Sentence examples for hourly timescale from inspiring English sources
With the preferred model, sensitivity analysis was used to identify the dominant controls on streamflow variability at the hourly timescale.
To allow building scientists and engineers to investigate how their building designs fare in future climates there is the need for future weather files on an hourly timescale, which are representative of possible future climates.
Validation of HYDRUS-1D simulations against EC measurements was satisfactory, with RMSE values of about 40 W m−2 at the hourly timescale and 0.5 mm d−1 at the daily timescale.
The experimental efforts and related costs of LNISO testing are minimal (e.g., 1 week experiment with 6 samples of each compound tested for chemical stability at different time points on an hourly timescale).
The post-real time product of Day-1 Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) is evaluated over Mainland China from April to December 2014 at the hourly timescale, against data from hourly ground-based observations.
In summary the aim is not to present a distributed model of universal applicability, but to generate insights into the climate, soil and vegetation controls on streamflow variability at the hourly timescale, and on predictive accuracy and uncertainty, that can be used in future modelling efforts.
The results indicated that the downscaled and disaggregated rainfall data based on multiple ensembles from HadCM3 for the period from 1980 to 2010 could well cover the observed mean rainfall amount and extreme data, and also reasonably keep the spatial correlations both at daily and hourly timescales.
Fluxes of both CH4 and N2O showed high variability on a half-hourly timescale, especially during the first 2 months of the measurements and during the night (Fig. 3).
Eddy fluxes are governed by complex, turbulent eddy motion (rich in spectral properties) over seconds, while interactions with weather patterns, bulk turbulent flow characteristics, eco-physiological and biochemical characteristics of plant canopy, and the hydrological conditions induce variability in fluxes at hourly to monthly timescales (Katul et al. 2001).
Electricity generated from wind power can be highly variable at several different timescales: hourly, daily, or seasonally.
We only determined and summed the wavelet coefficients within dyadic timescales ranging from 21 (hourly) to 216 (~4 years) because of the unreliability of the wavelet coefficients associated with longer timescales (217 or ~8 years) as in a previous study (Stoy et al. 2005).
