The phrase "aggregation period" is correct and usable in written English.
It can be used in contexts related to data analysis, finance, or statistics, where it refers to a specific time frame during which data is collected or aggregated.
Example: "The aggregation period for the survey data was set to three months to ensure accurate results."
Alternatives: "data collection period" or "aggregation timeframe".
Note that high average degree obtained for networks produced with exponential time-window corresponds to the nodes that are active over a prolonged time-span, whose activity is aggregated over unbounded aggregation period, and the number of nodes is unbounded as well.
The degree (a), strength (b) and weight (c) distributions of the aggregated network when the aggregation period covers the whole 6 months of data.
In addition, there are strong variations in forecast quality with streamflow amount, forecast lead time, season and aggregation period.
The sedimentation period was determined by intrinsic attributes such as chemical composition and structure while the aggregation period was additionally affected by dispersion conditions.
The dynamically adjusted radar data perform best when the aggregation period is as small as 10 20 min, in which case it performs much better than static adjusted radar data and data from rain gauges situated 2 3 km away.
In the current study we investigate if adjustment can improve radar rainfall estimates to the point where they can be used for modelling overflows from urban drainage systems, and we furthermore investigate the importance of the aggregation period of the adjustment scheme.
However, there are notable differences among RFCs and for different seasons, aggregation periods and magnitudes of the observed and forecast variables, both for precipitation and temperature.
The generator is capable of reproducing a wide set of climate statistics over a range of temporal scales, from extremes, to low-frequency interannual variability; its performance for many climate variables and their statistics over different aggregation periods is highly satisfactory.
Hence, if short aggregation periods of around one week are used, the resulting network structure is dominated by strong links associated with dense clusters.
For the shortest aggregation periods (panels (a) and (b)), most of the added edges are in this set, reflecting the above observations on the early appearance of edges connected to communities and clusters.
Bias increased with larger aggregation periods, especially for the ML and TD methods.
