Articles | Volume 14, issue 4
https://doi.org/10.5194/essd-14-2109-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-2109-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
02 May 2022
Data description paper |
| 02 May 2022
| 02 May 2022
Development of East Asia Regional Reanalysis based on advanced hybrid gain data assimilation method and evaluation with E3DVAR, ERA-5, and ERA-Interim reanalysis
Eun-Gyeong Yang
Atmospheric Predictability and Data Assimilation Laboratory, Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea
Hyun Mee Kim
CORRESPONDING AUTHOR
Atmospheric Predictability and Data Assimilation Laboratory, Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea
Dae-Hui Kim
Atmospheric Predictability and Data Assimilation Laboratory, Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea
Related authors
No articles found.
Min-Gyung Seo and Hyun Mee Kim
EGUsphere, https://doi.org/10.5194/egusphere-2025-2367, https://doi.org/10.5194/egusphere-2025-2367, 2025
Short summary
Short summary
This study explores how surface carbon dioxide (CO2) measurements help improve estimates and predictions of atmospheric CO2 concentrations. Using the observation impacts over East Asia, the research shows that even a limited number of observations can significantly reduce uncertainty in CO2 concentration forecasts. The results help guide better monitoring and estimation of atmospheric CO2 concentrations, the design of CO2 monitoring networks, and support for efforts to track CO2 more accurately.
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Short summary
The East Asia Regional Reanalysis (EARR) system is developed based on the advanced hybrid gain data assimilation method (AdvHG) using the Weather Research and Forecasting (WRF) model and conventional observations. Based on EARR, high-resolution regional reanalysis and reforecast fields are produced with 12 km horizontal resolution over East Asia for the period 2010–2019. Compared to ERA5, EARR represents precipitation better for January and July 2017 over East Asia.
The East Asia Regional Reanalysis (EARR) system is developed based on the advanced hybrid gain...
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