scholarly journals Identifikasi Angin Silang (Cross Wind) di Sekitar New Yogyakarta International Airport Memakai Plot Wind Rose

Author(s):  
Fatkhuroyan Fatkhuroyan ◽  
Bambang Wijayanto

<p class="AbstractEnglish"><strong>Abstract:</strong> Wind has important role in aviation safety. The aim of the research is to analyze monthly wind profile and crosswind potential in the area of New Yogyakarta International Airport. The method used by installing 4 (four) AWS (Automatic Weather Station) at the end and the middle of the runway during March to September 2017. The results show that the wind patterns in the March-May period have varying directions with an average speed of 5-8 knots. In June - September, the wind pattern blows from the East - Southeast direction with an average speed of 6-9 knots. The maximum wind speed occurred between 14-20 knots and no crosswind potential was found for the runway length of 3,600 meters.</p><p class="AbstrakIndonesia"><strong>Abstrak:</strong> Angin merupakan unsur cuaca yang sangat penting dalam keselamatan penerbangan. Penelitian ini bertujuan melakukan analisa profil angin bulanan dan potensi terjadinya Crosswind pada area New Yogyakarta International Airport. Metode yang dipakai dengan memasang 4 (empat)buah AWS (Automatic Weather Station) di ujung dan tengah landasan selama bulan Maret hingga September 2017. Hasil pengamatan dan analisa menunjukan bahwa pola angin pada periode Maret – Mei memiliki arah yang bervariasi dengan kecepatan rata-rata 5 – 8 knot. Pada Juni – September, pola angin berhembus dari arah Timur – Tenggara dengan kecepatan rata-rata 6 – 9 knot. Selama periode pengamatan, kecepatan angin maksimum yang terjadi antara 14 – 20 knot dan tidak ditemukan potensi terjadinya cross wind untuk panjang landasan 3.600 meter.</p>

2021 ◽  
Vol 768 (1) ◽  
pp. 012008
Author(s):  
Zhen Yang ◽  
Husheng Zhang ◽  
Qiang Wang ◽  
Cuicui Li ◽  
Wenlong Xu ◽  
...  

2020 ◽  
Vol 59 (12) ◽  
pp. 2113-2127
Author(s):  
Lea Hartl ◽  
Martin Stuefer ◽  
Tohru Saito ◽  
Yoshitomi Okura

AbstractWe present the data records and station history of an automatic weather station (AWS) on Denali Pass (5715 m MSL), Alaska. The station was installed by a team of climbers from the Japanese Alpine Club after a fatal accident involving Japanese climbers in 1989 and was operational intermittently between 1990 and 2007, measuring primarily air temperature and wind speed. In later years, the AWS was operated by the International Arctic Research Center of the University of Alaska Fairbanks. Station history is reconstructed from available documentation as archived by the expedition teams. To extract and preserve data records, the original datalogger files were processed. We highlight numerous challenges and sources of uncertainty resulting from the location of the station and the circumstances of its operation. The data records exemplify the harsh meteorological conditions at the site: air temperatures down to approximately −60°C were recorded, and wind speeds reached values in excess of 60 m s−1. Measured temperatures correlate strongly with reanalysis data at the 500-hPa level. An approximation of critical wind speed thresholds and a reanalysis-based reconstruction of the meteorological conditions during the 1989 accident confirm that the climbers faced extremely hazardous wind speeds and very low temperatures. The data from the Denali Pass AWS represent a unique historical record that can, we hope, serve as a basis for further monitoring efforts in the summit region of Denali.


2020 ◽  
Vol 61 (12) ◽  
pp. 162-165
Author(s):  
Ulker Faig Bayramova ◽  

The article reviews wind conditions at Ganja International Airport and specifies the maximum winds observed during the month and the direction of the winds. The direction of the mean, maximum wind speed of the prevailing wind was analyzed. Based on our analysis, we can see that the prevailing wind direction isnortheast and the maximum speed was recorded in March. Key words: wind, temperature, aviation, wind rose, visibility


2013 ◽  
Vol 30 (4) ◽  
pp. 709-724 ◽  
Author(s):  
Matthew Hobby ◽  
Matthew Gascoyne ◽  
John H. Marsham ◽  
Mark Bart ◽  
Christopher Allen ◽  
...  

Abstract The Fennec automatic weather station (AWS) network consists of eight stations installed across the Sahara, with four in remote locations in the central desert, where no previous meteorological observations have existed. The AWS measures temperature, humidity, pressure, wind speed, wind direction, shortwave and longwave radiation (upwelling and downwelling), ground heat flux, and ground temperature. Data are recorded every 3 min 20 s, that is, at 3 times the temporal resolution of the World Meteorological Organization’s standard 10-min reporting for winds and wind gusts. Variations in wind speeds on shorter time scales are recorded through the use of second- and third-order moments of 1-Hz data. Using the Iridium Router-Based Unrestricted Digital Internetworking Connectivity Solutions (RUDICS) service, data are transmitted in near–real time (1-h lag) to the United Kingdom, where calibrations are applied and data are uploaded to the Global Telecommunications System (GTS), for assimilation into forecast models. This paper describes the instrumentation used and the data available from the network. Particular focus is given to the engineering applied to the task of making measurements in this remote region and challenging climate. The communications protocol developed to operate over the Iridium RUDICS satellite service is described. Transmitting the second moment of the wind speed distribution is shown to improve estimates of the dust-generating potential of observed winds, especially for winds close to the threshold speed for dust emission of the wind speed distribution. Sources of error are discussed and some preliminary results are presented, demonstrating the system’s potential to record key features of this region.


Irriga ◽  
2006 ◽  
Vol 11 (2) ◽  
pp. 139-149 ◽  
Author(s):  
André Luiz Teixeira Fernandes ◽  
Marcos Vinícius Folegatti ◽  
Antonio Roberto Pereira

AVALIAÇÃO DE DIFERENTES MÉTODOS DE ESTIMATIVA DA EVAPOTRANSPIRAÇÃO DA CULTURA DO CRISÂNTEMO (Chrisantemum spp.) CULTIVADO EM ESTUFA PLÁSTICA  André Luiz Teixeira Fernandes1; Marcos Vinícius Folegatti2; Antonio Roberto Pereira21Pró Reitoria de Pesquisa e Pós Graduação, Universidade de Uberaba, Uberaba, MG, andré[email protected] de Engenharia Rural, Escola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo, Piracicaba, SP  1 RESUMO  Com o objetivo de estudar métodos de controle de irrigação numa cultura de crisântemo, instalou-se uma estação agrometeorológica automática, numa estufa de 5600 m2, com  sensores de temperatura do ar, velocidade do vento, umidade relativa do ar, radiação solar global e lisímetro de pesagem com célula de carga, conectados a um coletor de dados. A partir dos dados meteorológicos obtidos, estimou-se a evapotranspiração da cultura utilizando-se os seguintes métodos: Tanque evaporimétrico, Camargo, Makkink, Radiação solar, Jensen-Haise, Linacre, Hargreaves-Samani, Penman, Penman-piche e Penman-Monteith. Os resultados foram comparados com as medições do lisímetro, considerado padrão. Os métodos que obtiveram maiores índices de correlação foram: Jensen-Haise (72,50%); Radiação Solar (71,53%); Makkink (71,53%), Penman-Monteith (71,16%) e Penman (72,09%).UNITERMOS: evapotranspiração, comparação entre métodos, cultura do crisântemo, cultivo protegido.  FERNANDES, A. L. T.; FOLEGATTI, M. V.; PEREIRA, A. R. VALUATION OF DIFFERENT EVAPOTRANSPIRATION ESTIMATE METHODS FOR (Chrysanthemum spp) CULTIVATED IN PLASTIC GREENHOUSE  2 ABSTRACT In order to study some methods to control irrigation of a chrysanthemum crop, an automatic weather station was installed inside a 5600 m2 greenhouse with the following sensors connected to a data logger: air temperature, relative humidity, wind speed, solar radiation and a weighing lysimeter. Evapotranspiration (ET) was estimated by the weather station data using the following methods: Solar Radiation, Pan Evaporation, Camargo, Makkink, Jensen-Haise, Linacre, Hargreaves-Samani, Penman, Penman-piche and Penman-Monteith. The results were compared with the ones from the weighing lysimeter data, which were considered standard. The best correlation indices were obtained by: Jensen-Haise (72.50%); solar radiation (71.53%); Makkink (71.53%), Penman-Monteith (71.16%) and Penman (72.09%). KEYWORDS: evapotranspiration, comparison of methods, chrysanthemum crop, protecting culture 


2010 ◽  
Vol 25 (3) ◽  
pp. 359-364 ◽  
Author(s):  
Rivanildo Dallacort ◽  
Patrícia Simone Palhana Moreira ◽  
Miriam Hiroko Inoue ◽  
Dionei José Silva ◽  
Ilio Fealho Carvalho ◽  
...  

The aim of this work was to determine the predominant winds speeds and directions in the Tangará da Serra region, locate in Southwest of Mato Grosso State, Brazil. So that, it was used meteorological time series from 2003 to 2008, collected through an Universal Anemometer, installed 10 meters above the ground surface in the Automatic Weather Station by the INMET - Meteorology National Institute at the Mato Grosso State University - UNEMAT (14º39' S, 57º25' W and 321,5 m). The predominant winds directions were characterized by the frequency analysis of daily observations from each month of the year. The months that showed higher speeds were: May, June, July, August and September. March showed the lower average and the lower maximum speeds. In all months, the diurnal winds were higher than the nocturnal ones, the strongest winds had occurred during the warmer hours of the day, i.e. from 13:00 to 17:00 h (local time). The monthly maximum gusts had varied from 15.1 m s-1 in June to 30.7 m s-1 in August. In most months of the year there is a predominance of winds from the Northeast (NE), except August and September period, when the winds predominant directions is from the South (S).


Author(s):  
Edward Hanna ◽  
John Penman ◽  
Trausti Jónsson ◽  
Grant R. Bigg ◽  
Halldór Björnsson ◽  
...  

Here, we analyse high-frequency (1 min) surface air temperature, mean sea-level pressure (MSLP), wind speed and direction and cloud-cover data acquired during the solar eclipse of 20 March 2015 from 76 UK Met Office weather stations, and compare the results with those from 30 weather stations in the Faroe Islands and 148 stations in Iceland. There was a statistically significant mean UK temperature drop of 0.83±0.63°C, which occurred over 39 min on average, and the minimum temperature lagged the peak of the eclipse by about 10 min. For a subset of 14 (16) relatively clear (cloudy) stations, the mean temperature drop was 0.91±0.78 (0.31±0.40)°C but the mean temperature drops for relatively calm and windy stations were almost identical. Mean wind speed dropped significantly by 9% on average during the first half of the eclipse. There was no discernible effect of the eclipse on the wind-direction or MSLP time series, and therefore we can discount any localized eclipse cyclone effect over Britain during this event. Similar changes in air temperature and wind speed are observed for Iceland, where conditions were generally clearer, but here too there was no evidence of an eclipse cyclone; in the Faroes, there was a much more muted meteorological signature. This article is part of the themed issue ‘Atmospheric effects of solar eclipses stimulated by the 2015 UK eclipse’.


2019 ◽  
Vol 98 (4) ◽  
pp. 424-427 ◽  
Author(s):  
R. S. Rakhmanov ◽  
D. A. Gadzhiibragimov ◽  
G. G. Bakhmydov ◽  
M. Kh. Alikberov ◽  
A. V. Tarasov

Introduction. The evaluation of the impact influence of weather and climatic conditions on humans in cold (winter) period was done since there was not the method of evaluation of working conditions according to the degree of harmfulness and danger. Also, the sanitary norms and rules 2.2.4.3359-16 does not contain the method of risk evaluation of the influence of factors upon the human organism. Мaterial and Methods. The authors evaluated the influence of various combinations of ambient temperature and wind speed upon under conditions of IV climatic region in I zone (the Republic of Dagestan - at an altitude of 4 m., 1040 m. and 1661 m above sea level and the Kaliningrad region) according to wind cooling. It was found a possible discomfort sensation at an average speed of winds and temperatures (wind cooling index (WCI) more 763,7 Kcal/m2) as well as overcooling risk in combinations of average temperature and maximum wind speed, an average speed of the wind and the minimum temperature. Maximum wind speeds in combination with minimal temperatures exceeded WCI threshold by 1,25-2,1 times. It should be noted that the studies were conducted under conditions of an increased humidity which had a negative influence upon the human organism, but in combination with the high wind speed and low temperatures, the effect might be more considerable. results. In accordance with the method, in attachment 17 in manual Р 2.2.2006-05, working conditions were classified as harmful. By calculation on indices of the minimal temperature and maximum wind speed, indices of equivalent temperatures reached up to considerable values. Probably, the use of the method does not prove its value. conclusion. The fixing of complex influence (in the cold period) of air velocity, ambient temperature, air humidity and detecting of health risk due to weather and climatic conditions remain a topical theoretical and practical problem.


Atmosphere ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 193 ◽  
Author(s):  
Talea Mayo ◽  
Ning Lin

The Sea, Lake, and Overland Surges from Hurricanes (SLOSH) model is the operational storm surge model of the National Hurricane Center (NHC). Previous studies have found that the SLOSH model estimates storm surges with an accuracy of ±20%. In this study, through hindcasts of historical storms, we assess the accuracy of the SLOSH model for four coastal regions in the Northeastern United States. We investigate the potential to improve this accuracy through modification of the wind field representation. We modify the surface background wind field, the parametric wind profile, and the maximum wind speed based on empirical, physical, and observational data. We find that on average the SLOSH model underestimates maximum storm surge heights by 22%. The modifications to the surface background wind field and the parametric wind profile have minor impacts; however, the effect of the modification to maximum wind speed is significant—it increases the variance in the SLOSH model estimates of maximum storm surges, but improves its accuracy overall. We recommend that observed values of maximum wind speed be used in SLOSH model simulations when possible.


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