미국 National Water Model의 현재와 미래, 시사점

  • 노성진 (금오공과대학교 토목공학과)
  • Published : 2020.02.21

Abstract

Keywords

References

  1. Beven, K., 2016. Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood hypothesis testing, and communication, Hydrological Sciences Journal 61, 1652-1665. https://doi.org/10.1080/02626667.2015.1031761
  2. Gochis, D., Barlage, M., Dugger, A., FrtzGeraId, K., Kasten, L., McAlister, M., McCreigtt. J., Mils, J., Pan. L., RafieeiNasab, A., Read. L, Sampson K., Yates, D., Yu, W., Zhang, Y., 2018, WRF-Hydro Model Source Code Version 5 [WWW Document]. WRF-Hydro Model Source Code Version 5. https://doi.org/10.5065/d6j38rbj
  3. Lee, H., Shen, H., Noh. S.J., Kim. S., Seo, D.-.J., Zhang. Y., 2019. Improving flood forecasting using conditional bias-penalized ensemble Kalman filter, Journal of Hydrology 575, 596-611. https://doi.org/10.1016/j.hydrol.2019.05.072
  4. Noh, S.J., Seo, D.-J., McCreight, J., RafieeiNasab, A., Hoar, T.J., El Gharamti, M., Gochis, D., Cosgrove, B., Vukicevic, T., 2019. Rea-Time Assimilation of Streamflow into the National Water Model Channel Routing Using Coupled WRF-Hydro and DART. Presented at the 99th American Meteorological Society Annual Meeting, AMS, Phoenix, Arizona, USA.
  5. Noh, S.J., Tachikawa, Y., Shiiba, M., Kim, S., 2013. Ensemble Kalman Filtering and Particle Filtering in a Lag-Time Window for Short-Term Steamflow Forecasting with a Distributed Hydrologic Model, Journal of Hydrologic Engineering 18, 1684-1696. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000751
  6. Noh, S.J., Weerts, A., Rakovec, O., Lee. H., Seo, D.-J., 2018. Assimilation of Streamflow Observation, in: Duan, Q., Pappenberger, F., Thielen, J., Wood, A., Cloke, H.L., Schaake, J.C. (Eds.), Handbook of Hydrometeorological Ensemble Forecasting. Spinger Berlin Heidelberg, Berin, Heidelberg. pp. 1-36. https://doi.org/10.1007/978-3-642-40457-3_33-1
  7. NWS, 2019. River Forecasts by National Weather Service, NOAA [WWW Document]. URL https://water.weather.gov/ahps/forecasts.php (accessed 2.16.20).
  8. OWP, 2019. About the National Water Model [WWW Document]. URL https://water.noaa.gov/about/nwm (accessed 2. 16.20).
  9. Seo, D.-J., Siddique, R., Zhang, Y., Kim, D., 2014. Improving real-time estimation of heavy-to-extreme precipitation using rain gauge data via conditional bias-penalized optimal estimation. Journal of Hydrology 519. Part B. 1824-1835. https://doi.org/10.1016/j.jhydrol,2014.09.055