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A comparison of TWP-ICE observational data with cloud-resolving model results
Observations made during the TWP‐ICE campaign are used to drive and evaluate thirteen cloud‐resolving model simulations with periodic lateral boundary conditions. The simulations employ 2D and 3D dynamics, one‐ and two‐moment microphysics, several variations on large‐scale forcing, and the use of ob...
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Published in: | Journal of Geophysical Research 2012-03, Vol.117 (D5), p.n/a |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Observations made during the TWP‐ICE campaign are used to drive and evaluate thirteen cloud‐resolving model simulations with periodic lateral boundary conditions. The simulations employ 2D and 3D dynamics, one‐ and two‐moment microphysics, several variations on large‐scale forcing, and the use of observationally derived aerosol properties to prognose droplet numbers. When domain means are averaged over a 6‐day active monsoon period, all simulations reproduce observed surface precipitation rate but not its structural distribution. Simulated fractional areas covered by convective and stratiform rain are uncorrelated with one another, and are both variably overpredicted by up to a factor of ∼2. Stratiform area fractions are strongly anticorrelated with outgoing longwave radiation (OLR) but are negligibly correlated with ice water path (IWP), indicating that ice spatial distribution controls OLR more than mean IWP. Overpredictions of OLR tend to be accompanied by underpredictions of reflected shortwave radiation (RSR). When there are two simulations differing only in microphysics scheme or large‐scale forcing, the one with smaller stratiform area tends to exhibit greater OLR and lesser RSR by similar amounts. After ∼10 days, simulations reach a suppressed monsoon period with a wide range of mean precipitable water vapor, attributable in part to varying overprediction of cloud‐modulated radiative flux divergence compared with observationally derived values. Differences across the simulation ensemble arise from multiple sources, including dynamics, microphysics, and radiation treatments. Close agreement of spatial and temporal averages with observations may not be expected, but the wide spreads of predicted stratiform fraction and anticorrelated OLR indicate a need for more rigorous observation‐based evaluation of the underlying micro‐ and macrophysical properties of convective and stratiform structures.
Key Points
CRMs reproduce domain‐mean precipitation but not its structural distribution
Simulated convective and stratiform fractional areas are variably overpredicted
Range of stratiform areas indicates a need for observation‐based evaluation |
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ISSN: | 0148-0227 2169-897X 2156-2202 2169-8996 |
DOI: | 10.1029/2011JD016595 |