Next Article in Journal
A Polarized Atmospheric Radiative Transfer Model for Calculations of Spectra of the Stokes Parameters of Shortwave Radiation Based on the Line-by-Line and Monte Carlo Methods
Previous Article in Journal
Evaluation of the Variability in Chemical Transport Model Performance for Deposition and Ambient Concentrations of Nitrogen and Sulfur Compounds
Article Menu

Export Article

Open AccessArticle
Atmosphere 2012, 3(3), 419-450; doi:10.3390/atmos3030419

Evaluation of Two Cloud Parameterizations and Their Possible Adaptation to Arctic Climate Conditions

Alfred Wegener Institute for Polar and Marine Research, Research Department Potsdam, Telegrafenberg A43, Potsdam D-14473, Germany
Author to whom correspondence should be addressed.
Received: 31 May 2012 / Revised: 29 June 2012 / Accepted: 24 July 2012 / Published: 17 August 2012
View Full-Text   |   Download PDF [5186 KB, uploaded 17 August 2012]   |  


Based on the atmospheric regional climate model HIRHAM5, the single-column model version HIRHAM5-SCM was developed and applied to investigate the performance of a relative humidity based (RH-Scheme) and a prognostic statistical cloud scheme (PS-Scheme) in the central Arctic. The surface pressure as well as dynamical tendencies of temperature, specific humidity, and horizontal wind were prescribed from the ERA-Interim data set to enable the simulation of a realistic annual cycle. Both modeled temperature and relative humidity profiles were validated against radio soundings carried out on the 35th North Pole drifting station (NP-35). Simulated total cloud cover was evaluated with NP-35 and satellite-based ISCCP-D2 and MODIS observations. The more sophisticated PS-Scheme was found to perform more realistically and matched the observations better. Nevertheless, the model systematically overestimated the monthly averaged total cloud cover. Sensitivity studies were conducted to assess the effect of modified “tuning” parameters on cloud-related model variables. Two tunable parameters of the PS-Scheme and six tuning parameters contained in the cloud microphysics were analyzed. Lower values of the PS-Scheme adjustment parameter q0, which defines the shape of the symmetric beta distribution (acting as probability density function), as well as higher values of the cloud water threshold CWmin or autoconversion rate γ1 are able to reduce the overestimation of Arctic clouds. Furthermore, a lower cloud ice threshold γthr, which controls the Bergeron–Findeisen process, improves model cloudiness and the ratio of liquid to solid water content. View Full-Text
Keywords: cloud parameterization; single-column climate model; model evaluation; sensitivity study cloud parameterization; single-column climate model; model evaluation; sensitivity study

Figure 1

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Klaus, D.; Dorn, W.; Dethloff, K.; Rinke, A.; Mielke, M. Evaluation of Two Cloud Parameterizations and Their Possible Adaptation to Arctic Climate Conditions. Atmosphere 2012, 3, 419-450.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Atmosphere EISSN 2073-4433 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top