Hydrology and Earth System Sciences

Papers
(The H4-Index of Hydrology and Earth System Sciences is 40. 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 2021-07-01 to 2025-07-01.)
ArticleCitations
Feedback mechanisms between precipitation and dissolution reactions across randomly heterogeneous conductivity fields216
Uncertainty in three dimensions: the challenges of communicating probabilistic flood forecast maps190
Combined impacts of climate change and human activities on blue and green water resources in a high-intensity development watershed166
Producing reliable hydrologic scenarios from raw climate model outputs without resorting to meteorological observations136
Spatial variability in the seasonal precipitation lapse rates in complex topographical regions – application in France131
Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods114
Understanding the diurnal cycle of land–atmosphere interactions from flux site observations105
A hydrologist's guide to open science100
Phenophase-based comparison of field observations to satellite-based actual evaporation estimates of a natural woodland: miombo woodland, southern Africa83
Implementation of global soil databases in the Noah-MP model and the effects on simulated mean and extreme soil hydrothermal changes80
Non-asymptotic distributions of water extremes: much ado about what?78
A scalable and modular reservoir implementation for large-scale integrated hydrologic simulations74
Do land models miss key soil hydrological processes controlling soil moisture memory?73
Karst spring recession and classification: efficient, automated methods for both fast- and slow-flow components67
Technical note: Introduction of a superconducting gravimeter as novel hydrological sensor for the Alpine research catchment Zugspitze63
How much water vapour does the Tibetan Plateau release into the atmosphere?61
Skilful probabilistic predictions of UK flood risk months ahead using a large-sample machine learning model trained on multimodel ensemble climate forecasts60
Bias-correcting input variables enhances forecasting of reference crop evapotranspiration57
Extrapolating continuous vegetation water content to understand sub-daily backscatter variations55
Revisiting parameter sensitivities in the variable infiltration capacity model across a hydroclimatic gradient54
Bedrock depth influences spatial patterns of summer baseflow, temperature and flow disconnection for mountainous headwater streams54
Key ingredients in regional climate modelling for improving the representation of typhoon tracks and intensities52
Projecting end-of-century climate extremes and their impacts on the hydrology of a representative California watershed51
Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods: a case study on data from Uccle, Belgium49
Quantifying multi-year hydrological memory with Catchment Forgetting Curves49
Why do our rainfall–runoff models keep underestimating the peak flows?46
Technical note: On uncertainties in plant water isotopic composition following extraction by cryogenic vacuum distillation45
Assessing the dependence structure between oceanographic, fluvial, and pluvial flooding drivers along the United States coastline44
Karst spring discharge modeling based on deep learning using spatially distributed input data44
Multi-scale temporal analysis of evaporation on a saline lake in the Atacama Desert43
Evaluating an Earth system model from a water manager perspective42
Simulating sub-hourly rainfall data for current and future periods using two statistical disaggregation models: case studies from Germany and South Korea42
Can system dynamics explain long-term hydrological behaviors? The role of endogenous linking structure42
Hydrological regime of Sahelian small waterbodies from combined Sentinel-2 MSI and Sentinel-3 Synthetic Aperture Radar Altimeter data42
Machine-learning- and deep-learning-based streamflow prediction in a hilly catchment for future scenarios using CMIP6 GCM data42
Effect of the spatial resolution of digital terrain data obtained by drone on urban fluvial flood modeling of mountainous regions42
Root zone soil moisture in over 25 % of global land permanently beyond pre-industrial variability as early as 2050 without climate policy41
Data worth analysis within a model-free data assimilation framework for soil moisture flow40
Prediction of absolute unsaturated hydraulic conductivity – comparison of four different capillary bundle models40
Flood frequency analysis using mean daily flows vs. instantaneous peak flows40
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