Producing the Hindcast of Wind and Waves Using a High-Resolution Atmospheric Reanalysis around Korea

Title
Producing the Hindcast of Wind and Waves Using a High-Resolution Atmospheric Reanalysis around Korea
Author(s)
허기영
KIOST Author(s)
Heo, Ki-Young(허기영)
Publication Year
2016-04-21
Abstract
Sea surface wind plays a dominant role in oceanic phenomena such as oceanic waves, swells and currents that have an important effect of the climate. However, the lack of reliable historical weather observations and limited data make it difficult to effectively analyze climate variability and change over the ocean. In contrast, numerical simulation data takes advantage to analyze spatiotemporal variation of sea surface wind, but has a fundamental limit to exactly reproduce atmospheric phenomena due to initial uncertainty in the model initialization and the chaotic behavior of nonlinear system governing the atmosphere (National Research Council, 1998).To overcome the limitations, data assimilation technique has been adopted to improve the model’s initial conditions and generate the final high-resolution analysis. The reanalysis comprises the combination of state of art models and data assimilation methods with highly quality controlled observations including surface, upper-level sounding and satellite based observations. Since the release of the original National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) Reanalysis Project (NCEP-1),the NCEP/NCAR, the European Centre for Medium-Range Weather Forecasts (ECMWF), and Japan Meteorological Agency (JMA) and the Central Research Institute of Electric Power Industry (CRIEPI) produce reanalysis products covering 1979 to presenticult to effectively analyze climate variability and change over the ocean. In contrast, numerical simulation data takes advantage to analyze spatiotemporal variation of sea surface wind, but has a fundamental limit to exactly reproduce atmospheric phenomena due to initial uncertainty in the model initialization and the chaotic behavior of nonlinear system governing the atmosphere (National Research Council, 1998).To overcome the limitations, data assimilation technique has been adopted to improve the model’s initial conditions and generate the final high-resolution analysis. The reanalysis comprises the combination of state of art models and data assimilation methods with highly quality controlled observations including surface, upper-level sounding and satellite based observations. Since the release of the original National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) Reanalysis Project (NCEP-1),the NCEP/NCAR, the European Centre for Medium-Range Weather Forecasts (ECMWF), and Japan Meteorological Agency (JMA) and the Central Research Institute of Electric Power Industry (CRIEPI) produce reanalysis products covering 1979 to present
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/24876
Bibliographic Citation
The 7th Korea-China Joint Workshop on Marine Environment Forecasting System for the Yellow Sea and East China Sea, pp.1 - 2, 2016
Publisher
CKJORC
Type
Conference
Language
English
Publisher
CKJORC
Related Researcher
Research Interests

Numerical modeling,Marine meteorology,Data assimilation,수치모델링,해양기상,자료동화

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