Groundwater teleconnections is a growing area of research seeking to detect and understand relationships between wide-scale ocean-atmosphere oscillations and groundwater response. Such relationships can yield important predictive information on groundwater variability and extremes for future years or decades. However, due to the complex non-linear relationships between large-scale climate systems and regional to local-scale rainfall, ET and groundwater; detecting wide-scale evidence of such groundwater teleconnections, and their influence on drought and groundwater flooding, has been difficult. Here, we present the biggest groundwater teleconnection study to date, using an improved wavelet-based methodology to (1) quantify the strengt...
Groundwater systems provide an important source of water supply as well as contributing baseflow to ...
The ability to predict future variability of groundwater resources in time and space is of critical ...
There is a need for a better understanding of the heterogeneous spatio-temporal response of aquifers...
Predicting the next major drought is of paramount interest to water managers globally. Estimating th...
Predicting the next major drought is of paramount interest to water managers globally. Estimating th...
Predicting the next major drought is of paramount interest to water managers globally. Estimating th...
The ability to predict future variability of groundwater resources in time and space is of critical ...
The ability to predict future variability of groundwater resources in time and space is of critical ...
Climate signals exhibit periodicity over a range of frequencies (e.g. diurnal, seasonal, annual and ...
Previous approaches to assessing the impact of climate-change scenarios on groundwater levels and gr...
The first comprehensive use of wavelet methods to identify non-stationary time- frequency relations ...
The ability to predict future variability of groundwater resources in time and space is of critical ...
Groundwater is an important source of water for public supply, agricultural irrigation, and indust...
The first comprehensive use of wavelet methods to identify non-stationary time-frequency relations b...
We examine the evidence for climate-change impacts on groundwater levels provided by studies of the ...
Groundwater systems provide an important source of water supply as well as contributing baseflow to ...
The ability to predict future variability of groundwater resources in time and space is of critical ...
There is a need for a better understanding of the heterogeneous spatio-temporal response of aquifers...
Predicting the next major drought is of paramount interest to water managers globally. Estimating th...
Predicting the next major drought is of paramount interest to water managers globally. Estimating th...
Predicting the next major drought is of paramount interest to water managers globally. Estimating th...
The ability to predict future variability of groundwater resources in time and space is of critical ...
The ability to predict future variability of groundwater resources in time and space is of critical ...
Climate signals exhibit periodicity over a range of frequencies (e.g. diurnal, seasonal, annual and ...
Previous approaches to assessing the impact of climate-change scenarios on groundwater levels and gr...
The first comprehensive use of wavelet methods to identify non-stationary time- frequency relations ...
The ability to predict future variability of groundwater resources in time and space is of critical ...
Groundwater is an important source of water for public supply, agricultural irrigation, and indust...
The first comprehensive use of wavelet methods to identify non-stationary time-frequency relations b...
We examine the evidence for climate-change impacts on groundwater levels provided by studies of the ...
Groundwater systems provide an important source of water supply as well as contributing baseflow to ...
The ability to predict future variability of groundwater resources in time and space is of critical ...
There is a need for a better understanding of the heterogeneous spatio-temporal response of aquifers...