GeoWater Lab @ PKU
Peer-reviewed articles, dissertations, and professional service that reflect our lab’s contributions to global hydrology.
* corresponding author · † GeoWater Lab member
Relative Centroid Index (RCI): A novel scale-independent metric for assessing hydrological distributions across hierarchical river networks.
Water Resources Research
Hidden complexity in reservoir flow regulation revealed by spectral analysis.
Geophysical Research Letters, 53, e2026GL121654
Observation-based spatiotemporal analysis of the evolving flood regulation capacity for the Yangtze River Basin.
Geophysical Research Letters, 53(8), e2025GL120255
Leveraging “SWOT and a-priori information (SWAP)” constrained channel parameters for improved historical river discharge estimates from space.
ISPRS Journal of Photogrammetry and Remote Sensing, 235, 536–550
Human perturbations reshape hydrological responses in riverine systems: Insights from a reach-level quantification framework to the Pearl River Basin.
Sustainable Horizons, 17, 100174
Process diagnostics of snowmelt runoff in global hydrological models: Part I – Model evaluation from the perspective of robustness.
Process diagnostics of snowmelt runoff in global hydrological models: Part II – Are more complex models better?
Flood regulation as a multivariate challenge in the Anthropocene: a systematic modeling approach.
Systematic analyses of meteorological forcing and process parameterization uncertainties in modeling runoff with Noah-MP for the Upper Brahmaputra River Basin.
Fusion sensing for urban resilience.
Natural fluvial connection across watersheds.
The River Experiment Initiative: Advancing Global Surface Water Science for Local Societal Benefits.
Impacts of changes in climate, cryosphere, and vegetation on freshwater supply in the southeastern Tibetan Plateau.
Global daily discharge estimation based on grid long short-term memory (LSTM) model and river routing.
Revisiting At-a-Station Hydraulic Geometry using discharge observations and satellite-derived river widths.
SHIFT: A DEM-based Spatial Heterogeneity Improved Mapping of Global Geomorphic Floodplains.
A synthesis of global streamflow characteristics, hydrometeorology, catchment attributes (GSHA) for large-sample river-centric studies.
Tracking global floodplain urban growth.
Global patterns in river water storage dependent on residence time.
Inversion of river discharge from river width: a critical assessment at three thousand gauges.
Reversal of the levee effect towards sustainable floodplain management.
A global-scale framework for hydropower development incorporating strict environmental constraints.
Assessment of runoff simulation in the Yarlung Zangbo River Basin based on the multi-physics Noah-MP land surface model.
Making China’s water data accessible, usable and shareable.
A framework for estimating global river discharge from Surface Water and Ocean Topography mission observations.
The impact of multi-sensor land data assimilation on river discharge estimation.
Assessing placement bias of the global river gauge network.
The importance of hydrology in routing terrestrial carbon to the atmosphere via global streams and rivers.
RODEO: An algorithm and Google Earth Engine application for river discharge retrieval from Landsat.
A new vector-based global river network dataset accounting for variable drainage density.
Recent changes to Arctic river discharge.
Deforestation-induced warming over tropical mountain regions regulated by elevation.
Combining optical remote sensing, McFLI discharge estimation, global hydrologic modeling, and data assimilation to improve daily discharge estimates.
Reducing solar radiation forcing uncertainty and its impact on surface energy and water fluxes.
Global reach-level 3-hourly river flood reanalysis (1980–2019).
Exploring the factors controlling the error structure of SWOT discharge estimates.
A vector-based river routing model for Earth System Models: Parallelization and global performance.
Ensemble skill gains obtained from multi-physics versus multi-model approaches for continental-scale hydrologic simulations.
Spatiotemporal variability of global river extent and the natural driving factors revealed by decades of Landsat observations, GRACE gravimetry observations, and land surface model simulations.
Global estimates of reach-level bankfull river width leveraging big-data geospatial analysis.
Assimilating multi-satellite snow data in gauged Eurasia improves Asian monsoon seasonal anomaly simulations.
Constraining remote river discharge using reach-scale geomorphology.
Understanding the re-infiltration processes for simulating streamflow in North Central Texas using the WRF-Hydro Modeling System.
Global fully-distributed parameter regionalization based on observed streamflow from 4,229 headwater catchments.
Falsification-oriented signature-based evaluation for enhancing land surface models.
Elevation regulates the biophysical climate impacts of mountain deforestation.
Elucidating diverse drought characteristics using SPI and SPEI in China.
High spatiotemporal resolution mapping of global urban change from 1985 to 2015.
Modeling nitrogen dynamics on regional terrestrial carbon and water cycles over China with Noah-MP-CN.
Global reconstruction of naturalized river flows at 2.94 million reaches.
Enhancing SWOT discharge assimilation through spatiotemporal correlations.
Systematic hydrological evaluation of the Noah-MP land surface model over China.
On the Sensitivity of the Precipitation Partitioning Into Evapotranspiration and Runoff in Land Surface Parameterizations.
Insights into hydrometeorological factors constraining flood prediction skill during major Texas Hill Country floods.
Implementation of a vector-based river network routing model in the community WRF-Hydro system for flood discharge simulation.
Irrigation-induced environmental changes around the Aral Sea: An integrated view from multiple satellite observations.
Spatio-temporal evaluation of simulated evapotranspiration and streamflow over Texas using the WRF-Hydro-RAPID framework.
National Water Center Innovators Program Summer Institute Report.
Snow data assimilation-constrained land initialization improves seasonal temperature prediction.
Development and evaluation of a physically-based lake level model for water resource management: A case study for Lake Buchanan, Texas.