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2024 Vol.57, Issue 12 Preview Page

Research Article

31 December 2024. pp. 1109-1119
Abstract
References
1

Arnold, J.G., Srinivasan, R., Muttiah, R.S., and Williams, J.R. (1998). "Large area hydrologic modeling and assessment part I: model development 1." JAWRA Journal of the American Water Resources Association, Vol. 34, No. 1, pp. 73-89.

10.1111/j.1752-1688.1998.tb05961.x
2

Bai, P., Liu, X., and Xie, J. (2021). "Simulating runoff under changing climatic conditions: A comparison of the long short-term memory network with two conceptual hydrologic models." Journal of Hydrology, Vol. 592, 125779.

10.1016/j.jhydrol.2020.125779
3

Broderick, C., Matthews, T., Wilby, R.L., Bastola, S., and Murphy, C. (2016). "Transferability of hydrological models and ensemble averaging methods between contrasting climatic periods." Water Resources Research, Vol. 52, No. 10, pp. 8343-8373.

10.1002/2016WR018850
4

Chae, S.T., Chung, E.S., and Kim, D. (2024). "Evaluation of optimized multi-model ensembles for extreme precipitation projection considering various objective functions." Water Resources Management, Vol. 38, pp. 5865-5883.

10.1007/s11269-024-03948-z
5

Feng, K., Zhou, J., Liu, Y., Lu, C., and He, Z. (2019). "Hydrological uncertainty processor (HUP) with estimation of the marginal distribution by a Gaussian mixture model." Water Resources Management, Vol. 33, pp. 2975-2990.

10.1007/s11269-019-02260-5
6

Gupta, H.V., Kling, H., Yilmaz, K.K., and Martinez, G.F. (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. 80-91.

10.1016/j.jhydrol.2009.08.003
7

Kim, J.H., Song, Y.H. and Chung, E.S. (2023). "Uncertainty of future runoff projection according to SSP scenarios and hydrologic model parameters." Journal of Korea Water Resources Association, Vol. 56, No. 1, pp. 35-43.

10.21203/rs.3.rs-2419580/v1
8

Kim, J.H., Sung, J.H., Chung, E.S., Kim, S.U., Son, M., and Shiru, M.S. (2021). "Comparison of projection in meteorological and hydrological droughts in the Cheongmicheon Watershed for RCP4. 5 and SSP2-4.5." Sustainability, Vol. 13, No.4, 2066.

10.3390/su13042066
9

Lee, S., Qi, J., McCarty, G.W., Yeo, I.Y., Zhang, X., Moglen, G.E., and Du, L. (2021). "Uncertainty assessment of multi-parameter, multi-GCM, and multi-RCP simulations for streamflow and non-floodplain wetland (NFW) water storage." Journal of Hydrology, Vol. 600, 126564.

10.1016/j.jhydrol.2021.126564
10

Mahabadi, S.A., and Delavar, M. (2024). "Evaluation and comparison of different methods for determining the contribution of climatic factors and direct human interventions in reducing watershed discharge." Ecological Indicators, Vol. 158, 111480.

10.1016/j.ecolind.2023.111480
11

Milly, P.C., Betancourt, J., Falkenmark, M., Hirsch, R.M., Kundzewicz, Z.W., Lettenmaier, D.P., and Stouffer, R.J. (2008). "Stationarity is dead: Whither water management?" Science, Vol. 319, No. 5863, pp. 573-574.

10.1126/science.115191518239110
12

Motavita, D.F., Chow, R., Guthke, A., and Nowak, W. (2019). "The comprehensive differential split-sample test: A stress-test for hydrological model robustness under climate variability." Journal of Hydrology, Vol. 573, pp. 501-515.

10.1016/j.jhydrol.2019.03.054
13

Nalbantis, I., and Tsakiris, G. (2009). "Assessment of hydrological drought revisited." Water Resources Management, Vol. 23, pp. 881-897.

10.1007/s11269-008-9305-1
14

Nguyen, T.V., Dietrich, J., Dang, T.D., Tran, D.A., Van Doan, B., Sarrazin, F.J., Abbaspour, K. and Srinivasan, R. (2022). "An interactive graphical interface tool for parameter calibration, sensitivity analysis, uncertainty analysis, and visualization for the Soil and Water Assessment Tool." Environmental Modelling & Software, Vol. 156, 105497.

10.1016/j.envsoft.2022.105497
15

O'Neill, B.C., Tebaldi, C., Van Vuuren, D.P., Eyring, V., Friedlingstein, P., Hurtt, G., Knutti, R., Kriegler, E., Lamarque, J.F., and Lowe, J. et al. (2016). "The scenario model intercomparison project (ScenarioMIP) for CMIP6." Geoscientific Model Development, Vol. 9, No. 9, pp. 3461-3482.

10.5194/gmd-9-3461-2016
16

Shi, L., Feng, P., Wang, B., Li Liu, D., Zhang, H., Liu, J., and Yu, Q. (2022). "Assessing future runoff changes with different potential evapotranspiration inputs based on multi-model ensemble of CMIP5 projections." Journal of Hydrology, Vol. 612, 128042.

10.1016/j.jhydrol.2022.128042
17

Shin, M.J., and Jung, Y. (2022). "Using a global sensitivity analysis to estimate the appropriate length of calibration period in the presence of high hydrological model uncertainty." Journal of Hydrology, Vol. 607, 127546.

10.1016/j.jhydrol.2022.127546
18

Song, Y.H., Chung, E.S., and Shiru, M.S. (2020). "Uncertainty analysis of monthly precipitation in GCMs using multiple bias correction methods under different RCPs." Sustainability, Vol. 12, No. 18, 7508.

10.3390/su12187508
19

Van Loon, A.F., Stahl, K., Di Baldassarre, G., Clark, J., Rangecroft, S., Wanders, N., Gleeson, T., Van Dijk, A.I., Tallaksen, L.M., Hannaford, J., and Uijlenhoet, R. (2016). "Drought in a human- modified world: reframing drought definitions, understanding, and analysis approaches." Hydrology and Earth System Sciences, Vol. 20, No. 9, pp. 3631-3650.

10.5194/hess-20-3631-2016
20

Vetter, T., Huang, S., Aich, V., Yang, T., Wang, X., Krysanova, V., and Hattermann, F. (2015). "Multi-model climate impact assessment and intercomparison for three large-scale river basins on three continents." Earth System Dynamics, Vol. 6, No. 1, pp. 17-43.

10.5194/esd-6-17-2015
21

Wang, A., Miao, Y., Kong, X., and Wu, H. (2022). "Future changes in global runoff and runoff coefficient from CMIP6 multi- model simulation under SSP1 2.6 and SSP5 8.5 scenarios." Earth's Future, Vol. 10, No. 12, e2022EF002910.

10.1029/2022EF002910
22

Wang, H.M., Chen, J., Xu, C.Y., Zhang, J., and Chen, H. (2020). "A framework to quantify the uncertainty contribution of GCMs over multiple sources in hydrological impacts of climate change." Earth's Future, Vol, 8, No. 8, e2020EF001602.

10.1029/2020EF001602
23

Zhang, X., Song, S., and Guo, T. (2024). "Nonlinear segmental runoff ensemble prediction model Using BMA." Water Resources Management, Vol. 38, No. 9, pp. 3429-3446.

10.1007/s11269-024-03824-w
24

Ziarh, G.F., Kim, J.H., Song, J.Y., and Chung, E.S. (2024). "Quantifying uncertainty in runoff simulation according to multiple evaluation metrics and varying calibration data length." Water, Vol. 16, No. 4, 517.

10.3390/w16040517
Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 57
  • No :12
  • Pages :1109-1119
  • Received Date : 2024-10-31
  • Revised Date : 2024-12-05
  • Accepted Date : 2024-12-06