참고문헌 (13)

1. Cai, W., Borlace, S., Lengaigne, M., Van Rensch, P., Collins, M., Vecchi, G., ... & Jin, F. F. (2014). Increasing frequency of extreme El Nino events due to greenhouse warming. Nature climate change, 4(2), 111-116. 

   상세보기

2. Cowan, T., Hegerl, G. C., Schurer, A., Tett, S. F., Vautard, R., Yiou, P., ... & Ng, B. (2020). Ocean and land forcing of the record-breaking Dust Bowl heatwaves across central United States. Nature communications, 11(1), 1-9. 

   상세보기

3. Held, I. M., & Soden, B. J. (2006). Robust responses of the hydrological cycle to global warming. Journal of climate, 19(21), 5686-5699. 

   상세보기

4. Kamae, Y., Mei, W., & Xie, S. P. (2019). Ocean warming pattern effects on future changes in East Asian atmospheric rivers. Environmental Research Letters, 14(5), 054019. 

   상세보기

5. Kaur, A., & Sood, S. K. (2020). Deep learning based drought assessment and prediction framework. Ecological Informatics, 57, 101067. 

   상세보기

6. Lorenz, D. J., Otkin, J. A., Svoboda, M., Hain, C. R., & Zhong, Y. (2018). Forecasting rapid drought intensification using the Climate Forecast System (CFS). Journal of Geophysical Research: Atmospheres, 123(16), 8365-8373. 

   상세보기

7. McCabe, G. J., Palecki, M. A., & Betancourt, J. L. (2004). Pacific and Atlantic Ocean influences on multidecadal drought frequency in the United States. Proceedings of the National Academy of Sciences, 101(12), 4136-4141. 

   상세보기

8. Mishra, A. K., & Singh, V. P. (2011). Drought modeling-A review. Journal of Hydrology, 403(1-2), 157-175. 

   상세보기

9. Park, S., Kang, D., Yoo, C., Im, J., & Lee, M. I. (2020). Recent ENSO influence on East African drought during rainy seasons through the synergistic use of satellite and reanalysis data. ISPRS Journal of Photogrammetry and Remote Sensing, 162, 17-26. 

   상세보기

10. Park, S., Im, J., Han, D., & Rhee, J. (2020). Short-Term Forecasting of Satellite-Based Drought Indices Using Their Temporal Patterns and Numerical Model Output. Remote Sensing, 12(21), 3499. 

    상세보기

11. Park, S., Seo, E., Kang, D., Im, J., & Lee, M. I. (2018). Prediction of drought on pentad scale using remote sensing data and MJO index through random forest over East Asia. Remote Sensing, 10(11), 1811. 

    상세보기

12. Seo, E., Lee, M. I., & Reichle, R. H. (2021). Assimilation of SMAP and ASCAT soil moisture retrievals into the JULES land surface model using the Local Ensemble Transform Kalman Filter. Remote Sensing of Environment, 253, 112222. 

    상세보기

13. Zhu, S., Xu, Z., Luo, X., Liu, X., Wang, R., Zhang, M., & Huo, Z.(2020). Internal and external coupling of Gaussian mixture model and deep recurrent network for probabilistic drought forecasting. International Journal of Environmental Science and Technology, 1-16.