Model predicted low-level cloud parameters. Part I: Comparison with observations from the BALTEX Bridge Campaigns

• Published in: Atmospheric research Vol. 82; no. 1-2; pp. 55 - 82
• Main Authors: VAN LIPZIG, Nicole P. M, SCHRÖDER, Marc, YEN, Wenchieh, CREWELL, Susanne, AMENT, Felix, CHABOUREAU, Jean-Pierre, LÖHNERT, Ulrich, MATTHIAS, Volker, VAN MEIJGAARD, Erik, QUANTE, Markus, WILLEN, Ulrika
• Format: Conference Proceeding Journal Article
• Language: English
• Published: Amsterdam Elsevier 01.11.2006
• Subjects: Atmospheric and Oceanic Physics; Cloud physics; Earth, ocean, space; Exact sciences and technology; External geophysics; Geophysics. Techniques, methods, instrumentation and models; Meteorology; Physics; Netherlands; Western Europe; Netherlands, Utrecht, Cabauw; Weather forecast; Atmosphere model; Europe; Ground based measurement; Space remote sensing; Regional scope; Satellite observation; Measurement campaign; Climate models; digital simulation; clouds; Forecast model; Ground-based remote sensing; Satellite remote sensing; algorithm performance; Numerical weather prediction; Model evaluation; Observation data; Numerical forecast; Cloud top; Shallow water clouds
• ISSN: 0169-8095; 1873-2895
• DOI: 10.1016/j.atmosres.2006.01.010

The BALTEX Bridge Campaigns (BBC), which were held in the Netherlands in 2001 and 2003 around the Cabauw Experimental Site for Atmospheric Research (CESAR), have provided detailed information on clouds. This paper is an illustration of how these measurements can be used to investigate whether state-of-the-art atmospheric models are capable of adequately representing clouds. Here, we focus on shallow low-level clouds with a substantial amount of liquid water. In situ, ground-based and satellite remote sensing measurements were compared with the output of three non-hydrostatic regional models (Lokal- Modell, LM; Meso-NH; fifth-generation Mesoscale Model, MM5) and two hydrostatic regional climate models (Regional Atmospheric Climate Model version 2, RACMO2; Rossby Centre Atmospheric Model, RCA). For the two selected days, Meso-NH and MM5 reproduce the measured vertical extent of the shallow clouds, but the liquid water content of the clouds is generally overestimated. In LM and the climate models the inversion is too weak and located at a level too close to the surface resulting in an overestimation of the vertical extent of the clouds. A sensitivity integration with RACMO2 shows that the correspondence between model output and measurements can be improved by a doubling of the vertical resolution; this induces an increase in the modelled inversion strength and cloud top pressure. LM and Meso-NH underestimate the lifetime of clouds. A comparison between model output and cloud cover derived from the Moderate Resolution Imaging Spectrometer (MODIS) indicates that this deficiency is not due to advection of too small cloud systems; it is rather due to an overestimation of the variability in the vertical velocity. All models overestimate the specific humidity near the surface and underestimate it at higher atmospheric levels, indicating that the models underestimate the mixing of moisture in the boundary layer. This deficiency is slightly reduced by inclusion of parameterised shallow convection in the non-hydrostatic models, which enhances the mixing of heat and moisture in the boundary layer. Consequently, the explicitly resolved updrafts weaken resulting in reduced condensation rates and lower liquid water path. The temporal variability of cloud occurrence is hardly affected by inclusion of parameterised shallow convection.