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extremes several weeks in advance (e.g. Koster et al., 2010a; Mueller and Seneviratne, 2010). Such early soil<br />

moisture information can be either provided by an offline land surface model driven with observation-based<br />

forcing (e.g. Dirmeyer et al., 2006), by remote sensing products (e.g. Wagner et al., 2007; De Jeu et al., 2008),<br />

or by the assimilation of remote sensing products in land surface models (e.g. Reichle, 2008). However, the<br />

scarcity of precipitation and soil moisture observations still limits the derivation of reliable soil moisture<br />

estimates and the evaluation of satellite approaches on most continents (e.g. Koster et al., 2010b; Dorigo et<br />

al., 2013).<br />

Figure 7.8 Estimation of evapotranspiration drivers (moisture and radiation) based on observation-driven land surface model<br />

simulation. Source: Seneviratne et al., 2010.<br />

The figure displays yearly correlations of evapotranspiration with global radiation Rg and precipitation P in simulations from the 2nd<br />

phase of the Global <strong>Soil</strong> Wetness Project (GSWP, Dirmeyer et al., 2006) using a two-dimensional color map, based on Teuling et al.<br />

2009, redrawn for the whole globe. (Seneviratne et al., 2010)<br />

Climate models project that several regions will be affected by more frequent drought conditions in the<br />

future as a consequence of enhanced greenhouse gas concentrations (e.g. Wang, 2005; Sheffield and Wood,<br />

2007; Seneviratne et al., 2012). This implies shifts in climate and soil moisture regimes, with important impacts<br />

on temperature projections (e.g. Seneviratne et al., 2006; Dirmeyer et al., 2012), in particular for temperature<br />

extremes (Seneviratne et al., 2013).<br />

Another feedback of soil moisture on climate is the possible impact of droughts on plant carbon uptake<br />

and a resulting decreased sink for CO 2<br />

emissions (Ciais et al., 2005; Friedlingstein et al., 2006; Sitch et al.,<br />

2008; Reichstein et al., 2013). One particularly important region for this feedback is the Amazon rainforest,<br />

which is projected in some models to dry substantially (e.g. Mahli et al., 2008). However, these projections<br />

are associated with high uncertainty in current climate models (Orlowsky and Seneviratne, 2013), and the<br />

resulting effects on carbon uptake could also be affected by the representation of plant physiology in the land<br />

surface schemes (Huntingford et al., 2012).<br />

Finally, the combined effects of soil moisture on near-surface humidity and temperature are also relevant<br />

for boundary layer development and precipitation occurrence (e.g. Betts, 2004; Koster et al., 2004; Taylor et<br />

al., 2012). More details on these feedbacks are provided in Sections 7.5 and 7.6 below.<br />

Status of the <strong>World’s</strong> <strong>Soil</strong> <strong>Resources</strong> | Main Report The impact of soil change on ecosystem services<br />

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