A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d’appel variable de l’hydrologie du bassin versant

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Evaluation of four supervised learning methods for groundwater spring potential mapping in Khalkhal region (Iran) using GIS-based features

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Delineation of Groundwater Potential Zones (GWPZs) in a Semi-Arid Basin through Remote Sensing, GIS, and AHP Approaches

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Impacts of vegetation and groundwater dynamics on warm season precipitation over the Central United States

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Runoff generation in relation to soil moisture patterns in a small Dartmoor catchment, Southwest England

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Assessment of current passive‐microwave‐ and infrared‐based satellite rainfall remote sensing for flood prediction

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Modelling the effect of the spatial distribution of agricultural practices on nitrogen fluxes in rural catchments

Beaujouan, V., Durand, P., & Ruiz, L. (2001) · Ecological Modelling · doi:10.1016/s0304-3800(00)00435-x · Cited by 126

Drought-Induced Amplification of Saint Louis encephalitis virus , Florida

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Spatial Variability of Soil Phosphorus in Relation to the Topographic Index and Critical Source Areas

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Global‐scale land surface hydrologic modeling with the representation of water table dynamics

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Influence of DEM resolution on drainage network extraction: A multifractal analysis

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Hydrological field data from a modeller's perspective: Part 2: process‐based evaluation of model hypotheses

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Distributed modeling of storm flow generation in an Amazonian rain forest catchment: Effects of model parameterization

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Runoff generation in a steep, soil‐mantled landscape

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Global long term daily 1 km surface soil moisture dataset with physics informed machine learning

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Trend analysis of Landsat-TM and -ETM+ imagery to monitor grazing impact in a rangeland ecosystem in Northern Greece

Röder, A., Udelhoven, T., Hill, J., del Barrio, G., & Tsiourlis, G. M. (2008) · Remote Sensing of Environment · doi:10.1016/j.rse.2008.01.018 · Cited by 124

A GIS tool for cost-effective delineation of flood-prone areas

Samela, C., Albano, R., Sole, A., & Manfreda, S. (2018) · Computers Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2018.01.013 · Cited by 124

Testing a climato-topographic index for predicting wetlands distribution along an European climate gradient

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Coevolution of hydrology and topography on a basalt landscape in the Oregon Cascade Range, USA

Jefferson, A. J., Grant, G. E., Lewis, S. L., & Lancaster, S. T. (2010) · Earth Surface Processes and Landforms · doi:10.1002/esp.1976 · Cited by 128

Rainfall‐Runoff Modeling of Ungauged Catchments

Blöschl, G. (2005) · Encyclopedia of Hydrological Sciences · doi:10.1002/0470848944.hsa140 · Cited by 124

Potential shifts in dominant forest cover in interior Alaska driven by variations in fire severity

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Development of hybrid wavelet packet-statistical models (WP-SM) for landslide susceptibility mapping

Moosavi, V., & Niazi, Y. (2015) · Landslides · doi:10.1007/s10346-014-0547-0 · Cited by 123

Hydrological behaviour of a small catchment in the dehesa landuse system (Extremadura, SW Spain)

Barbancho, A. C., & Schnabel, S. (1998) · Journal of Hydrology · doi:10.1016/s0022-1694(98)00180-2 · Cited by 123

Factors affecting soil moisture spatial variability for a humid forest hillslope

Gwak, Y., & Kim, S. (2016) · Hydrological Processes · doi:10.1002/hyp.11039 · Cited by 123

Artificial neural network ensembles applied to the mapping of landslide susceptibility

Bragagnolo, L., da Silva, R. V., & Grzybowski, J. M. V. (2019) · CATENA · doi:10.1016/j.catena.2019.104240 · Cited by 123

WETCHIMP-WSL: intercomparison of wetland methane emissions models over West Siberia

Bohn, T. J., Melton, J. R., Ito, A., Kleinen, T., Spahni, R., Stocker, B. D., Zhang, B., Zhu, X., Schroeder, R., Glagolev, M. V., et al. (2015) · Biogeosciences · doi:10.5194/bg-12-3321-2015 · Cited by 122

Topographic thresholds in gully development on the hillslopes of communal areas in Ngqushwa Local Municipality, Eastern Cape, South Africa

Kakembo, V., Xanga, W. W., & Rowntree, K. M. (2009) · Geomorphology · doi:10.1016/j.geomorph.2009.04.006 · Cited by 122

High-resolution global topographic index values for use in large-scale hydrological modelling

Marthews, T. R., Dadson, S., Lehner, B., Abele, S., & Gedney, N. (2015) · Hydrology and earth system sciences · doi:10.5194/hess-19-91-2015 · Cited by 122

Landslide Susceptibility Mapping Using Logistic Regression Analysis along the Jinsha River and Its Tributaries Close to Derong and Deqin County, Southwestern China

Sun, X., Chen, J., Bao, Y., Han, X., Zhan, J., & Peng, W. (2018) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi7110438 · Cited by 122

Optimal Combination of Predictors and Algorithms for Forest Above-Ground Biomass Mapping from Sentinel and SRTM Data

Chen, L., Wang, Y., Ren, C., Zhang, B., & Wang, Z. (2019) · Remote Sensing · doi:10.3390/rs11040414 · Cited by 124

A novel flood risk mapping approach with machine learning considering geomorphic and socio-economic vulnerability dimensions

Deroliya, P., Ghosh, M., Mohanty, M. P., Ghosh, S., Rao, K. H. V. D., & Karmakar, S. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.158002 · Cited by 122

Effects of Hydrologic Alterations on the Ecological Quality of River Ecosystems

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Revisiting Hydrologic Sampling Strategies for an Accurate Assessment of Hydrologic Connectivity in Humid Temperate Systems

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Comparison of hydrological model structures based on recession and low flow simulations

Staudinger, M., Stahl, K., Seibert, J., Clark, M., & Tallaksen, L. M. (2011) · Hydrology and earth system sciences · doi:10.5194/hess-15-3447-2011 · Cited by 123

Derivation of critical rainfall thresholds for shallow landslides as a tool for debris flow early warning systems

Papa, M. N., Medina, V., Ciervo, F., & Bateman, A. (2013) · Hydrology and earth system sciences · doi:10.5194/hess-17-4095-2013 · Cited by 121

Assessing the impact of climate variability and human activities on streamflow variation

Chang, J., Zhang, H., Wang, Y., & Zhu, Y. (2016) · Hydrology and earth system sciences · doi:10.5194/hess-20-1547-2016 · Cited by 121

The importance of snow in species distribution models of arctic vegetation

Niittynen, P., & Luoto, M. (2017) · Ecography · doi:10.1111/ecog.03348 · Cited by 119

Flood Hazard Mapping Using Fuzzy Logic, Analytical Hierarchy Process, and Multi-Source Geospatial Datasets

Parsian, S., Amani, M., Moghimi, A., Ghorbanian, A., & Mahdavi, S. (2021) · Remote Sensing · doi:10.3390/rs13234761 · Cited by 121

Propagation of satellite precipitation uncertainties through a distributed hydrologic model: A case study in the Tocantins–Araguaia basin in Brazil

Falck, A. S., Maggioni, V., Tomasella, J., Vila, D. A., & Diniz, F. L. R. (2015) · Journal of Hydrology · doi:10.1016/j.jhydrol.2015.05.042 · Cited by 121

Estimates of Freshwater Discharge from Continents: Latitudinal and Seasonal Variations

Dai, A., & Trenberth, K. E. (2002) · Journal of Hydrometeorology · doi:10.1175/1525-7541(2002)003 · Cited by 1,278

Tracking water pathways in steep hillslopes by δ18O depth profiles of soil water

Mueller, M. H., Alaoui, A., Külls, C., Leistert, H., Meusburger, K. D. B., Stumpp, C., Weiler, M., & Alewell, C. (2014) · Journal of Hydrology · doi:10.1016/j.jhydrol.2014.07.031 · Cited by 121

Long term prospective of the Seine River system: Confronting climatic and direct anthropogenic changes

Ducharne, A., Baubion, C., Beaudoin, N., Benoît, M., Billen, G., Brisson, N. N., Garnier, J. A., Kieken, H., Lebonvallet, S., Ledoux, E., et al. (2007) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2006.12.011 · Cited by 120

DYPTOP: a cost-efficient TOPMODEL implementation to simulate sub-grid spatio-temporal dynamics of global wetlands and peatlands

Stocker, B. D., Spahni, R., & Joos, F. (2014) · Geoscientific model development · doi:10.5194/gmd-7-3089-2014 · Cited by 120

Topographic controls on shallow groundwater levels in a steep, prealpine catchment: When are the TWI assumptions valid?

Rinderer, M., van Meerveld, I., & Seibert, J. (2014) · Water Resources Research · doi:10.1002/2013wr015009 · Cited by 120

Re-examining environmental correlates of Plasmodium falciparum malaria endemicity: a data-intensive variable selection approach

Weiss, D. J., Mappin, B., Dalrymple, U., Bhatt, S., Cameron, E., Hay, S. I., & Gething, P. W. (2015) · Malaria Journal · doi:10.1186/s12936-015-0574-x · Cited by 129

Effects of digital elevation model resolution on derived stream network positions

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Improving soil hydromorphy prediction according to DEM resolution and available pedological data

Chaplot, V. A. M., Walter, C. A., & Curmi, P. (2000) · Geoderma · doi:10.1016/s0016-7061(00)00048-3 · Cited by 120

Representation of landscape variability and lateral redistribution processes for large-scale hydrological modelling in semi-arid areas

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A highly automated algorithm for wetland detection using multi-temporal optical satellite data

Ludwig, C., Walli, A., Schleicher, C., Weichselbaum, J., & Riffler, M. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.01.017 · Cited by 126

Assessment of the performance of GIS-based analytical hierarchical process (AHP) approach for flood modelling in Uttar Dinajpur district of West Bengal, India

Mitra, R., Saha, P., & Das, J. (2022) · Geomatics Natural Hazards and Risk · doi:10.1080/19475705.2022.2112094 · Cited by 119

Characterizing the primary material sources and dominant erosional processes for post-fire debris-flow initiation in a headwater basin using multi-temporal terrestrial laser scanning data

Staley, D. M., Wasklewicz, T. A., & Kean, J. W. (2014) · Geomorphology · doi:10.1016/j.geomorph.2014.02.015 · Cited by 118

Topography alters tree growth–climate relationships in a semi‐arid forested catchment

Adams, H. R., Barnard, H., & Loomis, A. K. (2014) · Ecosphere · doi:10.1890/es14-00296.1 · Cited by 116

Curvature distribution within hillslopes and catchments and its effect on the hydrological response

Bogaart, P. W., & Troch, P. A. (2006) · Hydrology and earth system sciences · doi:10.5194/hess-10-925-2006 · Cited by 118

Extension of the Representative Elementary Watershed approach for cold regions via explicit treatment of energy related processes

Tian, F., Hu, H., Lei, Z., & Sivapalan, M. (2006) · Hydrology and earth system sciences · doi:10.5194/hess-10-619-2006 · Cited by 118

Modelling long term basin scale sediment connectivity, driven by spatial land use changes

Coulthard, T. J., & Wiel, M. J. V. D. (2016) · Geomorphology · doi:10.1016/j.geomorph.2016.05.027 · Cited by 118

From spatially variable streamflow to distributed hydrological models: Analysis of key modeling decisions

Fenicia, F., Kavetski, D., Savenije, H. H. G., & Pfister, L. (2016) · Water Resources Research · doi:10.1002/2015wr017398 · Cited by 118

Identification of conservation and restoration priority areas in the Danube River based on the multi-functionality of river-floodplain systems

Funk, A., Martínez‐López, J., Borgwardt, F., Trauner, D., Bagstad, K. J., Balbi, S., Magrach, A., Villa, F., & Hein, T. I. A. (2018) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2018.10.322 · Cited by 119

Probability of Streamflow Permanence Model (PROSPER): A spatially continuous model of annual streamflow permanence throughout the Pacific Northwest

Jaeger, K. L., Sando, R., McShane, R. R., Dunham, J. B., Hockman-Wert, D. P., Kaiser, K. E., Hafen, K. C., Risley, J. C., & Blasch, K. W. (2018) · Journal of Hydrology X · doi:10.1016/j.hydroa.2018.100005 · Cited by 118

A hydrological model dedicated to topography‐based simulation of nitrogen transfer and transformation: rationale and application to the geomorphology– denitrification relationship

Beaujouan, V., Durand, P., Ruiz, L., Aurousseau, P., & Cotteret, G. (2002) · Hydrological Processes · doi:10.1002/hyp.327 · Cited by 118

Effect of grid size on runoff and soil moisture for a variable‐source‐area hydrology model

Kuo, W., Steenhuis, T. S., McCulloch, C. E., Mohler, C. L., Weinstein, D. A., DeGloria, S. D., & Swaney, D. P. (1999) · Water Resources Research · doi:10.1029/1999wr900183 · Cited by 118

A probabilistic approach for channel initiation

İstanbulluoğlu, E., Tarboton, D. G., Pack, R. T., & Luce, C. H. (2002) · Water Resources Research · doi:10.1029/2001wr000782 · Cited by 117

Climate-CH 4 feedback from wetlands and its interaction with the climate-CO 2 feedback

Ringeval, B., Friedlingstein, P., Koven, C. D., Ciais, P., de Noblet‐Ducoudré, N., Decharme, B., & Cadule, P. (2011) · Biogeosciences · doi:10.5194/bg-8-2137-2011 · Cited by 118

Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India

Saha, S., Roy, J., Arabameri, A., Blaschke, T., & Bui, D. T. (2020) · Sensors · doi:10.3390/s20051313 · Cited by 117

Modeling Water and Soil Redistribution in a Dynamic Landscape Context

Schoorl, J. M., Veldkamp, A., & Bouma, J. (2002) · Soil Science Society of America Journal · doi:10.2136/sssaj2002.1610 · Cited by 117

Impact of the spatial distribution of imperviousness on the hydrologic response of an urbanizing basin

Mejía, A., & Moglen, G. E. (2010) · Hydrological Processes · doi:10.1002/hyp.7755 · Cited by 117

Simulations of snow distribution and hydrology in a mountain basin

Hartman, M. D., Baron, J. S., Lammers, R. B., Cline, D. W., Band, L. E., Liston, G. E., & Tague, C. (1999) · Water Resources Research · doi:10.1029/1998wr900096 · Cited by 117

Improvement of TOPLATS‐based discharge predictions through assimilation of ERS‐based remotely sensed soil moisture values

Pauwels, V. R. N., Hoeben, R., Verhoest, N. E. C., Troch, F. P. D., & Troch, P. (2002) · Hydrological Processes · doi:10.1002/hyp.315 · Cited by 117

Scaling, similarity, and the fourth paradigm for hydrology

Peters‐Lidard, C. D., Clark, M., Samaniego, L., Verhoest, N. E. C., van Emmerik, T. H. M., Uijlenhoet, R., Achieng, K. O., Franz, T. E., & Woods, R. A. (2017) · Hydrology and earth system sciences · doi:10.5194/hess-21-3701-2017 · Cited by 116

Factors controlling seasonal groundwater and solute flux from snow‐dominated basins

Carroll, R. W. H., Bearup, L. A., Brown, W. S., Dong, W., Bill, M., & Willlams, K. H. (2018) · Hydrological Processes · doi:10.1002/hyp.13151 · Cited by 116

Topoclimates, refugia, and biotic responses to climate change

Ackerly, D. D., Kling, M. M., Clark, M. L., Papper, P. D., Oldfather, M. F., Flint, A. L., & Flint, L. E. (2020) · Frontiers in Ecology and the Environment · doi:10.1002/fee.2204 · Cited by 116

Flood Susceptibility Analysis in Chennai Corporation Using Frequency Ratio Model

Natarajan, L., Usha, T., Muthusankar, G., Kasthuri, B. P., Moorthy, P., & Chokkalingam, L. (2021) · Journal of the Indian Society of Remote Sensing · doi:10.1007/s12524-021-01331-8 · Cited by 116

Modelling the hydrologic functions of a karst aquifer under active water management – The Lez spring

Fleury, P., Ladouche, B., Conroux, Y., Jourde, H., & Dörfliger, N. (2008) · Journal of Hydrology · doi:10.1016/j.jhydrol.2008.11.037 · Cited by 116

Hydrogeomorphic properties of simulated drainage patterns using digital elevation models: the flat area issue / Propriétés hydro-géomorphologiques de réseaux de drainage simulés à partir de modèles numériques de terrain: la question des zones planes

Nardi, F., Grimaldi, S., Santini, M., Petroselli‬, A., & Ubertini, L. (2008) · Hydrological Sciences Journal · doi:10.1623/hysj.53.6.1176 · Cited by 115

Landslide susceptibility analysis in central Vietnam based on an incomplete landslide inventory: Comparison of a new method to calculate weighting factors by means of bivariate statistics

Meinhardt, M., Fink, M., & Tünschel, H. (2015) · Geomorphology · doi:10.1016/j.geomorph.2014.12.042 · Cited by 115

Improving the flood prediction capability of the Xinanjiang model in ungauged nested catchments by coupling it with the geomorphologic instantaneous unit hydrograph

Yao, C., Zhang, K., Yu, Z., Li, Z., & Li, Q. (2014) · Journal of Hydrology · doi:10.1016/j.jhydrol.2014.06.037 · Cited by 115

Effect of bedrock permeability on stream base flow mean transit time scaling relations: 1. A multiscale catchment intercomparison

Hale, V. C., & McDonnell, J. J. (2016) · Water Resources Research · doi:10.1002/2014wr016124 · Cited by 115

Machine-learning modelling of fire susceptibility in a forest-agriculture mosaic landscape of southern India

Achu, A. L., Thomas, J., Aju, C. D., Gopinath, G., Kumar, K. S., & Reghunath, R. (2021) · Ecological Informatics · doi:10.1016/j.ecoinf.2021.101348 · Cited by 119

Soil moisture's underestimated role in climate change impact modelling in low‐energy systems

le Roux, P. C., Aalto, J., & Luoto, M. (2013) · Global Change Biology · doi:10.1111/gcb.12286 · Cited by 115

Terrestrial Ecosystems

Tague, C., Band, L. E., & Franklin, J. (2005) · Encyclopedia of Hydrological Sciences · doi:10.1002/0470848944.hsa109 · Cited by 115

Optimization of a similarity measure for estimating ungauged streamflow

Reichl, J. P. C., Western, A. W., McIntyre, N. R., & Chiew, F. H. S. (2009) · Water Resources Research · doi:10.1029/2008wr007248 · Cited by 114

Beyond the SCS‐CN method: A theoretical framework for spatially lumped rainfall‐runoff response

Bartlett, M. S., Parolari, A. J., McDonnell, J. J., & Porporato, A. M. (2016) · Water Resources Research · doi:10.1002/2015wr018439 · Cited by 114

Comparing the Normalized Difference Infrared Index (NDII) with root zone storage in a lumped conceptual model

Sriwongsitanon, N., Gao, H., Savenije, H. H. G., Maekan, E., Saengsawang, S., & Thianpopirug, S. (2016) · Hydrology and earth system sciences · doi:10.5194/hess-20-3361-2016 · Cited by 114

Topographically driven differences in energy and water constrain climatic control on forest carbon sequestration

Swetnam, T. L., Brooks, P. D., Barnard, H., Harpold, A. A., & Gallo, E. L. (2017) · Ecosphere · doi:10.1002/ecs2.1797 · Cited by 114

Forest browning trends in response to drought in a highly threatened mediterranean landscape of South America

Miranda, A., Lara, A., Altamirano, A., Bella, C. D., González, M. E., & Camarero, J. J. (2020) · Ecological Indicators · doi:10.1016/j.ecolind.2020.106401 · Cited by 124

A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level

Gupta, L., & Dixit, J. (2022) · Geocarto International · doi:10.1080/10106049.2022.2060329 · Cited by 114

Progress in the hydrologic simulation of time variant recharge areas of karst systems – Exemplified at a karst spring in Southern Spain

Hartmann, A., Barberá, J. A., Lange, J., Andreo, B., & Weiler, M. (2013) · Advances in Water Resources · doi:10.1016/j.advwatres.2013.01.010 · Cited by 114

Evaluation of current statistical approaches for predictive geomorphological mapping

Luoto, M., & Hjort, J. (2004) · Geomorphology · doi:10.1016/j.geomorph.2004.10.006 · Cited by 114

On the use of real‐time radar rainfall estimates for flood prediction in mountainous basins

Borga, M., Anagnostou, E. N., & Frank, E. (2000) · Journal of Geophysical Research Atmospheres · doi:10.1029/1999jd900270 · Cited by 114

Soil piping and catchment response

Jones, J. A. A. (2010) · Hydrological Processes · doi:10.1002/hyp.7634 · Cited by 114

A comparative analysis of terrain stability models for predicting shallow landslides in colluvial soils

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