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.
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
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Cited
17 citations as recorded by crossref.
- The CMA Regional Re-Analysis (CMA-RRA): A 3-km Resolution, 1-h Cycling Analysis for China Z. Xu et al. https://doi.org/10.1007/s13351-026-5285-4
- Relating extreme precipitation events to atmospheric conditions and driving variables in China Q. Ou et al. https://doi.org/10.1007/s00382-024-07143-z
- Comparison of Data Fusion Methods in Fusing Satellite Products and Model Simulations for Estimating Soil Moisture on Semi-Arid Grasslands Y. Zhu et al. https://doi.org/10.3390/rs15153789
- Comparison of hybrid gain data assimilation update scenarios in an operational global forecast system C. Chang et al. https://doi.org/10.1007/s44394-026-00022-7
- Effect of Meteorological Data Assimilation on Regional Air Quality Forecasts over the Korean Peninsula Y. Cho et al. https://doi.org/10.1007/s13351-024-3152-8
- Effects of chemical and meteorological data assimilation on air-quality and meteorological forecasts in the Korean Peninsula Y. Cho et al. https://doi.org/10.1016/j.scitotenv.2025.179842
- Effect of meteorological data assimilation using 3DVAR on high-resolution simulations of atmospheric CO2 concentrations in East Asia M. Seo & H. Kim https://doi.org/10.1016/j.apr.2023.101759
- East Asia Reanalysis System (EARS) J. Yin et al. https://doi.org/10.5194/essd-15-2329-2023
- Explainable dynamic hybrid fusion method of remote sensing and land surface model data for soil water estimation in high mountainous areas L. Zhang et al. https://doi.org/10.1016/j.ejrh.2026.103899
- CPS-RAUnet++: A Jet Axis Detection Method Based on Cross-Pseudo Supervision and Extended Unet++ Model J. Gan et al. https://doi.org/10.3390/electronics14030441
- Advances in atmospheric, oceanic, and coupled models for meteorological forecasting M. Waqas et al. https://doi.org/10.1016/j.nhres.2025.10.003
- Effects of El Niño-induced climate change on CO2 concentrations and the carbon cycle in East Asia M. Seo et al. https://doi.org/10.1038/s41612-025-01237-z
- Performance of a Hybrid Gain Ensemble Data Assimilation Scheme in Tropical Cyclone Forecasting with the GRAPES Model X. Xia et al. https://doi.org/10.3390/atmos14030565
- How well do the reanalysis datasets capture hot and cold extremes and their trends in India? S. Bhattacharyya et al. https://doi.org/10.1016/j.atmosres.2025.108073
- Air temperature in fringe habitats: performance of climate reanalysis on Atlantic Patagonian rocky shores M. Robert et al. https://doi.org/10.1016/j.marenvres.2026.108189
- Evaluation of high‐resolution regional CO2 data assimilation–forecast system in East Asia using observing system simulation experiment and effect of observation network on simulated CO2 concentrations M. Seo & H. Kim https://doi.org/10.1002/qj.4987
- Long-Term Regional Reanalysis for Japan with Assimilating Conventional Observations (RRJ-Conv) S. FUKUI et al. https://doi.org/10.2151/jmsj.2024-036
17 citations as recorded by crossref.
- The CMA Regional Re-Analysis (CMA-RRA): A 3-km Resolution, 1-h Cycling Analysis for China Z. Xu et al. https://doi.org/10.1007/s13351-026-5285-4
- Relating extreme precipitation events to atmospheric conditions and driving variables in China Q. Ou et al. https://doi.org/10.1007/s00382-024-07143-z
- Comparison of Data Fusion Methods in Fusing Satellite Products and Model Simulations for Estimating Soil Moisture on Semi-Arid Grasslands Y. Zhu et al. https://doi.org/10.3390/rs15153789
- Comparison of hybrid gain data assimilation update scenarios in an operational global forecast system C. Chang et al. https://doi.org/10.1007/s44394-026-00022-7
- Effect of Meteorological Data Assimilation on Regional Air Quality Forecasts over the Korean Peninsula Y. Cho et al. https://doi.org/10.1007/s13351-024-3152-8
- Effects of chemical and meteorological data assimilation on air-quality and meteorological forecasts in the Korean Peninsula Y. Cho et al. https://doi.org/10.1016/j.scitotenv.2025.179842
- Effect of meteorological data assimilation using 3DVAR on high-resolution simulations of atmospheric CO2 concentrations in East Asia M. Seo & H. Kim https://doi.org/10.1016/j.apr.2023.101759
- East Asia Reanalysis System (EARS) J. Yin et al. https://doi.org/10.5194/essd-15-2329-2023
- Explainable dynamic hybrid fusion method of remote sensing and land surface model data for soil water estimation in high mountainous areas L. Zhang et al. https://doi.org/10.1016/j.ejrh.2026.103899
- CPS-RAUnet++: A Jet Axis Detection Method Based on Cross-Pseudo Supervision and Extended Unet++ Model J. Gan et al. https://doi.org/10.3390/electronics14030441
- Advances in atmospheric, oceanic, and coupled models for meteorological forecasting M. Waqas et al. https://doi.org/10.1016/j.nhres.2025.10.003
- Effects of El Niño-induced climate change on CO2 concentrations and the carbon cycle in East Asia M. Seo et al. https://doi.org/10.1038/s41612-025-01237-z
- Performance of a Hybrid Gain Ensemble Data Assimilation Scheme in Tropical Cyclone Forecasting with the GRAPES Model X. Xia et al. https://doi.org/10.3390/atmos14030565
- How well do the reanalysis datasets capture hot and cold extremes and their trends in India? S. Bhattacharyya et al. https://doi.org/10.1016/j.atmosres.2025.108073
- Air temperature in fringe habitats: performance of climate reanalysis on Atlantic Patagonian rocky shores M. Robert et al. https://doi.org/10.1016/j.marenvres.2026.108189
- Evaluation of high‐resolution regional CO2 data assimilation–forecast system in East Asia using observing system simulation experiment and effect of observation network on simulated CO2 concentrations M. Seo & H. Kim https://doi.org/10.1002/qj.4987
- Long-Term Regional Reanalysis for Japan with Assimilating Conventional Observations (RRJ-Conv) S. FUKUI et al. https://doi.org/10.2151/jmsj.2024-036
Saved (final revised paper)
Latest update: 11 Nov 2026
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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