@InProceedings{VanOldenborghCoel:2006:PrSeFo,
author = "Van Oldenborgh, G. J. and Coelho, Caio Augusto dos Santos",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE/CPTEC)}",
title = "Probabilistic seasonal forecast verification with the climate
explorer",
booktitle = "Abstracts...",
year = "2006",
organization = "European Geosciences Union General Assembly 2006.",
keywords = "*.",
abstract = "Seasonal climate forecasts are made using multi-model ensembles.
Contrary to climate change projections, the skill of the forecasts
can be verified against observations using old forecasts and
hindcasts. In practice the small number of forecasts (15-45) is a
severe limitation, as the skill depends strongly on the region and
season. We present a web-based system to produce charts and maps
of the skill of operational seasonal forecast systems using a
variety of measures. It is part of the KNMI Climate Explorer
(climexp.knmi.nl), and presently contains data from the ECMWF S2
and NCEP CFS operational forecast systems, as well as the Demeter
research experiment. The verification measures have been developed
in the RCLIM project, and include deterministic measures such as
the ensemble mean correlation, RMSE and MAE, as well as
probabilistic measures such as the Brier Score, its decomposition
into resolution, reliability and uncertainty, and the ROC curve.
These are available both for time series (area-averaged or all
grid points in a region) and as spatial maps. More measures, and
estimates of the uncertainties of the skill scores, are planned.
The verification system allows seasonal forecasters and climate
researchers to quickly explore the predictability of the
short-term climate with current state-of-the-art models.",
conference-location = "Vienna, Austria",
conference-year = "2-7 Apr.",
language = "en",
organisation = "EGU",
targetfile = "egu06_climexp.pdf",
urlaccessdate = "25 abr. 2024"
}