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Assimilation of gridded terrestrial water storage observations from GRACE into a land surface model
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/2012wr012885openalex-snapshot
The spatial scale of model errors and assimilated retrievals in a terrestrial water storage assimilation system
inferredcites →https://doi.org/10.1002/2014gl059323openalex-snapshot
A GRACE‐based water storage deficit approach for hydrological drought characterization
inferredcites →https://doi.org/10.1002/2014gl061052openalex-snapshot
Regional acceleration in ice mass loss from Greenland and Antarctica using GRACE time‐variable gravity data
inferredcites →https://doi.org/10.1002/2014ms000330openalex-snapshot
An updated treatment of soil texture and associated hydraulic properties in a global land modeling system
inferredcites →https://doi.org/10.1002/2014wr016853openalex-snapshot
Global analysis of approaches for deriving total water storage changes from GRACE satellites
inferredcites →https://doi.org/10.1002/hyp.8369openalex-snapshot
Estimating evapotranspiration using an observation based terrestrial water budget
inferredcites →https://doi.org/10.1002/wrcr.20078openalex-snapshot
Groundwater depletion in the Middle East from GRACE with implications for transboundary water management in the Tigris‐Euphrates‐Western Iran region
inferredcites →https://doi.org/10.1007/978-3-540-74703-1_1openalex-snapshot
Data Assimilation and Information
inferredcites →https://doi.org/10.1007/978-94-017-8789-5openalex-snapshot
The Earth's Hydrological Cycle
inferredcites →https://doi.org/10.1007/s10040-006-0103-7openalex-snapshot
Estimating groundwater storage changes in the Mississippi River basin (USA) using GRACE
inferredcites →https://doi.org/10.1007/s10712-014-9309-8openalex-snapshot
Calibration/Data Assimilation Approach for Integrating GRACE Data into the WaterGAP Global Hydrology Model (WGHM) Using an Ensemble Kalman Filter: First Results
inferredcites →https://doi.org/10.1016/j.jhydrol.2012.04.035openalex-snapshot
Assimilation of GRACE terrestrial water storage into a land surface model: Evaluation and potential value for drought monitoring in western and central Europe
inferredcites →https://doi.org/10.1016/j.jhydrol.2014.09.027openalex-snapshot
Evaluation of a model-based groundwater drought indicator in the conterminous U.S.
inferredcites →https://doi.org/10.1016/j.rse.2007.07.001openalex-snapshot
Temporal persistence and stability of surface soil moisture in a semi-arid watershed
inferredcites →https://doi.org/10.1016/j.rse.2014.08.030openalex-snapshot
Using remotely sensed soil moisture for land–atmosphere coupling diagnostics: The role of surface vs. root-zone soil moisture variability
inferredcites →https://doi.org/10.1029/2000jd900327openalex-snapshot
A catchment‐based approach to modeling land surface processes in a general circulation model: 1. Model structure
inferredcites →https://doi.org/10.1029/2000jd900328openalex-snapshot
A catchment‐based approach to modeling land surface processes in a general circulation model: 2. Parameter estimation and model demonstration
inferredcites →https://doi.org/10.1029/2001jb000576openalex-snapshot
Methods for inferring regional surface‐mass anomalies from Gravity Recovery and Climate Experiment (GRACE) measurements of time‐variable gravity
inferredcites →https://doi.org/10.1029/2004gl021908openalex-snapshot
Resolving mass flux at high spatial and temporal resolution using GRACE intersatellite measurements
inferredcites →https://doi.org/10.1029/2005gl024778openalex-snapshot
Evolution of high‐latitude snow mass derived from the GRACE gravimetry mission (2002–2004)
inferredcites →https://doi.org/10.1029/2005gl025285openalex-snapshot
Post‐processing removal of correlated errors in GRACE data
inferredcites →https://doi.org/10.1029/2005gl025305openalex-snapshot
Accuracy of GRACE mass estimates
inferredcites →https://doi.org/10.1029/2006gl026962openalex-snapshot
A comparison of terrestrial water storage variations from GRACE with in situ measurements from Illinois
inferredcites →https://doi.org/10.1029/2006wr005449openalex-snapshot
Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman filter
inferredcites →https://doi.org/10.1029/2007gl030413openalex-snapshot
Retrieving snow mass from GRACE terrestrial water storage change with a land surface model
inferredcites →https://doi.org/10.1029/2009gl040826openalex-snapshot
Global terrestrial water storage capacity and flood potential using GRACE
inferredcites →https://doi.org/10.1029/2009gl041677openalex-snapshot
Contribution of land surface initialization to subseasonal forecast skill: First results from a multi‐model experiment
inferredcites →https://doi.org/10.1029/2009jd013035openalex-snapshot
Multisensor snow data assimilation at the continental scale: The value of Gravity Recovery and Climate Experiment terrestrial water storage information
inferredcites →https://doi.org/10.1029/2011wr011239openalex-snapshot
Assimilation of terrestrial water storage from GRACE in a snow‐dominated basin
inferredcites →https://doi.org/10.1029/2011wr011291openalex-snapshot
Drought indicators based on model‐assimilated Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage observations
inferredcites →https://doi.org/10.1029/2011wr011453openalex-snapshot
Accuracy of scaled GRACE terrestrial water storage estimates
inferredcites →https://doi.org/10.1038/nature08238openalex-snapshot
Satellite-based estimates of groundwater depletion in India
inferredcites →https://doi.org/10.1038/ngeo2203openalex-snapshot
River basin flood potential inferred using GRACE gravity observations at several months lead time
inferredcites →https://doi.org/10.1109/jproc.2010.2043918openalex-snapshot
The Soil Moisture Active Passive (SMAP) Mission
inferredcites →https://doi.org/10.1109/tgrs.2010.2051035openalex-snapshot
Validation of Advanced Microwave Scanning Radiometer Soil Moisture Products
inferredcites →https://doi.org/10.1109/tgrs.2011.2168533openalex-snapshot
Validation of Soil Moisture and Ocean Salinity (SMOS) Soil Moisture Over Watershed Networks in the U.S.
inferredcites →https://doi.org/10.1126/science.1099192openalex-snapshot
GRACE Measurements of Mass Variability in the Earth System
inferredcites →https://doi.org/10.1175/1520-0493(1998)126<1719:asitek>2.0.co;2openalex-snapshot
Analysis Scheme in the Ensemble Kalman Filter
inferredcites →https://doi.org/10.1175/1525-7541(2001)002<0228:tiodsp>2.0.co;2openalex-snapshot
The Impact of Detailed Snow Physics on the Simulation of Snow Cover and Subsurface Thermodynamics at Continental Scales
inferredcites →https://doi.org/10.1175/1525-7541(2003)004<1229:atiohe>2.0.co;2openalex-snapshot
Assessing the Impact of Horizontal Error Correlations in Background Fields on Soil Moisture Estimation
inferredcites →https://doi.org/10.1175/2007jhm951.1openalex-snapshot
Assimilation of GRACE Terrestrial Water Storage Data into a Land Surface Model: Results for the Mississippi River Basin
inferredcites →https://doi.org/10.1175/2007jtecha930.1openalex-snapshot
The USDA Natural Resources Conservation Service Soil Climate Analysis Network (SCAN)
inferredcites →https://doi.org/10.1175/2009jcli2832.1openalex-snapshot
On the Nature of Soil Moisture in Land Surface Models
inferredcites →https://doi.org/10.1175/2009jhm1192.1openalex-snapshot
Satellite-Scale Snow Water Equivalent Assimilation into a High-Resolution Land Surface Model
inferredcites →https://doi.org/10.1175/bams-d-12-00170.1openalex-snapshot
U.S. Climate Reference Network after One Decade of Operations: Status and Assessment
inferredcites →https://doi.org/10.1175/jcli-d-11-00015.1openalex-snapshot
MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications
inferredcites →https://doi.org/10.1175/jhm-d-10-05000.1openalex-snapshot
The Contributions of Precipitation and Soil Moisture Observations to the Skill of Soil Moisture Estimates in a Land Data Assimilation System
inferredcites →https://doi.org/10.1175/jhm-d-14-0087.1openalex-snapshot
A Dynamic Approach to Addressing Observation-Minus-Forecast Bias in a Land Surface Skin Temperature Data Assimilation System
inferredcites →https://doi.org/10.1175/jhm-d-15-0037.1openalex-snapshot
Global Assimilation of Multiangle and Multipolarization SMOS Brightness Temperature Observations into the GEOS-5 Catchment Land Surface Model for Soil Moisture Estimation
inferredcites →https://doi.org/10.1175/jhm-d-15-0157.1openalex-snapshot
Assimilation of Gridded GRACE Terrestrial Water Storage Estimates in the North American Land Data Assimilation System
inferredcites →https://doi.org/10.1256/qj.05.108openalex-snapshot
Diagnosis of observation, background and analysis‐error statistics in observation space
inferredcites →https://doi.org/10.3133/cir1139openalex-snapshot
Ground water and surface water: A single resource
inferredcites →https://doi.org/10.3133/sir20135079openalex-snapshot
Groundwater depletion in the United States (1900−2008)
inferredcites →https://doi.org/10.3189/2013jog12j147openalex-snapshot
Antarctica, Greenland and Gulf of Alaska land-ice evolution from an iterated GRACE global mascon solution
inferredcites →https://doi.org/10.3390/ijgi1010032openalex-snapshot
EASE-Grid 2.0: Incremental but Significant Improvements for Earth-Gridded Data Sets
inferredcites →https://doi.org/10.5194/hess-18-2955-2014openalex-snapshot
A global water cycle reanalysis (2003–2012) merging satellite gravimetry and altimetry observations with a hydrological multi-model ensemble
inferredcites →https://doi.org/10.5194/hess-19-2079-2015openalex-snapshot
Data assimilation of GRACE terrestrial water storage estimates into a regional hydrological model of the Rhine River basin
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4751129openalex-extracted
How Realistic are Multi-Decadal Reconstructions of Grace-Like Total Water Storage Anomalies?
inferred← citeshttps://doi.org/10.1002/2016wr019656openalex-snapshot
Improved modeling of snow and glacier melting by a progressive two‐stage calibration strategy with GRACE and multisource data: How snow and glacier meltwater contributes to the runoff of the U pper B rahmaputra R iver basin?
inferred← citeshttps://doi.org/10.1002/2017gl072994openalex-snapshot
Benefits and pitfalls of GRACE data assimilation: A case study of terrestrial water storage depletion in India
inferred← citeshttps://doi.org/10.1002/2017gl074684openalex-snapshot
Rivers and Floodplains as Key Components of Global Terrestrial Water Storage Variability
inferred← citeshttps://doi.org/10.1002/hyp.14773openalex-snapshot
Multisource remote sensing data facilitate ecohydrological simulations without runoff calibration
inferred← citeshttps://doi.org/10.1002/wrcr.v52.5openalex-snapshot
Smart pilot points using reversible-jump Markov-chain Monte Carlo
inferred← citeshttps://doi.org/10.1007/978-3-030-02197-9_1openalex-snapshot
Integration of GRACE Data for Improvement of Hydrological Models
inferred← citeshttps://doi.org/10.1007/978-3-030-50930-9_24openalex-snapshot
River Freshwater Flux to the Arctic Ocean
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Services from Agroecosystems and Their Quantification
inferred← citeshttps://doi.org/10.1007/978-3-031-59306-2_24openalex-snapshot
Large-Scale Terrestrial Water Storage Changes Sensed by Geodesy
inferred← citeshttps://doi.org/10.1007/978-3-031-59306-2_6openalex-snapshot
The Gravity Recovery and Climate Experiment (GRACE)
inferred← citeshttps://doi.org/10.1007/978-3-031-78768-3_12openalex-snapshot
Unleashing Environmental Intelligence Through AI, Image Processing, and Big Data: Paving the Path to a Sustainable Future
inferred← citeshttps://doi.org/10.1007/s00190-023-01763-9openalex-snapshot
The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model
inferred← citeshttps://doi.org/10.1007/s10040-024-02842-7openalex-snapshot
Detection and socio-economic attribution of groundwater depletion in India
inferred← citeshttps://doi.org/10.1007/s10661-025-14207-yopenalex-snapshot
A holistic overview of the applications of GRACE-observed terrestrial water storage in hydrology and climate science
inferred← citeshttps://doi.org/10.1007/s10712-026-09959-2openalex-snapshot
Uncertainties of GRACE/GRACE-FO Satellite Gravimetry Data and Thereof Derived Products
inferred← citeshttps://doi.org/10.1007/s11053-024-10312-wopenalex-snapshot
Bridging the Temporal Gaps in GRACE/GRACE–FO Terrestrial Water Storage Anomalies over the Major Indian River Basins Using Deep Learning
inferred← citeshttps://doi.org/10.1007/s11600-022-00881-wopenalex-snapshot
Multi-control spatial history of groundwater reservoirs in Pakistan using satellite-driven data
inferred← citeshttps://doi.org/10.1007/s40641-020-00159-7openalex-snapshot
Data Assimilation Improves Estimates of Climate-Sensitive Seasonal Snow
inferred← citeshttps://doi.org/10.1016/b978-0-12-804444-5.00023-4openalex-snapshot
Applications of Data Assimilation in the Geosciences
inferred← citeshttps://doi.org/10.1016/b978-0-12-814899-0.00002-xopenalex-snapshot
Terrestrial water storage
inferred← citeshttps://doi.org/10.1016/b978-0-12-817976-5.00003-6openalex-snapshot
Water balance estimation in Australia through the merging of satellite observations with models
inferred← citeshttps://doi.org/10.1016/b978-0-12-818172-0.00011-6openalex-snapshot
Groundwater drought: environmental controls and monitoring
inferred← citeshttps://doi.org/10.1016/b978-0-12-818172-0.00039-6openalex-snapshot
Applications of Gravity Recovery and Climate Experiment (GRACE) in global groundwater study
inferred← citeshttps://doi.org/10.1016/b978-0-32-391720-9.00029-2openalex-snapshot
Applications of Data Assimilation in the Geosciences
inferred← citeshttps://doi.org/10.1016/j.advwatres.2017.07.024openalex-snapshot
Accounting for spatial correlation errors in the assimilation of GRACE into hydrological models through localization
inferred← citeshttps://doi.org/10.1016/j.advwatres.2018.02.008openalex-snapshot
Determining water storage depletion within Iran by assimilating GRACE data into the W3RA hydrological model
inferred← citeshttps://doi.org/10.1016/j.advwatres.2019.04.004openalex-snapshot
Model-data fusion of hydrologic simulations and GRACE terrestrial water storage observations to estimate changes in water table depth
inferred← citeshttps://doi.org/10.1016/j.advwatres.2020.103528openalex-snapshot
Comparing global hydrological models and combining them with GRACE by dynamic model data averaging (DMDA)
inferred← citeshttps://doi.org/10.1016/j.advwatres.2020.103635openalex-snapshot
Potential future changes of terrestrial water storage based on climate projections by ensemble model simulations
inferred← citeshttps://doi.org/10.1016/j.agrformet.2025.110765openalex-snapshot
Joint assimilation of satellite soil moisture and vegetation conditions improves estimates of gross primary production and evapotranspiration over South Asia
inferred← citeshttps://doi.org/10.1016/j.asr.2024.05.003openalex-snapshot
Estimation of groundwater storage variations in African river basins: Response to global climate change using GRACE and GRACE-FO among past two decades
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Review of assimilating GRACE terrestrial water storage data into hydrological models: Advances, challenges and opportunities
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Assessment and validation of total water storage in the Chesapeake Bay watershed using GRACE
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A dynamical downscaling method of groundwater storage changes using GRACE data
inferred← citeshttps://doi.org/10.1016/j.ejrh.2024.101906openalex-snapshot
Assessing terrestrial water storage variations in Afghanistan using GRACE and FLDAS-Central Asia data
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Contribution of snow water equivalent to the terrestrial water storage changes in High Mountain Asia based on multiple datasets
inferred← citeshttps://doi.org/10.1016/j.gsd.2023.101003openalex-snapshot
Estimation of groundwater level and storage changes using innovative trend analysis (ITA), GRACE data, and google earth engine (GEE)
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Spatio-temporal analysis of hydrometeorological variables for terrestrial and groundwater storage assessment
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A modular open-source suite of notebooks for multi-process hydrological analysis with GEOframe
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Natural and human-induced terrestrial water storage change: A global analysis using hydrological models and GRACE
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Improving hydrological simulations by incorporating GRACE data for model calibration
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.124708openalex-snapshot
Calibrating land hydrological models and enhancing their forecasting skills using an ensemble Kalman filter with one-step-ahead smoothing
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125348openalex-snapshot
Improved water storage estimates within the North China Plain by assimilating GRACE data into the CABLE model
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125744openalex-snapshot
Data assimilation of satellite-based terrestrial water storage changes into a hydrology land-surface model
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2021.126209openalex-snapshot
Spatio-temporal dynamics of hydrologic changes in the Himalayan river basins of Nepal using high-resolution hydrological-hydrodynamic modeling
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2021.127166openalex-snapshot
Monitoring water storage decline over the Middle East
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2021.127197openalex-snapshot
The use of triple collocation approach to merge satellite- and model-based terrestrial water storage for flood potential analysis
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.128096openalex-snapshot
Revising precipitation – water storages – vegetation signatures with GRACE-based data assimilation
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2023.130565openalex-snapshot
A physical/statistical data-fusion for the dynamical downscaling of GRACE data at daily and 1 km resolution
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.132180openalex-snapshot
How realistic are multi-decadal reconstructions of GRACE-like total water storage anomalies?
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.133144openalex-snapshot
Spatial downscaling of GRACE terrestrial water storage anomalies for drought and flood potential assessment
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.134048openalex-snapshot
Anthropogenic processes and sea-level rise contributions with data assimilation of GRACE and GRACE-FO terrestrial water storage
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Assessment of Sentinel-1 C-band SAR snow depth assimilation in operational hydrological modeling of high-alpine catchments
inferred← citeshttps://doi.org/10.1016/j.pce.2022.103297openalex-snapshot
Groundwater storage change estimation using GRACE data and Google Earth Engine: A basin scale study
inferred← citeshttps://doi.org/10.1016/j.rse.2018.06.033openalex-snapshot
Multi-sensor land data assimilation: Toward a robust global soil moisture and snow estimation
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Multi-sensor assimilation of SMOS brightness temperature and GRACE terrestrial water storage observations for soil moisture and shallow groundwater estimation
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The impact of multi-sensor land data assimilation on river discharge estimation
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The application of multi-mission satellite data assimilation for studying water storage changes over South America
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Integrating satellite observations and human water use data to estimate changes in key components of terrestrial water storage in a semi-arid region of North China
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Exploring groundwater and soil water storage changes across the CONUS at 12.5 km resolution by a Bayesian integration of GRACE data into W3RA
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Large spatial variation and stagnation of cropland gross primary production increases the challenges of sustainable grain production and food security in China
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2023.169476openalex-snapshot
Global groundwater droughts are more severe than they appear in hydrological models: An investigation through a Bayesian merging of GRACE and GRACE-FO data with a water balance model
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Assessing daily GRACE Data Assimilation during flood events of the Brahmaputra River Basin
inferred← citeshttps://doi.org/10.1029/2017wr022178openalex-snapshot
Groundwater Withdrawals Under Drought: Reconciling GRACE and Land Surface Models in the United States High Plains Aquifer
inferred← citeshttps://doi.org/10.1029/2017wr022219openalex-snapshot
Estimating Snow Mass in North America Through Assimilation of Advanced Microwave Scanning Radiometer Brightness Temperature Observations Using the Catchment Land Surface Model and Support Vector Machines
inferred← citeshttps://doi.org/10.1029/2017wr022437openalex-snapshot
Satellite Remote Sensing for Water Resources Management: Potential for Supporting Sustainable Development in Data‐Poor Regions
inferred← citeshttps://doi.org/10.1029/2018wr022785openalex-snapshot
Performance of Different Ensemble Kalman Filter Structures to Assimilate GRACE Terrestrial Water Storage Estimates Into a High‐Resolution Hydrological Model: A Synthetic Study
inferred← citeshttps://doi.org/10.1029/2018wr022854openalex-snapshot
Nonparametric Data Assimilation Scheme for Land Hydrological Applications
inferred← citeshttps://doi.org/10.1029/2018wr023333openalex-snapshot
Combining Physically Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn From Mismatch?
inferred← citeshttps://doi.org/10.1029/2018wr024618openalex-snapshot
Global GRACE Data Assimilation for Groundwater and Drought Monitoring: Advances and Challenges
inferred← citeshttps://doi.org/10.1029/2018wr024670openalex-snapshot
On the Use of Adaptive Ensemble Kalman Filtering to Mitigate Error Misspecifications in GRACE Data Assimilation
inferred← citeshttps://doi.org/10.1029/2019ef001456openalex-snapshot
Applying Tipping Point Theory to Remote Sensing Science to Improve Early Warning Drought Signals for Food Security
inferred← citeshttps://doi.org/10.1029/2019jb018468openalex-snapshot
Development of a Daily GRACE Mascon Solution for Terrestrial Water Storage
inferred← citeshttps://doi.org/10.1029/2019wr025363openalex-snapshot
Assimilating GRACE Into a Land Surface Model in the Presence of an Irrigation‐Induced Groundwater Trend
inferred← citeshttps://doi.org/10.1029/2019wr026259openalex-snapshot
Satellite Gravimetry Improves Seasonal Streamflow Forecast Initialization in Africa
inferred← citeshttps://doi.org/10.1029/2020jb019432openalex-snapshot
Comparison of Vertical Surface Deformation Estimates Derived From Space‐Based Gravimetry, Ground‐Based GPS, and Model‐Based Hydrologic Loading Over Snow‐Dominated Watersheds in the United States
inferred← citeshttps://doi.org/10.1029/2020ms002421openalex-snapshot
Improving CLM5.0 Biomass and Carbon Exchange Across the Western United States Using a Data Assimilation System
inferred← citeshttps://doi.org/10.1029/2020rg000715openalex-snapshot
Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis
inferred← citeshttps://doi.org/10.1029/2020wr028666openalex-snapshot
Reconstruction of GRACE Total Water Storage Through Automated Machine Learning
inferred← citeshttps://doi.org/10.1029/2020wr028763openalex-snapshot
Assimilation of Ground‐Based GPS Observations of Vertical Displacement into a Land Surface Model to Improve Terrestrial Water Storage Estimates
inferred← citeshttps://doi.org/10.1029/2020wr028944openalex-snapshot
A Self‐Calibration Variance‐Component Model for Spatial Downscaling of GRACE Observations Using Land Surface Model Outputs
inferred← citeshttps://doi.org/10.1029/2021ea002162openalex-snapshot
Reconstruction of GRACE Mass Change Time Series Using a Bayesian Framework
inferred← citeshttps://doi.org/10.1029/2021wr029880openalex-snapshot
Estimating Terrestrial Snow Mass via Multi‐Sensor Assimilation of Synthetic AMSR‐E Brightness Temperature Spectral Differences and Synthetic GRACE Terrestrial Water Storage Retrievals
inferred← citeshttps://doi.org/10.1029/2023ms004092openalex-snapshot
Benefits and Pitfalls of GRACE and Streamflow Assimilation for Improving the Streamflow Simulations of the WaterGAP Global Hydrology Model
inferred← citeshttps://doi.org/10.1029/2023wr034544openalex-snapshot
Making the Best Use of GRACE, GRACE‐FO and SMAP Data Through a Constrained Bayesian Data‐Model Integration
inferred← citeshttps://doi.org/10.1029/2023wr036764openalex-snapshot
A Monte Carlo Propagation of the Full Variance‐Covariance of GRACE‐Like Level‐2 Data With Applications in Hydrological Data Assimilation and Sea‐Level Budget Studies
inferred← citeshttps://doi.org/10.1029/2024wr037926openalex-snapshot
Reanalysis and Forecasting of Total Water Storage and Hydrological States by Combining Machine Learning With CLM Model Simulations and GRACE Data Assimilation
inferred← citeshttps://doi.org/10.1029/2025wr041710openalex-snapshot
Observation‐Driven Forecast of Global Terrestrial Water Storage and Evaluation for 2010–2024
inferred← citeshttps://doi.org/10.1029/2025wr042324openalex-snapshot
GRACE TWSA Data Assimilation in Land Surface Models‐The Role of State Vector and Model Uncertainty Representation
inferred← citeshttps://doi.org/10.1029/2026jd046517openalex-snapshot
Assimilating GRACE Data for Improved Modeling of the Terrestrial Hydrological Cycle and Its Response to ENSO With the Noah‐MP Multi‐Physics Ensemble
inferred← citeshttps://doi.org/10.1029/2026jd046571openalex-snapshot
Why Does a Shallow Land Model Underestimate the Dryland Drying Trends?
inferred← citeshttps://doi.org/10.1038/s41558-019-0456-2openalex-snapshot
Contributions of GRACE to understanding climate change
inferred← citeshttps://doi.org/10.1038/s41598-020-75710-5openalex-snapshot
Multi-mission satellite remote sensing data for improving land hydrological models via data assimilation
inferred← citeshttps://doi.org/10.1038/s41598-024-75361-wopenalex-snapshot
Methodological evaluation of river discharges derived from remote sensing and land surface models
inferred← citeshttps://doi.org/10.1038/s41598-025-01938-8openalex-snapshot
Space-based natural and human-induced water storage change quantification
inferred← citeshttps://doi.org/10.1038/s41598-025-13602-2openalex-snapshot
An ensemble Kalman filter with rescaling disaggregation for assimilating terrestrial water storage into hydrological models
inferred← citeshttps://doi.org/10.1038/s43247-024-01222-zopenalex-snapshot
Winter snow deficit was a harbinger of summer 2022 socio-hydrologic drought in the Po Basin, Italy
inferred← citeshttps://doi.org/10.1038/s44221-022-00005-0openalex-snapshot
Water cycle science enabled by the GRACE and GRACE-FO satellite missions
inferred← citeshttps://doi.org/10.1073/pnas.2403707121openalex-snapshot
Nonstationarity in the global terrestrial water cycle and its interlinkages in the Anthropocene
inferred← citeshttps://doi.org/10.1080/01431161.2024.2433752openalex-snapshot
Detection and characterization of scale-invariant behaviour and stochastic downscaling of terrestrial water storage anomalies from GRACE and GPS
inferred← citeshttps://doi.org/10.1080/02626667.2021.1896719openalex-snapshot
Application of random forest and multi-linear regression methods in downscaling GRACE derived groundwater storage changes
inferred← citeshttps://doi.org/10.1080/10106049.2025.2482706openalex-snapshot
Advances in GRACE satellite studies on terrestrial water storage: a comprehensive review
inferred← citeshttps://doi.org/10.1080/27669645.2022.2097768openalex-snapshot
A hierarchical Constrained Bayesian (ConBay) approach to jointly estimate water storage and Post-Glacial Rebound from GRACE(-FO) and GNSS data
inferred← citeshttps://doi.org/10.1088/1748-9326/ac2011openalex-snapshot
Drainage canal impacts on smoke aerosol emissions for Indonesian peatland and non-peatland fires
inferred← citeshttps://doi.org/10.1109/jstars.2022.3162228openalex-snapshot
Assimilation of SBAS-InSAR Based Vertical Deformation Into Land Surface Model to Improve the Estimation of Terrestrial Water Storage
inferred← citeshttps://doi.org/10.1109/mgrs.2024.3379108openalex-snapshot
How Big Data Can Help to Monitor the Environment and to Mitigate Risks due to Climate Change: A review
inferred← citeshttps://doi.org/10.1175/bams-d-20-0087.1openalex-snapshot
Advances in Land Surface Models and Indicators for Drought Monitoring and Prediction
inferred← citeshttps://doi.org/10.1175/jhm-d-17-0125.1openalex-snapshot
NCA-LDAS Land Analysis: Development and Performance of a Multisensor, Multivariate Land Data Assimilation System for the National Climate Assessment
inferred← citeshttps://doi.org/10.1175/jhm-d-17-0234.1openalex-snapshot
NCA-LDAS: Overview and Analysis of Hydrologic Trends for the National Climate Assessment
inferred← citeshttps://doi.org/10.1175/jhm-d-19-0096.1openalex-snapshot
GRACE Improves Seasonal Groundwater Forecast Initialization over the United States
inferred← citeshttps://doi.org/10.1175/jhm-d-20-0228.1openalex-snapshot
Global Soil Water Estimates as Landslide Predictor: The Effectiveness of SMOS, SMAP, and GRACE Observations, Land Surface Simulations, and Data Assimilation
inferred← citeshttps://doi.org/10.12974/2311-8741.2020.08.5openalex-snapshot
A Bayesian Neural Network for an Accurate Representation and Transformation of Runoff Dynamics: A Case Study of the Brazos River Basin in Texas
inferred← citeshttps://doi.org/10.20944/preprints201901.0093.v1openalex-snapshot
Monitoring and Forecasting the Impact of the 2018 Summer Heatwave on Vegetation
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4725805/v1openalex-snapshot
Evaluation of river discharges derived from remote sensing and land surface models
inferred← citeshttps://doi.org/10.31223/x5bh7bopenalex-snapshot
A review on how Big Data can help to monitor the environment and to mitigate risks due to climate change
inferred← citeshttps://doi.org/10.3389/frwa.2022.948832openalex-snapshot
Recent advances and opportunities in data assimilation for physics-based hydrological modeling
inferred← citeshttps://doi.org/10.3390/f13101541openalex-snapshot
Terrestrial Water Storage Dynamics: Different Roles of Climate Variability, Vegetation Change, and Human Activities across Climate Zones in China
inferred← citeshttps://doi.org/10.3390/rs10030483openalex-snapshot
Evaluation of Groundwater Storage Variations Estimated from GRACE Data Assimilation and State-of-the-Art Land Surface Models in Australia and the North China Plain
inferred← citeshttps://doi.org/10.3390/rs11050520openalex-snapshot
Monitoring and Forecasting the Impact of the 2018 Summer Heatwave on Vegetation
inferred← citeshttps://doi.org/10.3390/rs13050900openalex-snapshot
Spatiotemporal Downscaling of GRACE Total Water Storage Using Land Surface Model Outputs
inferred← citeshttps://doi.org/10.3390/rs13061223openalex-snapshot
Data Assimilation of Terrestrial Water Storage Observations to Estimate Precipitation Fluxes: A Synthetic Experiment
inferred← citeshttps://doi.org/10.3390/rs14071565openalex-snapshot
Filling Temporal Gaps within and between GRACE and GRACE-FO Terrestrial Water Storage Records: An Innovative Approach
inferred← citeshttps://doi.org/10.3390/rs17081333openalex-snapshot
Downscaling and Gap-Filling GRACE-Based Terrestrial Water Storage Anomalies in the Qinghai–Tibet Plateau Using Deep Learning and Multi-Source Data
inferred← citeshttps://doi.org/10.3390/rs18172909openalex-snapshot
Bias-Aware Machine Learning Spatial Downscaling of GRACE Signals: Application to the Bug River Basin
inferred← citeshttps://doi.org/10.3390/rs9121287openalex-snapshot
Using GRACE Satellite Gravimetry for Assessing Large-Scale Hydrologic Extremes
inferred← citeshttps://doi.org/10.3390/s19143149openalex-snapshot
Sensitivity Analysis of Leakage Correction of GRACE Data in Southwest China Using A-Priori Model Simulations: Inter-Comparison of Spherical Harmonics, Mass Concentration and In Situ Observations
inferred← citeshttps://doi.org/10.3390/su172210100openalex-snapshot
Investigation of Water Storage Dynamics and Delayed Hydrological Responses Using GRACE, GLDAS, ERA5-Land and Meteorological Data in the Kızılırmak River Basin
inferred← citeshttps://doi.org/10.5194/gmd-17-3025-2024openalex-snapshot
The 4DEnVar-based weakly coupled land data assimilation system for E3SM version 2
inferred← citeshttps://doi.org/10.5194/gmd-18-6195-2025openalex-snapshot
PyGLDA: a fine-scale python-based global land data assimilation system for integrating satellite gravity data into hydrological models
inferred← citeshttps://doi.org/10.5194/hess-2022-39-rc1openalex-snapshot
Review of “ Evaluating downscaling methods of GRACE data: a case study over a fractured crystalline aquifer in South India” by Pascal et al.
inferred← citeshttps://doi.org/10.5194/hess-21-2053-2017openalex-snapshot
Improving estimates of water resources in a semi-arid region by assimilating GRACE data into the PCR-GLOBWB hydrological model
inferred← citeshttps://doi.org/10.5194/hess-22-1811-2018openalex-snapshot
On the use of the GRACE normal equation of inter-satellite tracking data for estimation of soil moisture and groundwater in Australia
inferred← citeshttps://doi.org/10.5194/hess-22-4061-2018openalex-snapshot
Understanding terrestrial water storage variations in northern latitudes across scales
inferred← citeshttps://doi.org/10.5194/hess-24-227-2020openalex-snapshot
A framework for deriving drought indicators from the Gravity Recovery and Climate Experiment (GRACE)
inferred← citeshttps://doi.org/10.5194/hess-25-4185-2021openalex-snapshot
Development and evaluation of 0.05° terrestrial water storage estimates using Community Atmosphere Biosphere Land Exchange (CABLE) land surface model and assimilation of GRACE data
inferred← citeshttps://doi.org/10.5194/hess-26-1407-2022openalex-snapshot
Information content of soil hydrology in a west Amazon watershed as informed by GRACE
inferred← citeshttps://doi.org/10.5194/hess-26-4169-2022openalex-snapshot
Evaluating downscaling methods of GRACE (Gravity Recovery and Climate Experiment) data: a case study over a fractured crystalline aquifer in southern India
inferred← citeshttps://doi.org/10.5194/hess-28-2259-2024openalex-snapshot
Leveraging multi-variable observations to reduce and quantify the output uncertainty of a global hydrological model: evaluation of three ensemble-based approaches for the Mississippi River basin
inferred← citeshttps://doi.org/10.5194/hess-28-2375-2024openalex-snapshot
Evaluation of root zone soil moisture products over the Huai River basin
inferred← citeshttps://doi.org/10.5194/hess-30-985-2026openalex-snapshot
A review of current best practices and future directions in assimilating GRACE/-FO terrestrial water storage data into numerical models
inferred← citeshttps://doi.org/10.70675/285ab6f6ze39dz44cbz88b4zcfdbd3320b83openalex-snapshot
Assimilating remote sensing information into a distributed hydrological model for improving water budget predictions
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