She does research in operational hydrologic forecasting, flood risk, hydrologic modeling, uncertainty modeling and propagation, forecast. He held scientist positions at lawrence livermore national laboratory and noaa hydrology laboratory. Sign up for your own profile on github, the best place to host code, manage projects, and build software alongside 40 million developers. The algorithm was programmed by qingyun duan at the department of hydrology. He is a recipient of the chinese onethousand talents program and a faculty. Yuhan shi1,2, wei gong1,2, qingyun duan1,2, jackson charles3, cunde xiao1 and heng wang1,2 abstract earth system models esms consist of parameterization schemes based on ones perception of how the earth system functions. Parameter identification to estimate discharges of. The ensemble verification system evs is a flexible, userfriendly, software tool that is designed to verify ensemble forecasts of numeric variables, such as temperature, precipitation and streamflow. We investigated changes in the temporospatial features of hourly precipitation during the warm season over mainland china. Despite the popularity of crr models, reports in the literature indicate that it is typically difficult, if not impossible, to obtain unique optimal values for their parameters using automatic calibration methods. Soroosh sorooshian and qingyun duan 20002002 university of arizona, m. Mannings roughness coefficient, n, is one of the most important parameters in hydrological calculations representing the loss of energy in open channels. Collaborative sharing of multidimensional spacetime data in a next generation hydrologic information system.
A read is counted each time someone views a publication summary such as the title, abstract, and list of authors, clicks on a figure, or views or downloads the fulltext. Qingyun duan, hoshin gupta, soroosh sorooshian, alain rousseau, and. An evaluation of adaptive surrogate modeling based optimizationwith two benchmark problems chen wang, qingyun duan, wei gong, aizhong ye, zhenhua di, chiyuan miao state key laboratory for earth surface processes and resource ecology, college of global change and earth system science, beijing normal university. Surface hydrology, hydrologic model development and calibration, hydrological ensemble.
Parameter identification to estimate discharges of multiple. Linkage between hourly precipitation events and atmospheric. Water resources research publishes original research articles and commentaries on hydrology, water resources, and the social sciences of water and that provide a broad understanding of the role of water in earths system. This implies that we need tailormade and sitespecific models.
Evaluation and application of bayesian multimodel estimation. Engineering hydrology class lectures and notes definition. Hoshin gupta professor of hydrology and water resources, the university of arizona verified email at hwr. Handbook of hydrometeorological ensemble forecasting by qingyun duan, 9783642399244, available at book depository with free delivery worldwide. Gupta b anwsnoaa, 25 east west highway, silver spring, md 20910, usa. Geology, geomorphology, and hydrology of the deschutes river, oregon tells a fascinating story about a striking, sometimes intimidating, landscape that serves to question generalities and is a laboratory in which to study special landforms and the processes that produce them. This paper discusses the requirements for tools to teach these topics. Optimization strategy for efficient and effective calibration of hydrologic models. Free software downloads, over 120000 free to try software. Handbook of hydrometeorological ensemble forecasting. A typical esm contains a large number of parameters i. Choose a web site to get translated content where available and see local events and offers. The runoff coefficient decreased greatly on the loess plateau with an average reduction of 0. Courses or course sections teaching the specific skills needed are slowly making their way into the curriculum.
Qingyun duan, hoshin gupta, soroosh sorooshian, alain rousseau, and richard turcotte, 3152. The changing relationship between rainfall and surface. Curriculum vitae for qingyun duan asia oceania geosciences. Hydrology laboratory, office of hydrologic development, noaanws, silver spring, maryland. Hydrology editor, bulletin of american meteorological society, since 2001 editorial board member, environmental modeling and software, since 2015 regional editor for asia, international journal of water, since 42012. Abstract the successful application of a conceptual rainfallrunoff crr model depends on how well it is calibrated. Calibration of watershed models water science and application.
The changing relationship between rainfall and surface runoff. Qingyun duan is the chief scientist and a professor at beijing normal university bnu, college of global change and earth system science. Hydrology elsevier journal of hydrology 158 1994 265284 1 optimal use of the sceua global optimization method for calibrating watershed models qingyun duan a, soroosh sorooshian b, vijai k. It can be applied to forecasts from any number of discrete locations, which may be issued with any frequency and lead time. Automatic model calibration for improving numerical weather. Julie demargne currently works at hydris hydrology. Most recently used routing models have been based on the saint venant equations or their approximations, such as a kinematic wave, noninertia wave, linear diffusionwave wang et al. Qingyun duan is currently a professor of hydrology and water resources at the institute of land surface system science and sustainable development of beijing normal university bnu in china. All content in this area was uploaded by qingyun duan on dec 02, 2017. Citescore values are based on citation counts in a given year e. Citeseerx scientific documents that cite the following paper.
Three decades of the shuffled complex evolution sceua. Effective and efficient global optimization for conceptual. Being able to work with mathematical models of hydrological and environmental systems becomes increasingly important for students of civil and environmental engineering departments. Pdf optimal use of the sceua global optimization method. Two recent research projects, in collaboration with ceh wallingford, the university of arizona and penn state university, have developed tools, methodologies and case studies for model regionalisation and prediction of flows in ungauged catchments. Prior to his current position, he worked at noaa hydrology laboratory from 1991 to 2003 and lawrence livermore national laboratory from 2004 to 2009. Qingyun duan, state key laboratory of earth surface processes and resource ecology, college of global change and earth system science, beijing normal university, beijing 100875, peoples republic of china. Effective and efficient global optimization for conceptual rainfallrunoff models. How parameter specification of an earth system model of. Mathworks is the leading developer of mathematical computing software for engineers and scientists. Qingyun duan is currently a professor of hydrology and water resources at the.
Introducing uncertainty quantification python laboratory uq. Regionalisation of rainfallrunoff models research groups. This program can be used to compute overall and event goodnessoffit statistics. Shuffled complex evolution sceua method file exchange. The mopex dataset for the usa catchments is available on request from qingyun duan. May 17, 2005 the sceua method is a general purpose global optimization program. The sceua method is a general purpose global optimization program. The variation of water production from catchments can be calculated and described by hydrology.
An evaluation of postprocessed tigge multimodel ensemble precipitation forecast in the huai river basin yumeng taoa,b, qingyun duana. Surface hydrology, hydrologic model development and calibration, hydrological ensemble forecasting. Use of a priori parameters estimates in the derivation of spatially consistent parameter sets of rainfallrunoff models, victor koren, michael smith, and qingyun duan. Large sample basin experiments for hydrological model parameterization. Kop handbook of hydrometeorological ensemble forecasting av qingyun duan, florian pappenberger, andy wood, hannah l cloke, john c schaake pa. New approaches to improving nwp generated precipitaon predicons qingyun duan beijing normal university february 8, 2017 the 29th session of the gewex scienh. Hydrologic model calibration in the national weather service, michael smith, don laurine, victor koren, seann reed, and ziya zhang. Duan is a recipient of chinese government onethousand talents program. Qingyun is interested in market design and game theory. Large sample basin experiments for hydrological model. Mar 29, 2017 sensitivity analysis sa has been widely used to screen out a small number of sensitive parameters for model outputs from all adjustable parameters in weather and climate models, helping to improve model predictions by tuning the parameters.
The talents program awardee, chinese ministry of human resources, 2010. Hydrological ensemble prediction a new paradigm in hydrological forecasting qingyun duan college of hydrology and water resources hohai university. He is a recipient of the chinese onethousand talents program and a faculty member in the department of geographical science at bnu. Hydrological ensemble prediction a new paradigm in. Effective and efficient global optimization for conceptual rainfallrunoff models qingyun duan, soroosh sorooshian, and vijai gupta department of hydrology and water resources, university of arizona, tucson the successful application of a conceptual rainfallrunoff crr model depends on how well it is calibrated. This has included develoment of the rrmt software, testing the suitability of selected conceptual model structures, assessing model structural error, testing established and novel methods for regionalisation, and applying the frameworks to a large database of uk catchments. Qingyun duan of hohai university, nanjing read 246 publications contact qingyun duan. N2 the difficulties involved in calibrating conceptual watershed models have, in the past, been partly attributable to the lack of robust.
The medal has been awarded biennially since 1976 and awarded annually starting in 1995. Qingyun duan1, chen wang1, zhenhua di1, jiping quan1, charles tong2 1college of global change and earth system science, beijing normal university, beijing, china 2 lawrence livermore national laboratory, ca email. Jingwen zhang, xu wang, pan liu, xiaohui lei, zejun li, wei gong, qingyun duan and hao wang, assessing the weighted multiobjective adaptive surrogate model optimization to derive largescale reservoir operating rules with sensitivity analysis, journal of hydrology, 10. T1 optimal use of the sceua global optimization method for calibrating watershed models. Professor of water and environmental engineering, university of bristol, uk. New approaches to improving nwp generated precipitaon. Qingyun duan is a professor of hydrology and water resources at beijing normal university bnu in china. Qingyun duan phd 91 2015 elected fellow, american meteorological society xiaogang gao phd 93 2014 outstanding engineering educator award, orange county engineering council ocec david c.
Goodrich phd 90 20 elected fellow, american geophysical union paul r. Automatic model calibration for improving numerical. Automatic model calibration for improving numerical weather forecasting. Automatic calibration of a distributed catchment model. Lifeng luo is a faculty member of the department of geography, environment, and spatial sciences at michigan state university. The 1stopt search of optimization capability is stronger than that of other simulation software because it can find relatively accurate results from any initial value tang et al. Introducing uncertainty quantification python laboratory.
Qingyun duan as part of his doctoral dissertation work at the department of hydrology and water resources, university of arizona, tucson, az 85721, usa. Verified email at hhu hydrology water resources uncertainty quantification. The user of a watershed hydrology model must specify the model parameters before the. Based on the optimization software package 1stopt, multiple nonlinear regression can be easily established and solved wang et al.
Agu galvanizes a community of earth and space scientists that collaboratively advances and communicates science and its power to ensure a sustainable future. Dynamic mannings roughness coefficients for hydrological. Horton medal is for outstanding contribution to the geophysical aspects of hydrology. Jun 30, 2016 hydrological monitoring and seasonal forecasting is an active research field because of its potential applications in hydrological risk assessment, preparedness and mitigation. As a result of heterogeneity occurring at all scales in hydrology, there always remains a need for calibration of models. Only flexible models are fit for this modelling process, as opposed to most of the established software. In recent decades, developments in ground and satellite measurements have made the hydrometeorological information readily available, and advances in information technology have facilitated the data analysis in a real. Introduction uqpyl short for uncertainty quantification python laboratory is a software. Yamei wang, qingyun duan and xiaoming zhang, contribution analysis of the longterm changes in seasonal. Wentao li, qingyun duan, aizhong ye and chiyuan miao, an improved metagaussian distribution model for postprocessing of precipitation forecasts by censored maximum likelihood estimation, journal of hydrology, 10. This program can be used to compute overall and event goodnessoffit. Optimal use of the sceua global optimization method for calibrating watershed models. In particular, he enjoy analyzing matching problems using combinatorial techniques.
His research interests include surface hydrology, development. An evaluation of adaptive surrogate modeling based. Sceua searches for the global optimumof a function by evolving clusters of samples drawn from the parameter space, via a systematiccompetitive evolutionary process. Some publicly available optimization software demonstrates good performance and quality and helps the researchers in hydroinformatics. College of global change and earth system sciences, beijing normal. She has over ten years experience across academia and industry. Regionalisation of rainfallrunoff models prof h wheater, dr n mcintyre two recent research projects, in collaboration with ceh wallingford, the university of arizona and penn state university, have developed tools, methodologies and case studies for model regionalisation and prediction of flows in ungauged catchments. Review of surrogate modeling in water resources razavi. The shuffled complex evolution sceua method developed at the university of arizona is a global optimization algorithm, initially developed by 1 for the calibrationof conceptual rainfallrunoff crr models. Noah landsurface model lsm users guide public release version 2.
Calibration of watershed models water science and application qingyun duan, hoshin v. Optimal use of the sceua global optimization method for. The frequency and amount of hourly precipitation displayed latitudinal. Global optimization for watershed model calibration, qingyun duan. Results from the second international workshop on model parameter estimation experiment mopex qingyun duan and john schaake hydrology laboratory, office of hydrologic development national weather service, noaa silver spring, md abstract model parameter estimation experiment mopex was funded by noaa office of global programs to investigate techniques for the. Hydrology is used to find out maximum probable flood at proposed sites e. Bams editors and staff contacts american meteorological. Ohdhl hydrologic model calibration national weather service.
Tuning numerical weather prediction models with uncertainty quantification methods. He worked as a postdoc and then research scientist in the department of civil and environmental. He is currently on editorial boards of several scientific journals and was the lead editor of the american geophysical union water science and applications monograph. Generation of probabilistic predictions in both the lsmom and mlml approaches, probabilistic predictions are represented using replicates q r q t r, t 1, t for r 1, r, where r is the total number of replicates.