Articles | Volume 8, issue 3
https://doi.org/10.5194/amt-8-1259-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-1259-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Implementation of a GPS-RO data processing system for the KIAPS-LETKF data assimilation system
H. Kwon
Korea Institute of Atmospheric Prediction Systems, Seoul, Korea
Korea Polar Research Institute, Incheon, Korea
J.-S. Kang
CORRESPONDING AUTHOR
Korea Institute of Atmospheric Prediction Systems, Seoul, Korea
Y. Jo
Korea Institute of Atmospheric Prediction Systems, Seoul, Korea
J. H. Kang
Korea Institute of Atmospheric Prediction Systems, Seoul, Korea
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Cited
14 citations as recorded by crossref.
- Optimization of the Vertical Localization Scale for GPS-RO Data Assimilation within KIAPS-LETKF System Y. Jo et al. 10.14191/Atmos.2015.25.3.529
- Estimation of Precipitable Water Vapour Using Global Positioning System and Radio Occultation Over Ethiopian Regions A. Yehun et al. 10.2139/ssrn.3980619
- Spatio-Temporal Variability of Cloud Top and Tropopause Heights Over the Arctic from 10-Year Calipso, Gpsro and Merra-2 Datasets H. Yeo et al. 10.2139/ssrn.4074641
- The impact of the nonlinear balance equation on a 3D‐Var cycle during an Australian‐winter month as compared with the regressed wind–mass balance H. Song et al. 10.1002/qj.3065
- Development of an Observation Processing Package for Data Assimilation in KIAPS J. Kang et al. 10.1007/s13143-018-0030-2
- The Local Ensemble Transform Kalman Filter (LETKF) with a Global NWP Model on the Cubed Sphere S. Shin et al. 10.1007/s00024-016-1269-0
- Spatio-Temporal Variability of Cloud Top and Tropopause Heights Over the Arctic from 10-Year Calipso, Gpsro and Merra-2 Datasets H. Yeo et al. 10.2139/ssrn.4074642
- Spatio-temporal variability of cloud top and tropopause heights over the Arctic from 10-year CALIPSO, GPSRO and MERRA-2 datasets H. Yeo et al. 10.1016/j.atmosres.2022.106317
- Estimating precipitable water vapour using the global positioning system and radio occultation over Ethiopian regions A. Yehun et al. 10.1080/01431161.2021.1939914
- Estimation of Precipitable Water Vapour Using Global Positioning System and Radio Occultation Over Ethiopian Regions A. Yehun et al. 10.2139/ssrn.3980604
- Real Data Assimilation Using the Local Ensemble Transform Kalman Filter (LETKF) System for a Global Non-hydrostatic NWP model on the Cubed-sphere S. Shin et al. 10.1007/s13143-018-0022-2
- The Advantages of Hybrid 4DEnVar in the Context of the Forecast Sensitivity to Initial Conditions H. Song et al. 10.1002/2017JD027598
- FORMOSAT-7/COSMIC-2 GNSS Radyo Okültasyon Tekniği İle Elde Edilen Atmosferik Parametrelerinin Değerlendirilmesi S. Çelik Tunçer & E. Tanır Kayıkçı 10.48123/rsgis.1489595
- Inclusion of Global Navigation Satellite System radio occultation data into Center for Weather Forecast and Climate Studies Local Ensemble Transform Kalman Filter (LETKF) using the Radio Occultation Processing Package as an observation operator L. Sapucci et al. 10.1002/met.1559
13 citations as recorded by crossref.
- Optimization of the Vertical Localization Scale for GPS-RO Data Assimilation within KIAPS-LETKF System Y. Jo et al. 10.14191/Atmos.2015.25.3.529
- Estimation of Precipitable Water Vapour Using Global Positioning System and Radio Occultation Over Ethiopian Regions A. Yehun et al. 10.2139/ssrn.3980619
- Spatio-Temporal Variability of Cloud Top and Tropopause Heights Over the Arctic from 10-Year Calipso, Gpsro and Merra-2 Datasets H. Yeo et al. 10.2139/ssrn.4074641
- The impact of the nonlinear balance equation on a 3D‐Var cycle during an Australian‐winter month as compared with the regressed wind–mass balance H. Song et al. 10.1002/qj.3065
- Development of an Observation Processing Package for Data Assimilation in KIAPS J. Kang et al. 10.1007/s13143-018-0030-2
- The Local Ensemble Transform Kalman Filter (LETKF) with a Global NWP Model on the Cubed Sphere S. Shin et al. 10.1007/s00024-016-1269-0
- Spatio-Temporal Variability of Cloud Top and Tropopause Heights Over the Arctic from 10-Year Calipso, Gpsro and Merra-2 Datasets H. Yeo et al. 10.2139/ssrn.4074642
- Spatio-temporal variability of cloud top and tropopause heights over the Arctic from 10-year CALIPSO, GPSRO and MERRA-2 datasets H. Yeo et al. 10.1016/j.atmosres.2022.106317
- Estimating precipitable water vapour using the global positioning system and radio occultation over Ethiopian regions A. Yehun et al. 10.1080/01431161.2021.1939914
- Estimation of Precipitable Water Vapour Using Global Positioning System and Radio Occultation Over Ethiopian Regions A. Yehun et al. 10.2139/ssrn.3980604
- Real Data Assimilation Using the Local Ensemble Transform Kalman Filter (LETKF) System for a Global Non-hydrostatic NWP model on the Cubed-sphere S. Shin et al. 10.1007/s13143-018-0022-2
- The Advantages of Hybrid 4DEnVar in the Context of the Forecast Sensitivity to Initial Conditions H. Song et al. 10.1002/2017JD027598
- FORMOSAT-7/COSMIC-2 GNSS Radyo Okültasyon Tekniği İle Elde Edilen Atmosferik Parametrelerinin Değerlendirilmesi S. Çelik Tunçer & E. Tanır Kayıkçı 10.48123/rsgis.1489595
1 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 30 Jan 2025
Short summary
KIAPS has been developing a next-generation numerical weather prediction model and an advanced data assimilation system. We recently implemented a GPS-RO data processing system and then tested the processed data within an ensemble-based data assimilation system. The systems for the data processing and the data assimilation are fully coupled and cycled with a numerical weather prediction model. As a result, data processing and assimilation work properly to give reasonable innovation.
KIAPS has been developing a next-generation numerical weather prediction model and an advanced...