All Stories

  1. How to make advances in hydrological modelling
  2. Reply to Discussion of “Perceptual models of uncertainty for socio-hydrological systems: a flood risk change example”
  3. Primary weathering rates, water transit times, and concentration-discharge relations: A theoretical analysis for the critical zone
  4. Concepts of Information Content and Likelihood in Parameter Calibration for Hydrological Simulation Models
  5. The uncertainty cascade in model fusion
  6. Vegetation pattern as an indicator of saturated areas in a Czech headwater catchment
  7. Communicating uncertainty in flood inundation mapping: a case study
  8. Struggling with Epistemic Uncertainties in Environmental Modelling of Natural Hazards
  9. When to Issue a Flood Warning: Towards a Risk-Based Approach Based on Real Time Probabilistic Forecasts
  10. Rethinking Concepts of Information Content of Hydrological Data to Account for Epistemic Errors
  11. Debates—The future of hydrological sciences: A (common) path forward? A call to action aimed at understanding velocities, celerities and residence time distributions of the headwater hydrograph
  12. Comparison of saturated areas mapping methods in the Jizera Mountains, Czech Republic
  13. Applied Uncertainty Analysis for Flood Risk Management
  14. ‘Here we have a system in which liquid water is moving; let's just get at the physics of it’ (Penman 1965)
  15. A Framework for Uncertainty Analysis
  16. The GLUE Methodology for Model Calibration with Uncertainty
  17. Use of Models in Flood Risk Management
  18. A Data-Based Mechanistic Modelling Approach to Real-Time Flood Forecasting
  19. Uncertainty Estimation in Fluvial Flood Forecasting Applications
  20. Forecasting flash floods using data-based mechanistic models and NORA radar rainfall forecasts
  21. GLUE based marine X-band weather radar data calibration and uncertainty estimation
  22. Downstream changes in DOC: Inferring contributions in the face of model uncertainties
  23. GLUE: 20 years on
  24. Testing probabilistic adaptive real‐time flood forecasting models
  25. A guide to good practice in modeling semantics for authors and referees
  26. Uncertainty estimation of end‐member mixing using generalized likelihood uncertainty estimation (GLUE), applied in a lowland catchment
  27. Macropores and water flow in soils revisited
  28. On runoff generation and the distribution of storage deficits
  29. Keith Beven Receives 2012 Robert E. Horton Medal: Response
  30. So how much of your error is epistemic? Lessons from Japan and Italy
  31. Smiling in the rain: Seven reasons to be positive about uncertainty in hydrological modelling
  32. Probabilistic flood risk mapping including spatial dependence
  33. The impact of data assimilation strategies for correcting the affects of erroneous boundary conditions
  34. Communicating uncertainty in flood risk mapping
  35. Comment on “Pursuing the method of multiple working hypotheses for hydrological modeling” by P. Clark et al.
  36. Application of the Multiple Interacting Pathways model to environmental tracing data for a small till catchment
  37. Adaptive correction of deterministic models to produce probabilistic forecasts
  38. Determining E. coli burden on pasture in a headwater catchment: Combined field and modelling approach
  39. On virtual observatories and modelled realities (or why discharge must be treated as a virtual variable)
  40. A data based mechanistic real-time flood forecasting module for NFFS FEWS
  41. Causal models as multiple working hypotheses about environmental processes
  42. Comparison of a Multiple Interacting Pathways model with a classical kinematic wave subsurface flow solution
  43. Rainfall‐Runoff Modelling
  44. Adaptive correction of deterministic models to produce accurate probabilistic forecasts
  45. Identification and Representation of State Dependent Non-linearities in Flood Forecasting Using the DBM Methodology
  46. Transport and Dispersion in Large Rivers: Application of the Aggregated Dead Zone Model
  47. Comment on “Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water” by Eric F. Wood et al.
  48. Hydrological model calibration using a short period of observations
  49. On the colour and spin of epistemic error (and what we might do about it)
  50. On the colour and spin of epistemic error (and what we might do about it)
  51. Processes influencing model-data mismatch in drought-stressed, fire-disturbed eddy flux sites
  52. A discrete particle representation of hillslope hydrology: hypothesis testing in reproducing a tracer experiment at Gårdsjön, Sweden
  53. Modelling everything everywhere: a new approach to decision‐making for water management under uncertainty
  54. A staggered approach to flash flood forecasting – case study in the Cévennes region
  55. I believe in climate change but how precautionary do we need to be in planning for the future?
  56. On red herrings and real herrings: disinformation and information in hydrological inference
  57. Dealing with Uncertainty in Erosion Model Predictions
  58. Models as multiple working hypotheses: hydrological simulation of tropical alpine wetlands
  59. Distributed Models and Uncertainty in Flood Risk Management
  60. Scaling implications of a new multiple interacting pathways hillslope model
  61. FEH Pooling Group Approaches to Hydrological Regionalisation of Time Series Rainfall-Runoff Models and Flood Frequency Analysis with uncertainty
  62. Probabilistic Flood Forecasting in England and Wales – can it give us what we crave?
  63. A case study of tools for manipulating and visualising large flood risk management data sources
  64. Forecasting river levels during flash floods using data based mechanistic models, online data assimilation and metrological forecasts
  65. Stage‐discharge uncertainty derived with a non‐stationary rating curve in the Choluteca River, Honduras
  66. Preferential flows and travel time distributions: defining adequate hypothesis tests for hydrological process models
  67. Visualization approaches for communicating real‐time flood forecasting level and inundation information
  68. Flood-plain mapping: a critical discussion of deterministic and probabilistic approaches
  69. Water Resources Assessment and Regional Virtual Water Potential in the Turpan Basin, China
  70. Propagation of uncertainty from observing systems and NWP into hydrological models: COST‐731 Working Group 2
  71. Multiple sources of predictive uncertainty in modeled estimates of net ecosystem CO2 exchange
  72. Climate Change: The Need to Consider Human Forcings Besides Greenhouse Gases
  73. Regionalization as a learning process
  74. Testing a new model of aphid abundance with sedentary and non-sedentary predators
  75. Uncertainty in flood estimation
  76. A limits of acceptability approach to model evaluation and uncertainty estimation in flood frequency estimation by continuous simulation: Skalka catchment, Czech Republic
  77. Gauging the ungauged basin: how many discharge measurements are needed?
  78. Nature as the “Natural” Goal for Water Management: A Conversation
  79. Detecting the effects of spatial variability of rainfall on hydrological modelling within an uncertainty analysis framework
  80. Gauging the ungauged basin: how many discharge measurements are needed?
  81. Towards a limits of acceptability approach to the calibration of hydrological models: Extending observation error
  82. Towards the provision of site specific flood warnings using wireless sensor networks
  83. Comment on “Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?” by Jasper A. Vrugt, Cajo J. F. ter Braak, Hoshin V. Gupta and Bruce A. Robinson
  84. Response to comment by Keith Beven on “Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?”
  85. Uncertainty assessment of a process-based integrated catchment model of phosphorus
  86. Computationally efficient flood water level prediction (with uncertainty)
  87. The provision of site specific flood warnings using wireless sensor networks
  88. Data assimilation and adaptive real-time forecasting of water levels in the river Eden catchment, UK
  89. GLUE Based Assessment on the Overall Predictions of a MIKE SHE Application
  90. Informal likelihood measures in model assessment: Theoretic development and investigation
  91. A data based mechanistic approach to nonlinear flood routing and adaptive flood level forecasting
  92. Event based uncertainty assessment in urban drainage modelling, applying the GLUE methodology
  93. On doing better hydrological science
  94. Managing Heterogeneous Data Flows in Wireless Sensor Networks Using a "Split Personality' Mote Platform
  95. So just why would a modeller choose to be incoherent?
  96. Hydrodynamics and Water Quality
  97. Multi-method global sensitivity analysis of flood inundation models
  98. Upscaling discrete internal observations for obtaining catchment-averaged TOPMODEL parameters in a small Mediterranean mountain basin
  99. Detection of structural inadequacy in process‐based hydrological models: A particle‐filtering approach
  100. Climate change and fluvial flood risk in the UK: more of the same?
  101. Developing a Translational Discourse to Communicate Uncertainty in Flood Risk between Science and the Practitioner
  102. An experiment with reflective middleware to support grid‐based flood monitoring
  103. Conditioning uncertainty in ecological models: Assessing the impact of fire management strategies
  104. Comment on “Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology” by Pietro Mantovan and Ezio Todini
  105. Using internal catchment information to reduce the uncertainty of discharge and baseflow predictions
  106. Flow, mixing, and displacement in using a data‐based hydrochemical model to predict conservative tracer data
  107. Comment on: ‘On undermining the science?’ by Keith Beven
  108. On not undermining the science: coherence, validation and expertise. Discussion of Invited Commentary by Keith Beven Hydrological Processes, 20, 3141–3146 (2006)
  109. Grasping the unavoidable subjectivity in calibration of flood inundation models: A vulnerability weighted approach
  110. Towards integrated environmental models of everywhere: uncertainty, data and modelling as a learning process
  111. Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations
  112. Uncertainty Analysis in Environmental Modeling Made Easy
  113. Multi-period and multi-criteria model conditioning to reduce prediction uncertainty in an application of TOPMODEL within the GLUE framework
  114. Controls on Catchment-Scale Patterns of Phosphorus in Soil, Streambed Sediment, and Stream Water
  115. A comparison of non-linear least square and GLUE for model calibration and uncertainty estimation for pesticide transport in soils
  116. A fuzzy decision tree to predict phosphorus export at the catchment scale
  117. Uncertainty Estimation in Phosphorus Models
  118. Using grid technologies to optimise a wireless sensor network for flood management
  119. Comments on generalised likelihood uncertainty estimation
  120. Influence of uncertain boundary conditions and model structure on flood inundation predictions
  121. Decision tree for choosing an uncertainty analysis methodology: a wiki experiment http://www.floodrisknet.org.uk/methodshttp://www.floodrisk.net
  122. Modelling the chloride signal at Plynlimon, Wales, using a modified dynamic TOPMODEL incorporating conservative chemical mixing (with uncertainty)
  123. Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations
  124. On undermining the science?
  125. Sensitivity analysis based on regional splits and regression trees (SARS-RT)
  126. A semi-empirical model to assess uncertainty of spatial patterns of erosion
  127. Data assimilation and adaptive forecasting of water levels in the river Severn catchment, United Kingdom
  128. A disaggregating approach to describe overland flow occurrence within a catchment
  129. Ignorance is bliss: Or seven reasons not to use uncertainty analysis
  130. Discharge‐dependent pollutant dispersion in rivers: Estimation of aggregated dead zone parameters with surrogate data
  131. A manifesto for the equifinality thesis
  132. Parameter conditioning and prediction uncertainties of the LISFLOOD-WB distributed hydrological model
  133. On the Value of Local Measurements for Prediction of Pesticide Transport at the Field Scale
  134. Rainfall‐Runoff Modeling: Introduction
  135. Model Calibration and Uncertainty Estimation
  136. Modelling the effect of fire-exclusion and prescribed fire on wildfire size in Mediterranean ecosystems
  137. Towards Risk‐Based Prediction in Real‐World Applications of Complex Hydraulic Models
  138. Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations
  139. On the concept of delivery of sediment and nutrients to stream channels
  140. Spatial Variability of Soil Phosphorus in Relation to the Topographic Index and Critical Source Areas
  141. Study of hydrological processes by the combination of environmental tracing and hill slope measurements: application on the Haute-Mentue catchment
  142. Data-based modelling of runoff and chemical tracer concentrations in the Haute-Mentue research catchment (Switzerland)
  143. Robert E. Horton and abrupt rises of ground water
  144. Robert E. Horton's perceptual model of infiltration processes
  145. Bayesian updating of flood inundation likelihoods conditioned on flood extent data
  146. Nonparametric direct mapping of rainfall‐runoff relationships: An alternative approach to data analysis and modeling?
  147. Erratum to “Infiltration excess at the Horton Hydrology Laboratory (or not?)” [Journal of Hydrology 293 (2004) 219–234]
  148. Does an interagency meeting in Washington imply uncertainty?
  149. Infiltration excess at the Horton Hydrology Laboratory (or not?)
  150. Functional classification and evaluation of hydrographs based on Multicomponent Mapping (Mx)
  151. Flood frequency estimation by continuous simulation of subcatchment rainfalls and discharges with the aim of improving dam safety assessment in a large basin in the Czech Republic
  152. Uncertainty analysis of the rainfall runoff model LisFlood within the Generalized Likelihood Uncertainty Estimation (GLUE)
  153. Constraining dynamic TOPMODEL responses for imprecise water table information using fuzzy rule based performance measures
  154. Uncertainty in modelled estimates of acid deposition across Wales: a GLUE approach
  155. Multi-objective parameter conditioning of a three-source wheat canopy model
  156. Predictive Capability in Estimating Changes in Water Quality: Long-Term Responses to Atmospheric Deposition
  157. The Geochemical Evolution of Riparian Ground Water in a Forested Piedmont Catchment
  158. Data‐supported robust parameterisations in land surface–atmosphere flux predictions: towards a top‐down approach
  159. Towards the hydraulics of the hydroinformatics era
  160. Comment on “Bayesian recursive parameter estimation for hydrologic models” by M. Thiemann, M. Trosset, H. Gupta, and S. Sorooshian
  161. Estimation of flood inundation probabilities as conditioned on event inundation maps
  162. Vadose Zone Flow Model Uncertainty as Conditioned on Geophysical Data
  163. Development of a European flood forecasting system
  164. Bayesian methodology for stochastic capture zone delineation incorporating transmissivity measurements and hydraulic head observations
  165. Modelling hydrologic responses in a small forested catchment (Panola Mountain, Georgia, USA): a comparison of the original and a new dynamic TOPMODEL
  166. Multivariate seasonal period model rejection within the generalised likelihood uncertainty estimation procedure
  167. On environmental models of everywhere on the GRID
  168. Testing the distributed water table predictions of TOPMODEL (allowing for uncertainty in model calibration): The death of TOPMODEL?
  169. Towards a coherent philosophy for modelling the environment
  170. A hydraulic model to predict drought-induced mortality in woody plants: an application to climate change in the Mediterranean
  171. Flood frequency estimation by continuous simulation for a catchment treated as ungauged (with uncertainty)
  172. Computational fluid dynamics modelling of flow and energy fluxes for a natural fluvial dead zone
  173. The Future of Distributed Modelling
  174. Rainfall‐runoff modelling of a humid tropical catchment: the TOPMODEL approach
  175. Towards an alternative blueprint for a physically based digitally simulated hydrologic response modelling system
  176. Observational data and scale‐dependent parameterizations: explorations using a virtual hydrological reality
  177. On constraining TOPMODEL hydrograph simulations using partial saturated area information
  178. Chapter 12 Uncertainty and the detection of structural change in models of environmental systems
  179. Uncertainty in hydrograph separations based on geochemical mixing models
  180. Implications of model uncertainty for the mapping of hillslope‐scale soil erosion predictions
  181. On explanatory depth and predictive power
  182. Application of a data‐based mechanistic modelling (DBM) approach for predicting runoff generation in semi‐arid regions
  183. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
  184. On modelling as collective intelligence
  185. A dynamic TOPMODEL
  186. Quantifying contributions to storm runoff through end‐member mixing analysis and hydrologic measurements at the Panola Mountain Research Watershed (Georgia, USA)
  187. On hypothesis testing in hydrology
  188. The Predictive Uncertainty of Land Surface Fluxes in Response to Increasing Ambient Carbon Dioxide
  189. On fire and rain (or predicting the effects of change)
  190. On stochastic models and the single realization
  191. On stochastic models and the single realization
  192. Stochastic capture zone delineation within the generalized likelihood uncertainty estimation methodology: Conditioning on head observations
  193. On landscape space to model space mapping
  194. How far can we go in distributed hydrological modelling?
  195. Tribune Libre : L'unicité de lieu, d'action et de temps
  196. Modelling extreme rainfalls using a modified random pulse Bartlett–Lewis stochastic rainfall model (with uncertainty)
  197. On model uncertainty, risk and decision making
  198. An evaluation of three stochastic rainfall models
  199. On the future of distributed modelling in hydrology
  200. On model uncertainty, risk and decision making
  201. Equifinality and uncertainty in physically based soil erosion models: application of the GLUE methodology to WEPP-the Water Erosion Prediction Project-for sites in the UK and USA
  202. Uniqueness of place and process representations in hydrological modelling
  203. Flood frequency estimation by continuous simulation under climate change (with uncertainty)
  204. Flood frequency estimation by continuous simulation (with likelihood based uncertainty estimation)
  205. An Agenda for Land Surface Hydrology Research and a Call for the Second International Hydrological Decade
  206. Equifinality, sensitivity and predictive uncertainty in the estimation of critical loads
  207. Conditioning a multiple‐patch SVAT Model using uncertain time‐space estimates of latent heat fluxes as inferred from remotely sensed data
  208. Flood frequency estimation by continuous simulation for a gauged upland catchment (with uncertainty)
  209. Equifinality and the Problem of Robust Calibration in Nitrogen Budget Simulations
  210. Functional similarity in landscape scale SVAT modelling
  211. Multi-objective conditioning of a simple SVAT model
  212. Modelling dispersion in complex open channel flows: Equifinality of model structure (1)
  213. Modelling dispersion in complex open channel flows: Fuzzy calibration (2)
  214. Base cation concentrations in subsurface flow from a forested hillslope: The role of flushing frequency
  215. Use of spatially distributed water table observations to constrain uncertainty in a rainfall–runoff model
  216. Uncertainty and equifinality in calibrating distributed roughness coefficients in a flood propagation model with limited data
  217. Dynamic real-time prediction of flood inundation probabilities
  218. On constraining the predictions of a distributed model: The incorporation of fuzzy estimates of saturated areas into the calibration process
  219. Kalibrierung des ADZ-Modells für die Vorhersage des Abflusses einer unfallbedingten Wasserbelastung
  220. Estimation of evapotranspiration at the landscape scale: A fuzzy disaggregation approach
  221. Including spatially variable effective soil depths in TOPMODEL
  222. Preface to the special section on Scale Problems in Hydrology
  223. Bayesian estimation of uncertainty in land surface‐atmosphere flux predictions
  224. Digital elevation analysis for distributed hydrological modeling: Reducing scale dependence in effective hydraulic conductivity values
  225. Uncertainty in the estimation of critical loads: A practical methodology
  226. Flood frequency prediction for data limited catchments in the Czech Republic using a stochastic rainfall model and TOPMODEL
  227. On the sensitivity of soil-vegetation-atmosphere transfer (SVAT) schemes: equifinality and the problem of robust calibration
  228. TOPMODEL: A critique
  229. TOPMODEL: A critique
  230. Analytical compensation between DTM grid resolution and effective values of staurated hydraulic conductivity within the TOPMODEL framework
  231. Analytical compensation between DTM grid resolution and effective values of staurated hydraulic conductivity within the TOPMODEL framework
  232. Modelling the hydrological response of mediterranean catchments, Prades, Catalonia. The use of distributed models as aids to hypothesis formulation
  233. Discharge and water table predictions using a generalised TOPMODEL formulation
  234. Book Review: Space and Time Variability and Interdependencies in Hydrological Processes edited by Reinder A. Feddes. Cambridge University press, Cambridge, 1995. No. of pages; xii + 181. Price: £55.00 (hb). ISBN 0-521-49508-3
  235. Announcement
  236. Process, Heterogeneity and Scale in Modelling Soil Moisture Fluxes
  237. Using interactive recession curve analysis to specify a general catchment storage model
  238. New method developed for studying flow on hillslopes
  239. FLOW SEPARATION IN UNDISTURBED SOILS USING MULTIPLE ANIONIC TRACERS. PART 1. ANALYTICAL METHODS AND UNSTEADY RAINFALL AND RETURN FLOW EXPERIMENTS
  240. FLOW SEPARATION IN UNDISTURBED SOIL USING MULTIPLE ANIONIC TRACERS. PART 3: UNSTEADY CORE-SCALE INFILTRATION EXPERIMENTS
  241. NEW UNCERTAINTY CONCEPTS IN HYDROLOGY AND WATER RESOURCES edited by Z. W. Kundzewicz, Cambridge University Press/UNESCO/IASH International Hydrology Series, 1995. No. of pages: xiii + 322. Price: £75.00 (hb). ISBN 0-521-46118-9.
  242. Application of a Generalized TOPMODEL to the Small Ringelbach Catchment, Vosges, France
  243. Toward a Generalization of the TOPMODEL Concepts: Topographic Indices of Hydrological Similarity
  244. Bayesian Estimation of Uncertainty in Runoff Prediction and the Value of Data: An Application of the GLUE Approach
  245. ISOTOPE STUDIES OF PIPEFLOW AT PLYNLIMON, WALES, UK
  246. Towards the upscaling of local surface flux models
  247. The limits of splitting: Hydrology
  248. MODELLING SOLAR RADIATION IN STEEPLY SLOPING TERRAIN
  249. MODELLING SOLAR RADIATION IN STEEPLY SLOPING TERRAIN
  250. Hydrological Controls on Ecosystem Gas Exchange in an Arctic Landscape
  251. Movement of water and the herbicides atrazine and isoproturon through a large structured clay soil core
  252. Linking parameters across scales: Subgrid parameterizations and scale dependent hydrological models
  253. The introduction of macroscale hydrological complexity into land surface-atmosphere transfer models and the effect on planetary boundary layer development
  254. The in(a/tan/β) index: How to calculate it and how to use it within the topmodel framework
  255. Sensitivity to space and time resolution of a hydrological model using digital elevation data
  256. Data‐based mechanistic modelling and the rainfall‐flow non‐linearity
  257. Soil moisture estimation over grass-covered areas using AIRSAR
  258. The sensitivity of hydrological models to spatial rainfall patterns: an evaluation using observed data
  259. Spatial and temporal predictions of soil moisture dynamics, runoff, variable source areas and evapotranspiration for plynlimon, mid‐wales
  260. Riverine Flooding in a Warmer Britain
  261. Dispersion parameters for undisturbed partially saturated soil
  262. Estimating transport parameters at the grid scale: on the value of a single measurement
  263. Prophecy, reality and uncertainty in distributed hydrological modelling
  264. Editorial: Future of distributed modelling
  265. Three‐dimensional modelling of hillslope hydrology
  266. The future of distributed models: Model calibration and uncertainty prediction
  267. Input of fecal coliform bacteria to an upland stream channel in the Yorkshire Dales
  268. Towards identifying sources of subsurface flow: A comparison of components identified by a physically based runoff model and those determined by chemical mixing techniques
  269. Computation of the instantaneous unit hydrograph and identifiable component flows with application to two small upland catchments — Comment
  270. Book reviews
  271. Changing responses in hydrology: Assessing the uncertainty in physically based model predictions
  272. Throughflow and solute transport in an isolated sloping soil block in a forested catchment
  273. Scale Considerations
  274. Infiltration, Soil Moisture, and Unsaturated Flow
  275. Spatially Distributed Modeling: Conceptual Approach to Runoff Prediction
  276. The prediction of hillslope flow paths for distributed hydrological modelling using digital terrain models
  277. Inferences about solute transport in macroporous forest soils from time series models
  278. Similarity and scale in catchment storm response
  279. A Discussion of Distributed Hydrological Modelling
  280. Response to comments on ‘a discussion of distributed hydrological modelling’ by j c refsgaard et al
  281. On hydrologic similarity: 3. A dimensionless flood frequency model using a generalized geomorphologic unit hydrograph and partial area runoff generation
  282. A physically based model of heterogeneous hillslopes: 1. Runoff production
  283. A physically based model of heterogeneous hillslopes: 2. Effective hydraulic conductivities
  284. The relationship of catchment topography and soil hydraulic characteristics to lake alkalinity in the northeastern United States
  285. EXPERIMENTAL INVESTIGATION OF THE AGGREGATED DEAD ZONE MODEL.
  286. Interflow
  287. Changing ideas in hydrology — The case of physically-based models
  288. An aggregated mixing zone model of solute transport through porous media
  289. Effects of spatial variability and scale with implications to hydrologic modeling
  290. On hydrological heterogeneity — Catchment morphology and catchment response
  291. On hydrologic similarity: 2. A scaled model of storm runoff production
  292. Reply [to “Comments on “On subsurface stormflow: Prediction with simple kinematic theory for saturated and unsaturated flows” by Keith Beven”]
  293. Towards the use of catchment geomorphology in flood frequency predictions
  294. Book reviews
  295. A modular three-dimensional finite-difference ground-water flow model
  296. Kinematic wave approximation to the initiation of subsurface storm flow in a sloping forest soil
  297. On the Variation of Infiltration Into a Homogeneous Soil Matrix Containing a Population of Macropores
  298. Runoff Production and Flood Frequency in Catchments of Order n: An Alternative Approach
  299. A distribution function approach to water flow in soil macropores based on kinematic wave theory
  300. Sensitivity analysis, calibration and predictive uncertainty of the Institute of Hydrology Distributed Model
  301. Kinematic Wave Approximation to Infiltration Into Soils With Sorbing Macropores
  302. Infiltration into a class of vertically non-uniform soils
  303. Avian Biogeography in the Amazon Basin and the Biological Model of Diversification
  304. Testing a physically-based flood forecasting model (TOPMODEL) for three U.K. catchments
  305. Catchment geomorphology and the dynamics of runoff contributing areas
  306. The effect of mole drainage on the hydrological response of a swelling clay soil
  307. Surface water hydrology—runoff generation and basin structure
  308. On subsurface stormflow: an analysis of response times
  309. On subsurface stormflow: Predictions with simple kinematic theory for saturated and unsaturated flows
  310. Macropores and water flow in soils
  311. ASSESSING THE EFFECT OF SPATIAL PATTERN OF PRECIPITATION IN MODELING STREAM FLOW HYDROGRAPHS1
  312. Kinematic subsurface stormflow
  313. Comments on ‘A stochastic‐conceptual analysis of rainfall‐runoff processes on a hillslope’ by R. Allan Freeze
  314. WATER FLOW IN SOIL MACROPORES I. AN EXPERIMENTAL APPROACH
  315. WATER FLOW IN SOIL MACROPORES III. A STATISTICAL APPROACH
  316. Micro-, Meso-, Macroporosity and Channeling Flow Phenomena in Soils
  317. Stormwater modeling
  318. A sensitivity analysis of the Penman-Monteith actual evapotranspiration estimates
  319. On the generalized kinematic routing method
  320. Flow and flow routing in upland channel networks / L'écoulement et le calcul du cheminement de l'écoulement dans les réseaux des canaux montagneux
  321. The hydrological response of headwater and sideslope areas / La réponse hydrologique des zones de cours supérieurs et des zones de pente latérale
  322. A landslip/debris flow in bilsdale, North York Moors, September 1976
  323. Finite element simulation in surface and subsurface hydrology, G. F. Pinder and William G. Gray, Academic Press, New York, 1977. No. of pages: 295. Price: $18.80
  324. Hillslope hydrographs by the finite element method
  325. Finite element techniques for fluid flow. J. J. Connor and C. A. Brebbia, Newnes-Butterworth, London, 1976, No. of pages: 320. Price: £10
  326. Model predictions: Uncertainty
  327. Models: Distributed models of catchment hydrology
  328. Models: Parameter estimation
  329. Behavior of AIRSAR signals during MAC-EUROPE'91
  330. Model and data limitations: the sources and implications of epistemic uncertainty
  331. Flood risk and uncertainty