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Sampling error estimate for climate data, uncertainty quantification for climate change assessment, methods for detecting climate changes, software development for big climate data visualization and delivery, climate observation network designs, stochastic climate models, seasonal forecasting of precipitation, analysis of remote sensing data, agroclimatic data analysis, spatial statistics applications, data analysis methods for nonlinear and non-stationary processes, fluid dynamics, and nonlinear waves.
Sampling error estimate for climate data, uncertainty quantification for climate change assessment, methods for detecting climate changes, software development for big climate data visualization and delivery, climate observation network designs, stochastic climate models, seasonal forecasting of precipitation, analysis of remote sensing data, agroclimatic data analysis, spatial statistics applications, data analysis methods for nonlinear and non-stationary processes, fluid dynamics, and nonlinear waves.
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BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETYno. 3 (2024): E680-E685
THEORETICAL AND APPLIED CLIMATOLOGYno. 1-2 (2023): 739-756
TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHYno. 1 (2023): 213-230
THEORETICAL AND APPLIED CLIMATOLOGYno. 1-2 (2023): 59-73
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