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Thursday, July 9, 2020 | History

2 edition of regional surface wind model for mountainous coastal areas found in the catalog.

regional surface wind model for mountainous coastal areas

James E Overland

regional surface wind model for mountainous coastal areas

by James E Overland

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  • 11 Currently reading

Published by Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, for sale by the Supt. of Docs., U.S. Govt. Print. Off. in Boulder, Colo, Washington .
Written in English

    Subjects:
  • Wind forecasting,
  • Winds -- Mathematical models,
  • Winds -- Washington (State) -- Puget Sound -- Mathematical models

  • Edition Notes

    StatementJames E. Overland, Matthew H. Hitchman, Young June Han, Pacific Marine Environmental Laboratory
    SeriesNOAA technical report ERL -- 407. -- PMEL -- 32, NOAA technical report ERL -- 407., NOAA technical report ERL -- 32.
    ContributionsHitchman, Matthew H., joint author, Han, Young June, joint author, Pacific Marine Environmental Laboratory (U.S.)
    The Physical Object
    Paginationiii, 34 p. :
    Number of Pages34
    ID Numbers
    Open LibraryOL13602914M

    Most geologists classify a mountain as a landform that rises at least 1, feet ( meters) or more above its surrounding area. A mountain range is a series or chain of mountains that are close. The Geography of Pakistan (Urdu: جغرافیۂ پاکِستان ‎) is a profound blend of landscapes varying from plains to deserts, forests, and plateaus ranging from the coastal areas of the Arabian Sea in the south to the mountains of the Karakoram, Hindukush, Himalayas ranges in the north. Pakistan geologically overlaps both with the Indian and the Eurasian tectonic plates where its Area: Ranked 33rd.

      In this paper we analyze SAR wind field features, in particular the effects of wind shadowing. These effects represent the dynamics of the internal atmospheric boundary layer, which is formed due to the transition of the air flow arriving from the rough land surface to the “smooth” water surface. In the wind-shadowed area, the flow accelerates, and a surface wind stress increases with Author: A. K. Monzikova, V. N. Kudryavtsev, A. G. Myasoedov, B. Chapron, B. Chapron, S. S. Zilitinkevich.   GIS data on surface wind data, coastal marine area data, and upper-air data provides for an analysis of wind resource assessment. The methodology used to make a wind-potential ranking map is described in this report from the National Renewable Energy Laboratory entitled Geographic Information Systems in Support of Wind Energy Activities at.

    In this paper, we assess both normal and extreme wind conditions for wind power to present both positive and negative aspects of wind resources in China’s coastal regions. Wind speed and wind direction are the two basic features of the wind resource [10, 15, 16]. First, the mean wind speed and wind direction at 12 coastal locations will be Cited by: 4. The Consumer Option for an Alternative System to Allocate Losses (COASTAL) Act requires a time history of mean wind, wind gust, surface pressure and air-sea temperature difference (atmospheric stability, AS) over the area impacted by a landfalling tropical cyclone in order to estimate the strength and timing of damaging winds and also to force wave and surge models.


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Regional surface wind model for mountainous coastal areas by James E Overland Download PDF EPUB FB2

A REGIONAL SURFACE WIND MODEL FOR MOUNTAINOUSCOASTAL AREAS* James E. Overland, MatthewH. Hitchman, and YoungJune Han ABSTRACT. A mesoscale numerical model of the planetary boundary layer (PBL) was modified for application to mountainous regions along the northwestern coast of the con­ tiguous United States and the southern coast of Alaska.

A regional surface wind model for mountainous coastal areas Author: James E Overland ; Matthew H Hitchman ; Young June Han ; Pacific Marine Environmental Laboratory (U.S.). The Hass and Dempsey () windflow model, which is a modified version of the Danard model, provides the wind field for the orographic precipitation model presented in this paper.

BibTeX @MISC{Overland79aregional, author = {James E. Overland and Matthew H. Hitchman and Young June Han and Juanita M. Kreps and Richard A. Frank and Wilmot N.

Hess}, title = {A Regional Surface Wind Model for Mountainous Coastal Areas}, year = {}}. A regional surface wind model for mountainous coastal areas / By James E. Overland, Matthew H. Hitchman, Young June. Han and Pacific Marine Environmental Laboratory.

In the Southwest region, considerable surface wind data from mountain summits and ridge crests were available for verifying the estimates based on upper-air wind data. Particularly over some of the mountainous areas of the Southwest, applying the free-air winds often results in gross errors, especially during the warm season.

Highlights Focus was given to the forced airflow around mountains & the effect on wind profile. WAsP model correlated measured and predicted wind directions in 4 coastal areas. The difference between simulated and measured values was always less than %.

The clear forefront, distance from the mast and the shore influences the wind by: 9. The present paper applies Synthetic Aperture Radar (SAR) based on Local Gradient-Modified (LG-Mod) algorithm to retrieve wind directions from Sentinel-1 data in the Camargue and the Wadden Sea protected coastal areas.

Wind speeds are estimated through the inversion of the C-band MODel 5.N (CMOD5.N) backscattering by: 1. In the contiguous United States, class 3 or greater wind resource in autumn occurs along the coastal areas of the Northeast (from Cape Hatteras northward), Northwest, Great Lakes, and a portion of the Texas coast; exposed mountain summits and ridge crests throughout the Appalachians and western.

mountains; most of the Great Plains from northern Texas to North Dakota and Montana; and high plains and wind corridor areas. ANALYSIS OF WIND EVENTS IN A COASTAL AREA9 SCI. MAR., 70 (1): SCIENTIA MARINA Analysis of wind events in a coastal area: a tool for assessing turbulence variability for studies on plankton* ÒSCAR GUADAYOL and FRANCESC PETERS Institut de Ciències del Mar, CMIMA (CSIC), P.

Marítim de la BarcelonetaBarcelona, Catalunya. Higher model resolution led to higher reproducibility of surface winds, especially in mountainous areas when the Siberian winter monsoon was disturbed.

In contrast, the model improvement was negligible or nonexistent over plain/coastal areas when the synoptic field was steady.

Historical wind data are limited for many areas and any resulting forecasts often have large uncertainties associated with them [National Research Council, ]. However, this limitation is not a rationale to avoid forecasting wind speeds and storm.

model simulations show that in Scandinavian mountains, enhanced westerly wind flow might induce up to a 70% increase in precipitation, while average warming without changes in wind flows would lead to an increase in precipitation of up to only 20%. Overall, model simulations of climate change in mountain areas are very difficultFile Size: 8MB.

Wind can have several effects on the processes influencing coastal geomorphology. These include wind stress on the water surface in major storms, such as hurricanes or typhoons, inducing short-term above normal sea elevations or storm surge, short “choppy” waves in estuaries and fetch-limited harbors, downwelling and upwelling processes in the coastal oceans, and sea breeze effects.

At mountainous regions, at a given altitude, the air above elevated surface is relatively warmer than the surrounding air, because of the heat absorbed and radiated by ground.

Thus, again, a temperature difference results in a pressure gradient, with relatively low pressure resulting over land.

The land surface being cooler than the water becomes a thermal high pressure area. The ocean becomes a warm thermal low. Wind flow now moves from the land to the open ocean.

This type of localized air flow is called a land breeze. Features of wind field over the sea surface in the coastal area Article (PDF Available) in Izvestiya Atmospheric and Oceanic Physics 53(1) January with 95 Reads How we measure 'reads'. Offshore wind energy harvesting is just starting in the United States, with imminent offshore wind farms in Massachusetts, Maryland, and Rhode Island waters, and with an ambitious goal of 10 GW of installed offshore capacity by set by the U.S.

Department of Energy (DOE), which has recently funded seven “Advanced Technology Demonstration” offshore wind projects to help achieve Cited by: Observational evidence from two mountainous regions that near‐ surface wind speeds are declining more rapidly at higher elevations than lower elevations: – Tim R.

McVicar,1 Thomas G. Van Niel,2 Michael L. Roderick,3 Ling Tao Li,1 Xing Guo Mo,4 Niklaus E. Wind occurs because of horizontal and vertical differences (gradients) in atmospheric ingly, the distribution of winds is closely related to that of the Earth’s surface, winds generally flow around regions of relatively low and high pressure—cyclones and anticyclones, rotate counterclockwise around lows in the Northern Hemisphere and.

Maps show the average (mean) wind speed as well as two components of wind direction: U-wind represents the east-west component of wind and V-wind represents the north-south component. For each month and parameter, the tool shows the climatological mean wind (average over the previous three decades), observed winds, and wind anomaly (how much.Wind is the flow of gases on a large scale.

On the surface of the Earth, wind consists of the bulk movement of outer space, solar wind is the movement of gases or charged particles from the Sun through space, while planetary wind is the outgassing of light chemical elements from a planet's atmosphere into space. Winds are commonly classified by their spatial scale, their speed, the.There are different parameters inherent to coastal areas that can affect the backscattering of the ocean surface detected by Synthetic Aperture Radar (SAR).

The parameters include the influence of land, the influence of the SAR acquisition geometry, and the influence of backscattering features not directly related to wind variations.

This work focuses on the study of the influence of those Author: Gisela K. Carvajal, Leif E. B. Eriksson.