Abstract
Having provided an overview of the ideas of developing user-oriented interactive forecast system (UIFS) emerging in recent years, the authors proposed an idealized framework of the new-generation meteorological system, which includes the initial user-end module for configuring the forecast target, the physical predictive and downscaling components, and an incessant assessing module in association with decision-making at the user-end. A case study was carried out with a focus on applying the TIGGE (THORPEX Interactive Grand Global Ensemble; THORPEX stands for The Observing System Research and Predictability Experiment) precipitation forecasts for the hydrological users in Linyi, a region richest in rivers and reservoirs in eastern China. The preliminary results exhibited great potential of improvement in applications of weather forecasts by combining the user-end information. Although the TIGGE results provided by existing national/ international operating models were independent from the user-end, the case study enlightened ways of establishing an iteratively self-improving UIFS involving user-orientation throughout the forecast process.
Similar content being viewed by others
References
Casati, B., L. J. Wilson, D. B. Stephenson, et al., 2008: Forecast verification: Current status and future directions. Meteor. Appl., 15, 3–18.
Chen Dehui and Xue Jisan, 2006: Recent progress on GRAPES research and application. J. Appl. Meteor. Sci., 17, 773–777. (in Chinese)
Cunderlik, J. M., and S. P. Simonovic, 2007: Inverse flood risk modeling under changing climatic conditions. Hydro. Processes, 21(5), 563–577.
De Elía, R., and R. Laprise, 2005: Diversity in interpretations of probability: Implications for weather forecasting. Mon. Wea. Rev., 133, 1129–1143.
Demuth, J. L., E. Gruntfest, R. E. Morss, S. Drobot, and J. K. Lazo, 2007: Building a community for integrating meteorology and social science. Bull. Amer. Meteor. Soc., 88, 1729–1737.
Fowler, H. J., S. Blenkinsop, and C. Tebaldi, 2007: Linking climate change modeling to impacts studies: Recent advances in downscaling techniques for hydrological modelling. Int. J. Climatol., 27, 1547–1578.
Gneiting, T., and A. E. Raftery, 2005: Atmospheric science: Weather forecasting with ensemble methods. Science, 310, 248–249.
Han Jiarui, 2007: Study on public needs and the role of media in weather services. Master thesis, Chinese Academy of Meteorological Sciences, 66 pp. (in Chinese)
—, 2010: User-oriented interactive forecasting system. Ph. D. dissertation, Institute of Atmospheric Physics, Chinese Academy of Sciences, 149 pp. (in Chinese)
—, Yan Zhongwei, Jiao Meiyan, et al., 2011: Developing a user-oriented interactive forecast system. Meteor. Mon., 37(6), 649–658. (in Chinese)
Hu, Q., L. M. P. Zillig, G. D. Lynne, et al., 2006: Understanding farmers’ forecast use from their beliefs, values, social norms, and perceived obstacles. J. Appl. Meteor. Climatol., 45, 1190–1201.
Ji Yongming, Chen Jing, Jiao Meiyan, et al., 2011: The preliminary experiment of GRAPES-Meso ensemble prediction based on TIGGE data. Meteor. Mon., 37(4), 392–402. (in Chinese)
Li Xiaoyan and Gong Jiadong, 2001: The experimental research of runoff yielding rainfall threshold in artificial catchments. J. Soil Water Conserve, 12(4), 516–522. (in Chinese)
Li Zechun and Chen Dehui, 2002: The development and application of operational ensemble prediction system at National Meteorological Center. J. Appl. Meteor. Sci., 13, 1–15. (in Chinese)
Liu Jintao and Zhang Jiabao, 2006: Effect of antecedent soil water content on the uncertainty of hydrological simulation. J. Glaciol. Geocryol., 28(4), 519–525. (in Chinese)
Martina, M. L. V., E. Todini, and A. Libralon, 2009: Rainfall thresholds for flood warning systems: A Bayesian decision approach. Hydrological Modelling and the Water Cycle, S. Sorooshian et al., Eds., Springer Scienc+Business Media B. V., 203–227.
Mass, C., 2006: The uncoordinated giant—Why US weather research and prediction are not achieving their potential. Bull. Amer. Meteor. Soc., 87, 573–584.
Morgan, M. C., D. D. Houghton, and L. M. Keller, 2007: The future of medium-extended-range weather prediction—Challenges and a vision. Bull. Amer. Meteor. Soc., 88, 631–634.
Morss, R. E., O. V. Wilhelmi, M. W. Downton, and E. Gruntfest, 2005: Flood risk, uncertainty, and scientific information for decision making—Lessons from an interdisciplinary project. Bull. Amer. Meteor. Soc., 86, 1593–1601.
Mylne, K. R., 2002: Decision-making from probability forecasts based on forecast value. Meteor. Appl., 9, 307–315.
Palmer, T. N., 2002: The economic value of ensemble forecasts as a tool for risk assessment: From days to decades. Quart. J. Roy. Meteor. Soc., 128, 747–774.
Perry, J. S., 1976: Atmospheric sciences and problems of society. Bull. Amer. Meteor. Soc., 57, 199–212.
Pielke, R. A., 1999: Who decides forecasts and responsibilities in the 1997 Red River flood. Appl. Behavioral Sci. Rev., 7, 83–101.
—, and R. E. Carbone, 2002: Weather impacts, forecasts, and policy—An integrated perspective. Bull. Amer. Meteor. Soc., 83, 393–403.
Rabier, F., P. Gauthier, C. Cardinali, et al., 2008: An update on THORPEX-related research in data assimilation and observing strategies. Nonlinear Proc. Geoph., 15, 81–94.
Richardson, D., R. Buizza, and R. Hagedorn, 2005: First workshop on the THORPEX interactive grand global ensemble (TIGGE). WMO, WWRP, document (available at http://imgi.uibk.ac.at/MEhrendorfer/research/projects/thorpex_docs/tigge_first_workshop_report.pdf), 1, 39.
Roulston, M. S., and L. A. Smith, 2002: Evaluating probabilistic forecasts using information theory. Mon. Wea. Rev., 130, 1653–1660.
Sarewitz, D. R., and R. A. Pielke, 2000: Prediction in science and policy. Prediction: Science, Decision Making, and the Future of Nature. Sarewitz D. R., R. A. Pielke, and R. Byerly, Eds., Island Press, 11–22.
Shapiro, M. A., and A. J. Thorpe, 2004: THORPEX International Science Plan. WMO, WWRP, document (available at http://www.wmo.int/thorpex/publications.html).
Stewart, T. R., 1997: Forecast value: Descriptive decision studies. Economic Value of Weather and Climate Forecasts. Cambridge University Press, 147–181.
Stone, R. C., and H. Meinke, 2006: Weather, climate, and farmers: An overview. Meteor. Appl., 13, 7–20.
Thorpe, A. J., 2004: Weather forecast: A century perspective. Weather, 59, 332–335.
Wang Hao, Lei Xiaohui, Qin Dayong, et al., 2003: Basin runoff yielding model construction based on human activities. Resources Sci., 25(6), 11–18. (in Chinese)
Xu Jingwen, 2010: Development of a basin hydrological model based on soil moisture storage capacity distribution curve integrated with TOPMODEL: Concept and its coupling with the Noah LSM. Ph. D. dissertation, Chinese Academy of Sciences, China. 79–83. (in Chinese)
Ye Duzheng, Yan Zhongwei, Dai Xingang, et al., 2006: A discussion of future system of weather and climate prediction. Meteor. Mon., 32(4), 3–8. (in Chinese)
Young-Youn, P., R. Buizza, and L. Martin, 2008: TIGGE: preliminary results on comparing and combining ensembles. Quart. J. Roy. Meteor. Soc., 134, 2209–2250.
Zhang Qinyun, Tao Shiyan, and Peng Jingbei, 2008: The studies of meteorological disasters over China. Chinese J. Atmos. Sci., 32(4), 815–825. (in Chinese)
Zhang, R. H., and X. S. Shen, 2008: On the development of the GRAPES-A new generation of the national operational NWP system in China. Chinese Sci. Bull., 53, 3429–3432.
Author information
Authors and Affiliations
Corresponding author
Additional information
Supported by the China Meteorological Administration Special Public Welfare Research Fund (GYHY200706001 and GYHY200906007).
Rights and permissions
About this article
Cite this article
Yan, Z., Han, J., Jiao, M. et al. Formation of an interactive user-oriented forecasting system: Experience from hydrological application in Linyi, Eastern China. Acta Meteorol Sin 26, 13–25 (2012). https://doi.org/10.1007/s13351-012-0102-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13351-012-0102-7