The distributed model intercomparison project – Phase 2: Motivation and design of the Oklahoma experiments
暂无分享,去创建一个
Yu Zhang | Naoki Mizukami | Victor Koren | Seann Reed | Fekadu Moreda | Eric A. Anderson | Ziya Zhang | Brian A. Cosgrove | Zhengtao Cui | B. Cosgrove | V. Koren | Yu Zhang | Z. Cui | S. Reed | Michael Smith | Ziya Zhang | F. Moreda | N. Mizukami | E. Anderson | Michael Smith
[1] Zong-Liang Yang,et al. The Project for Intercomparison of Land Surface Parameterization Schemes (PILPS): Phases 2 and 3 , 1993 .
[2] Victor Koren,et al. Comparing Mean Areal Precipitation Estimates from NEXRAD and Rain Gauge Networks , 1999 .
[3] R. Moore. The probability-distributed principle and runoff production at point and basin scales , 1985 .
[4] J. Schaake,et al. A distributed hydrologic model and threshold frequency-based method for flash flood forecasting at ungauged locations , 2007 .
[5] Eric F. Wood,et al. Application of a macroscale hydrologic model to estimate the water balance of the Arkansas-Red River Basin , 1996 .
[6] Victor Koren,et al. Hydrologic Model Calibration in the National Weather Service , 2013 .
[7] R. Davis,et al. Hydrology of the Arbuckle Mountain area, south-central Oklahoma , 1982 .
[8] Jeffrey G. Arnold,et al. Formulation of a hybrid calibration approach for a physically based distributed model with NEXRAD data input , 2004 .
[9] Victor Koren,et al. Using SSURGO data to improve Sacramento Model a priori parameter estimates , 2006 .
[10] Witold F. Krajewski,et al. Evaluating NEXRAD Multisensor Precipitation Estimates for Operational Hydrologic Forecasting , 2000 .
[11] Kuniyoshi Takeuchi,et al. Relating BTOPMC model parameters to physical features of MOPEX basins , 2006 .
[12] Victor Koren,et al. Runoff response to spatial variability in precipitation: an analysis of observed data , 2004 .
[13] L. White,et al. Estimation of optimal parameters for a surface hydrology model , 2003 .
[14] Kuolin Hsu,et al. From lumped to distributed via semi-distributed: Calibration strategies for semi-distributed hydrologic models , 2012 .
[15] F. Castelli,et al. Use of multi‐platform, multi‐temporal remote‐sensing data for calibration of a distributed hydrological model: an application in the Arno basin, Italy , 2006 .
[16] D. Maidment,et al. Coordinate Transformations for Using NEXRAD Data in GIS-Based Hydrologic Modeling , 1999 .
[17] J. Ryu. Application of HSPF to the Distributed Model Intercomparison Project: Case Study , 2009 .
[18] Murugesu Sivapalan,et al. Extension of the representative elementary watershed approach for cold regions via explicit treatment of energy related processes , 2006 .
[19] Hans-Georg Frede,et al. Automatic model calibration , 2005 .
[20] Bradley G. Illston,et al. Mesoscale Monitoring of Soil Moisture across a Statewide Network , 2008 .
[21] H. Vernon Knapp,et al. Comparison of gage and multi-sensor precipitation estimates over a range of spatial and temporal scales in the Midwestern United States , 2008 .
[22] Kieran M. O'Connor,et al. Comparative assessment of six automatic optimization techniques for calibration of a conceptual rainfall—runoff model , 2007 .
[23] Raghavan Srinivasan,et al. Comparison of raingage and WSR-88D Stage III precipitation data over the Texas-Gulf basin , 2004 .
[24] John Doherty,et al. An advanced regularization methodology for use in watershed model calibration , 2006 .
[25] James Stephen Marron,et al. Visual Error Criteria for Qualitative Smoothing , 1995 .
[26] J. Bates,et al. Multi-sensor precipitation reanalysis , 2009 .
[27] Jan M. H. Hendrickx,et al. EVALUATION OF NEXRAD STAGE III PRECIPITATION DATA OVER A SEMIARID REGION 1 , 2006 .
[28] Model performance evaluation of distributed hydrological modeling for semi-arid regions , 2004 .
[29] S. Sorooshian,et al. Calibration of a semi-distributed hydrologic model for streamflow estimation along a river system , 2004, Journal of Hydrology.
[30] J. D. Tarpley,et al. The multi‐institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system , 2004 .
[31] T. Gan,et al. Semi-distributed, physically based, hydrologic modeling of the Paddle River Basin, Alberta, using remotely sensed data , 2001 .
[32] James D. Brown,et al. HYDROLOGIC ENSEMBLE PREDICTION FOR RISK-BASED WATER RESOURCES MANGEMENT AND HAZARD MITIGATION , 2010 .
[33] Enrique R. Vivoni,et al. Implications of Ensemble Quantitative Precipitation Forecast Errors on Distributed Streamflow Forecasting , 2010 .
[34] Bernd Diekkrüger,et al. Physically-based modelling of hydrological processes in a tropical headwater catchment (West Africa) – process representation and multi-criteria validation , 2006 .
[35] Dara Entekhabi,et al. Preserving high-resolution surface and rainfall data in operational-scale basin hydrology: a fully-distributed physically-based approach , 2004 .
[36] Ann Henderson-Sellers,et al. The Project for Intercomparison of Land Surface Parameterization Schemes (PILPS): Phases 2 and 3 , 1995 .
[37] A. Dolman. Soil-vegetation-atmosphere transfer schemes and large-scale hydrological models : proceedings of an international symposium (Symposium S5) held during the Sixth Scientific Assembly of the International Association of Hydrological Sciences (IAHS) at Maastricht, The Netherlands, from 18 to 27 July 200 , 2001 .
[38] Lifeng Luo,et al. Streamflow and water balance intercomparisons of four land surface models in the North American Land Data Assimilation System Project , 2004 .
[39] Baxter E. Vieux,et al. Ordered Physics‐Based Parameter Adjustment of a Distributed Model , 2013 .
[40] Latif Kalin,et al. Comparative assessment of two distributed watershed models with application to a small watershed , 2006 .
[41] J. Refsgaard. Parameterisation, calibration and validation of distributed hydrological models , 1997 .
[42] Qingyun Duan,et al. NOAA'S Advanced Hydrologic Prediction Service: Building Pathways for Better Science in Water Forecasting , 2005 .
[43] Félix Francés,et al. Split-parameter structure for the automatic calibration of distributed hydrological models , 2007 .
[44] B. Cosgrove,et al. Modification of Sacramento Soil Moisture Accounting Heat Transfer Component (SAC-HT) for enhanced evapotranspiration , 2010 .
[45] David D. Parrish,et al. NORTH AMERICAN REGIONAL REANALYSIS , 2006 .
[46] Bradley G. Illston,et al. Seasonal to interannual variations of soil moisture measured in Oklahoma , 2004 .
[47] Lifeng Luo,et al. An intercomparison of soil moisture fields in the North American Land Data Assimilation System (NLDAS) , 2003 .
[48] Jeffrey G. Arnold,et al. The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions , 2007 .
[49] Dong-Jun Seo,et al. The distributed model intercomparison project (DMIP): Motivation and experiment design , 2004 .
[50] S. Sorooshian,et al. Calibration of watershed models , 2003 .
[51] Dara Entekhabi,et al. Extending the Predictability of Hydrometeorological Flood Events Using Radar Rainfall Nowcasting , 2006 .
[52] Victor Koren,et al. Use of Soil Property Data in the Derivation of Conceptual Rainfall-Runoff Model Parameters , 2000 .
[53] V. Koren,et al. Estimating Grass Yield on Blue Grama Range From Seasonal Rainfall and Soil Moisture Measurements , 2011 .
[54] J. Kirchner. Getting the right answers for the right reasons: Linking measurements, analyses, and models to advance the science of hydrology , 2006 .
[55] George H. Leavesley,et al. Use of a Priori Parameter-Estimation Methods to Constrain Calibration of Distributed-Parameter Models , 2013 .
[56] S. K. Jenson,et al. Extracting topographic structure from digital elevation data for geographic information-system analysis , 1988 .
[57] Baxter E. Vieux,et al. Distributed Hydrologic Modeling Using GIS , 2001 .
[58] Vijay P. Singh,et al. Development and testing of a simple physically-based distributed rainfall-runoff model for storm runoff simulation in humid forested basins , 2007 .
[59] Hoshin Vijai Gupta,et al. A spatial regularization approach to parameter estimation for a distributed watershed model , 2008 .
[60] J. Villeneuve,et al. A Process‐Oriented, Multiple‐Objective Calibration Strategy Accounting for Model Structure , 2013 .
[61] Jeffrey B. Basara,et al. Improved Installation Procedures for Deep-Layer Soil Moisture Measurements , 2000 .
[62] J. Gerhard,et al. Influence of constitutive model parameters on the predicted migration of DNAPL in heterogeneous porous media , 2003 .
[63] C. Perrin,et al. Improvement of a parsimonious model for streamflow simulation , 2003 .
[64] V. Koren,et al. Evaluation of a grid-based distributed hydrological model over a large area , 2006 .
[65] Victor Koren,et al. Use of soil moisture observations to improve parameter consistency in watershed calibration , 2008 .
[66] Jeffrey J. McDonnell,et al. The Quest for an Improved Dialog Between Modeler and Experimentalist , 2013 .
[67] Richard K. Farnsworth,et al. Mean monthly, seasonal, and annual pan evaporation for the United States , 1983 .
[68] S. Sorooshian,et al. Parameter, Structure, and Model Performance Evaluation for Land‐Surface Schemes , 2013 .
[69] Hatim O. Sharif,et al. On the calibration and verification of two‐dimensional, distributed, Hortonian, continuous watershed models , 2000 .
[70] Qingyun Duan,et al. Use of a Priori Parameter Estimates in the Derivation of Spatially Consistent Parameter Sets of Rainfall‐Runoff Models , 2013 .
[71] D. Seo,et al. Overall distributed model intercomparison project results , 2004 .
[72] E. Anderson,et al. Calibration of Conceptual Hydrologic Models for Use in River Forecasting , 2002 .
[73] Henrik Madsen,et al. Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives , 2003 .
[74] Enrique R. Vivoni,et al. Vegetation‐hydrology dynamics in complex terrain of semiarid areas: 1. A mechanistic approach to modeling dynamic feedbacks , 2008 .
[75] Victor Koren,et al. Combining physically-based and conceptual approaches in the development and parameterization of a distributed system , 2003 .
[76] J. M. Schneider,et al. Spatiotemporal Variations in Soil Water: First Results from the ARM SGP CART Network , 2003 .
[77] Konstantine P. Georgakakos,et al. On improved hydrologic forecasting — Results from a WMO real-time forecasting experiment , 1990 .
[78] S. Borin,et al. Annual Meeting , 1917, Pediatric Research.
[79] David G. Tarboton,et al. Application of TOPNET in the distributed model intercomparison project , 2004 .
[80] J. D. Tarpley,et al. Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model , 2003 .
[81] Konstantine P. Georgakakos,et al. Continuous streamflow simulation with the HRCDHM distributed hydrologic model , 2004 .
[82] Seann Reed,et al. Deriving flow directions for coarse‐resolution (1–4 km) gridded hydrologic modeling , 2003 .
[83] M. Sivapalan,et al. Effect of spatial heterogeneity of runoff generation mechanisms on the scaling behavior of event runoff responses in a natural river basin , 2011 .
[84] Dong-Jun Seo,et al. Multisensor Precipitation Reanalysis , 2010 .
[85] Carlos E. Ruiz,et al. Using spatially distributed parameters and multi‐response objective functions to solve parameterization of complex applications of semi‐distributed hydrological models , 2008 .
[86] Jeffrey P. Walker,et al. Investigating Spatial Pattern Comparison Methods for Distributed Hydrological Model Assessment , 2004 .
[87] Michael Smith,et al. Hydrology laboratory research modeling system (HL-RMS) of the US national weather service , 2004 .
[88] L. Lan. A physically-based rainfall-runoff model and distributed dynamic hybrid control inverse technique , 2001 .
[89] András Bárdossy,et al. Comparison of four regionalisation methods for a distributed hydrological model , 2007 .
[90] H. Fuelberg,et al. An Examination of Radar and Rain Gauge-Derived Mean Areal Precipitation over Georgia Watersheds , 2001 .
[91] Henrik Madsen,et al. An evaluation of the impact of model structure on hydrological modelling uncertainty for streamflow simulation , 2004 .
[92] Michael D. Eilts,et al. The Oklahoma Mesonet: A Technical Overview , 1995 .
[93] Dong Jun Seo,et al. Fast and efficient optimization of hydrologic model parameters using a priori estimates and stepwise line search , 2008 .
[94] Victor Koren,et al. Distributed modeling phase 1 results , 1999 .
[95] G. Hornberger,et al. A Statistical Exploration of the Relationships of Soil Moisture Characteristics to the Physical Properties of Soils , 1984 .
[96] Konstantine P. Georgakakos,et al. Potential value of operationally available and spatially distributed ensemble soil water estimates for agriculture , 2006 .
[97] C. A. Meaney,et al. Farnsworth, R.K. and Thompson, E.S., 1982. "Evaporation Atlas for the Contiguous 48 United States. NOAA Technical Report NWS 33", National Weather Service. Washington, DC. , 2012 .
[98] Hoshin Vijai Gupta,et al. On the ability to infer spatial catchment variability using streamflow hydrographs , 2011 .
[99] V. Koren,et al. STATISTICAL COMPARISON OF MEAN AREAL PRECIPITATION ESTIMATES FROM WSR-88D, OPERATIONAL AND HISTORICAL GAGE NETWORKS , 2000 .