EGU2020-19595, updated on 10 Jan 2024
EGU General Assembly 2020
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Aeolus / ALADIN data analysis in Korea

Hyemin Shin1, Myoung-Hwan Ahn1, Jisoo Kim1, and Chu-Yong Chung2
Hyemin Shin et al.
  • 1Ewha Observation Satellite Research Laboratory, Department of Climate Energy System Engineering, Ewha Womans University, Korea, Republic of(
  • 2National Institute of Meteorological Sciences (NIMS) / Korea Meteorological Administration (KMA) ( )

The assimilation of the Atmospheric Laser Doppler Instrument (ALADIN) wind profile data is expected to play a significant role in improving the skills of numerical weather prediction model. In this study, we analyze the Aeolus/ALADIN data over Korea region using data obtained by radiosonde, dropsonde and the ground based windprofiler. In addition, we analyze data by comparing with atmospheric movement vector (AMV) derived from the Geostationary Korea Multi Purpose Satellite -2A (GK-2A). The ALADIN wind data within the 150 km from the radiosonde/dropsonde/windprofiler station and within ±60 minutes to their observation time are collocated. The AMV data having the closest altitude to the ALADIN altitude are compared, within the 150 km from the ALADIN observation. With the limited number of collocated data obtained from August 29th to September 1th, 2019, the comparison results show a rather large discrepancy. In case of the radiosonde, RMSD is estimated to be 2.50 m/s and 2.67 m/s in the Rayleigh channel and the Mie channel, respectively. In case of the AMV, the error statistics varies significantly with the quality index of AMV data. When the quality index of 0.8 is applied to the AMV data, RMSD for the infrared AMV is about 3.36 m/s. In the conference, comparison results of all instruments along with the extended time period are going to be presented.

How to cite: Shin, H., Ahn, M.-H., Kim, J., and Chung, C.-Y.: Aeolus / ALADIN data analysis in Korea , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19595,, 2020.