Evaluation of upper-troposphere lower-stratosphere temperature and moisture over the Asian monsoon region in a storm-resolving model
Abstract
Atmospheric model outputs are often evaluated simply by comparing the value closest in space and time to an observation. When observations are spatiotemporally dynamic, e.g. from in-situ measurements, such collocated comparison is not especially meaningful, as model features can be offset from their observed counterparts. Here, we evaluate the upper-tropospheric lower-stratospheric (UTLS) temperature and moisture structure from a storm-resolving model using a synthetic flight track methodology instead. The Icosahedral Nonhydrostatic (ICON) model is run over an Asian monsoon domain during Flight 7 of the StratoClim field campaign at 2.5-km resolution and with 10-minute output frequency. We then extract 600 randomly sampled values from this large volume of data in a spatiotemporal bubble (±0.75° latitude and longitude, ±one model level, and ±10 minutes) around each Flight 7 measurement point. Vertical profiles of temperature, volume mixing ratio of water vapor, and cloud ice are built up from these synthetic flight tracks and compared to those measured by the Fluorescent Lyman-α Stratospheric Hygrometer for Aircraft (FLASH) and Fast In-situ Stratospheric Hygrometer (FISH) instruments. We find that ICON predicts a too-warm, too-moist upper troposphere and too-cold, too-dry lower stratosphere and investigate the effects of vertical resolution and gravity wave parameterization via temperature fluctuations upon this result.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2022
- Bibcode:
- 2022AGUFM.A22D1699S