The purpose of this paper is to develop a general framework for the prediction of complex multiscale phenomena and to illustrate this framework through comparison to two examples of current interest to the authors. Prediction involves a two step process of inverse prediction to describe the system, given observations of its behavior, and forward prediction, to specify system behavior, given its...

Abstract As an attractive technique for measuring water vapor, the Global Navigation Satellite System (GNSS) faces additional challenges in dynamic applications such as open sea. We present a new method of retrieving precipitable vapor (PWV) based on GNSS multi‐antenna precise point positioning (PPP), which uses data from multiple antennas and incorporates constraints known baseline vector comm...

GPS receivers have been profitably employed by researchers for investigations into ionospheric and atmospheric science. However, a number of improvements in measurement accuracy are necessary for today’s applications. The ionosphere has practical importance in GPS applications because it influences transionospheric radio wave propagation. Total Electron Content (TEC) is one of the parameters of...

We investigate the strain effect on Goos-H\"anchen (GH) shifts and group delay time for transmitted Dirac fermions in gapped graphene through a single barrier potential. The solutions of energy spectrum are used to compute transmission probabilities together with GH time. Our results show that two last quantities strongly depending weather is applied along armchair or zigzag directions. In part...

In the transportation literature in general and the travel behaviour literature specifically, there is no consensus on the representation of weather in behavioural models, ranging from studies that use direct meteorological measurements, such a continuous variable for inches of rainfall or temperature, to indicator variables (which themselves are often subjectively derived) for qualitative weat...

background: industrialization and urbanization had a devastating impact on public health and caused an increase in health related morbidity and mortality. in fact, asthma is a chronic condition which is considered as one of the significant challenges of public health. in this study, we investigated the association of air pollution and weather conditions with excess emergency ward admissions of ...

The purpose of this paper is to demonstrate the validity of mesoscale numerical weather prediction modeling near the complex terrain at Aubrey Cliffs, Arizona, and to investigate the influence of the outer domain size employed on the computational results. Mesoscale Modeling v5 (MM5) was implemented to produce numerical wind data that was compared with experimental wind data. The results obtain...

Field experiments designed to study the possible uses of plant growth regulators on several different varieties of beans grown under the diverse conditions of southern California had three general objectives: I, to investigate the possibility of increasing yield of green or dry lima beans, bush or pole snap beans by the application of sprays of plant hormones; 2, to delay the maturity of lima b...

In Distributed Collaborative Adaptive Sensing (DCAS) networks like the CASA testbeds [1] the data network itself is a crucial part of the overall system. Without timely transport of weather data from the radars to the control node and control data from this central node back to the radars an optimal operation of the DCAS network cannot be guaranteed. For example, if data from one radar arrives ...