Results 41 to 50 of about 3,761,012 (326)
Subseasonal Forecast Skill over the Northern Polar Region in Boreal Winter
Pentad (5-day averaged) forecast skill over the Arctic region in boreal winter is evaluated for the subseasonal to seasonal prediction (S2S) systems from three operational centers: the European Centre for Medium-Range Weather Forecasts (ECMWF), the U.S ...
Hai Lin
semanticscholar +1 more source
Observer-based power forecast of individual and aggregated offshore wind turbines [PDF]
Due to the increasing share of wind energy in the power system, minute-scale wind power forecasts have gained importance. Remote-sensing-based approaches have proven to be a promising alternative to statistical methods and thus need to be further ...
F. Theuer +4 more
doaj +1 more source
SST forecast skill relative to atmospheric and oceanic forcing.
For July-initialized CanCM4-ROMS-BC forecasts at 7.5-month lead, (top) SSH and (bottom) SST forecast skill are shown using different model outputs for verification: the UCSC ocean reanalysis (CCSRA), the Hindcast (like CCSRA but without data assimilation)
Christopher A. Edwards (2927097) +10 more
core +1 more source
Skill Assessment of Water Supply Outlooks in the Colorado River Basin
Water-supply outlooks that predict the April through July (snowmelt) runoff and assist in estimating the total water-year runoff, are very important to users that rely on the major contributing watersheds of the Colorado River.
Brent Harrison, Roger Bales
doaj +1 more source
In contrast to the historical forecast test which is temporally successive with a near-steady forecast skill, the real-time forecast made at any one moment produces a forecast time-series whose skill rapidly decreases as the forecast lead time increases;
Tianyi Wang +4 more
doaj +1 more source
Understanding the relationship between streamflow forecast skill and value across the western US [PDF]
Accurate seasonal streamflow forecasts are essential for effective decision-making in water management. In a decision-making context, it is important to understand the relationship between forecast skill – the accuracy of forecasts against observations –
P. A. Modi +10 more
doaj +1 more source
Improvements in subseasonal forecasts of rainfall extremes by statistical postprocessing methods
End users of seasonal rainfall forecasts demand not only skilful forecasts of rainfall totals but also skilful forecasts of rainfall extremes. For better forecasts of rainfall extremes, the copula-based postprocessing (CPP) method, which was originally ...
Ming Li, Huidong Jin, Quanxi Shao
doaj +1 more source
Seasonal Drought Predictability and Forecast Skill Over China
Xing Yuan, Aizhong Ye, Feng Ma
exaly +2 more sources
AbstractA basic question in forecasting is whether one prediction system is more skillful than another. Some commonly used statistical significance tests cannot answer this question correctly if the skills are computed on a common period or using a common set of observations, because these tests do not account for correlations between sample skill ...
Timothy DelSole, Michael K. Tippett
openaire +1 more source
Assessing subseasonal forecast skill for use in predicting US coastal inundation risk [PDF]
Developing predictions of coastal flooding risk on subseasonal timescales (2–6 weeks in advance) is an emerging priority for the National Oceanic and Atmospheric Administration (NOAA).
J. R. Albers +8 more
doaj +1 more source

