Not exact matches
«Hotspots
show that vegetation alters climate by up to 30 percent: Engineers find strong feedbacks between the atmosphere and vegetation that explain up to 30 % of precipitation and surface radiation variance; study reveals large potential for improving
seasonal weather
predictions.»
A few climate models have been tested for (and
shown) capability in initial value
predictions, on time scales from weather forecasting (a few days) to
seasonal forecasting (annual).
While the goal of this campaign was to improve
seasonal ice
prediction, the work also
showed two important processes at work:
A top - down climate effect that
shows long - term drift (and may also be out of phase with the bottom - up solar forcing) would change the spatial response patterns and would mean that climate - chemistry models that have sufficient resolution in the stratosphere would become very important for making accurate regional /
seasonal climate
predictions.
Overall, the CM - HPS
shows potential for
seasonal streamflow
prediction, and further enhancements in climate models could potentially to lead to more skilful hydrologic
predictions.
Overall, the CM - HPS
shows potential for
seasonal streamflow
prediction, and further enhancements in climate models could potentially to lead to more skillful hydrologic
predictions
Observations from space
show that the feedbacks working during
seasonal warming are not consistent with the
predictions of AOGCMs.
This new
prediction system
shows the multi-year predictive skills of drought and wildfire conditions beyond the typical timescale of
seasonal climate forecast models.
The meeting
showed that climate
predictions and
seasonal climate outlooks at present have the highest potential to be more readily used, while
predictions of climate variability and change are not yet ready to be applied from an engineering point of view.