OOIR: Observatory of International Research

Papers

(The H4-Index of Water Resources Research is 48. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)

Article	Citations
What Role Does Hydrological Science Play in the Age of Machine Learning?	207
Physics‐Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems	195
Enhancing Streamflow Forecast and Extracting Insights Using Long‐Short Term Memory Networks With Data Integration at Continental Scales	173
Combined Modeling of US Fluvial, Pluvial, and Coastal Flood Hazard Under Current and Future Climates	143
Real‐Time Flood Forecasting Based on a High‐Performance 2‐D Hydrodynamic Model and Numerical Weather Predictions	108
Calibration‐Free Complementary Relationship Estimates Terrestrial Evapotranspiration Globally	91
Assessing the Impacts of Vegetation Greenness Change on Evapotranspiration and Water Yield in China	87
Satellite‐Based Monitoring of Irrigation Water Use: Assessing Measurement Errors and Their Implications for Agricultural Water Management Policy	85
Hydrodynamics, Sediment Transport and Morphological Features at the Confluence Between the Yangtze River and the Poyang Lake	85
The Abuse of Popular Performance Metrics in Hydrologic Modeling	83
Does the Hook Structure Constrain Future Flood Intensification Under Anthropogenic Climate Warming?	80
Comparison of Groundwater Storage Changes From GRACE Satellites With Monitoring and Modeling of Major U.S. Aquifers	74
A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments	74
Comparison of Data‐Driven Techniques to Reconstruct (1992–2002) and Predict (2017–2018) GRACE‐Like Gridded Total Water Storage Changes Using Climate Inputs	73
What Is a Debris Flood?	70
Deep Learning for Daily Precipitation and Temperature Downscaling	70
Challenges in Applying Machine Learning Models for Hydrological Inference: A Case Study for Flooding Events Across Germany	70
Water Use in Global Livestock Production—Opportunities and Constraints for Increasing Water Productivity	69
Investigating the Propagation From Meteorological to Hydrological Drought by Introducing the Nonlinear Dependence With Directed Information Transfer Index	69
Global Groundwater Modeling and Monitoring: Opportunities and Challenges	69
The Effectiveness of the South‐to‐North Water Diversion Middle Route Project on Water Delivery and Groundwater Recovery in North China Plain	68
Variable 21st Century Climate Change Response for Rivers in High Mountain Asia at Seasonal to Decadal Time Scales	66
Extreme Climate Anomalies Enhancing Cyanobacterial Blooms in Eutrophic Lake Taihu, China	66
Drought‐Induced Soil Desiccation Cracking Behavior With Consideration of Basal Friction and Layer Thickness	63
Contrasting Influences of Human Activities on Hydrological Drought Regimes Over China Based on High‐Resolution Simulations	63

Time to Update the Split‐Sample Approach in Hydrological Model Calibration	62
Training Machine Learning Surrogate Models From a High‐Fidelity Physics‐Based Model: Application for Real‐Time Street‐Scale Flood Prediction in an Urban Coastal Community	62
Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years	61
Uncovering Flooding Mechanisms Across the Contiguous United States Through Interpretive Deep Learning on Representative Catchments	61
Transferring Hydrologic Data Across Continents – Leveraging Data‐Rich Regions to Improve Hydrologic Prediction in Data‐Sparse Regions	58
Leak Detection in a Real Transmission Main Through Transient Tests: Deeds and Misdeeds	54
Drought Propagation in Contiguous U.S. Watersheds: A Process‐Based Understanding of the Role of Climate and Watershed Properties	54
Impacts of Urbanization on Watershed Water Balances Across the Conterminous United States	54
Many Commonly Used Rainfall‐Runoff Models Lack Long, Slow Dynamics: Implications for Runoff Projections	54
Using Complex Network Analysis for Optimization of Water Distribution Networks	54
Modeling Water Quality in Watersheds: From Here to the Next Generation	54
Reconstruction of GRACE Total Water Storage Through Automated Machine Learning	53
Assessing the Steady‐State Assumption in Water Balance Calculation Across Global Catchments	53
Forecast Informed Reservoir Operations Using Ensemble Streamflow Predictions for a Multipurpose Reservoir in Northern California	53
On the Use of the Term “Evapotranspiration”	52
Evaluating the Potential and Challenges of an Uncertainty Quantification Method for Long Short‐Term Memory Models for Soil Moisture Predictions	51
Trends in Global Flood and Streamflow Timing Based on Local Water Year	51
Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives	51
Groundwater Storage Loss Associated With Land Subsidence in Western United States Mapped Using Machine Learning	50
Data‐Worth Analysis for Heterogeneous Subsurface Structure Identification With a Stochastic Deep Learning Framework	49
Improved Estimators of Model Performance Efficiency for Skewed Hydrologic Data	49
Estimation of Global Irrigation Water Use by the Integration of Multiple Satellite Observations	49
A State‐of‐the‐Art Review of Optimal Reservoir Control for Managing Conflicting Demands in a Changing World	48
G‐RUN ENSEMBLE: A Multi‐Forcing Observation‐Based Global Runoff Reanalysis	48
How Do Climate and Catchment Attributes Influence Flood Generating Processes? A Large‐Sample Study for 671 Catchments Across the Contiguous USA	48