| Year |
Citation |
Score |
| 2022 |
West C, Reinecke R, Rosolem R, MacDonald AM, Cuthbert MO, Wagener T. Ground truthing global-scale model estimates of groundwater recharge across Africa. The Science of the Total Environment. 159765. PMID 36309251 DOI: 10.1016/j.scitotenv.2022.159765 |
0.309 |
|
| 2022 |
Bozzolan E, Holcombe EA, Pianosi F, Marchesini I, Alvioli M, Wagener T. A mechanistic approach to include climate change and unplanned urban sprawl in landslide susceptibility maps. The Science of the Total Environment. 159412. PMID 36244475 DOI: 10.1016/j.scitotenv.2022.159412 |
0.41 |
|
| 2020 |
Bozzolan E, Holcombe E, Pianosi F, Wagener T. Including informal housing in slope stability analysis – an application to a data-scarce location in the humid tropics Natural Hazards and Earth System Sciences. 1-20. DOI: 10.5194/Nhess-2020-207 |
0.465 |
|
| 2020 |
Gleeson T, Wagener T, Döll P, Zipper SC, West C, Wada Y, Taylor R, Scanlon B, Rosolem R, Rahman S, Oshinlaja N, Maxwell R, Lo M, Kim H, Hill M, et al. HESS Opinions: Improving the evaluation of groundwater representation in continental to global scale models Hydrology and Earth System Sciences Discussions. 1-39. DOI: 10.5194/Hess-2020-378 |
0.452 |
|
| 2020 |
Coxon G, Addor N, Bloomfield JP, Freer J, Fry M, Hannaford J, Howden NJK, Lane R, Lewis M, Robinson EL, Wagener T, Woods R. CAMELS-GB: Hydrometeorological time series and landscape attributes for 671 catchments in Great Britain Earth System Science Data Discussions. 1-34. DOI: 10.5194/Essd-2020-49 |
0.452 |
|
| 2020 |
Liu Y, Wagener T, Beck HE, Hartmann A. What is the hydrologically effective area of a catchment Environmental Research Letters. DOI: 10.1088/1748-9326/Aba7E5 |
0.31 |
|
| 2020 |
Wang A, Pianosi F, Wagener T. Technical Report - Methods: A diagnostic approach to analyze the direction of change in model outputs based on global variations in the model inputs Water Resources Research. 56. DOI: 10.1029/2020Wr027153 |
0.431 |
|
| 2020 |
Gleeson T, Wang‐Erlandsson L, Porkka M, Zipper SC, Jaramillo F, Gerten D, Fetzer I, Cornell SE, Piemontese L, Gordon LJ, Rockström J, Oki T, Sivapalan M, Wada Y, Brauman KA, ... ... Wagener T, et al. Illuminating water cycle modifications and Earth system resilience in the Anthropocene Water Resources Research. 56. DOI: 10.1029/2019Wr024957 |
0.362 |
|
| 2020 |
Beven K, Asadullah A, Bates P, Blyth E, Chappell N, Child S, Cloke H, Dadson S, Everard N, Fowler HJ, Freer J, Hannah DM, Heppell K, Holden J, Lamb R, ... ... Wagener T, et al. Developing observational methods to drive future hydrological science: Can we make a start as a community? Hydrological Processes. 34: 868-873. DOI: 10.1002/Hyp.13622 |
0.441 |
|
| 2019 |
Noacco V, Sarrazin F, Pianosi F, Wagener T. Matlab/R workflows to assess critical choices in Global Sensitivity Analysis using the SAFE toolbox. Methodsx. 6: 2258-2280. PMID 31667127 DOI: 10.1016/J.Mex.2019.09.033 |
0.391 |
|
| 2019 |
Lane RA, Coxon G, Freer JE, Wagener T, Johnes PJ, Bloomfield JP, Greene S, Macleod CJA, Reaney SM. Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across over 1000 catchments in Great Britain Hydrology and Earth System Sciences. 23: 4011-4032. DOI: 10.5194/Hess-23-4011-2019 |
0.45 |
|
| 2019 |
Coxon G, Freer J, Lane R, Dunne T, Knoben WJM, Howden NJK, Quinn N, Wagener T, Woods R. DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology Geoscientific Model Development. 12: 2285-2306. DOI: 10.5194/Gmd-12-2285-2019 |
0.485 |
|
| 2019 |
Dobson B, Wagener T, Pianosi F. How Important Are Model Structural and Contextual Uncertainties when Estimating the Optimized Performance of Water Resource Systems Water Resources Research. 55: 2170-2193. DOI: 10.1029/2018Wr024249 |
0.342 |
|
| 2019 |
Fan Y, Clark M, Lawrence DM, Swenson S, Band LE, Brantley SL, Brooks PD, Dietrich WE, Flores A, Grant G, Kirchner JW, Mackay DS, McDonnell JJ, Milly PCD, Sullivan PL, ... ... Wagener T, et al. Hillslope Hydrology in Global Change Research and Earth System Modeling Water Resources Research. 55: 1737-1772. DOI: 10.1029/2018Wr023903 |
0.428 |
|
| 2019 |
Wagener T, Pianosi F. What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement and to inform policy-making in earth system modelling Earth-Science Reviews. 194: 1-18. DOI: 10.1016/J.Earscirev.2019.04.006 |
0.4 |
|
| 2019 |
Rahman M, Rosolem R, Kollet S, Wagener T. Towards a computationally efficient free-surface groundwater flow boundary condition for large-scale hydrological modelling Advances in Water Resources. 123: 225-233. DOI: 10.1016/J.Advwatres.2018.11.015 |
0.435 |
|
| 2019 |
Noacco V, Duffy CJ, Wagener T, Worrall F, Fasiolo M, Howden NJK. Drivers of interannual and intra-annual variability of dissolved organic carbon concentration in the River Thames between 1884 and 2013 Hydrological Processes. 33: 994-1012. DOI: 10.1002/Hyp.13379 |
0.395 |
|
| 2018 |
Beltrame L, Dunne T, Vineer HR, Walker JG, Morgan ER, Vickerman P, McCann CM, Williams DJL, Wagener T. A mechanistic hydro-epidemiological model of liver fluke risk. Journal of the Royal Society, Interface. 15. PMID 30158179 DOI: 10.1098/Rsif.2018.0072 |
0.443 |
|
| 2018 |
Sarrazin F, Hartmann A, Pianosi F, Rosolem R, Wagener T. V2Karst V1.1: a parsimonious large-scale integrated vegetation–recharge model to simulate the impact of climate and land cover change in karst regions Geoscientific Model Development. 11: 4933-4964. DOI: 10.5194/Gmd-11-4933-2018 |
0.54 |
|
| 2018 |
Fowler K, Coxon G, Freer J, Peel M, Wagener T, Western A, Woods R, Zhang L. Simulating Runoff Under Changing Climatic Conditions: A Framework for Model Improvement Water Resources Research. 54: 9812-9832. DOI: 10.1029/2018Wr023989 |
0.481 |
|
| 2018 |
Nijzink RC, Almeida S, Pechlivanidis IG, Capell R, Gustafssons D, Arheimer B, Parajka J, Freer J, Han D, Wagener T, Nooijen RRPv, Savenije HHG, Hrachowitz M. Constraining Conceptual Hydrological Models With Multiple Information Sources Water Resources Research. 54: 8332-8362. DOI: 10.1029/2017Wr021895 |
0.468 |
|
| 2018 |
Pianosi F, Wagener T. Distribution-based sensitivity analysis from a generic input-output sample Environmental Modelling and Software. 108: 197-207. DOI: 10.1016/J.Envsoft.2018.07.019 |
0.379 |
|
| 2017 |
Hartmann A, Gleeson T, Wada Y, Wagener T. Enhanced groundwater recharge rates and altered recharge sensitivity to climate variability through subsurface heterogeneity. Proceedings of the National Academy of Sciences of the United States of America. PMID 28242703 DOI: 10.1073/Pnas.1614941114 |
0.463 |
|
| 2017 |
Beven KJ, Aspinall WP, Bates PD, Borgomeo E, Goda K, Hall JW, Page T, Phillips JC, Simpson M, Smith PJ, Wagener T, Watson M. Epistemic uncertainties and natural hazard risk assessment – Part 2: What should constitute good practice? Natural Hazards and Earth System Sciences. 18: 2769-2783. DOI: 10.5194/Nhess-18-2769-2018 |
0.384 |
|
| 2017 |
Chen Z, Hartmann A, Wagener T, Goldscheider N. Dynamics of water fluxes and storages in an Alpine karst catchment under current and potential future climate conditions Hydrology and Earth System Sciences. 22: 3807-3823. DOI: 10.5194/Hess-22-3807-2018 |
0.522 |
|
| 2017 |
Iwema J, Rosolem R, Rahman M, Blyth E, Wagener T. Land surface model performance using cosmic-ray and point-scale soil moisture measurements for calibration Hydrology and Earth System Sciences. 21: 2843-2861. DOI: 10.5194/Hess-21-2843-2017 |
0.355 |
|
| 2017 |
Ward AS, Kelleher CA, Mason SJK, Wagener T, McIntyre N, McGlynn BL, Runkel RL, Payn RA. A software tool to assess uncertainty in transient-storage model parameters using Monte Carlo simulations Freshwater Science. 36: 195-217. DOI: 10.1086/690444 |
0.394 |
|
| 2017 |
Zadeh FK, Nossent J, Sarrazin F, Pianosi F, Griensven Av, Wagener T, Bauwens W. Comparison of variance-based and moment-independent global sensitivity analysis approaches by application to the SWAT model Environmental Modelling and Software. 91: 210-222. DOI: 10.1016/J.Envsoft.2017.02.001 |
0.4 |
|
| 2017 |
Noacco V, Wagener T, Worrall F, Burt TP, Howden NJK. Human impact on long-term organic carbon export to rivers. Journal of Geophysical Research. 122: 947-965. DOI: 10.1002/2016Jg003614 |
0.348 |
|
| 2016 |
Beven KJ, Almeida S, Aspinall WP, Bates PD, Blazkova S, Borgomeo E, Freer J, Goda K, Hall JW, Phillips JC, Simpson M, Smith PJ, Stephenson DB, Wagener T, Watson M, et al. Epistemic uncertainties and natural hazard risk assessment - Part 1:A review of different natural hazard areas Natural Hazards and Earth System Sciences. 18: 2741-2768. DOI: 10.5194/Nhess-18-2741-2018 |
0.381 |
|
| 2016 |
Almeida S, Holcombe EA, Pianosi F, Wagener T. Dealing with deep uncertainties in landslide modelling for disaster risk reduction under climate change Natural Hazards and Earth System Sciences. 17: 225-241. DOI: 10.5194/Nhess-17-225-2017 |
0.519 |
|
| 2016 |
Lamb R, Aspinall W, Odbert H, Wagener T. Vulnerability of bridges to scour: Insights from an international expert elicitation workshop Natural Hazards and Earth System Sciences. 17: 1393-1409. DOI: 10.5194/Nhess-17-1393-2017 |
0.316 |
|
| 2016 |
Kelleher C, McGlynn B, Wagener T. Characterizing and reducing equifinality by constraining a distributed catchment model with regional signatures, local observations, and process understanding Hydrology and Earth System Sciences. 21: 3325-3352. DOI: 10.5194/Hess-21-3325-2017 |
0.437 |
|
| 2016 |
Kuentz A, Arheimer B, Hundecha Y, Wagener T. Understanding hydrologic variability across Europe through catchment classification Hydrology and Earth System Sciences. 21: 2863-2879. DOI: 10.5194/Hess-21-2863-2017 |
0.378 |
|
| 2016 |
Iwema J, Rosolem R, Rahman ASMM, Blyth E, Wagener T. Reducing soil moisture measurement scale mismatch to improve surface energy flux estimation Hydrology and Earth System Sciences Discussions. 1-44. DOI: 10.5194/Hess-2016-558 |
0.347 |
|
| 2016 |
Pachepsky YA, Martinez G, Pan F, Wagener T, Nicholson T. Evaluating Hydrological Model Performance using Information Theory-based Metrics Hydrology and Earth System Sciences Discussions. 1-24. DOI: 10.5194/Hess-2016-46 |
0.401 |
|
| 2016 |
Wood M, Hostache R, Neal J, Wagener T, Giustarini L, Chini M, Corato G, Matgen P, Bates P. Calibration of channel depth and friction parameters in the LISFLOOD-FP hydraulic model using medium resolution SAR data Hydrology and Earth System Sciences Discussions. 1-24. DOI: 10.5194/Hess-2015-511 |
0.338 |
|
| 2016 |
Wood M, Hostache R, Neal J, Wagener T, Giustarini L, Chini M, Corato G, Matgen P, Bates P. Calibration of channel depth and friction parameters in the LISFLOOD-FP hydraulic model using medium resolution SAR data and identifiability techniques Hydrology and Earth System Sciences. 20: 4983-4997. DOI: 10.5194/Hess-20-4983-2016 |
0.343 |
|
| 2016 |
Nijzink R, Hutton C, Pechlivanidis I, Capell R, Arheimer B, Freer J, Han D, Wagener T, McGuire K, Savenije H, Hrachowitz M. The evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change? Hydrology and Earth System Sciences. 20: 4775-4799. DOI: 10.5194/Hess-20-4775-2016 |
0.512 |
|
| 2016 |
Van Loon AF, Stahl K, Di Baldassarre G, Clark J, Rangecroft S, Wanders N, Gleeson T, Van Dijk AIJM, Tallaksen LM, Hannaford J, Uijlenhoet R, Teuling AJ, Hannah DM, Sheffield J, Svoboda M, ... ... Wagener T, et al. Drought in a human-modified world: Reframing drought definitions, understanding, and analysis approaches Hydrology and Earth System Sciences. 20: 3631-3650. DOI: 10.5194/Hess-20-3631-2016 |
0.443 |
|
| 2016 |
Pianosi F, Beven K, Freer J, Hall JW, Rougier J, Stephenson DB, Wagener T. Sensitivity analysis of environmental models: A systematic review with practical workflow Environmental Modelling and Software. 79: 214-232. DOI: 10.1016/J.Envsoft.2016.02.008 |
0.368 |
|
| 2016 |
Sarrazin F, Pianosi F, Wagener T. Global Sensitivity Analysis of environmental models Environmental Modelling and Software. 79: 135-152. DOI: 10.1016/J.Envsoft.2016.02.005 |
0.315 |
|
| 2016 |
Pianosi F, Wagener T. Understanding the time‐varying importance of different uncertainty sources in hydrological modelling using global sensitivity analysis Hydrological Processes. 30: 3991-4003. DOI: 10.1002/Hyp.10968 |
0.477 |
|
| 2016 |
Hutton C, Wagener T, Freer J, Han D, Duffy C, Arheimer B. Most computational hydrology is not reproducible, so is it really science? Water Resources Research. 52: 7548-7555. DOI: 10.1002/2016Wr019285 |
0.335 |
|
| 2016 |
Elshorbagy A, Wagener T, Razavi S, Sauchyn D. Correlation and causation in tree-ring based reconstruction of paleohydrology in cold semiarid regions Water Resources Research. 52: 7053-7069. DOI: 10.1002/2016Wr018985 |
0.38 |
|
| 2016 |
Savage JTS, Pianosi F, Bates P, Freer J, Wagener T. Quantifying the importance of spatial resolution and other factors through global sensitivity analysis of a flood inundation model Water Resources Research. 52: 9146-9163. DOI: 10.1002/2015Wr018198 |
0.467 |
|
| 2016 |
Westerberg IK, Wagener T, Coxon G, McMillan HK, Castellarin A, Montanari A, Freer J. Uncertainty in hydrological signatures for gauged and ungauged catchments Water Resources Research. 52: 1847-1865. DOI: 10.1002/2015Wr017635 |
0.394 |
|
| 2016 |
Archfield SA, Clark M, Arheimer B, Hay LE, Mcmillan H, Kiang JE, Seibert J, Hakala K, Bock A, Wagener T, Farmer WH, Andréassian V, Attinger S, Viglione A, Knight R, et al. Accelerating advances in continental domain hydrologic modeling Water Resources Research. DOI: 10.1002/2015Wr017498 |
0.427 |
|
| 2015 |
Kelleher C, Wagener T, McGlynn B. Model-based analysis of the influence of catchment properties on hydrologic partitioning across five mountain headwater subcatchments. Water Resources Research. 51: 4109-4136. PMID 27642197 DOI: 10.1002/2014Wr016147 |
0.516 |
|
| 2015 |
Coxon G, Freer J, Westerberg IK, Wagener T, Woods R, Smith PJ. A novel framework for discharge uncertainty quantification applied to 500 UK gauging stations. Water Resources Research. 51: 5531-5546. PMID 26924859 DOI: 10.1002/2014Wr016532 |
0.314 |
|
| 2015 |
Beven KJ, Aspinall WP, Bates PD, Borgomeo E, Goda K, Hall JW, Page T, Phillips JC, Rougier JT, Simpson M, Stephenson DB, Smith PJ, Wagener T, Watson M. Epistemic uncertainties and natural hazard risk assessment Part 1: A review of the issues Natural Hazards and Earth System Sciences. 3: 7333-7377. DOI: 10.5194/Nhessd-3-7333-2015 |
0.372 |
|
| 2015 |
Almeida SM, Vine NL, McIntyre N, Wagener T, Buytaert W. Accounting for dependencies in regionalized signatures for predictions in ungauged catchments Hydrology and Earth System Sciences. 20: 887-901. DOI: 10.5194/Hess-20-887-2016 |
0.417 |
|
| 2015 |
Bárdossy A, Huang Y, Wagener T. Simultaneous calibration of hydrological models in geographical space Hydrology and Earth System Sciences. 20: 2913-2928. DOI: 10.5194/Hess-20-2913-2016 |
0.397 |
|
| 2015 |
Iwema J, Rosolem R, Baatz R, Wagener T, Bogena HR. Investigating temporal field sampling strategies for site-specific calibration of three soil moisture-neutron intensity parameterisation methods Hydrology and Earth System Sciences. 19: 3203-3216. DOI: 10.5194/Hess-19-3203-2015 |
0.32 |
|
| 2015 |
Ceola S, Arheimer B, Baratti E, Blöschl G, Capell R, Castellarin A, Freer J, Han D, Hrachowitz M, Hundecha Y, Hutton C, Lindström G, Montanari A, Nijzink R, Parajka J, ... ... Wagener T, et al. Virtual laboratories: New opportunities for collaborative water science Hydrology and Earth System Sciences. 19: 2101-2117. DOI: 10.5194/Hess-19-2101-2015 |
0.342 |
|
| 2015 |
Hartmann A, Gleeson T, Rosolem R, Pianosi F, Wada Y, Wagener T. A large-scale simulation model to assess karstic groundwater recharge over Europe and the Mediterranean Geoscientific Model Development. 8: 1729-1746. DOI: 10.5194/Gmd-8-1729-2015 |
0.516 |
|
| 2015 |
Ruddell BL, Wagener T. Grand challenges for hydrology education in the 21st century Journal of Hydrologic Engineering. 20. DOI: 10.1061/(Asce)He.1943-5584.0000956 |
0.303 |
|
| 2015 |
Yilmaz KK, Gupta HV, Wagener T. A multi-criteria penalty function approach for evaluating a priori model parameter estimates Journal of Hydrology. 525: 165-177. DOI: 10.1016/J.Jhydrol.2015.03.012 |
0.423 |
|
| 2015 |
Pianosi F, Sarrazin F, Wagener T. A Matlab toolbox for Global Sensitivity Analysis Environmental Modelling and Software. 70: 80-85. DOI: 10.1016/J.Envsoft.2015.04.009 |
0.335 |
|
| 2015 |
Pianosi F, Wagener T. A simple and efficient method for global sensitivity analysis based onźcumulative distribution functions Environmental Modelling and Software. 67: 1-11. DOI: 10.1016/J.Envsoft.2015.01.004 |
0.347 |
|
| 2015 |
Gunkel A, Shadeed S, Hartmann A, Wagener T, Lange J. Model signatures and aridity indices enhance the accuracy of water balance estimations in a data-scarce Eastern Mediterranean catchment Journal of Hydrology: Regional Studies. 4: 487-501. DOI: 10.1016/J.Ejrh.2015.08.002 |
0.479 |
|
| 2015 |
Hartmann AJ, Mudarra M, Marín A, Andreo B, Wagener T. Relating land surface information and model parameters for a karst system in southern Spain Environmental Earth Sciences. 1: 345-352. DOI: 10.1007/978-3-642-17435-3_39 |
0.377 |
|
| 2014 |
Ehret U, Gupta HV, Sivapalan M, Weijs SV, Schymanski SJ, Blöschl G, Gelfan AN, Harman C, Kleidon A, Bogaard TA, Wang D, Wagener T, Scherer U, Zehe E, Bierkens MFP, et al. Advancing catchment hydrology to deal with predictions under change Hydrology and Earth System Sciences. 18: 649-671. DOI: 10.5194/Hess-18-649-2014 |
0.43 |
|
| 2014 |
Sawicz KA, Kelleher C, Wagener T, Troch P, Sivapalan M, Carrillo G. Characterizing hydrologic change through catchment classification Hydrology and Earth System Sciences. 18: 273-285. DOI: 10.5194/Hess-18-273-2014 |
0.79 |
|
| 2014 |
Hartmann A, Gleeson T, Rosolem R, Pianosi F, Wada Y, Wagener T. A simulation model to assess groundwater recharge over Europe's karst regions Geoscientific Model Development Discussions. 7: 7887-7935. DOI: 10.5194/Gmdd-7-7887-2014 |
0.343 |
|
| 2014 |
McIntyre N, Ballard C, Bruen M, Bulygina N, Buytaert W, Cluckie I, Dunn S, Ehret U, Ewen J, Gelfan A, Hess T, Hughes D, Jackson B, Kjeldsen TR, Merz R, ... ... Wagener T, et al. Modelling the hydrological impacts of rural land use change Hydrology Research. 45: 737-754. DOI: 10.2166/Nh.2013.145 |
0.485 |
|
| 2014 |
Singh R, Werkhoven Kv, Wagener T. Hydrological impacts of climate change in gauged and ungauged watersheds of the Olifants basin: a trading-space-for-time approach Hydrological Sciences Journal-Journal Des Sciences Hydrologiques. 59: 29-55. DOI: 10.1080/02626667.2013.819431 |
0.682 |
|
| 2014 |
Singh R, Archfield SA, Wagener T. Identifying dominant controls on hydrologic parameter transfer from gauged to ungauged catchments – A comparative hydrology approach Journal of Hydrology. 517: 985-996. DOI: 10.1016/J.Jhydrol.2014.06.030 |
0.659 |
|
| 2014 |
Butler MP, Reed PM, Fisher-Vanden K, Keller K, Wagener T. Identifying parametric controls and dependencies in integrated assessment models using global sensitivity analysis Environmental Modelling and Software. 59: 10-29. DOI: 10.1016/J.Envsoft.2014.05.001 |
0.476 |
|
| 2014 |
Massmann C, Wagener T, Holzmann H. Short communication: A new approach to visualizing time-varying sensitivity indices for environmental model diagnostics across evaluation time-scales Environmental Modelling and Software. 51: 190-194. DOI: 10.1016/J.Envsoft.2013.09.033 |
0.413 |
|
| 2014 |
Butler MP, Reed PM, Fisher-Vanden K, Keller K, Wagener T. Inaction and climate stabilization uncertainties lead to severe economic risks Climatic Change. 127: 463-474. DOI: 10.1007/S10584-014-1283-0 |
0.395 |
|
| 2014 |
Tsai CY, Forest CE, Wagener T. Estimating the regional climate responses over river basins to changes in tropical sea surface temperature patterns Climate Dynamics. 45: 1965-1982. DOI: 10.1007/S00382-014-2449-1 |
0.496 |
|
| 2014 |
Coxon G, Freer JE, Wagener T, Odoni NA, Clark M. Diagnostic evaluation of multiple hypotheses of hydrological behaviour in a limits-of-acceptability framework for 24 UK catchments Hydrological Processes. 28: 6135-6150. DOI: 10.1002/Hyp.10096 |
0.495 |
|
| 2014 |
Hartmann AJ, Mudarra M, Andreo B, Marín A, Wagener T, Lange J. Modeling spatiotemporal impacts of hydroclimatic extremes on groundwater recharge at a Mediterranean karst aquifer Water Resources Research. 50: 6507-6521. DOI: 10.1002/2014Wr015685 |
0.491 |
|
| 2014 |
Singh R, Wagener T, Crane R, Mann ME, Ning L. A vulnerability driven approach to identify adverse climate and land use change combinations for critical hydrologic indicator thresholds: Application to a watershed in Pennsylvania, USA Water Resources Research. 50: 3409-3427. DOI: 10.1002/2013Wr014988 |
0.679 |
|
| 2014 |
Hartmann A, Goldscheider N, Wagener T, Lange J, Weiler M. Karst water resources in a changing world: Review of hydrological modeling approaches Reviews of Geophysics. 52: 218-242. DOI: 10.1002/2013Rg000443 |
0.424 |
|
| 2013 |
Sawicz KA, Kelleher C, Wagener T, Troch P, Sivapalan M, Carrillo G. Technical Note: Characterizing hydrologic change through catchment classification Hydrology and Earth System Sciences Discussions. 10: 6599-6627. DOI: 10.5194/Hessd-10-6599-2013 |
0.792 |
|
| 2013 |
Herman JD, Kollat JB, Reed PM, Wagener T. From maps to movies: High-resolution time-varying sensitivity analysis for spatially distributed watershed models Hydrology and Earth System Sciences. 17: 5109-5125. DOI: 10.5194/Hess-17-5109-2013 |
0.449 |
|
| 2013 |
Hartmann A, Weiler M, Wagener T, Lange J, Kralik M, Humer F, Mizyed N, Rimmer A, Barberá JA, Andreo B, Butscher C, Huggenberger P. Process-based karst modelling to relate hydrodynamic and hydrochemical characteristics to system properties Hydrology and Earth System Sciences. 17: 3505-3521. DOI: 10.5194/Hess-17-3305-2013 |
0.484 |
|
| 2013 |
Herman JD, Kollat JB, Reed PM, Wagener T. Technical Note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models Hydrology and Earth System Sciences. 17: 2893-2903. DOI: 10.5194/Hess-17-2893-2013 |
0.422 |
|
| 2013 |
Troch PA, Carrillo G, Sivapalan M, Wagener T, Sawicz K. Climate-vegetation-soil interactions and long-term hydrologic partitioning: Signatures of catchment co-evolution Hydrology and Earth System Sciences. 17: 2209-2217. DOI: 10.5194/Hess-17-2209-2013 |
0.788 |
|
| 2013 |
O'Loughlin F, Bruen M, Wagener T. Parameter sensitivity of a watershed-scale flood forecasting model as a function of modelling time-step Hydrology Research. 44: 334-350. DOI: 10.2166/Nh.2012.157 |
0.435 |
|
| 2013 |
Shoaib SA, Bárdossy A, Wagener T, Huang Y, Sultana N. A Different Light in Predicting Ungauged Basins： Regionalization Approach Based on Eastern USA Catchments Journal of Civil Engineering and Architecture. 7: 364-378. DOI: 10.17265/1934-7359/2013.03.012 |
0.426 |
|
| 2013 |
Montanari A, Young G, Savenije HHG, Hughes D, Wagener T, Ren LL, Koutsoyiannis D, Cudennec C, Toth E, Grimaldi S, Blöschl G, Sivapalan M, Beven K, Gupta H, Hipsey M, et al. "Panta Rhei-Everything Flows": Change in hydrology and society-The IAHS Scientific Decade 2013-2022 Hydrological Sciences Journal. 58: 1256-1275. DOI: 10.1080/02626667.2013.809088 |
0.42 |
|
| 2013 |
Almeida S, Bulygina N, McIntyre N, Wagener T, Buytaert W. Improving parameter priors for data-scarce estimation problems Water Resources Research. 49: 6090-6095. DOI: 10.1002/Wrcr.20437 |
0.403 |
|
| 2013 |
Kelleher C, Wagener T, McGlynn B, Ward AS, Gooseff MN, Payn RA. Identifiability of transient storage model parameters along a mountain stream Water Resources Research. 49: 5290-5306. DOI: 10.1002/Wrcr.20413 |
0.395 |
|
| 2013 |
Hartmann A, Wagener T, Rimmer A, Lange J, Brielmann H, Weiler M. Testing the realism of model structures to identify karst system processes using water quality and quantity signatures Water Resources Research. 49: 3345-3358. DOI: 10.1002/Wrcr.20229 |
0.448 |
|
| 2013 |
Ward AS, Payn RA, Gooseff MN, McGlynn BL, Bencala KE, Kelleher CA, Wondzell SM, Wagener T. Variations in surface water-ground water interactions along a headwater mountain stream: Comparisons between transient storage and water balance analyses Water Resources Research. 49: 3359-3374. DOI: 10.1002/Wrcr.20148 |
0.385 |
|
| 2013 |
Herman JD, Reed PM, Wagener T. Time-varying sensitivity analysis clarifies the effects of watershed model formulation on model behavior Water Resources Research. 49: 1400-1414. DOI: 10.1002/Wrcr.20124 |
0.468 |
|
| 2013 |
Wlostowski AN, Gooseff MN, Wagener T. Influence of constant rate versus slug injection experiment type on parameter identifiability in a 1-D transient storage model for stream solute transport Water Resources Research. 49: 1184-1188. DOI: 10.1002/Wrcr.20103 |
0.356 |
|
| 2013 |
Voltz T, Gooseff M, Ward AS, Singha K, Fitzgerald M, Wagener T. Riparian hydraulic gradient and stream-groundwater exchange dynamics in steep headwater valleys Journal of Geophysical Research: Earth Surface. 118: 953-969. DOI: 10.1002/Jgrf.20074 |
0.425 |
|
| 2012 |
Wagener T, Kelleher C, Weiler M, McGlynn B, Gooseff M, Marshall L, Meixner T, McGuire K, Gregg S, Sharma P, Zappe S. It takes a community to raise a hydrologist: The Modular Curriculum for Hydrologic Advancement (MOCHA) Hydrology and Earth System Sciences. 16: 3405-3418. DOI: 10.5194/Hess-16-3405-2012 |
0.309 |
|
| 2012 |
Ning L, Mann ME, Crane R, Wagener T, Najjar RG, Singh R. Probabilistic projections of anthropogenic climate change impacts on precipitation for the mid-Atlantic region of the United States Journal of Climate. 25: 5273-5291. DOI: 10.1175/Jcli-D-11-00565.1 |
0.662 |
|
| 2012 |
Ning L, Mann ME, Crane R, Wagener T. Probabilistic projections of climate change for the mid-Atlantic region of the United States: Validation of precipitation downscaling during the historical era Journal of Climate. 25: 509-526. DOI: 10.1175/2011Jcli4091.1 |
0.45 |
|
| 2012 |
Martin EH, Kelleher C, Wagener T. Has urbanization changed ecological streamflow characteristics in Maine (USA)? Hydrological Sciences Journal. 57: 1337-1354. DOI: 10.1080/02626667.2012.707318 |
0.343 |
|
| 2012 |
Kapangaziwiri E, Hughes DA, Wagener T. Incorporating uncertainty in hydrological predictions for gauged and ungauged basins in southern Africa Hydrological Sciences Journal. 57: 1000-1019. DOI: 10.1080/02626667.2012.690881 |
0.468 |
|
| 2012 |
Kollat JB, Reed PM, Wagener T. When are multiobjective calibration trade-offs in hydrologic models meaningful? Water Resources Research. 48. DOI: 10.1029/2011Wr011534 |
0.443 |
|
| 2012 |
Gudmundsson L, Wagener T, Tallaksen LM, Engeland K. Evaluation of nine large-scale hydrological models with respect to the seasonal runoff climatology in Europe Water Resources Research. 48: 11504. DOI: 10.1029/2011Wr010911 |
0.468 |
|
| 2011 |
Singh R, Wagener T, Werkhoven Kv, Mann M, Crane R. A trading-space-for-time approach to probabilistic continuous streamflow predictions in a changing climate Hydrology and Earth System Sciences Discussions. 8: 6385-6417. DOI: 10.5194/Hessd-8-6385-2011 |
0.62 |
|
| 2011 |
Singh R, Wagener T, Van Werkhoven K, Mann ME, Crane R. A trading-space-for-time approach to probabilistic continuous streamflow predictions in a changing climate-accounting for changing watershed behavior Hydrology and Earth System Sciences. 15: 3591-3603. DOI: 10.5194/Hess-15-3591-2011 |
0.709 |
|
| 2011 |
Carrillo G, Troch PA, Sivapalan M, Wagener T, Harman C, Sawicz K. Catchment classification: hydrological analysis of catchment behavior through process-based modeling along a climate gradient Hydrology and Earth System Sciences. 15: 3411-3430. DOI: 10.5194/Hess-15-3411-2011 |
0.808 |
|
| 2011 |
Sawicz K, Wagener T, Sivapalan M, Troch PA, Carrillo G. Catchment classification: Empirical analysis of hydrologic similarity based on catchment function in the eastern USA Hydrology and Earth System Sciences. 15: 2895-2911. DOI: 10.5194/Hess-15-2895-2011 |
0.793 |
|
| 2011 |
Wagener T, Montanari A. Convergence of approaches toward reducing uncertainty in predictions in ungauged basins Water Resources Research. 47. DOI: 10.1029/2010Wr009469 |
0.479 |
|
| 2011 |
Kelleher C, Wagener T, Gooseff M, McGlynn B, McGuire K, Marshall L. Investigating controls on the thermal sensitivity of Pennsylvania streams Hydrological Processes. 26: 771-785. DOI: 10.1002/Hyp.8186 |
0.35 |
|
| 2010 |
Wagener T, Sivapalan M, Troch PA, McGlynn BL, Harman CJ, Gupta HV, Kumar P, Rao PSC, Basu NB, Wilson JS. The future of hydrology: An evolving science for a changing world Water Resources Research. 46. DOI: 10.1029/2009Wr008906 |
0.459 |
|
| 2010 |
Rosero E, Yang ZL, Wagener T, Gulden LE, Yatheendradas S, Niu GY. Quantifying parameter sensitivity, interaction, and transferability in hydrologically enhanced versions of the noah land surface model over transition zones during the warm season Journal of Geophysical Research Atmospheres. 115. DOI: 10.1029/2009Jd012035 |
0.429 |
|
| 2009 |
Wagener T, Reed P, van Werkhoven K, Tang Y, Zhang Z. Advances in the identification and evaluation of complex environmental systems models Journal of Hydroinformatics. 11: 266-281. DOI: 10.2166/Hydro.2009.040 |
0.435 |
|
| 2009 |
Wagener T, van Werkhoven K, Reed P, Tang Y. Multiobjective sensitivity analysis to understand the information content in streamflow observations for distributed watershed modeling Water Resources Research. 45. DOI: 10.1029/2008Wr007347 |
0.449 |
|
| 2009 |
Bai Y, Wagener T, Reed P. A top-down framework for watershed model evaluation and selection under uncertainty Environmental Modelling & Software. 24: 901-916. DOI: 10.1016/J.Envsoft.2008.12.012 |
0.467 |
|
| 2009 |
Mahmoud M, Liu Y, Hartmann H, Stewart S, Wagener T, Semmens D, Stewart R, Gupta H, Dominguez D, Dominguez F, Hulse D, Letcher R, Rashleigh B, Smith C, Street R, et al. A formal framework for scenario development in support of environmental decision-making Environmental Modelling and Software. 24: 798-808. DOI: 10.1016/J.Envsoft.2008.11.010 |
0.349 |
|
| 2009 |
van Werkhoven K, Wagener T, Reed P, Tang Y. Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models Advances in Water Resources. 32: 1154-1169. DOI: 10.1016/J.Advwatres.2009.03.002 |
0.477 |
|
| 2008 |
Zhang Z, Wagener T, Reed P, Bhushan R. Reducing uncertainty in predictions in ungauged basins by combining hydrologic indices regionalization and multiobjective optimization Water Resources Research. 44. DOI: 10.1029/2008Wr006833 |
0.459 |
|
| 2008 |
van Werkhoven K, Wagener T, Reed P, Tang Y. Rainfall characteristics define the value of streamflow observations for distributed watershed model identification Geophysical Research Letters. 35. DOI: 10.1029/2008Gl034162 |
0.43 |
|
| 2008 |
Gulden LE, Rosero E, Yang ZL, Wagener T, Niu GY. Model performance, model robustness, and model fitness scores: A new method for identifying good land-surface models Geophysical Research Letters. 35. DOI: 10.1029/2008Gl033721 |
0.45 |
|
| 2008 |
Clark MP, Slater AG, Rupp DE, Woods RA, Vrugt JA, Gupta HV, Wagener T, Hay LE. Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models Water Resources Research. 44. DOI: 10.1029/2007Wr006735 |
0.418 |
|
| 2008 |
Yilmaz KK, Gupta HV, Wagener T. A process-based diagnostic approach to model evaluation: Application to the NWS distributed hydrologic model Water Resources Research. 44. DOI: 10.1029/2007Wr006716 |
0.484 |
|
| 2008 |
Pokhrel P, Gupta HV, Wagener T. A spatial regularization approach to parameter estimation for a distributed watershed model Water Resources Research. 44. DOI: 10.1029/2007Wr006615 |
0.419 |
|
| 2008 |
van Werkhoven K, Wagener T, Reed P, Tang Y. Characterization of watershed model behavior across a hydroclimatic gradient Water Resources Research. 44. DOI: 10.1029/2007Wr006271 |
0.482 |
|
| 2008 |
Yatheendradas S, Wagener T, Gupta H, Unkrich C, Goodrich D, Schaffner M, Stewart A. Understanding uncertainty in distributed flash flood forecasting for semiarid regions Water Resources Research. 44. DOI: 10.1029/2007Wr005940 |
0.5 |
|
| 2008 |
Liu Y, Mahmoud M, Hartmann H, Stewart S, Wagener T, Semmens D, Stewart R, Gupta H, Dominguez D, Hulse D, Letcher R, Rashleigh B, Smith C, Street R, Ticehurst J, et al. Formal Scenario Development for Environmental Impact Assessment Studies Developments in Integrated Environmental Assessment. 3: 145-162. DOI: 10.1016/S1574-101X(08)00609-1 |
0.446 |
|
| 2008 |
Crout N, Kokkonen T, Jakeman AJ, Norton JP, Newham LTH, Anderson R, Assaf H, Croke BFW, Gaber N, Gibbons J, Holzworth D, Mysiak J, Reichl J, Seppelt R, Wagener T, et al. Chapter Two Good Modelling Practice Developments in Integrated Environmental Assessment. 3: 15-31. DOI: 10.1016/S1574-101X(08)00602-9 |
0.382 |
|
| 2008 |
Liu Y, Gupta H, Springer E, Wagener T. Linking science with environmental decision making: Experiences from an integrated modeling approach to supporting sustainable water resources management Environmental Modelling and Software. 23: 846-858. DOI: 10.1016/J.Envsoft.2007.10.007 |
0.345 |
|
| 2008 |
Gupta HV, Wagener T, Liu Y. Reconciling theory with observations: Elements of a diagnostic approach to model evaluation Hydrological Processes. 22: 3802-3813. DOI: 10.1002/Hyp.6989 |
0.375 |
|
| 2007 |
Tang Y, Reed P, Wagener T, van Werkhoven K. Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation Hydrology and Earth System Sciences. 11: 793-817. DOI: 10.5194/Hess-11-793-2007 |
0.397 |
|
| 2007 |
Wagener T, Sivapalan M, Troch P, Woods R. Catchment Classification and Hydrologic Similarity Geography Compass. 1: 901-931. DOI: 10.1111/J.1749-8198.2007.00039.X |
0.469 |
|
| 2007 |
Tang Y, Reed P, van Werkhoven K, Wagener T. Advancing the identification and evaluation of distributed rainfall-runoff models using global sensitivity analysis Water Resources Research. 43. DOI: 10.1029/2006Wr005813 |
0.45 |
|
| 2007 |
Demaria EM, Nijssen B, Wagener T. Monte Carlo sensitivity analysis of land surface parameters using the Variable Infiltration Capacity model Journal of Geophysical Research Atmospheres. 112. DOI: 10.1029/2006Jd007534 |
0.473 |
|
| 2007 |
Wagener T, Kollat J. Numerical and visual evaluation of hydrological and environmental models using the Monte Carlo analysis toolbox Environmental Modelling and Software. 22: 1021-1033. DOI: 10.1016/J.Envsoft.2006.06.017 |
0.424 |
|
| 2007 |
Yadav M, Wagener T, Gupta H. Regionalization of constraints on expected watershed response behavior for improved predictions in ungauged basins Advances in Water Resources. 30: 1756-1774. DOI: 10.1016/J.Advwatres.2007.01.005 |
0.503 |
|
| 2007 |
Wagener T. Can we model the hydrological impacts of environmental change Hydrological Processes. 21: 3233-3236. DOI: 10.1002/Hyp.6873 |
0.428 |
|
| 2006 |
Tang Y, Reed P, Wagener T. How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration? Hydrology and Earth System Sciences. 10: 289-307. DOI: 10.5194/Hess-10-289-2006 |
0.343 |
|
| 2006 |
Reed PM, Brooks RP, Davis KJ, DeWalle DR, Dressler KA, Duffy CJ, Lin H, Miller DA, Najjar RG, Salvage KM, Wagener T, Yarnal B. Bridging river basin scales and processes to assess human-climate impacts and the terrestrial hydrologic system Water Resources Research. 42. DOI: 10.1029/2005Wr004153 |
0.482 |
|
| 2006 |
Vrugt JA, Gupta HV, Dekker SC, Sorooshian S, Wagener T, Bouten W. Application of stochastic parameter optimization to the Sacramento Soil Moisture Accounting model Journal of Hydrology. 325: 288-307. DOI: 10.1016/J.Jhydrol.2005.10.041 |
0.423 |
|
| 2006 |
Duan Q, Schaake J, Andréassian V, Franks S, Goteti G, Gupta HV, Gusev YM, Habets F, Hall A, Hay L, Hogue T, Huang M, Leavesley G, Liang X, Nasonova ON, ... ... Wagener T, et al. Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops Journal of Hydrology. 320: 3-17. DOI: 10.1016/J.Jhydrol.2005.07.031 |
0.42 |
|
| 2006 |
Wagener T, Wheater HS. Parameter estimation and regionalization for continuous rainfall-runoff models including uncertainty Journal of Hydrology. 320: 132-154. DOI: 10.1016/J.Jhydrol.2005.07.015 |
0.417 |
|
| 2005 |
Wagener T, McIntyre N. Identification of rainfall-runoff models for operational applications Hydrological Sciences Journal-Journal Des Sciences Hydrologiques. 50: 735-751. DOI: 10.1623/Hysj.2005.50.5.735 |
0.457 |
|
| 2005 |
Yilmaz KK, Hogue TS, Hsu KL, Sorooshian S, Gupta HV, Wagener T. Intercomparison of rain gauge, radar, and satellite-based precipitation estimates with emphasis on hydrologic forecasting Journal of Hydrometeorology. 6: 497-517. DOI: 10.1175/Jhm431.1 |
0.372 |
|
| 2005 |
McIntyre N, Lee H, Wheater H, Young A, Wagener T. Ensemble predictions of runoff in ungauged catchments Water Resources Research. 41: 1-14. DOI: 10.1029/2005Wr004289 |
0.452 |
|
| 2005 |
Wagener T, Gupta HV. Model identification for hydrological forecasting under uncertainty Stochastic Environmental Research and Risk Assessment. 19: 378-387. DOI: 10.1007/S00477-005-0006-5 |
0.433 |
|
| 2004 |
Wagener T, Sivapalan M, McDonnell J, Hooper R, Lakshmi V, Liang X, Kumar P. Predictions in ungauged basins as a catalyst for multidisciplinary hydrology Eos, Transactions American Geophysical Union. 85: 451. DOI: 10.1029/2004Eo440003 |
0.367 |
|
| 2004 |
Hogue T, Wagener T, Shaake J, Duan Q, Hall A, Gupta H, Leavesley G, Andreassian V. Model parameter experiment begins new phase Eos, Transactions American Geophysical Union. 85: 217-218. DOI: 10.1029/2004Eo220005 |
0.454 |
|
| 2004 |
K. Ajami N, Gupta H, Wagener T, Sorooshian S. Calibration of a semi-distributed hydrologic model for streamflow estimation along a river system Journal of Hydrology. 298: 112-135. DOI: 10.1016/J.Jhydrol.2004.03.033 |
0.443 |
|
| 2003 |
McIntyre NR, Wagener T, Wheater HS, Yu ZS. Uncertainty and risk in water quality modelling and management Journal of Hydroinformatics. 5: 259-274. DOI: 10.2166/Hydro.2003.0022 |
0.399 |
|
| 2003 |
McIntyre NR, Wagener T, Wheater HS, Chapra SC. Risk-based modelling of surface water quality: A case study of the Charles River, Massachusetts Journal of Hydrology. 274: 225-247. DOI: 10.1016/S0022-1694(02)00417-1 |
0.416 |
|
| 2003 |
Wagener T. Evaluation of catchment models Hydrological Processes. 17: 3375-3378. DOI: 10.1002/Hyp.5158 |
0.437 |
|
| 2003 |
Wagener T, McIntyre N, Lees MJ, Wheater HS, Gupta HV. Towards reduced uncertainty in conceptual rainfall-runoff modelling: Dynamic identifiability analysis Hydrological Processes. 17: 455-476. DOI: 10.1002/Hyp.1135 |
0.427 |
|
| 2002 |
Wagener T, Camacho LA, Wheater HS. Dynamic identifiability analysis of the transient storage model for solute transport in rivers Journal of Hydroinformatics. 4: 199-211. DOI: 10.2166/Hydro.2002.0019 |
0.424 |
|
| 2001 |
Wagener T, Boyle DP, Lees MJ, Wheater HS, Gupta HV, Sorooshian S. A framework for development and application of hydrological models Hydrology and Earth System Sciences. 5: 13-26. DOI: 10.5194/Hess-5-13-2001 |
0.439 |
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