The Journal of
the Korean Society on Water Environment

The Journal of
the Korean Society on Water Environment

Bimonthly
  • ISSN : 2289-0971 (Print)
  • ISSN : 2289-098X (Online)
  • KCI Accredited Journal

Editorial Office

References

1 
Abbaspour K., Yang J., Maximov I., Siber R., Bogner K, Mieleitner J., Srinivasan R., 2007, Modelling hydrology and water quality in the pre-Alpine/Alpine thur watershed using SWAT,, Journal of Hydrology,, Vol. 333, pp. 413-430Google Search
2 
Allen R. G., Pereira L. S., Raes D., Smith M., 1998, Crop evapotranspiration-guidelines for computing crop water requirements-FAO irrigation and drainage paper 56,, Food and Agriculture Organization of the United Nations,
3 
Bae D., 1997, Development of stochastic real-time flood forecast system by storage function method,, [Korean Literature], Journal of Korea Water Resources Association,, Vol. 30, No. 5, pp. 449-457Google Search
4 
Bae D., Lee B., Georgakakos K., 2009, Stochastic continuous storage function model with ensemble Kalman filtering (I): Model development,, [Korean Literature], Journal of Korea Water Resources Association,, Vol. 42, No. 11, pp. 953-961DOI
5 
Brocca L., Melone F., Moramarco T., Wagner W., Naeimi V., Bartalis Z., Hasenauer S., 2010, Improving runoff prediction through the assimilation of the ASCAT soil moisture product,, Hydrology and Earth System Sciences,, Vol. 14, pp. 1881-1893DOI
6 
Chen F., Crow W., Starks P., Moriasi D., 2011, Improving hydrologic predictions of a catchment model via assimilation of surface soil moisture,, Advances in Water Resources,, Vol. 34, pp. 526-536DOI
7 
Cloke H., Pappenberger F., 2009, Ensemble flood forecasting: a review,, Journal of Hydrology,, Vol. 375, pp. 613-626DOI
8 
De Lannoy G., Houser P., Pauwels V., Verhoest N., 2007, State and bias estimation for soil moisture profiles by an ensemble Kalman filter: effect of assimilation depth and frequency,, W06401. ttp://dx. doi.org/10.1029/2006WR005100, Water Resources Research,, Vol. 43DOI
9 
Demargne J., Wu L., Regonda S., Brown J., Lee H., He M., Seo D., Hartman R., Fresch M., Zhu Y., 2014, The science of NOAA’s operational hydrologic ensemble forecast service,, Bulletin of the American Meteorological Society,, Vol. 95, No. 1, pp. 79-98DOI
10 
Evensen G., 2003, The ensemble Kalman filter: theoretical formulation and practical implementation,, Ocean Dynamics,, Vol. 53, pp. 343-367DOI
11 
Gupta H., Kling H., Yilmaz K., Martinez G., 2009, Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling,, Journal of Hydrology,, Vol. 377, No. 1-2, pp. 80-91DOI
12 
Han River Flood Control Office (HRFCO)., 2020, http://www.wamis.go.kr (accessed Sept. 2020)., Water Resources Management Information System (WAMIS),
13 
Jazwinski A., 1970, Stochastic processes and filtering theory,, Academic Press,, Vol. 376Google Search
14 
Joh H., Park J., Jang C., Kim S., 2012, Comparing prediction uncertainty analysis techniques of SWAT simulated streamflow applied to Chungju dam watershed,, [Korean Literature], Journal of Korea Water Resources Association,, Vol. 45, No. 9, pp. 861-874DOI
15 
Kalman R., 1960, A new approach to linear filtering and prediction problems,, Journal of Basic Engineering,, Vol. 82, No. 1, pp. 35-45DOI
16 
Kim R., Won J., Choi J., Lee O., Kim S., 2020, Application of Bayesian approach to parameter estimation of TANK model: Comparison of MCMC and GLUE methods,, [Korean Literature], Journal of Korean Society on Water Environment,, Vol. 36, No. 4, pp. 300-313Google Search
17 
Leach J., Kornelsen K., Coulibaly P., 2018, Assimilation of near-real time data products into models of an urban basin,, Journal of Hydrology,, Vol. 563, pp. 51-64Google Search
18 
Lee B., Bae D., 2011, Streamflow forecast model on Nakdong river basin,, [Korean Literature], Journal of Korea Water Resources Association,, Vol. 44, No. 1, pp. 853-861DOI
19 
Lee D., Kim Y., Yu W., Lee G., 2017, Evaluation on applicability of on/off-line parameter calibration techniques in rainfall-runoff modeling,, [Korean Literature], Journal of Korea Water Resources Association,, Vol. 50, No. 4, pp. 241-252Google Search
20 
Lee O., Choi J., Sim I., Won J., Kim S., 2020, Stochastic parsimonious hydrologic partitioning model under East Asia Monsoon climate and its application to climate change,, Water,, Vol. 12, No. 1, pp. 25DOI
21 
Li Z., Navon I., 2001, Optimality of variational data assimilation and its relationship with the Kalman filter and smoother,, Quarterly Journal of the Royal Meteorological Society,, Vol. 127, No. 572, pp. 661-683Google Search
22 
Liu H., Tian F., Hu H. C., Hu H. P., Siavapalan M., 2013, Soil moisture control on patterns of grass green-up in Inner Mongolia: an index based approach,, Hydrology and Earth System Sciences,, Vol. 17, pp. 805-815DOI
23 
Liu Y., Gupta H., 2007, Uncertainty in hydrologic modeling: toward an integrated data assimilation framework,, W07401., Water Resources Research,, Vol. 43DOI
24 
Maybeck P., 1979, Stochastic models, estimation, and control; Volume 1,, Academic Press,
25 
Me W., Abell J. M., Hamilton D. P., 2015, Effects of hydrologic conditions on SWAT model performance and parameter sensitivity for a small, mixed land use catchment in New Zealand,, Hydrology and Earth System Sciences,, Vol. 19, pp. 4127-4147DOI
26 
Meng S., Xie X., Yu X., 2016, Tracing temporal changes of model parameters in rainfall-runoff modeling via a real-time data assimilation,, Water,, Vol. 8, No. 1, pp. 19DOI
27 
Moradkhani H., Sorooshian S., Gupta H., Houser P., 2005, Dual state-parameter estimation of hydrological models using ensemble Kalman filter,, Advances in Water Resources,, Vol. 28, pp. 135-147DOI
28 
Nash J., Sutcliffe J., 1970, River flow forecasting through conceptual models part I-A discussion of principles,, Journal of Hydrology,, Vol. 10, pp. 282-290DOI
29 
Patil S., Stieglitz M., 2015, Comparing spatial and temporal transferability of hydrological model parameters,, Journal of Hydrology,, Vol. 525, pp. 409-417Google Search
30 
Rafieeinasab A., Seo D., Lee H., Kim S., 2014, Comparative evaluation of maximum likelihood ensemble filter and ensemble Kalman filter for real-time assimilation of streamflow data into operational hydrologic models,, Journal of Hydrology,, Vol. 519, pp. 2663-2675DOI
31 
Reichle R., McLaughlin D., Entekhabi D., 2002, Hydrologic data assimilation with the ensemble Kalman filter,, 10.1175/1520-0493(2002)130<0103:hdawte>2.0.co;2, Monthly Weather Review,, Vol. 130, No. 1, pp. 103-114Google Search
32 
Ritter A., Munoz-Carpena R., 2013, Performance evaluation of hydrological models: statistical significance for reducing subjectivity in goodness-of-fit assessments,, Journal of Hydrology,, Vol. 480, pp. 33-45DOI
33 
Ryu J., Kang H., Choi J., Kong D., Gum D., Jang C., Lim K., 2012, Application of SWAT-CUP for streamflow auto-calibration at Soyang-gang dam watershed,, [Korean Literature], Journal of Korean Society on Water Environment,, Vol. 28, No. 3, pp. 347-358Google Search
34 
Schaake J., Hamill T., Buizza R., Clark M., 2007, HEPEX, the hydrological ensemble prediction experiment,, Bulletin of the American Meteorological Society,, Vol. 88, pp. 1541-1547Google Search
35 
Schellekens J., Weerts A., Moore R., Pierce C., Hildon S., 2011, The use of MOGREPS ensemble rainfall forecasts in operational flood forecasting systems across England and Wales,, Advances in Geosciences,, Vol. 29, pp. 77-84DOI
36 
Thielen J., Schaake J., Hartman R., Buizza R., 2008, Aims, challenges and progress of the Hydrological Ensemble Prediction Experiment (HEPEX). following the third HEPEX workshop held in Stresa 27 to 29 June 2007., Atmospheric Science Letters,, Vol. 9, No. 2, pp. 29-35DOI
37 
Troch P., Paniconi C., McLaughlin D., 2003, Catchment- scale hydrological modeling and data assimilation,, Advances in Water Resources,, Vol. 26, pp. 131-135Google Search
38 
U.S. Department of Agriculture-Soil Conservation Service (USDA-SCS)., 1985, National engineering handbook, Section 4, Hydrology,, U.S. Department of Agriculture Soil Conservation Service,
39 
Weerts A., Serafy G., 2006, Particle filtering and ensemble Kalman filtering for state updating with hydrological conceptual rainfall-runoff models,, W09403., Water Resources Research,, Vol. 42, No. 9DOI
40 
Werner K., Brandon D., Clark M., Gangopadhyay S., 2005, Incorporating medium range numerical weather model output into the ensemble streamflow prediction system of the national weather service,, Journal of Hydrometeorology,, Vol. 6, pp. 101-114DOI
41 
Werner M., Cranston M., Harrison T., Whitfield D., Schellekens J., 2009, Recent developments in operational flood forecasting in England,, Wales and Scotland. Meteorological Applications,, Vol. 16, No. 1, pp. 13-22DOI
42 
Xie X., Zheng D., 2010, Data assimilation for distributed hydrological catchment modeling via ensemble Kalman filter,, Advances in Water Resources,, Vol. 33, No. 6, pp. 678-690DOI