2012
DOI: 10.5194/acp-12-3511-2012
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Limited-are a modelling of stratocumulus over South-Eastern Pacific

Abstract: Abstract. This paper presents application of the Weather Research and Forecasting (WRF) model to limited-area modeling of atmospheric processes over the subtropical southeastern Pacific, with the emphasis on the stratocumulustopped boundary layer. The simulations cover a domain from the VAMOS (Variability of the American Monsoon Systems) Ocean-Cloud-Atmosphere-Land Study Regional Experiment (VOCALS-REx) field project conducted in the subtropical south-eastern Pacific in October and November 2008. We focus on a… Show more

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Cited by 8 publications
(4 citation statements)
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References 32 publications
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“…When we compare output from the various WRF configurations to the observations, our results are similar to previous studies (e.g., Rahn and Garreaud 2010;Andrejczuk et al 2012;Chen et al 2015). Most notably, the MBL top is too low in WRF for all of the BOAS soundings.…”
Section: A Aircraft Observationssupporting
confidence: 84%
See 1 more Smart Citation
“…When we compare output from the various WRF configurations to the observations, our results are similar to previous studies (e.g., Rahn and Garreaud 2010;Andrejczuk et al 2012;Chen et al 2015). Most notably, the MBL top is too low in WRF for all of the BOAS soundings.…”
Section: A Aircraft Observationssupporting
confidence: 84%
“…Furthermore, the regional models display the most variability in MBL depth. Model initialization and lateral boundary conditions (LBCs) are the suggested culprits behind the pervasive underestimation in MBL height (e.g., Andrejczuk et al 2012).…”
Section: Introductionmentioning
confidence: 99%
“…These are attributed to biases in the ECMWF‐AUX data. For example, the ECMWF model tends to underestimate the inversion layer height in the eastern subtropical ocean (e.g., the southeast Pacific; Andrejczuk et al., 2012; G. Chen et al., 2015; G. Chen & Wang, 2016b), causing underestimated relative humidity in the upper cloud layer. As there is not a well‐defined quantitative relationship between the sub‐grid CF and the grid‐mean relative humidity, it is difficult to find a physical‐based method to detect these anomalous data.…”
Section: Data Preparationmentioning
confidence: 99%
“…These are attributed to biases in the ECMWF-AUX data. For example, the ECMWF model tends to underestimate the inversion layer height in the eastern subtropical ocean (e.g., the southeast Pacific; Andrejczuk et al, 2012;G. Chen et al, 2015;G.…”
Section: Data Uncertaintymentioning
confidence: 99%