scholarly journals Effects of spatial and temporal variability in soil moisture on widths and δ13C values of eastern Siberian tree rings

2003 ◽  
Vol 108 (D16) ◽  
Author(s):  
A. Kagawa
Keyword(s):  
Soil Moisture ◽  
Tree Rings ◽  
Temporal Variability ◽  
Spatial And Temporal Variability ◽  
Δ13c Values

Regional scale spatial and temporal variability of soil moisture in a prairie region

2016 ◽  
Vol 30 (20) ◽  
pp. 3639-3649 ◽  
Author(s):  
Travis T. Burns ◽  
Aaron A. Berg ◽  
Jaclyn Cockburn ◽  
Erica Tetlock
Keyword(s):  
Soil Moisture ◽  
Temporal Variability ◽  
Regional Scale ◽  
Spatial And Temporal Variability

Spatial and temporal variability of soil moisture over India using IRS P4 MSMR data

2005 ◽  
Vol 26 (10) ◽  
pp. 2241-2247 ◽  
Author(s):  
R. P. Singh ◽  
D. R. Mishra ◽  
A. K. Sahoo † ◽  
S. Dey
Keyword(s):  
Soil Moisture ◽  
Temporal Variability ◽  
Spatial And Temporal Variability

scholarly journals Controls and characteristics of variability in soil moisture and groundwater in a headwater catchment

2014 ◽  
Vol 11 (8) ◽  
pp. 9475-9517
Author(s):  
H. K. McMillan ◽  
M. S. Srinivasan
Keyword(s):  
Soil Moisture ◽  
Water Content ◽  
Water Table ◽  
Temporal Variability ◽  
Extreme Values ◽  
Stream Water ◽  
Spatial And Temporal Variability ◽  
Multiple Time ◽  
Strong Impact ◽  
Strong Control

Abstract. This paper presents experimental results from a new headwater research catchment in New Zealand. We made distributed measurements of streamflow, soil moisture and groundwater levels, sampling across a range of aspects, hillslope positions, distances from stream and depths. Our aim was to assess the controls, types and implications of spatial and temporal variability in surface and groundwaters. We found that temporal variability is strongly controlled by the seasonal cycle, for both soil moisture and water table, and for both the mean and extremes of the distributions. The standard deviation of both soil moisture and groundwater values calculated per timestep is larger in winter than in summer, and standard deviations typically peak during rainfall events due to partial saturation of the catchment. Controls on the spatial variability differed between the water stores. Aspect had a strong control on groundwater but not on soil moisture, distance from stream controlled both soil moisture and groundwater. The depth of the soil moisture sensor had little impact in terms of mean water content, but a strong impact on the extreme values, i.e. saturation. Co-measurement of soil moisture and water table level variability allowed us to identify variability components that differed between these water stores e.g. patterns of strong response in soil water content were not the same for groundwater level, and those that were consistent e.g. vertical infiltration of summer rainfall through upper and lower soil depths, or rising near-stream water tables through shallow wells to lower soil depths. Signatures of variability were observed in the streamflow series, showing that understanding variability is important for hydrological prediction. Total catchment variability is composed of multiple variability sources. The dominant variability type changes with catchment wetness conditions according to which water stores are active, and in particular those which are close to a threshold such as field capacity or saturation. Our results suggest that the integrative processes that create emergent catchment behaviour should be understood as the sum of these multiple, time varying components.

scholarly journals Spatial and Temporal Variability of Root-Zone Soil Moisture Acquired From Hydrologic Modeling and AirMOSS P-Band Radar

2018 ◽  
Vol 11 (12) ◽  
pp. 4578-4590 ◽  
Author(s):  
Wade T. Crow ◽  
Sushil Milak ◽  
Mahta Moghaddam ◽  
Alireza Tabatabaeenejad ◽  
Sermsak Jaruwatanadilok ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Temporal Variability ◽  
Hydrologic Modeling ◽  
Root Zone ◽  
Spatial And Temporal Variability

scholarly journals Characteristics and controls of variability in soil moisture and groundwater in a headwater catchment

2015 ◽  
Vol 19 (4) ◽  
pp. 1767-1786 ◽  
Author(s):  
H. K. McMillan ◽  
M. S. Srinivasan
Keyword(s):  
Soil Moisture ◽  
Spatial Variability ◽  
Water Table ◽  
Temporal Variability ◽  
Potential Evapotranspiration ◽  
Spatial And Temporal Variability ◽  
Multiple Time ◽  
Runoff Generation ◽  
Dominant Type ◽  
Water Tables

Abstract. Hydrological processes, including runoff generation, depend on the distribution of water in a catchment, which varies in space and time. This paper presents experimental results from a headwater research catchment in New Zealand, where we made distributed measurements of streamflow, soil moisture and groundwater levels, sampling across a range of aspects, hillslope positions, distances from stream and depths. Our aim was to assess the controls, types and implications of spatial and temporal variability in soil moisture and groundwater tables. We found that temporal variability in soil moisture and water table is strongly controlled by the seasonal cycle in potential evapotranspiration, for both the mean and extremes of their distributions. Groundwater is a larger water storage component than soil moisture, and this general difference increases even more with increasing catchment wetness. The spatial standard deviation of both soil moisture and groundwater is larger in winter than in summer. It peaks during rainfall events due to partial saturation of the catchment, and also rises in spring as different locations dry out at different rates. The most important controls on spatial variability in storage are aspect and distance from the stream. South-facing and near-stream locations have higher water tables and showed soil moisture responses for more events. Typical hydrological models do not explicitly account for aspect, but our results suggest that it is an important factor in hillslope runoff generation. Co-measurement of soil moisture and water table level allowed us to identify relationships between the two. Locations where water tables peaked closer to the surface had consistently wetter soils and higher water tables. These wetter sites were the same across seasons. However, patterns of strong soil moisture responses to summer storms did not correspond to the wetter sites. Total catchment spatial variability is composed of multiple variability sources, and the dominant type is sensitive to those stores that are close to a threshold such as field capacity or saturation. Therefore, we classified spatial variability as "summer mode" or "winter mode". In "summer mode", variability is controlled by shallow processes, e.g. interaction of water with soils and vegetation. In "winter mode", variability is controlled by deeper processes, e.g. groundwater movement and bypass flow. Double streamflow peaks observed during some events show the direct impact of groundwater variability on runoff generation. Our results suggest that emergent catchment behaviour depends on the combination of these multiple, time varying components of storage variability.

scholarly journals Characteristic of Soil Moisture in Indonesia Using ESA CCI Satellites Products

2021 ◽  
Vol 53 (1) ◽  
Author(s):  
Fatkhuroyan Fatkhuroyan ◽  
Trinah Wati ◽  
Roni Kurniawan
Keyword(s):  
Soil Moisture ◽  
Time Scales ◽  
Temporal Variability ◽  
Land Surface ◽  
Water Exchange ◽  
Spatial And Temporal Variability

Soil moisture (SM) is one of the energy and water exchange main drivers between the atmosphere and land surface. The study aims to analyze the soil moisture characteristics in Indonesia on monthly and seasonal time scales. The analysis uses mapping of monthly and seasonal ESA CCI SM satellite products of mean daily from 1979 to 2016. The results showed the spatial and temporal variability of SM in Indonesia. Sumatera has SM values > 0.3 m3/m3 almost throughout the year. Besides, Java has SM values > 0.3 m3/m3 from January to April and October to December while 0.2-0.3 m3/m3 from May to September. In Borneo, the SM value > 0.3 m3/m3 from February to June and November to December, while from July to September are 0.2-0.3 m3/m3. Sulawesi has SM values > 0.3 m3/m3 from January to July, on December, and 0.2-0.3 m3/m3 from august to November. Bali to Nusa Tenggara have SM values between 0.2-0.3 m3/m3 throughout the year, except <0.2 m3/m3 in Sumba, Timor Island, and Central Lombok from June to November. Maluku has SM values between 0.2-0.3 m3/m3 throughout the year, while Papua has SM values >0.3 m3/m3 throughout the year, except in Jayawijaya Mountain and South Papua. The ESA CCI SM product is essential for monitoring SM in Indonesia.

Spatial and temporal variability of soil moisture based on multifractal analysis

2018 ◽  
Vol 11 (16) ◽  
Author(s):  
Baisha Weng ◽  
Wuxia Bi ◽  
Zhixuan Zhao ◽  
Ting Xu ◽  
Dengming Yan
Keyword(s):  
Soil Moisture ◽  
Temporal Variability ◽  
Multifractal Analysis ◽  
Spatial And Temporal Variability
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