While these relationships lay a path forward to
improving seasonal predictions of ice conditions in the region, developing an operational prediction scheme would require more timely acquisition of Bering Strait heat inflow data than is presently possible.
• How can improved estimates of sea ice thickness help
improve seasonal predictions of sea ice conditions?
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.»
It is the top priority of my research group to try to solve this problem to
improve our climate
predictions and, depending on the answer, it could affect
predictions on all timescales from medium range forecasts, through monthly,
seasonal, decadal and even climate change projections.
For the future, data assimilation might help us to keep the state of a climate model closer to the real world's, allowing us to
improve predictions on
seasonal and decadal time scales.
While the goal of this campaign was to
improve seasonal ice
prediction, the work also showed two important processes at work:
An accurate
prediction of the AO could lead to
improved seasonal temperature forecasts over the major population centers in eastern North America and Europe as it explains the largest fraction of temperature variance of any other climate mode over these regions.
The subseasonal to
seasonal timescale provides a unique opportunity to capitalise on the expertise of the weather and climate research communities, and to bring them together to
improve predictions on a timescale of particular relevance to the Global Framework for Climate Services (GFCS).
Within the confines of our work with RASM and CESM, we will: (i) quantify the added value of using regional models for downscaling arctic simulations from global models, (ii) address the impacts of high resolution,
improved process representations and coupling between model components on
predictions at
seasonal to decadal time scales, (iii) identify the most important processes essential for inclusion in future high resolution GC / ESMs, e.g. ACME, using CESM as a test bed, and (iv) better quantify the relationship between skill and uncertainty in the Arctic Region for high fidelity models.
The new ice thickness estimates will also be used to
improve on - going
seasonal predictions of sea ice extent.
The
improved robust and reliable forecasting can help meteorological and climate services to better deliver tailored
predictions and advice, including sub-
seasonal to
seasonal time scales, will take Arctic climate
prediction beyond seasons and to teleconnections over the Northern Hemisphere.
The Polar
Prediction Project (PPP) is a 10 - year (2013 — 2022) endeavour of the World Meteorological Organization's (WMO) World Weather Research Programme (WWRP) with the aim of promoting cooperative international research enabling development of improved weather and environmental prediction services for the polar regions, on time scales from hours to
Prediction Project (PPP) is a 10 - year (2013 — 2022) endeavour of the World Meteorological Organization's (WMO) World Weather Research Programme (WWRP) with the aim of promoting cooperative international research enabling development of
improved weather and environmental
prediction services for the polar regions, on time scales from hours to
prediction services for the polar regions, on time scales from hours to
seasonal.
Various hydrologic models with different complexities have been developed to represent the characteristics of river basins,
improve streamflow forecasts such as
seasonal volumetric flow
predictions, and meet other demands from different stakeholders.
An
improved dynamical understanding of how the tropical Pacific Ocean transitions into hiatus events, including its
seasonal structure, may help to
improve future
prediction of decadal climate variations.
An immediate benefit of the development of this new index is
improved seasonal climate
predictions.
Elsner, J. B. and Schmertmann, 1993:
Improving extended - range
seasonal predictions of intense Atlantic hurricane activity.
Long - range,
seasonal to decadal forecasting: Several studies led by George Mason University, the University of Miami, and NCAR aim to
improve prediction of weather patterns months to years in advance.