Evolutionary Nonlinear Regression Based Compensation Technique for Short-range Prediction of Wind Speed using Automatic Weather Station

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.

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

Prosiding SNFA (Seminar Nasional Fisika dan Aplikasinya) ◽

10.20961/prosidingsnfa.v5i0.46595 ◽

2020 ◽

Vol 5 ◽

Author(s):

Fatkhuroyan Fatkhuroyan ◽

Bambang Wijayanto

Keyword(s):

Wind Speed ◽

Wind Profile ◽

Aviation Safety ◽

Weather Station ◽

Automatic Weather Station ◽

Wind Rose ◽

Wind Pattern ◽

Average Speed ◽

Maximum Wind ◽

International Airport

Abstract: 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.Abstrak: 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.

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The Fennec Automatic Weather Station (AWS) Network: Monitoring the Saharan Climate System

Journal of Atmospheric and Oceanic Technology ◽

10.1175/jtech-d-12-00037.1 ◽

2013 ◽

Vol 30 (4) ◽

pp. 709-724 ◽

Cited By ~ 28

Author(s):

Matthew Hobby ◽

Matthew Gascoyne ◽

John H. Marsham ◽

Mark Bart ◽

Christopher Allen ◽

...

Keyword(s):

Wind Speed ◽

Dust Emission ◽

Longwave Radiation ◽

Weather Station ◽

Automatic Weather Station ◽

Wind Speeds ◽

Speed Distribution ◽

Ground Heat Flux ◽

Wind Speed Distribution ◽

Communications Protocol

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.

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AVALIAÇÃO DE DIFERENTES MÉTODOS DE ESTIMATIVA DA EVAPOTRANSPIRAÇÃO DA CULTURA DO CRISÂNTEMO (Chrisantemum spp.) CULTIVADO EM ESTUFA PLÁSTICA

Irriga ◽

10.15809/irriga.2006v11n2p139-149 ◽

2006 ◽

Vol 11 (2) ◽

pp. 139-149 ◽

Cited By ~ 1

Author(s):

André Luiz Teixeira Fernandes ◽

Marcos Vinícius Folegatti ◽

Antonio Roberto Pereira

Keyword(s):

Wind Speed ◽

Relative Humidity ◽

Solar Radiation ◽

Comparison Of Methods ◽

Weather Station ◽

Automatic Weather Station ◽

Pan Evaporation ◽

Data Logger ◽

Control Irrigation ◽

Weighing Lysimeter

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

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Wind speed and direction characterization in Tangará da Serra, Mato Grosso state, Brazil

Revista Brasileira de Meteorologia ◽

10.1590/s0102-77862010000300007 ◽

2010 ◽

Vol 25 (3) ◽

pp. 359-364 ◽

Cited By ~ 2

Author(s):

Rivanildo Dallacort ◽

Patrícia Simone Palhana Moreira ◽

Miriam Hiroko Inoue ◽

Dionei José Silva ◽

Ilio Fealho Carvalho ◽

...

Keyword(s):

Time Series ◽

Wind Speed ◽

Ground Surface ◽

Weather Station ◽

Automatic Weather Station ◽

State University ◽

Mato Grosso ◽

June July August ◽

Lower Maximum ◽

June July

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).

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Meteorological effects of the solar eclipse of 20 March 2015: analysis of UK Met Office automatic weather station data and comparison with automatic weather station data from the Faroes and Iceland

Philosophical Transactions of The Royal Society A Mathematical Physical and Engineering Sciences ◽

10.1098/rsta.2015.0212 ◽

2016 ◽

Vol 374 (2077) ◽

pp. 20150212 ◽

Cited By ~ 7

Author(s):

Edward Hanna ◽

John Penman ◽

Trausti Jónsson ◽

Grant R. Bigg ◽

Halldór Björnsson ◽

...

Keyword(s):

Wind Speed ◽

Air Temperature ◽

Solar Eclipse ◽

Temperature Drop ◽

Weather Station ◽

Automatic Weather Station ◽

Station Data ◽

Weather Station Data ◽

The Mean ◽

Weather Stations

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’.

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