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Screening variability and change of soil moisture under wide-ranging climate conditions: Snow dynamics effects.

Verrot L, Destouni G - Ambio (2015)

Bottom Line: Soil moisture influences and is influenced by water, climate, and ecosystem conditions, affecting associated ecosystem services in the landscape.Spatially, average intra-annual variability of soil moisture differs considerably between the basins due to their temperature-related differences in snow dynamics.With regard to temporal change, the long-term average state and intra-annual variability of soil moisture have not changed much, while inter-annual variability has changed considerably in response to hydro-climatic changes experienced so far in each basin.

View Article: PubMed Central - PubMed

Affiliation: Department of Physical Geography and Quaternary Geology, Stockholm University, 106 91, Stockholm, Sweden, lucile.verrot@natgeo.su.se.

ABSTRACT
Soil moisture influences and is influenced by water, climate, and ecosystem conditions, affecting associated ecosystem services in the landscape. This paper couples snow storage-melting dynamics with an analytical modeling approach to screening basin-scale, long-term soil moisture variability and change in a changing climate. This coupling enables assessment of both spatial differences and temporal changes across a wide range of hydro-climatic conditions. Model application is exemplified for two major Swedish hydrological basins, Norrström and Piteälven. These are located along a steep temperature gradient and have experienced different hydro-climatic changes over the time period of study, 1950-2009. Spatially, average intra-annual variability of soil moisture differs considerably between the basins due to their temperature-related differences in snow dynamics. With regard to temporal change, the long-term average state and intra-annual variability of soil moisture have not changed much, while inter-annual variability has changed considerably in response to hydro-climatic changes experienced so far in each basin.

No MeSH data available.


Average intra-annual distribution of groundwater table level zgw (Eq. 2) in clay loam (a). Results are shown for two different time-periods and for the two study basins. Dashed lines show one standard deviation from average values. b Boxplot of monthly values. The gray squares represent the 1st and 99th percentiles
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Fig4: Average intra-annual distribution of groundwater table level zgw (Eq. 2) in clay loam (a). Results are shown for two different time-periods and for the two study basins. Dashed lines show one standard deviation from average values. b Boxplot of monthly values. The gray squares represent the 1st and 99th percentiles

Mentions: Results for the groundwater table position show that it has on average increased slightly in autumn and winter (September–February) in Norrström, while it has decreased notably during spring (March–May) (Fig. 4a). In Piteälven, however, the level of the groundwater table is significantly lower for the period 1990–2009, and for every month. Inter-annual variability has not changed in Piteälven while it has increased in Norrström (Fig. 4b). Piteälven has experienced less particularly high water table level events. In Norrström, the occurrence of more extreme events has not changed.Fig. 4


Screening variability and change of soil moisture under wide-ranging climate conditions: Snow dynamics effects.

Verrot L, Destouni G - Ambio (2015)

Average intra-annual distribution of groundwater table level zgw (Eq. 2) in clay loam (a). Results are shown for two different time-periods and for the two study basins. Dashed lines show one standard deviation from average values. b Boxplot of monthly values. The gray squares represent the 1st and 99th percentiles
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4289003&req=5

Fig4: Average intra-annual distribution of groundwater table level zgw (Eq. 2) in clay loam (a). Results are shown for two different time-periods and for the two study basins. Dashed lines show one standard deviation from average values. b Boxplot of monthly values. The gray squares represent the 1st and 99th percentiles
Mentions: Results for the groundwater table position show that it has on average increased slightly in autumn and winter (September–February) in Norrström, while it has decreased notably during spring (March–May) (Fig. 4a). In Piteälven, however, the level of the groundwater table is significantly lower for the period 1990–2009, and for every month. Inter-annual variability has not changed in Piteälven while it has increased in Norrström (Fig. 4b). Piteälven has experienced less particularly high water table level events. In Norrström, the occurrence of more extreme events has not changed.Fig. 4

Bottom Line: Soil moisture influences and is influenced by water, climate, and ecosystem conditions, affecting associated ecosystem services in the landscape.Spatially, average intra-annual variability of soil moisture differs considerably between the basins due to their temperature-related differences in snow dynamics.With regard to temporal change, the long-term average state and intra-annual variability of soil moisture have not changed much, while inter-annual variability has changed considerably in response to hydro-climatic changes experienced so far in each basin.

View Article: PubMed Central - PubMed

Affiliation: Department of Physical Geography and Quaternary Geology, Stockholm University, 106 91, Stockholm, Sweden, lucile.verrot@natgeo.su.se.

ABSTRACT
Soil moisture influences and is influenced by water, climate, and ecosystem conditions, affecting associated ecosystem services in the landscape. This paper couples snow storage-melting dynamics with an analytical modeling approach to screening basin-scale, long-term soil moisture variability and change in a changing climate. This coupling enables assessment of both spatial differences and temporal changes across a wide range of hydro-climatic conditions. Model application is exemplified for two major Swedish hydrological basins, Norrström and Piteälven. These are located along a steep temperature gradient and have experienced different hydro-climatic changes over the time period of study, 1950-2009. Spatially, average intra-annual variability of soil moisture differs considerably between the basins due to their temperature-related differences in snow dynamics. With regard to temporal change, the long-term average state and intra-annual variability of soil moisture have not changed much, while inter-annual variability has changed considerably in response to hydro-climatic changes experienced so far in each basin.

No MeSH data available.