Below is the Elevation map of Torrent,Spain, which displays range of elevation with different colours. The elevation map of Torrent,Spain is generated using elevation data from NASA's 90m resolution SRTM data.The maps also provides idea of topography and contour of Torrent,Spain.Torrent,Spain Elevation Map is displayed at different zoom levels. ?NEW!Interactive Color Elevation Map
As you gain elevation views expand, stretching southwest to the summits, clad in glistening glaciers, towering over the Arolla Valley. On a clear day vistas extend beyond Arolla to Mont Blanc de Cheilon and the Grand Combin.
Elevation torrent
This section discusses the total daily incident shortwave solar energy reaching the surface of the ground over a wide area, taking full account of seasonal variations in the length of the day, the elevation of the Sun above the horizon, and absorption by clouds and other atmospheric constituents. Shortwave radiation includes visible light and ultraviolet radiation.
The topography within 2 miles of Torrent contains only modest variations in elevation, with a maximum elevation change of 364 feet and an average elevation above sea level of 163 feet. Within 10 miles contains only modest variations in elevation (1,188 feet). Within 50 miles contains very significant variations in elevation (5,564 feet).
For each station, the records are corrected for the elevation difference between that station and Torrent according to the International Standard Atmosphere , and by the relative change present in the MERRA-2 satellite-era reanalysis between the two locations.
The stations contributing to this reconstruction are: Valencia Airport (LEVC, 98%, 3.7 mi, north, 56 ft elevation change)
Alicante Airport (LEAL, 1.0%, 80 mi, south, -26 ft elevation change)
Albacete Airport (LEAB, 0.8%, 82 mi, southwest, 2,133 ft elevation change)
To get a sense of how much these sources agree with each other, you can view a comparison of Torrent and the stations that contribute to our estimates of its temperature history and climate. Please note that each source's contribution is adjusted for elevation and the relative change present in the MERRA-2 data.
The latitude of Torrent is 39.432237, and the longitude is -0.472373. Torrent is a city is located at Spain with the gps coordinates of 39 25' 56.0532'' N and 0 28' 20.5428'' W. The elevation of Torrent is 56.161, the time zone is Europe/Madrid.
COURSE: The course is an approximate 10 mile loop. It is about 80% single track trail and 20% jeep/gravel road, with a variety of terrain. There are approximately ten creek crossings per loop, so you will get wet. There is about 850 feet of elevation gain per loop.
High-resolution texture downloads for Earth, for use in Orbiter Space Flight Simulator. Download the complete Earth texture set via torrent, or individual texture layers via http. See the Installation instructions for installation help.
High-resolution texture downloads for the Moon, for use in Orbiter Space Flight Simulator. Download the complete Moon texture set via torrent, or individual texture layers via http. See the Installation instructions for installation help.
The surface and elevation tiles for this set have been processed from Mars Express HRSC data (level-4) and referenced to the lower-resolution NASA MSG/MOC data. MOC and MOLA data have also been used to fill the gaps in HRSC coverage.
New surface textures and elevation data for Titan. Surface textures are based on the Cassini ISS Titan Moasic, updated, amended and restored by Ian Regan. Used by permission from the author. Elevation data are based on Corlies et al. Cassini end of mission data.
The Minor bodies texture package contains high-resolution versions of the surface textures (and elevation data where applicable) for Phobos, Vesta, Io, Europa and Enceladus. Download the complete MinorBodies texture set via torrent or http. See the Installation instructions for installation help.
Based on the mountain torrent disaster data, a GIS database was established to analyze the distribution characteristics of mountain torrent disasters in Guangdong province, China. Factors such as lithology, slope, elevation, aspect, slope pattern, and distance to river networks were selected to assess hazard degree by a method of factor contribution rate. It is found that the mountain torrent disaster was mainly the medium-sized scale. The Hanjiang River basin has the most disaster and Chaozhou City has the largest disaster distribution density. The Jurassic strata, slope from 10 to 20, elevation from 300 to 400 m, sunny slope, linear slope pattern, and distance to river networks less than 5 km have the largest factor contribution rate which are the most prone areas to mountain torrent disasters. The calculated hazard index is between 0.0189 and 0.2592. The hazard zones can be divided into five zones: safety, low, middle, high and higher zones. The result can provide a basis for mountain torrent disaster mitigation of Guangdong province, China.
The left Cenischia valley includes some of the best known alpine basins prone to debris flow in Northwestern Italian Alps. In particular, in the Marderello catchment (6,6 km), a left tributary of the Cenischia river, 31 important debris flood/flow events occurred during the last one hundred years. According to the chronicles of the last three centuries, events with significant volumes are on the average liable to take place every 3-4 years, whereas minor events may occur even twice per year. Due to the high frequency of activations, the site is of relevant interest for monitoring purposes. Since the early nineties, the CNR IRPI equipped the Marderello basin with meteorological monitoring devices. The rainfall monitoring network consists of four rain gauges, placed at different elevations, between 800 m a.s.l. and 2854 m a.s.l. Other meteorological data (air moisture and temperature, atmospheric pressure, wind speed and direction) are provided by three stations located at 3150, 2150 and 830 m a.s.l. The main objective of the monitoring is the investigation of the triggering conditions for debris flows initiation. In the scientific literature the prediction of debris flows is often tackled by the use of empirical methods, based on the analysis of past activation and related rainfall triggering conditions. The effectiveness of these methods strictly depends on the representativeness of the meteorological monitoring stations used to collect the data. In complex orography sites, as the Alpine catchments are, the remarkable elevation gaps between the source areas of debris flows and the rain gauges position make it difficult to identify the triggering rainfall. To attain more reliable results, the elevation effect must be considered. In fact, elevation influences the precipitation in terms of cumulative values and, as a result of the temperature gradient, it controls the nature of the precipitation (rain/snow). In the present study we use the rainfall and temperature monitoring data collected in the Marderello basin to investigate the effect of the elevation on the recorded precipitation. The capability to find a correlation between elevation and rainfall can be useful to have a better comprehension of triggering mechanisms, to identify the source areas and to produce reliable event predictions. 2ff7e9595c
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