Seasonal Performance of a Nonhydrostatic Global Atmospheric Model on a Cubed‐Sphere Grid

Kim, Jung Eun Esther; Koo, Myung-Seo; Yoo, Changhyun; Hong, Song‐You

doi:10.1029/2021ea001643

Cited by 3 publications

(2 citation statements)

References 61 publications

(93 reference statements)

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Section: Summary and Implicationsmentioning

confidence: 99%

“…In addition, the physical parameterizations over Antarctica, especially with respect to the GWD, still have a lot of room for improvement, not only in KIM but also in various other models (Kim et al, 2021). Since the GWD parameterization simulates the forcing of momentum generated by the breaking of gravity waves from the high altitudes around the South Pole, it is particularly essential for describing the exchange of north–south momentum and thermodynamic energy near the pole (Kim et al, 2021). Therefore, if the correlation between wind and temperature due to the improvement of GWD parameterization in the ensemble forecast can be well expressed, it will be possible to obtain more appropriate temperature analysis increments from the wind observations over Antarctica in the hybrid‐4DEnVar system.…”

Section: Summary and Implicationsmentioning

confidence: 99%

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Impacts of Aeolus horizontal Line‐Of‐Sight (HLOS) wind assimilation on the Korean integrated model (KIM) forecast system

Lee

Song

Kwon

et al. 2022

Atmospheric Science Letters

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The Korean Integrated Model (KIM) forecast system, based on a hybrid fourdimensional ensemble-variational method, was extended to assimilate Horizontal Line-Of-Sight (HLOS) wind observations from the Atmospheric Laser Doppler Instrument (ALADIN) on board the Atmospheric Dynamic Mission Aeolus satellite. In a global cycling experiment, assimilation of Aeolus HLOS wind observations led to reductions in the average root-mean-square error of 0.8 and 0.5% for the zonal and meridional wind analyses when compared against European Center for Medium-Range Weather Forecasts (ECMWF) Integrated Forecast System (IFS) analyses. Even though the observed variable is wind, there was also an overall beneficial impact on analyses of the mass variables. In the Southern Hemisphere (SH), the reduced analysis errors led to forecast skill improvements out to 72 h. In contrast, in the Northern Hemisphere (NH) there was relatively little reduction of analysis errors, but wind forecasts were nevertheless improved, and these positive impacts lasted longerout to 120 h rather than 72 h. Experiments suggest that the relatively poor long-range performance in the SH high latitudes was due to problems with the mass increments derived from Aeolus wind increments via the ensemble-based part of the hybrid background error covariance (B), which eventually led to adverse effects on the wind variables as forecasts progressed in the SH. This study shows that it is necessary to estimate the ensemble B in the Antarctic region with its high elevation more accurately in order to effectively use the Aeolus observation information.

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Section: Summary and Implicationsmentioning

confidence: 99%

Section: Summary and Implicationsmentioning

confidence: 99%

Impacts of Aeolus horizontal Line‐Of‐Sight (HLOS) wind assimilation on the Korean integrated model (KIM) forecast system

Lee

Song

Kwon

et al. 2022

Atmospheric Science Letters

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Model Error Representations Using the Covariance Inflation Methods in Ensemble Data Assimilation System

Lim,

Park

2023

Springer Atmospheric Sciences

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Hydrological modelling on atmospheric grids: using graphs of sub-grid elements to transport energy and water

Polcher¹,

Schrapffer²,

Dupont³

et al. 2023

Geosci. Model Dev.

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Abstract. Land surface models (LSMs) use the atmospheric grid as their basic spatial decomposition because their main objective is to provide the lower boundary conditions to the atmosphere. Lateral water flows at the surface on the other hand require a much higher spatial discretization as they are closely linked to topographic details. We propose here a methodology to automatically tile the atmospheric grid into hydrological coherent units which are connected through a graph. As water is transported on sub-grids of the LSM, land variables can easily be transferred to the routing network and advected if needed. This is demonstrated here for temperature. The quality of the river networks generated, as represented by the connected hydrological transfer units, are compared to the original data in order to quantify the degradation introduced by the discretization method. The conditions the sub-grid elements impose on the time step of the water transport scheme are evaluated, and a methodology is proposed to find an optimal value. Finally the scheme is applied in an off-line version of the ORCHIDEE (Organising Carbon and Hydrology In Dynamic Ecosystems) LSM over Europe to show that realistic river discharge and temperatures are predicted over the major catchments of the region. The simulated solutions are largely independent of the atmospheric grid used thanks to the proposed sub-grid approach.

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Seasonal Performance of a Nonhydrostatic Global Atmospheric Model on a Cubed‐Sphere Grid

Cited by 3 publications

References 61 publications

Impacts of Aeolus horizontal Line‐Of‐Sight (HLOS) wind assimilation on the Korean integrated model (KIM) forecast system

Impacts of Aeolus horizontal Line‐Of‐Sight (HLOS) wind assimilation on the Korean integrated model (KIM) forecast system

Model Error Representations Using the Covariance Inflation Methods in Ensemble Data Assimilation System

Hydrological modelling on atmospheric grids: using graphs of sub-grid elements to transport energy and water

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