Articles | Volume 6, issue 6
https://doi.org/10.5194/gmd-6-2005-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-6-2005-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model evaluation paper
| 
19 Nov 2013
Model evaluation paper |
| 19 Nov 2013
The SPRINTARS version 3.80/4D-Var data assimilation system: development and inversion experiments based on the observing system simulation experiment framework
K. Yumimoto
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
T. Takemura
Research Institute for Applied Mechanism, Kyushu University, Fukuoka, Japan
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Cited
17 citations as recorded by crossref.
- Subregional inversion of North African dust sources J. Escribano et al. https://doi.org/10.1002/2016JD025020
- Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models M. Bocquet et al. https://doi.org/10.5194/acp-15-5325-2015
- Estimating aerosol emission from SPEXone on the NASA PACE mission using an ensemble Kalman smoother: observing system simulation experiments (OSSEs) A. Tsikerdekis et al. https://doi.org/10.5194/gmd-15-3253-2022
- Tropospheric ozone data assimilation in the NASA GEOS Composition Forecast modeling system (GEOS-CF v2.0) using satellite data for ozone vertical profiles (MLS), total ozone columns (OMI), and thermal infrared radiances (AIRS, IASI) M. Kelp et al. https://doi.org/10.1088/1748-9326/acf0b7
- Overview of the development of the Aerosol Loading Interface for Cloud microphysics In Simulation (ALICIS) T. Iguchi et al. https://doi.org/10.1186/s40645-015-0075-0
- Performance of Current Atmospheric Observation Networks on Quantifying Sub-continental Emissions of Halogenated Gases X. Hu et al. https://doi.org/10.1016/j.atmosenv.2026.122118
- A New Approach to Solving the Problem of Atmospheric Air Pollution in the Industrial City Z. Oralbekova et al. https://doi.org/10.1155/2021/8970949
- Application of a global nonhydrostatic model with a stretched-grid system to regional aerosol simulations around Japan D. Goto et al. https://doi.org/10.5194/gmd-8-235-2015
- Health Impact Assessment of Asian Dust/Cross-border Air Pollutant and Necessary Preventive Measure K. ONISHI https://doi.org/10.1265/jjh.72.43
- Comparison of aerosol optical depth between observation and simulation from MIROC-SPRINTARS: Effects of temporal inhomogeneous sampling S. Park et al. https://doi.org/10.1016/j.atmosenv.2018.05.021
- Status and future of numerical atmospheric aerosol prediction with a focus on data requirements A. Benedetti et al. https://doi.org/10.5194/acp-18-10615-2018
- A 4D-Var inversion system based on the icosahedral grid model (NICAM-TM 4D-Var v1.0) – Part 1: Offline forward and adjoint transport models Y. Niwa et al. https://doi.org/10.5194/gmd-10-1157-2017
- JRAero: the Japanese Reanalysis for Aerosol v1.0 K. Yumimoto et al. https://doi.org/10.5194/gmd-10-3225-2017
- Impact of synthetic space-borne NO2 observations from the Sentinel-4 and Sentinel-5P missions on tropospheric NO2 analyses R. Timmermans et al. https://doi.org/10.5194/acp-19-12811-2019
- Long‐term inverse modeling of Asian dust: Interannual variations of its emission, transport, deposition, and radiative forcing K. Yumimoto & T. Takemura https://doi.org/10.1002/2014JD022390
- Observing System Simulation Experiments for air quality R. Timmermans et al. https://doi.org/10.1016/j.atmosenv.2015.05.032
- A 4D-Var inversion system based on the icosahedral grid model (NICAM-TM 4D-Var v1.0) – Part 2: Optimization scheme and identical twin experiment of atmospheric CO2 inversion Y. Niwa et al. https://doi.org/10.5194/gmd-10-2201-2017
17 citations as recorded by crossref.
- Subregional inversion of North African dust sources J. Escribano et al. https://doi.org/10.1002/2016JD025020
- Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models M. Bocquet et al. https://doi.org/10.5194/acp-15-5325-2015
- Estimating aerosol emission from SPEXone on the NASA PACE mission using an ensemble Kalman smoother: observing system simulation experiments (OSSEs) A. Tsikerdekis et al. https://doi.org/10.5194/gmd-15-3253-2022
- Tropospheric ozone data assimilation in the NASA GEOS Composition Forecast modeling system (GEOS-CF v2.0) using satellite data for ozone vertical profiles (MLS), total ozone columns (OMI), and thermal infrared radiances (AIRS, IASI) M. Kelp et al. https://doi.org/10.1088/1748-9326/acf0b7
- Overview of the development of the Aerosol Loading Interface for Cloud microphysics In Simulation (ALICIS) T. Iguchi et al. https://doi.org/10.1186/s40645-015-0075-0
- Performance of Current Atmospheric Observation Networks on Quantifying Sub-continental Emissions of Halogenated Gases X. Hu et al. https://doi.org/10.1016/j.atmosenv.2026.122118
- A New Approach to Solving the Problem of Atmospheric Air Pollution in the Industrial City Z. Oralbekova et al. https://doi.org/10.1155/2021/8970949
- Application of a global nonhydrostatic model with a stretched-grid system to regional aerosol simulations around Japan D. Goto et al. https://doi.org/10.5194/gmd-8-235-2015
- Health Impact Assessment of Asian Dust/Cross-border Air Pollutant and Necessary Preventive Measure K. ONISHI https://doi.org/10.1265/jjh.72.43
- Comparison of aerosol optical depth between observation and simulation from MIROC-SPRINTARS: Effects of temporal inhomogeneous sampling S. Park et al. https://doi.org/10.1016/j.atmosenv.2018.05.021
- Status and future of numerical atmospheric aerosol prediction with a focus on data requirements A. Benedetti et al. https://doi.org/10.5194/acp-18-10615-2018
- A 4D-Var inversion system based on the icosahedral grid model (NICAM-TM 4D-Var v1.0) – Part 1: Offline forward and adjoint transport models Y. Niwa et al. https://doi.org/10.5194/gmd-10-1157-2017
- JRAero: the Japanese Reanalysis for Aerosol v1.0 K. Yumimoto et al. https://doi.org/10.5194/gmd-10-3225-2017
- Impact of synthetic space-borne NO2 observations from the Sentinel-4 and Sentinel-5P missions on tropospheric NO2 analyses R. Timmermans et al. https://doi.org/10.5194/acp-19-12811-2019
- Long‐term inverse modeling of Asian dust: Interannual variations of its emission, transport, deposition, and radiative forcing K. Yumimoto & T. Takemura https://doi.org/10.1002/2014JD022390
- Observing System Simulation Experiments for air quality R. Timmermans et al. https://doi.org/10.1016/j.atmosenv.2015.05.032
- A 4D-Var inversion system based on the icosahedral grid model (NICAM-TM 4D-Var v1.0) – Part 2: Optimization scheme and identical twin experiment of atmospheric CO2 inversion Y. Niwa et al. https://doi.org/10.5194/gmd-10-2201-2017
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