scholarly journals Temporal and Spatial Resolved Measurements of the Emission of High-Frequency Silent Discharge

1990 ◽  
Vol 110 (5) ◽  
pp. 302-308
Author(s):  
Masaki Kuzumoto ◽  
Shigenori Yagi
Keyword(s):  
High Frequency ◽  
Silent Discharge ◽  
Temporal And Spatial

scholarly journals On the skill of high frequency precipitation analyses

2014 ◽  
Vol 11 (10) ◽  
pp. 11605-11636
Author(s):  
A. Kann ◽  
I. Meirold-Mautner ◽  
F. Schmid ◽  
G. Kirchengast ◽  
J. Fuchsberger
Keyword(s):  
High Frequency ◽  
Cross Validation ◽  
Rain Gauge ◽  
Convective Precipitation ◽  
Convective Condition ◽  
Station Network ◽  
Temporal And Spatial Variability ◽  
Temporal And Spatial ◽  
Merging Algorithms ◽  
Very High

Abstract. The ability of radar-rain gauge merging algorithms to precisely analyse convective precipitation patterns is of high interest for many applications, e.g. hydrological modelling. However, due to drawbacks of methods like cross-validation and due to the limited availability of reference datasets on high temporal and spatial scale, an adequate validation is usually hardly possible, especially on an operational basis. The present study evaluates the skill of very high resolution and frequently updated precipitation analyses (rapid-INCA) by means of a very dense station network (WegenerNet), operated in a limited domain of the south-eastern parts of Austria (Styria). Based on case studies and a longer term validation over the convective season 2011, a general underestimation of the rapid-INCA precipitation amounts is shown, although the temporal and spatial variability of the errors is – by convective nature – high. The contribution of the rain gauge measurements to the analysis skill is crucial. However, the capability of the analyses to precisely assess the convective precipitation distribution predominantly depends on the representativeness of the stations under the prevalent convective condition.

scholarly journals Application of Morishita Spread Index to temporal and spatial distribution characteristics of landslides in Shanxi and Gansu provinces of China

2000 ◽  
Vol 21 ◽  
Author(s):  
Luo Wenqiang ◽  
Zhang Zhuoyuan ◽  
Huang Runqiu
Keyword(s):  
Spatial Distribution ◽  
High Frequency ◽  
Temporal Distribution ◽  
The Other ◽  
Distribution Characteristics ◽  
Temporal And Spatial Distribution ◽  
Landslide Occurrence ◽  
Cluster Distribution ◽  
Spatial Distribution Characteristics ◽  
Temporal And Spatial

Morshita Spread Index Iδ was applied for the study of temporal and spatial distribution characteristics of landslides in the Shanxi and Gansu provinces of China. For this purpose, the landslides larger than 105 m3 in volume were considered. In the study area, the spatial distribution of Morishita Spread Index Iδ (l) isgreater than 1 and decreases with increasing mesh scale. Such a trend indicates cluster distribution of landslides. On the other hand, the temporal distribution of Morishita Spread Index Iδ (t) for the above landslides showed a maximum and a minimum, corresponding to the years with high frequency of landslide occurrence.

scholarly journals Multi-Sensor Observations of Submesoscale Eddies in Coastal Regions

2020 ◽  
Vol 12 (4) ◽  
pp. 711
Author(s):  
Gang Li ◽  
Yijun He ◽  
Guoqiang Liu ◽  
Yingjun Zhang ◽  
Chuanmin Hu ◽  
...  
Keyword(s):  
High Frequency ◽  
Color Index ◽  
Ocean Color ◽  
Coastal Region ◽  
Surface Currents ◽  
Temporal And Spatial Variation ◽  
Significant Difference ◽  
Eddy Structures ◽  
Temporal And Spatial ◽  
Submesoscale Processes

The temporal and spatial variation in submesoscale eddies in the coastal region of Lianyungang (China) is studied over a period of nearly two years with high-resolution (0.03°, about 3 km) observations of surface currents derived from high-frequency coastal radars (HFRs). The centers and boundaries of submesoscale eddies are identified based on a vector geometry (VG) method. A color index (CI) representing MODIS ocean color patterns with a resolution of 500 m is used to compute CI gradient parameters, from which submesoscale features are extracted using a modified eddy-extraction approach. The results show that surface currents derived from HFRs and the CI-derived gradient parameters have the ability to capture submesoscale processes (SPs). The typical radius of an eddy in this region is 2–4 km. Although no significant difference in eddy properties is observed between the HFR-derived current fields and CI-derived gradient parameters, the CI-derived gradient parameters show more detailed eddy structures due to a higher resolution. In general, the HFR-derived current fields capture the eddy form, evolution and dissipation. Meanwhile, the CI-derived gradient parameters show more SPs and fill a gap left by the HFR-derived currents. This study shows that the HFR and CI products have the ability to detect SPs in the ocean and contribute to SP analyses.

High Frequency Testing and Modeling of Silent Discharge Ozone Generators

2003 ◽  
Vol 25 (5) ◽  
pp. 363-376 ◽  
Author(s):  
J. M. Alonso ◽  
M. Valdés ◽  
A. J. Calleja ◽  
J. Ribas ◽  
J. Losada
Keyword(s):  
High Frequency ◽  
Silent Discharge

Effect of repetitive visual stimuli on behaviour and plasma corticosterone of European starlings

2005 ◽  
Vol 55 (3) ◽  
pp. 245-258 ◽  
Author(s):  
◽  
◽  
◽  
Keyword(s):  
Spatial Frequency ◽  
High Frequency ◽  
Temporal Frequency ◽  
Low Frequency ◽  
High Spatial Frequency ◽  
Plasma Corticosterone ◽  
European Starlings ◽  
Fluorescent Lamps ◽  
Spatial Frequencies ◽  
Temporal And Spatial

AbstractFlickering light can cause adverse effects in some humans, as can rhythmic spatial patterns of particular frequencies. We investigated whether birds react to the temporal frequency of standard 100 Hz fluorescent lamps and the spatial frequency of the visual surround in the manner predicted by the human literature, by examining their effects on the preferences, behaviour and plasma corticosterone of European starlings (Sturnus vulgaris). We predicted that high frequency lighting (> 30 kHz) and a relatively low spatial frequency on the walls of their cages (0.1 cycle cm−1) would be less aversive than low frequency lighting (100 Hz) and a relatively high spatial frequency (2.5 cycle cm−1). Birds had strong preferences for both temporal and spatial frequencies. These preferences did not always fit with predictions, although there was evidence that 100 Hz was more stressful than 30 kHz lighting, as birds were less active and basal corticosterone levels were higher under 100 Hz lighting. Our chosen spatial frequencies had no overall significant effect on corticosterone levels. Although there are clearly effects of, and interactions between, the frequency of the light and the visual surround on the behaviour and physiology of birds, the pattern of results is not straightforward.

scholarly journals A Preliminary Study of Wave Energy Resource Using an HF Marine Radar, Application to an Eastern Southern Pacific Location: Advantages and Opportunities

2021 ◽  
Vol 13 (2) ◽  
pp. 203
Author(s):  
Valeria Mundaca-Moraga ◽  
Rodrigo Abarca-del-Rio ◽  
Dante Figueroa ◽  
James Morales
Keyword(s):  
High Resolution ◽  
Wave Energy ◽  
High Frequency ◽  
Numerical Models ◽  
Energy Resource ◽  
Hf Radar ◽  
Wave Power ◽  
High Concentration ◽  
Wave Radar ◽  
Temporal And Spatial

As climate change is of global concern, the electric generation through fossil fuel is progressively shifted to renewable energies. Among the renewables, the most common solar and wind, the wave energy stands for its high-power density. Studies about wave energy resource have been increasing over the years, especially in coastal countries. Several research investigations have assessed the global wave power, with higher values at high latitudes. However, to have a precise assessment of this resource, the measurement systems need to provide a high temporal and spatial resolution, and due to the lack of in-situ measurements, the way to estimate this value is numerical. Here, we use a high-frequency radar to estimate the wave energy resource in a nearshore central Chile at a high resolution. The study focuses near Concepción city (36.5° S), using a WERA (WavE RAdar) high frequency (HF) radar. The amount of annual energy collected is calculated. Analysis of coefficient of variation (COV), seasonal variability (SV), and monthly variability (MV) shows the area's suitability for installing a wave energy converter device due to a relatively low variability and the high concentration of wave power obtained. The utility of HF radars in energy terms relies on its high resolution, both temporal and spatial. It can then compare the location of interest within small areas and use them as a complement to satellite measurements or numerical models, demonstrating its versatility.

scholarly journals Localization of rainfall and determination its intensity in the lower layers of the troposphere from the measurements of local RF transmitter characteristics

2016 ◽  
Vol 46 (4) ◽  
pp. 307-319
Author(s):  
Dušan Podhorský ◽  
Peter Fabo
Keyword(s):  
High Frequency ◽  
Cell Phone ◽  
Warning System ◽  
Spatial Diversity ◽  
Base Stations ◽  
Frequency Range ◽  
Temporal And Spatial Distribution ◽  
Rf Transmitter ◽  
Radar Network ◽  
Temporal And Spatial

Abstract The article deals with a method of acquiring the temporal and spatial distribution of local precipitation from measurement of performance characteristics of local sources of high frequency electromagnetic radiation in the 1-3GHz frequency range in the lower layers of the troposphere up to 100 m. The method was experimentally proven by monitoring the GSM G2 base stations of cell phone providers in the frequency range of 920-960MHz using methods of frequential and spatial diversity reception. Modification of the SART method for localization of precipitation was also proposed. The achieved results allow us to obtain the timeframe of the intensity of local precipitation in the observed area with a temporal resolution of 10 sec. A spatial accuracy of 100m in localization of precipitation is expected, after a network of receivers is built. The acquired data can be used as one of the inputs for meteorological forecasting models, in agriculture, hydrology as a supplementary method to ombrograph stations and measurements for the weather radar network, in transportation as part of a warning system and in many other areas.

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