Reviewers
Chris Davis (NCAR)
Morris Weisman (NCAR)
Road Map
The review intends to shed light on novel methods for the evaluation of the forecast skills for cloud and precipitation (Errico et al., 2007). Advanced objective verification methods have recently been developed to assess the model skills in predicting precipitations. They may include multi-scale wavelet analysis (for instance (Bousquet et al., 2006), object-based analysis (Davis et al, 2006), or temporal analysis that have been designed to avoid the double penalty problem of standard scores (Michaelides, 2008). Extensions of these methodologies to cloud cover and content will be discussed, with a particular focus on the development of metrics for performance assessment. This review will also report gained experience in subjective forecast skill at the convective scale for the prediction of clouds.
Non-exhaustive list of publications and earlier reviews
Davis, C., B. Brown, and R. Bullock, 2006: Object-Based Verification of Precipitation Forecasts. Part I: Methodology and Application to Mesoscale Rain Areas. Mon. Wea. Rev., 134, 1772-1784.
Errico, R.M., G. Ohring, P. Bauer, B. Ferrier, J.F. Mahfouf, J. Turk, and F. Weng, 2007: Assimilation of Satellite Cloud and Precipitation Observations in Numerical Weather Prediction Models: Introduction to the JAS Special Collection. J. Atmos. Sci., 64, 3737-3741.
Olivier Bousquet *, Charles A. Lin, Isztar Zawadzki, 2006: Analysis of scale dependence of quantitative precipitation forecast verification: A case-study over the Mackenzie river basin; The Quarterly Journal of the Royal Meteorological Society
, Volume 132 Issue 620, Pages 2107 - 2125
Silas Michaelides (Edt), 2008: Precipitations: Advances in Measurement, Estimation and Prediction. Earth and Environmental Science, Springer.