The diurnal and annual cycles of Earth drive the land surface temperature (LST) variations in space time but their combined effects are conveyed differently from place to as a function climate, local weather conditions, characteristics. Fitting model or LST cycle (DTC ATC, respectively) satellite data yields several parameters that summarize thermal dynamics each pixel. These distinct for revea...

The objective of spatial downscaling strategies is to increase the information content of coarse datasets at smaller scales. In the case of quantitative precipitation estimation (QPE) for hydrological applications, the goal is to close the scale gap between the spatial resolution of coarse datasets (e.g., gridded satellite precipitation products at resolution L 3 L) and the high resolution (l 3...

The synaptic homeostasis hypothesis of sleep proposes that slow wave sleep (SWS) causes downscaling of synaptic networks potentiated during information uptake in prior wakefulness. Two studies in Neuron challenge this mechanism. Chauvette et al. (2012) show that SWS mediates an up- rather than downregulation of excitatory postsynaptic potential responses. Grosmark et al. (2012) find that downsc...

Due to the limitation in spatial and spectral resolution, a few numbers of satellite data are applicable in field scale surface Albedo modeling. ASTER was an alternative for surface energy balance modeling, but since April 2008, shortwave detector has stopped recording due to the high-abnormal-temperature problem. Beside, temporal resolution of ASTER is insufficient for field-scale monitoring o...

Environmental monitoring of Earth from space has provided invaluable information for understanding land–atmosphere water and energy exchanges. However, the use of satellite-based precipitation observations in hydrologic and environmental applications is often limited by their coarse spatial resolutions. In this study, we propose a downscaling approach based on precipitation–land surface charact...

A method is presented for the systematic design of stabilising decentralised controllers for large-scale interconnected dynamical systems. The design method is based on (i) decentralised implementation of global controllers obtained by using existing global controller design methods, (ii) model reduction of dynamical systems, and (iii) modelling of the interactions among the subsystems comprisi...

Ramp phenomena caused by abrupt changes in wind speed may confound the stable operation of correlated electrical power supply systems, yet accurate numerical predictions are challenging, as is affected complex interactions between large-scale weather patterns and local geographical conditions. Further, optimal prediction (NWP) methods physics schemes vary a function patterns. The present study ...