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Empirical Mode Decomposition Analysis of Climate Changes with Special Reference to Rainfall Data

• MD. KHADEMUL, Sayedur Rahman, Akimasa Sumi, Pabitra Banik
• 2005

We have used empirical mode decomposition (EMD) method, which is especially well fitted for analyzing time-series data representing nonstationary and nonlinear processes. This method could decompose… (More)

Intercomparison of Atmospheric GCM Simulated Anomalies Associated with the 1997/98 El Niño

• I.-S. KANG, K. Jin, +5 authors Y. Liu
• 2002

The atmospheric anomalies for the 1997/98 El Niño–Southern Oscillation (ENSO) period have been analyzed and intercompared using the data simulated by the atmospheric general circulation models (GCMs)… (More)

Overview : scientific results ADEOS-2 science programme

• Akimasa Sumi
• Proceedings. 2005 IEEE International Geoscience…
• 2005

In spite of the mal-function of ADEOS-2 satellite, the ADEOS-2 Science program is going on. AMSR-E is still alive and almost 3 year data is accumulated. Continuous effort is being conducted to… (More)

Statistical Analysis of Crop-Weather Regression Model for Forecasting Production Impact of Aus Rice in Bangladesh

• Mohammad Sayedur Rahman, Akimasa Sumi
• 2013

This study is an endeavor to evaluate statistically predicts a weather-crop yield-forecasting model to generate early crop production estimates. The weather-crop yield-forecasting model was applied… (More)

Analysis of Temperature Change under Global Warming Impact using Empirical Mode Decomposition

• Akimasa Sumi
• 2006

The empirical mode decomposition (EMD) represents any time series into a finite set of basis functions. The bases are termed as intrinsic mode functions (IMFs) which are mutually orthogonal… (More)

Research on Global Warming Prediction by using the High-Resolution Atmosphere-Ocean Coupled Model

• Akimasa Sumi
• 2007

of the coupled atmosphere-ocean coupled model have been conducted in this year. Several results are presented. First, detection of extreme events in a near-term climate prediction has been… (More)

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