EGU2020-12244
https://doi.org/10.5194/egusphere-egu2020-12244
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Assessment of Observational Environments of the Automated Synoptic Observing Systems in Korea Using a CFD Model

Jung-Eun Kang1 and Jae-Jin Kim2
Jung-Eun Kang and Jae-Jin Kim
  • 1Pukyong National University, Division of Earth Environmental System Science, Major of Environmental Atmospheric Sciences, Korea, Republic of (jungeunkang@pukyong.ac.kr)
  • 2Pukyong National University, Division of Earth Environmental System Science, Major of Environmental Atmospheric Sciences, Korea, Republic of (jjkim@pknu.ac.kr)

  In this study, we analyzed the observation environments of the automated synoptic observing systems (ASOSs) using a computational fluid dynamics (CFD) model, focusing on the observational environments of air temperatures, wind speeds, and wind directions. The computational domain sizes are 2000 m × 2000 m × 750 m, and the grid sizes are 10 m × 10 m × 5 m in the x-, y-, and z- directions, respectively. We conducted the simulations for eight inflow directions (northerly, northeasterly, easterly, southeasterly, southerly, southwesterly, westerly, northwesterly) using the ASOS-observation wind speeds and air temperatures averaged in August from 2010 to 2019. We analyzed the effects of the surrounding buildings and terrains on the meteorological observations of the ASOSs, by comparing the wind speeds, wind directions, and air temperatures simulated at the ASOSs with those of inflows. The results showed that the meteorological observation environments were quite dependent on whether there existed the obstacles and surface heating on their surfaces at the observation altitude of the ASOSs.

How to cite: Kang, J.-E. and Kim, J.-J.: Assessment of Observational Environments of the Automated Synoptic Observing Systems in Korea Using a CFD Model, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12244, https://doi.org/10.5194/egusphere-egu2020-12244, 2020

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