Physics – Geophysics
Scientific paper
Dec 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005georl..3223818l&link_type=abstract
Geophysical Research Letters, Volume 32, Issue 23, CiteID L23818
Physics
Geophysics
1
Mathematical Geophysics: Prediction (3245, 4263), Mathematical Geophysics: Probabilistic Forecasting (3238), Atmospheric Processes: Model Calibration (1846), Atmospheric Processes: Precipitation (1854), Atmospheric Processes: Regional Modeling
Scientific paper
A model output statistics (MOS) technique is developed to investigate the potential rainfall forecast skill for extreme seasons over southern Africa. Rainfall patterns produced by the ECHAM4.5 atmospheric GCM are statistically recalibrated to regional rainfall for the seasons of September-November, December-February, March-May and June-August. Archived records of the GCM simulated fields are related to observed rainfall through a set of canonical correlation analysis (CCA) equations. Probabilistic forecast skill (RPSS and ROC) of MOS-recalibrated simulations for 5 equi-probable categories is assessed using a 3-year-out cross-validation approach. High skill RPSS values are found for the DJF and MAM seasons. Although ROC scores for DJF and MAM are larger than 0.5 for all categories (scores less than 0.5 suggest negative skill), scores for DJF show that the extreme categories are more predictable than the inner categories and scores for MAM show that skill is mostly associated with the extremely wet category. The GCM's ability to reproduce tropical-temperate trough variability constitutes the main source of predictability for DJF and MAM.
Botes Stephanie
Goddard Lisa
Landman Willem A.
Shongwe Mxolisi
No associations
LandOfFree
Assessing the predictability of extreme rainfall seasons over southern Africa does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Assessing the predictability of extreme rainfall seasons over southern Africa, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Assessing the predictability of extreme rainfall seasons over southern Africa will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1432708