Published work has shown that GRACE water storage estimates are consistent with water storage observations for many river basins. GRACE data can therefore serve as a proxy for water storage data. In this analysis, we compare estimates of total water storage (TWS) anomalies from the GRACE mission to soil moisture (SM) data from IPCC AR4 simulations for the Mississippi River Basin (MSRB). IPCC models do not carry a TWS variable for direct comparison. Therefore, we use the IPCC models\u27 soil moisture content parameter to compare to the GRACE data, because TWS variability in the mid−latitudes is mostly due to SM variability. GRACE data are thus used to validate hydrological output from IPCC models, and trends are then examined to project...
<p>An accurate estimation of water resources dynamics is crucial for proper management of both agric...
Assessing and quantifying natural water storage is becoming increasingly important as nations develo...
Assessing reliability of global models is critical because of increasing reliance on these models to...
This Thesis is brought to you for free and open access by the Master's Theses and Graduate Rese...
Based on satellite observations of Earth's time variable gravity field from the Gravity Recovery and...
Despite the fact that streamflow occurs mainly due to depletion of storage, our knowledge on how a d...
Abstract. Estimates of terrestrial water storage (TWS) variations from the Gravity Recovery and Cli...
A land surface model’s ability to simulate states (e.g., soil moisture) and fluxes (e.g., runoff) is...
Estimates of terrestrial water storage (TWS) variations from the Gravity Recovery and Climate Experi...
Prolonged hydrologic drought disturbs the natural state of ecosystems, stresses regional water suppl...
Advanced Land Surface Models (LSM) offer a powerful tool for studying hydrological variability. High...
The amount of water stored on continents is an important constraint for water mass and energy exchan...
These research data are associated with the manuscript entitled "Climate-driven prediction of land w...
International audienceIncreasing interest in use of GRACE satellites and a variety of new products t...
This research compares Gravity Recovery and Climate Experiment (GRACE) groundwater storage (GWS) and...
<p>An accurate estimation of water resources dynamics is crucial for proper management of both agric...
Assessing and quantifying natural water storage is becoming increasingly important as nations develo...
Assessing reliability of global models is critical because of increasing reliance on these models to...
This Thesis is brought to you for free and open access by the Master's Theses and Graduate Rese...
Based on satellite observations of Earth's time variable gravity field from the Gravity Recovery and...
Despite the fact that streamflow occurs mainly due to depletion of storage, our knowledge on how a d...
Abstract. Estimates of terrestrial water storage (TWS) variations from the Gravity Recovery and Cli...
A land surface model’s ability to simulate states (e.g., soil moisture) and fluxes (e.g., runoff) is...
Estimates of terrestrial water storage (TWS) variations from the Gravity Recovery and Climate Experi...
Prolonged hydrologic drought disturbs the natural state of ecosystems, stresses regional water suppl...
Advanced Land Surface Models (LSM) offer a powerful tool for studying hydrological variability. High...
The amount of water stored on continents is an important constraint for water mass and energy exchan...
These research data are associated with the manuscript entitled "Climate-driven prediction of land w...
International audienceIncreasing interest in use of GRACE satellites and a variety of new products t...
This research compares Gravity Recovery and Climate Experiment (GRACE) groundwater storage (GWS) and...
<p>An accurate estimation of water resources dynamics is crucial for proper management of both agric...
Assessing and quantifying natural water storage is becoming increasingly important as nations develo...
Assessing reliability of global models is critical because of increasing reliance on these models to...