OOIR: Observatory of International Research

Papers

(The H4-Index of Hydrology and Earth System Sciences is 41. 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
Evaluation of the ERA5 reanalysis as a potential reference dataset for hydrological modelling over North America	289
Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors	150
The International Soil Moisture Network: serving Earth system science for over a decade	118
Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exoge	114
Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management	112
Rainfall–runoff prediction at multiple timescales with a single Long Short-Term Memory network	110
Urban surface water flood modelling – a comprehensive review of current models and future challenges	92
Concentration–discharge relationships vary among hydrological events, reflecting differences in event characteristics	90
Revisiting the global hydrological cycle: is it intensifying?	87
A standardized index for assessing sub-monthly compound dry and hot conditions with application in China	87
Deep learning methods for flood mapping: a review of existing applications and future research directions	75
Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual models	71
Progressive water deficits during multiyear droughts in basins with long hydrological memory in Chile	68
Uncertainty of simulated groundwater recharge at different global warming levels: a global-scale multi-model ensemble study	66
The 2018 northern European hydrological drought and its drivers in a historical perspective	64
Deep learning rainfall–runoff predictions of extreme events	61
Rapid reduction in ecosystem productivity caused by flash droughts based on decade-long FLUXNET observations	61
Hydrologically informed machine learning for rainfall–runoff modelling: towards distributed modelling	58
Machine-learning methods for stream water temperature prediction	58
A history of TOPMODEL	54
Technical Note: Improved partial wavelet coherency for understanding scale-specific and localized bivariate relationships in geosciences	53
Flood forecasting with machine learning models in an operational framework	53
Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa	51
Comparative analysis of kernel-based versus ANN and deep learning methods in monthly reference evapotranspiration estimation	50
Comparing Palmer Drought Severity Index drought assessments using the traditional offline approach with direct climate model outputs	48

A review of the complementary principle of evaporation: from the original linear relationship to generalized nonlinear functions	48
Quantifying the impacts of compound extremes on agriculture	48
Sentinel-3 radar altimetry for river monitoring – a catchment-scale evaluation of satellite water surface elevation from Sentinel-3A and Sentinel-3B	47
Lake thermal structure drives interannual variability in summer anoxia dynamics in a eutrophic lake over 37 years	47
Future streamflow regime changes in the United States: assessment using functional classification	46
Rainfall estimation from a German-wide commercial microwave link network: optimized processing and validation for 1 year of data	46
Flash drought onset over the contiguous United States: sensitivity of inventories and trends to quantitative definitions	46
Global cotton production under climate change – Implications for yield and water consumption	45
The accuracy of weather radar in heavy rain: a comparative study for Denmark, the Netherlands, Finland and Sweden	45
Two-stage variational mode decomposition and support vector regression for streamflow forecasting	45
In situ measurements of soil and plant water isotopes: a review of approaches, practical considerations and a vision for the future	45
Why does a conceptual hydrological model fail to correctly predict discharge changes in response to climate change?	43
A history of the concept of time of concentration	42
Do small and large floods have the same drivers of change? A regional attribution analysis in Europe	42
Comparison of statistical downscaling methods for climate change impact analysis on precipitation-driven drought	41
High-resolution fully coupled atmospheric–hydrological modeling: a cross-compartment regional water and energy cycle evaluation	41
Compound flood potential from storm surge and heavy precipitation in coastal China: dependence, drivers, and impacts	41
Quantifying the effects of land use and model scale on water partitioning and water ages using tracer-aided ecohydrological models	41
Uncertainty estimation with deep learning for rainfall–runoff modeling	41