Global‐scale regionalization of hydrologic model parameters
暂无分享,去创建一个
Tim R. McVicar | Jaap Schellekens | Diego G. Miralles | Hylke E. Beck | Ad de Roo | A. van Dijk | T. McVicar | A. De Roo | J. Schellekens | D. Miralles | H. Beck | L. A. Bruijnzeel | Albert van Dijk | L. Adrian Bruijnzeel
[1] Julien Lerat,et al. Crash testing hydrological models in contrasted climate conditions: An experiment on 216 Australian catchments , 2012 .
[2] Charles Audet,et al. Improving process representation in conceptual hydrological model calibration using climate simulations , 2014 .
[3] A. Dijk,et al. Climate and terrain factors explaining streamflow response and recession in Australian catchments , 2010 .
[4] R. Woods,et al. Catchment Classification and Hydrologic Similarity , 2006, Geography Compass.
[5] Natsuko Yoshifuji,et al. A review of evapotranspiration estimates from tropical forests in Thailand and adjacent regions , 2008 .
[6] Yinghai Ke,et al. Evaluating runoff simulations from the Community Land Model 4.0 using observations from flux towers and a mountainous watershed , 2011 .
[7] Keith Beven,et al. Macropores and water flow in soils revisited , 2013 .
[8] Ilyas Masih,et al. Regionalization of a conceptual rainfall–runoff model based on similarity of the flow duration curve: A case study from the semi-arid Karkheh basin, Iran , 2010 .
[9] J. McDonnell,et al. The hydrology of the humid tropics , 2012 .
[10] M. J. Booij,et al. The influence of parametric uncertainty on the relationships between HBV model parameters and climatic characteristics , 2015 .
[11] András Bárdossy,et al. Calibration of hydrological model parameters for ungauged catchments , 2006 .
[12] R. Lidén,et al. Analysis of conceptual rainfall–runoff modelling performance in different climates , 2000 .
[13] Tim R. McVicar,et al. Global patterns in base flow index and recession based on streamflow observations from 3394 catchments , 2013 .
[14] Hylke E. Beck,et al. Global Maps of Streamflow Characteristics Based on Observations from Several Thousand Catchments , 2015 .
[15] J. Kusche,et al. Calibration/Data Assimilation Approach for Integrating GRACE Data into the WaterGAP Global Hydrology Model (WGHM) Using an Ensemble Kalman Filter: First Results , 2013, Surveys in Geophysics.
[16] Kellie B. Vaché,et al. Model intercomparison to explore catchment functioning: Results from a remote montane tropical rainforest , 2012 .
[17] Ying‐ping Wang,et al. Benchmarking global land surface models against the observed mean annual runoff from 150 large basins , 2012 .
[18] Paulin Coulibaly,et al. Streamflow Prediction in Ungauged Basins: Review of Regionalization Methods , 2013 .
[19] Andrew W. Western,et al. Optimization of a similarity measure for estimating ungauged streamflow , 2009 .
[20] J. McDonnell,et al. A decade of Predictions in Ungauged Basins (PUB)—a review , 2013 .
[21] Marc Stieglitz,et al. Modelling daily streamflow at ungauged catchments: what information is necessary? , 2011 .
[22] Daren M. Carlisle,et al. GAGES: A stream gage database for evaluating natural and altered flow conditions in the conterminous United States , 2010 .
[23] H. Kling,et al. Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios , 2012 .
[24] Lifeng Luo,et al. Streamflow and water balance intercomparisons of four land surface models in the North American Land Data Assimilation System Project , 2004 .
[25] A. Gustard,et al. Low Flow Estimation in the United Kingdom , 1992 .
[26] R. Vogel,et al. Regional calibration of a watershed model , 2000 .
[27] Erwin Zehe,et al. A review of regionalisation for continuous streamflow simulation , 2011 .
[28] Hyosang Lee,et al. Ensemble predictions of runoff in ungauged catchments , 2005 .
[29] K. Mo,et al. Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products , 2012 .
[30] S. Jain,et al. Fitting of Hydrologic Models: A Close Look at the Nash–Sutcliffe Index , 2008 .
[31] Hoshin Vijai Gupta,et al. Do Nash values have value? , 2007 .
[32] De Roo Arie,et al. LISFLOOD - Distributed Water Balance and Flood Simulation Model - Revised User Manual 2013 , 2013 .
[33] G. Vandewiele,et al. Monthly water balance of ungauged catchments obtained by geographical regionalization , 1995 .
[34] T. Oki,et al. Multimodel Estimate of the Global Terrestrial Water Balance: Setup and First Results , 2011 .
[35] Göran Lindström,et al. A COMPARATIVE STUDY OF A SWEDISH AND A CHINESE HYDROLOGICAL MODEL , 1996 .
[36] G. Niu,et al. Ensemble Evaluation of Hydrologically Enhanced Noah-LSM: Partitioning of the Water Balance in High-Resolution Simulations over the Little Washita River Experimental Watershed , 2011 .
[37] E. Sudicky,et al. Hyper‐resolution global hydrological modelling: what is next? , 2015 .
[38] Benjamin F. Zaitchik,et al. Evaluation of the Global Land Data Assimilation System using global river discharge data and a source‐to‐sink routing scheme , 2010 .
[39] Yongqiang Zhang,et al. Relative merits of different methods for runoff predictions in ungauged catchments , 2009 .
[40] M. Sivapalan. Prediction in ungauged basins: a grand challenge for theoretical hydrology , 2003 .
[41] Michael G. Bosilovich,et al. Evaluation of 22 Precipitation and 23 Soil Moisture Products over a Semiarid Area in Southeastern Arizona , 2016 .
[42] Quan J. Wang,et al. Using genetic algorithms to optimise model parameters , 1997 .
[43] John C. Schaake,et al. A Priori Estimation of Land Surface Model Parameters , 2013 .
[44] Tao Yang,et al. Multi-model climate impact assessment and intercomparison for three large-scale river basins on three continents , 2014 .
[45] M. Bierkens,et al. The benefits of using remotely sensed soil moisture in parameter identification of large‐scale hydrological models , 2013 .
[46] Balaji Rajagopalan,et al. Are we unnecessarily constraining the agility of complex process‐based models? , 2015 .
[47] A. Meesters,et al. Wet canopy evaporation from a Puerto Rican lower montane rain forest: the importance of realistically estimated aerodynamic conductance , 2012 .
[48] G. Heuvelink,et al. SoilGrids1km — Global Soil Information Based on Automated Mapping , 2014, PloS one.
[49] P. Döll,et al. High‐resolution mapping of the world's reservoirs and dams for sustainable river‐flow management , 2011 .
[50] Keith Beven,et al. Changing ideas in hydrology — The case of physically-based models , 1989 .
[51] A. Dijk,et al. The role of climatic and terrain attributes in estimating baseflow recession in tropical catchments , 2010 .
[52] Aditya Sood,et al. Global hydrological models: a review , 2015 .
[53] Murugesu Sivapalan,et al. Scale issues in hydrological modelling: A review , 1995 .
[54] P. Döll,et al. A global hydrological model for deriving water availability indicators: model tuning and validation , 2003 .
[55] Chong-Yu Xu,et al. Global water-balance modelling with WASMOD-M: Parameter estimation and regionalisation , 2007 .
[56] Keith Beven,et al. TOPMODEL : a critique. , 1997 .
[57] S. Steele‐Dunne,et al. The impacts of climate change on hydrology in Ireland , 2008 .
[58] D. Hannah,et al. Large‐scale river flow archives: importance, current status and future needs , 2011 .
[59] Michael D. Dettinger,et al. Changes toward Earlier Streamflow Timing across Western North America , 2005 .
[60] A. Young,et al. Stream flow simulation within UK ungauged catchments using a daily rainfall-runoff model , 2006 .
[61] C. Justice,et al. High-Resolution Global Maps of 21st-Century Forest Cover Change , 2013, Science.
[62] Thorsten Wagener,et al. Parameter estimation and regionalization for continuous rainfall-runoff models including uncertainty , 2006 .
[63] Jens Lange,et al. Dynamics of transmission losses in a large arid stream channel , 2005 .
[64] M. J. Booij,et al. Impact of climate change on river flooding assessed with different spatial model resolutions , 2005 .
[65] Jiu-fu Liu,et al. Comparison of regionalization approaches based on regression and similarity for predictions in ungauged catchments under multiple hydro-climatic conditions , 2012 .
[66] Steven L. Markstrom,et al. Parameter regionalization of a monthly water balance model for the conterminous United States , 2015 .
[67] C. Daly,et al. A Statistical-Topographic Model for Mapping Climatological Precipitation over Mountainous Terrain , 1994 .
[68] Anthony J. Jakeman,et al. Performance of conceptual rainfall‐runoff models in low‐yielding ephemeral catchments , 1997 .
[69] M. J. Booij,et al. The Skill of Seasonal Ensemble Low-Flow Forecasts in the Moselle River for Three Different Hydrological Models , 2015 .
[70] K. Beven,et al. A physically based, variable contributing area model of basin hydrology , 1979 .
[71] J. Vaze,et al. Comparison of multi-model and multi-donor ensembles for regionalisation of runoff generation using five lumped rainfall-runoff models , 2009 .
[72] J. L. Parra,et al. Very high resolution interpolated climate surfaces for global land areas , 2005 .
[73] V. Kousky,et al. Assessing objective techniques for gauge‐based analyses of global daily precipitation , 2008 .
[74] G.. SCALE ISSUES IN HYDROLOGICAL MODELLING : A REVIEW , 2006 .
[75] Anthony J. Jakeman,et al. Predicting daily flows in ungauged catchments: model regionalization from catchment descriptors at the Coweeta Hydrologic Laboratory, North Carolina , 2003 .
[76] Doerthe Tetzlaff,et al. A comparison of similarity indices for catchment classification using a cross-regional dataset , 2012 .
[77] J. Hewlett,et al. A REVIEW OF CATCHMENT EXPERIMENTS TO DETERMINE THE EFFECT OF VEGETATION CHANGES ON WATER YIELD AND EVAPOTRANSPIRATION , 1982 .
[78] Eric F. Wood,et al. An efficient calibration method for continental‐scale land surface modeling , 2008 .
[79] M. Ek,et al. Continental‐scale water and energy flux analysis and validation for North American Land Data Assimilation System project phase 2 (NLDAS‐2): 2. Validation of model‐simulated streamflow , 2012 .
[80] Micha Werner,et al. A review of continental scale hydrological models and their suitability for drought forecasting in (sub-Saharan) Africa , 2013 .
[81] S. Kazama,et al. Regionalization of lumped water balance model parameters based on multiple regression , 2001 .
[82] Pierre Gentine,et al. Interdependence of climate, soil, and vegetation as constrained by the Budyko curve , 2012 .
[83] D. H. Pilgrim,et al. Problems of rainfall-runoff modelling in arid and semiarid regions , 1988 .
[84] K. Beven,et al. Macropores and water flow in soils , 1982 .
[85] Wolfgang Grabs,et al. High‐resolution fields of global runoff combining observed river discharge and simulated water balances , 2002 .
[86] A. Slater,et al. A multimodel simulation of pan-Arctic hydrology , 2007 .
[87] Yongqiang Zhang,et al. Predicting runoff in ungauged catchments by using Xinanjiang model with MODIS leaf area index , 2009 .
[88] Robert E. Criss,et al. Do Nash values have value? Discussion and alternate proposals , 2008 .
[89] F. Chiew,et al. Rainfall–runoff modelling in northern Australia: A guide to modelling strategies in the tropics , 2012 .
[90] Irena F. Creed,et al. A framework for broad‐scale classification of hydrologic response units on the Boreal Plain: is topography the last thing to consider? , 2005 .
[91] H. Savenije,et al. The importance of topography controlled sub-grid process heterogeneity in distributed hydrological models , 2015 .
[92] Walter Boughton,et al. Estimating runoff in ungauged catchments from rainfall, PET and the AWBM model , 2007, Environ. Model. Softw..
[93] T. Blume,et al. The value of satellite‐derived snow cover images for calibrating a hydrological model in snow‐dominated catchments in Central Asia , 2014 .
[94] Jan Seibert,et al. Regionalisation of parameters for a conceptual rainfall-runoff model , 1999 .
[95] Jagath J. Kaluarachchi,et al. Application of parameter estimation and regionalization methodologies to ungauged basins of the Upper Blue Nile River Basin, Ethiopia , 2008 .
[96] Keith Beven,et al. The future of distributed models: model calibration and uncertainty prediction. , 1992 .
[97] David R. Maidment,et al. Handbook of Hydrology , 1993 .
[98] Tim R. McVicar,et al. Assessing the ability of potential evaporation formulations to capture the dynamics in evaporative demand within a changing climate , 2010 .
[99] Q. Duana,et al. Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops , 2006 .
[100] Jan Seibert,et al. Teaching hydrological modeling with a user-friendly catchment-runoff-model software package , 2012 .
[101] William J. Wolfe,et al. Model Calibration Criteria for Estimating Ecological Flow Characteristics , 2015 .
[102] Alberto Montanari,et al. Large sample behaviors of the generalized likelihood uncertainty estimation (GLUE) in assessing the uncertainty of rainfall‐runoff simulations , 2005 .
[103] Günter Blöschl,et al. Regionalisation of catchment model parameters , 2004 .
[104] Thomas A. Hennig,et al. The Shuttle Radar Topography Mission , 2001, Digital Earth Moving.
[105] Bryan A. Tolson,et al. Optimizing hydrological consistency by incorporating hydrological signatures into model calibration objectives , 2015 .
[106] George H. Hargreaves,et al. Irrigation Water Requirements for Senegal River Basin , 1985 .
[107] Hoshin Vijai Gupta,et al. Regionalization of constraints on expected watershed response behavior for improved predictions in ungauged basins , 2007 .
[108] András Bárdossy,et al. Modeling of the effect of land use changes on the runoff generation of a river basin through parameter regionalization of a watershed model , 2004 .
[109] Dennis P. Lettenmaier,et al. Regional parameter estimation for the unified land model , 2013 .
[110] Günter Blöschl,et al. Regional calibration of catchment models: Potential for ungauged catchments , 2007 .
[111] G. Powell,et al. Terrestrial Ecoregions of the World: A New Map of Life on Earth , 2001 .
[112] Martyn P. Clark,et al. Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance , 2014 .
[113] Donald H. Burn,et al. Spatial patterns of homogeneous pooling groups for flood frequency analysis , 2003 .
[114] Jeroen C. J. H. Aerts,et al. Comparing model performance of two rainfall-runoff models in the Rhine basin using different atmospheric forcing data sets , 2007 .
[115] H. L. Penman. Natural evaporation from open water, bare soil and grass , 1948, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.
[116] M. Vanclooster,et al. Uncertainty analysis in model parameters regionalization: a case study involving the SWAT model in Mediterranean catchments (Southern France) , 2013 .
[117] G. Balsamo,et al. The WFDEI meteorological forcing data set: WATCH Forcing Data methodology applied to ERA‐Interim reanalysis data , 2014 .
[118] Chong-Yu Xu,et al. Disinformative data in large-scale hydrological modelling , 2013 .
[119] A global map of mean annual runoff based on discharge observations from large catchments , 2016 .
[120] Anna Kauffeldt. Disinformative and Uncertain Data in Global Hydrology : Challenges for Modelling and Regionalisation , 2014 .
[121] D. R. Nielsen,et al. How useful are small-scale soil hydraulic property measurements for large-scale vadose zone modeling? , 2002 .
[122] Avi Ostfeld,et al. Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions , 2014, Environ. Model. Softw..
[123] Peter R. J. North,et al. The ESA GlobAlbedo Project for mapping the Earth's land surface albedo for 15 Years from European Sensors. , 2012, IGARSS 2012.
[124] Thorsten Wagener,et al. Identifying dominant controls on hydrologic parameter transfer from gauged to ungauged catchments – A comparative hydrology approach , 2014 .
[125] B. Hurk,et al. A Revised Hydrology for the ECMWF Model: Verification from Field Site to Terrestrial Water Storage and Impact in the Integrated Forecast System , 2009 .
[126] E. Davidson,et al. The role of deep roots in the hydrological and carbon cycles of Amazonian forests and pastures , 1994, Nature.
[127] Attilio Castellarin,et al. Calibration of rainfall-runoff models in ungauged basins: A regional maximum likelihood approach , 2010 .
[128] Remko Uijlenhoet,et al. The hydrological response of the Ourthe catchment to climate change as modelled by the HBV model , 2009 .
[129] Hoshin Vijai Gupta,et al. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling , 2009 .
[130] Kevin W. Manning,et al. The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements , 2011 .
[131] Eric F. Wood,et al. Global analysis of seasonal streamflow predictability using an ensemble prediction system and observations from 6192 small catchments worldwide , 2013 .
[132] Yongqiang Zhang,et al. Comparing flow duration curve and rainfall–runoff modelling for predicting daily runoff in ungauged catchments , 2015 .
[133] Vazken Andréassian,et al. Transferring global uncertainty estimates from gauged to ungauged catchments , 2014 .
[134] J. Nash,et al. River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .
[135] Marc Parizeau,et al. DEAP: evolutionary algorithms made easy , 2012, J. Mach. Learn. Res..
[136] Yeugeniy M. Gusev,et al. Investigating the ability of a land surface model to simulate streamflow with the accuracy of hydrological models: a case study using MOPEX materials. , 2009 .
[137] N. Chappell,et al. Runoff Processes in Southeast Asia: Role of Soil, Regolith, and Rock Type , 2007 .
[138] John W. Nicklow,et al. Multi-objective automatic calibration of SWAT using NSGA-II , 2007 .
[139] M. Schaepman,et al. Proxy global assessment of land degradation , 2008 .
[140] P. Coulibaly,et al. Estimation of Continuous Streamflow in Ontario Ungauged Basins: Comparison of Regionalization Methods , 2011 .
[141] P. Xie,et al. A Gauge-Based Analysis of Daily Precipitation over East Asia , 2007 .
[142] Murugesu Sivapalan,et al. Comparative assessment of predictions in ungauged basins – Part 1: Runoff-hydrograph studies , 2013 .
[143] G. Blöschl,et al. Flood frequency regionalisation—spatial proximity vs. catchment attributes , 2005 .
[144] A. Dijk,et al. The impact of forest regeneration on streamflow in 12 mesoscale humid tropical catchments , 2013 .
[145] Anthony J. Jakeman,et al. Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM) I: Model intercomparison with current land use , 2009 .
[146] Günter Blöschl,et al. A comparison of regionalisation methods for catchment model parameters , 2005 .
[147] Alison L. Kay,et al. A comparison of three approaches to spatial generalization of rainfall–runoff models , 2006 .
[148] Alison L. Kay,et al. Are seemingly physically similar catchments truly hydrologically similar? , 2010 .
[149] Thibault Mathevet,et al. What is really undermining hydrologic science today? , 2007 .
[150] Peter A. Troch,et al. Climate-vegetation-soil interactions and long-term hydrologic partitioning: signatures of catchment co-evolution , 2013, Hydrology and Earth System Sciences.
[151] Hoshin Vijai Gupta,et al. Large-sample hydrology: a need to balance depth with breadth , 2013 .
[152] Chong-Yu Xu,et al. Regionalization study of a conceptual hydrological model in Dongjiang basin, south China , 2009 .
[153] Richard P. Hooper,et al. Moving beyond heterogeneity and process complexity: A new vision for watershed hydrology , 2007 .
[154] Eric F. Wood,et al. Predicting the Discharge of Global Rivers , 2001, Journal of Climate.
[155] Howard Wheater,et al. Tools and Approaches for Evaluating Uncertainty in Streamflow Predictions in Ungauged UK Catchments , 2004 .
[156] Xiaogu Zheng,et al. Thin plate smoothing spline interpolation of daily rainfall for New Zealand using a climatological rainfall surface , 2006 .
[157] S. Attinger,et al. Multiscale parameter regionalization of a grid‐based hydrologic model at the mesoscale , 2010 .
[158] Jörg Dietrich,et al. A one-step similarity approach for the regionalization of hydrological model parameters based on Self-Organizing Maps , 2013 .
[159] Vazken Andréassian,et al. Spatial proximity, physical similarity, regression and ungaged catchments: A comparison of regionalization approaches based on 913 French catchments , 2008 .
[160] Hubert H. G. Savenije,et al. On the calibration of hydrological models in ungauged basins: A framework for integrating hard and soft hydrological information , 2009 .
[161] F. R. Hall. Base‐Flow Recessions—A Review , 1968 .
[162] Quanxi Shao,et al. Water balance modeling over variable time scales based on the Budyko framework – Model development and testing , 2008 .
[163] S. Sorooshian,et al. Effective and efficient global optimization for conceptual rainfall‐runoff models , 1992 .
[164] Hélène Roux,et al. Parameter regionalization for a process-oriented distributed model dedicated to flash floods , 2015 .
[165] Sabine Attinger,et al. Multiscale and Multivariate Evaluation of Water Fluxes and States over European River Basins , 2016 .
[166] Petra Döll,et al. Development and validation of the global map of irrigation areas , 2005 .