نتایج جستجو برای: surface wind directions

تعداد نتایج: 795135  

Journal: :Remote Sensing 2016
Yi-Ran Wang Xiao-Ming Li

Derivation of sea surface wind direction is a key step of sea surface wind retrieval from spaceborne Synthetic Aperture Radar (SAR) data. This technical note describes an implementation of the Local Gradient (LG) method to derive sea surface wind directions at a scale of a few kilometers from X-band spaceborne SAR TerraSAR-X (TS-X) data in wide swath mode. The 180 ̋ ambiguity in the derived sea ...

2013
GISELA KARINA CARVAJAL

This thesis focuses on the development, analysis and evaluation of methods for the retrieval of ocean surface winds with synthetic aperture radar (SAR) and surface currents with infrared (IR) radiometer sensors. The SAR wind speed retrievals are based on geophysical model functions using wind directions obtained with two approaches. The first approach determines wind directions from the spatial...

گورابـی, ابـوالقاسـم , یمـانی, مجتبـی ,

Dry climate, poor vegetation and relatively smooth surface and neighborhood with plain Lute are the most important factors that brought about wind erosion processes prevail in the Kerman region. Obviously, wind erosion rate and volume of material transfer depends on characteristics of speed and direction also frequency of wind as well as surface and sediment characteristics. The purpose of this...

Journal: :Remote Sensing 2017
Lizhang Zhou Gang Zheng Xiaofeng Li Jingsong Yang Lin Ren Peng Chen Huaguo Zhang Xiulin Lou

Sea surface wind affects the fluxes of energy, mass and momentum between the atmosphere and ocean, and therefore regional and global weather and climate. With various satellite microwave sensors, sea surface wind can be measured with large spatial coverage in almost all-weather conditions, day or night. Like any other remote sensing measurements, sea surface wind measurement is also indirect. T...

2014
Ding Nie Min Zhang Ning Li

The microwave polarimetric scattering from two-dimensional (2-D) wind fetchand water depth-limited nearshore sea surface is investigated by using the second-order small-slope approximation (SSA-II). The sea waves are simulated by taking into account the influences of fetch and depth. Based on this, the joint influence of fetch and depth on the normalized radar cross section (NRCS) of sea surfac...

1999
Jochen Horstmann Susanne Lehner Wolfgang Koch Rasmus Tonboe

he high resolution and large coverage of satellite synthetic aperture radar (SAR) offer a unique opportunity to derive mesoscale wind fields over the ocean surface and to investigate their spatial variation. For this purpose, different algorithms were developed and tested using SAR images from two European Remote Sensing satellites. In this article, the methods for deriving wind fields from SAR...

Extended abstract 1- Introduction Arid and semi-arid regions of the world cover more than 30% of the earthchr('39')s surface. Wind, as one of the erosive agents of the earthchr('39')s surface, causes the transport of sand and deformation in arid areas. Wind erosion is directly related to wind speed. The higher the wind speed is above the threshold value, the more increase in wind speed. This ...

Journal: :Remote Sensing 2014
Suleiman Alsweiss Rafik Hanna Peth Laupattarakasem W. Linwood Jones Christopher C. Hennon Ruiyao Chen

Satellite microwave scatterometers are the principal source of global synoptic-scale ocean vector wind (OVW) measurements for a number of scientific and operational oceanic wind applications. However, for extreme wind events such as tropical cyclones, their performance is significantly degraded. This paper presents a novel OVW retrieval algorithm for tropical cyclones which improves the accurac...

2007
Richard Danielson Michael Dowd Harold Ritchie

A nonlinear regression approach is employed to construct a surface wind analysis from a synthetic aperture radar (SAR) acquisition off the west coast of North America and a collocated operational marine wind forecast. The analysis is iteratively constructed using a cost function that minimizes discrepancies with the wind forecast, the SAR backscatter, and wind directions that are inferred from ...

Journal: :desert 2013
h. ahmadi m.a. saremi naeini m. yadegari

in order to recognize the wind erosion situation of a region, the survey of its windiness is not sufficient and the physical characteristics of earth are of importance too. in fact, the outbreak of dust storms in a region is due to the sensitivity of earth and domination of wind in that region. in this investigation we have tried to find a way for determining the regions in which a dust storm i...

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