling. We identify the state of the art, difficulties and research perspectives with respect to the themes "sensitivity of model results", "integrated modelling" and "coupling of processes in hydrosphere, atmosphere and biosphere". Some achievements in large-scale hydrological modelling during the last ten years are presented together with a selection of remaining challenges for the future.
Wasser weltweit : wie groß sind die globalen Süßwasserressourcen, und wie nutzt sie der Mensch?
(2008)
Ohne Wasser kein Leben – die ersten organischen Moleküle entwickelten sich im Wasser, aus Wasser plus Kohlenstoff und Stickstoff, und auch heute brauchen Pflanzen, Tiere und Menschen viel Wasser, um zu überleben. Die Erde ist der einzige Planet mit flüssigem Wasser und der einzige Planet, auf dem es Leben gibt, zumindest in unserem Sonnensystem. Zwei Umstände bewirken gemeinsam, dass nur die Erde die richtige Temperatur für flüssiges Wasser an ihrer Oberfl äche hat: ihr Abstand zur Sonne und ihre Masse. Aufgrund ihrer ausreichend großen Masse kann sie eine Atmosphäre halten, die die mittlere Oberflächentemperatur von –18 °C auf +15 °C erhöht. Nur daher konnte sich im Frühstadium der Erdentstehung das Wasser, das in großen Mengen aus dem Erdinnern ausgaste, an der Oberfläche als flüssiges Wasser in den Ozeanen sammeln.
Floodplains play an important role in the terrestrial water cycle and are very important for biodiversity. Therefore, an improved representation of the dynamics of floodplain water flows and storage in global hydrological and land surface models is required. To support model validation, we combined monthly time series of satellite-derived inundation areas (Papa et al., 2010) with data on irrigated rice areas (Portmann et al., 2010). In this way, we obtained global-scale time series of naturally inundated areas (NIA), with monthly values of inundation extent during 1993–2004 and a spatial resolution of 0.5°. For most grid cells (0.5°×0.5°), the mean annual maximum of NIA agrees well with the static open water extent of the Global Lakes and Wetlands database (GLWD) (Lehner and Döll, 2004), but in 16% of the cells NIA is larger than GLWD. In some regions, like Northwestern Europe, NIA clearly overestimates inundated areas, probably because of confounding very wet soils with inundated areas. In other areas, such as South Asia, it is likely that NIA can help to enhance GLWD. NIA data will be very useful for developing and validating a floodplain modeling algorithm for the global hydrological model WGHM. For example, we found that monthly NIAs correlate with observed river discharges.