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How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions

Environmental research letters, 2019-07, Vol.14 (7), p.73001

2019

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Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites

Water resources research, 2014-02, Vol.50 (2), p.1131-1151

2014

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Global evaluation of new GRACE mascon products for hydrologic applications

Water resources research, 2016-12, Vol.52 (12), p.9412-9429

2016

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The food‐energy‐water nexus: Transforming science for society

Water resources research, 2017-05, Vol.53 (5), p.3550-3556

2017

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Global models underestimate large decadal declining and rising water storage trends relative to GRACE satellite data

Proceedings of the National Academy of Sciences - PNAS, 2018-02, Vol.115 (6), p.E1080-E1089

2018

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GRACE satellite monitoring of large depletion in water storage in response to the 2011 drought in Texas

Geophysical research letters, 2013-07, Vol.40 (13), p.3395-3401

2013

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Energy/water budgets and productivity of the typical croplands irrigated with groundwater and surface water in the North China Plain

Agricultural and forest meteorology, 2013-11, Vol.181, p.133-142

2013

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How much water can be captured from flood flows to store in depleted aquifers for mitigating floods and droughts? A case study from Texas, US

Environmental research letters, 2019-05, Vol.14 (5), p.54011

2019

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Global impacts of conversions from natural to agricultural ecosystems on water resources: Quantity versus quality

Water resources research, 2007-03, Vol.43 (3), p.W03437-n/a

2007

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Deciphering the Role of Total Water Storage Anomalies in Mediating Regional Flooding

Geophysical research letters, 2024-08, Vol.51 (16), p.n/a

2024

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Linkages between GRACE water storage, hydrologic extremes, and climate teleconnections in major African aquifers

Environmental research letters, 2022-01, Vol.17 (1), p.14046

2022

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Effects of climate and irrigation on GRACE-based estimates of water storage changes in major US aquifers

Environmental research letters, 2021-09, Vol.16 (9), p.94009

2021

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Drought and the water-energy nexus in Texas

Environmental research letters, 2013-12, Vol.8 (4), p.45033-14

2013

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Drinking water quality and social vulnerability linkages at the system level in the United States

Environmental research letters, 2023-09, Vol.18 (9), p.94039

2023

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Global synthesis of groundwater recharge in semiarid and arid regions

Hydrological processes, 2006-10, Vol.20 (15), p.3335-3370

2006

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Global analysis of approaches for deriving total water storage changes from GRACE satellites

Water resources research, 2015-04, Vol.51 (4), p.2574-2594

2015

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Elevated arsenic in deeper groundwater of the western Bengal basin, India: Extent and controls from regional to local scale

Applied geochemistry, 2011-04, Vol.26 (4), p.600-613

2011

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Using GRACE Satellite Gravimetry for Assessing Large-Scale Hydrologic Extremes

Remote sensing (Basel, Switzerland), 2017-12, Vol.9 (12), p.1287

2017

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Ecohydrology of water-limited environments: A scientific vision

Water resources research, 2006-06, Vol.42 (6), p.W06302-n/a

2006

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El Niño–Southern Oscillation and Pacific Decadal Oscillation impacts on precipitation in the southern and central United States: Evaluation of spatial distribution and predictions

Water resources research, 2007-10, Vol.43 (10), p.W10427-n/a

2007

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Climate change threatens terrestrial water storage over the Tibetan Plateau

Nature climate change, 2022-08, Vol.12 (9), p.801-807

2022

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Daily gridded meteorological variables in Brazil (1980–2013)

International journal of climatology, 2016-05, Vol.36 (6), p.2644-2659

2016

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The Texas Soil Observation Network:A Comprehensive Soil Moisture Dataset for Remote Sensing and Land Surface Model Validation

Vadose zone journal, 2019, Vol.18 (1), p.1-20

2019

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Reconstruction of GRACE Mass Change Time Series Using a Bayesian Framework

Earth and space science (Hoboken, N.J.), 2022-07, Vol.9 (7), p.e2021EA002162-n/a

2022

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Reconstruction of GRACE Total Water Storage Through Automated Machine Learning

Water resources research, 2021-02, Vol.57 (2), p.n/a

2021

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How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions

Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites

Global evaluation of new GRACE mascon products for hydrologic applications

The food‐energy‐water nexus: Transforming science for society

Global models underestimate large decadal declining and rising water storage trends relative to GRACE satellite data

GRACE satellite monitoring of large depletion in water storage in response to the 2011 drought in Texas

Energy/water budgets and productivity of the typical croplands irrigated with groundwater and surface water in the North China Plain

How much water can be captured from flood flows to store in depleted aquifers for mitigating floods and droughts? A case study from Texas, US

Global impacts of conversions from natural to agricultural ecosystems on water resources: Quantity versus quality

Deciphering the Role of Total Water Storage Anomalies in Mediating Regional Flooding

Linkages between GRACE water storage, hydrologic extremes, and climate teleconnections in major African aquifers

Effects of climate and irrigation on GRACE-based estimates of water storage changes in major US aquifers

Drought and the water-energy nexus in Texas

Drinking water quality and social vulnerability linkages at the system level in the United States

Global synthesis of groundwater recharge in semiarid and arid regions

Global analysis of approaches for deriving total water storage changes from GRACE satellites

Elevated arsenic in deeper groundwater of the western Bengal basin, India: Extent and controls from regional to local scale

Using GRACE Satellite Gravimetry for Assessing Large-Scale Hydrologic Extremes

Ecohydrology of water-limited environments: A scientific vision

El Niño–Southern Oscillation and Pacific Decadal Oscillation impacts on precipitation in the southern and central United States: Evaluation of spatial distribution and predictions

Climate change threatens terrestrial water storage over the Tibetan Plateau

Daily gridded meteorological variables in Brazil (1980–2013)

The Texas Soil Observation Network:A Comprehensive Soil Moisture Dataset for Remote Sensing and Land Surface Model Validation

Reconstruction of GRACE Mass Change Time Series Using a Bayesian Framework

Reconstruction of GRACE Total Water Storage Through Automated Machine Learning

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