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The developed LE gap-filling model (PCA with KNN) works with a RMSE of 2.4 W m−2 (∼0.09 mm day−1) at a weekly time scale by adding 40% artificial flux gaps into original dataset.
SSTA data were approximately 4 km resolution Pathfinder AVHRR raster data on a weekly time scale from 1985 through 2005.
An important consideration is whether changes in UV radiation, operating at a weekly time scale, constitute a biologically plausible mechanism that explains seasonal oscillation in pneumococcal disease risk.
At a weekly time scale we found increases in UV radiation to be most strongly associated with decreased numbers of invasive pneumococcal disease cases, though average temperatures also appeared to influence disease risk.
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We found similar relationships between cetaceans and bathymetric features at both interannual and weekly time scales.
The application of the SWDI in an agricultural area of Spain presented good results at both daily and weekly time scales when compared to two climatic water deficit indicators (average correlation coefficient, R, 0.6) and to agricultural production.
Chronological analysis shows individual fields may have a varying contribution to the areal average sensible heat flux on short (weekly) time scales due to phenological development and changing soil moisture conditions.
Previous research has primarily focused on examining the statistical properties of taxi trips to characterize travel patterns, while it may be more appropriate to explore taxi service strategies on seasonal, weekly or daily time scale.
This study presents a comparison of Chaos theory and Auto-Regressive Integrated Moving Average (ARIMA) techniques for sea level modelling for daily, weekly, 10-day and monthly time scale at the Cocos (Keeling) islands from 1992 to 2001.
Flood plume water types over multi-annual (Figure 9), annual (Figure 12), and weekly (Figure 13) time scales provide synoptic information in monitoring the water quality conditions of GBR coastal waters.
In this study, we were able to improve the time scale by employing weekly monitoring data for TTHMs.
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