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Yanqiu Gao
The ensemble Kalman filter is often used in parameter estimation, which plays an essential role in reducing model errors. However, filter divergence is often encountered in an estimation process, resulting in the convergence of parameters to the improper...
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Yilin Yang, Qiuming Cheng, Jin-Yeu Tsou, Ka-Po Wong, Yanzhuo Men and Yuanzhi Zhang
Under the influence of global warming, the problem of sea-level rise is becoming increasingly prominent. The northern part of the South China Sea (SCS) is low lying, with intense economic development, and densely populated. These characteristics make the...
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Peng Zhang and Zhiwei Wu
Understanding the influence of the El Niño?Southern Oscillation (ENSO) on the North Atlantic Oscillation (NAO) is of critical significance for seasonal prediction. The present study found that both Niño3.4 sea surface temperature anomaly (SSTA) intensity...
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Tristan Shepherd, Jacob J. Coburn, Rebecca J. Barthelmie and Sara C. Pryor
Projected changes to the El Niño Southern Oscillation (ENSO) climate mode have been explored using global Earth system models (ESMs). Regional expressions of such changes have yet to be fully advanced and may require the use of regional downscaling. Here...
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Adam Rus Nugroho, Ichiro Tamagawa and Morihiro Harada
Predicting the streamflow regimes using climate dynamics is important in water resource management. However, in Indonesia, there are few studies targeting climate indices and streamflow. A previous study found difficulty in developing a statistical predi...
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Young-Min Yang, Bin Wang and Juan Li
It has been an outstanding challenge for global climate models to simulate and predict East Asia summer monsoon (EASM) rainfall. This study evaluated the dynamical hindcast skills with the newly developed Nanjing University of Information Science and Tec...
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Jean-Louis Pinault
The purpose of the paper is to take advantage of recent work on the study of resonantly forced baroclinic waves in the tropical Pacific to significantly reduce systematic and random forecasting errors resulting from the current statistical models intende...
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Iqbal Hossain, Rijwana Esha and Monzur Alam Imteaz
The objective of this research is the assessment of the efficiency of a non-linear regression technique in predicting long-term seasonal rainfall. The non-linear models were developed using the lagged (past) values of the climate drivers, which have a si...
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Hok Sum Fok, Qing He, Kwok Pan Chun, Zhiwei Zhou and Thuan Chu
Water level monitoring is important for understanding the global hydrological cycle. Remotely-sensed indices that capture localized instantaneous responses have been extensively explored for water level reconstruction during the past two decades. However...
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Sun-Hee Shin and Ja-Yeon Moon
The prediction skill for the East Asian winter monsoon (EAWM) has been analyzed, using the observations and different climate models that participate in the APEC Climate Center (APCC) multi-model ensemble (MME) seasonal forecast. The authors first examin...
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