Journal articles: 'Automatic Weather Station'

1

Bowles, G. A. J. "Corsock Automatic Weather Station." Weather 58, no. 8 (August 1, 2003): 291–94. http://dx.doi.org/10.1256/wea.257.02.

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Vincent, Vincent, Enndi Chiu, Kim Sung Tae, Ikhsan Bukhori, and Surawan Setiyadi. "Automatic Wireless Mobile Weather Station." Journal of Electrical And Electronics Engineering 2, no. 2 (June 13, 2020): 54. http://dx.doi.org/10.33021/jeee.v2i2.1086.

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In the electronic devices, there are so many functions that we can use to make life easier. In the city especially, nearly all of them use technology as the system, it can also be used to store data, measuring data to help the others quantitative and qualitatively. One of the things that is very useful is the weather station, where the weather station used in the city to maintain the humidity, the intensity of the light, and the temperature. But in the rural areas, somehow the weather station is not available because of the limitation of the technology itself. And also, sometimes the place that we want to measure with is quite dangerous because there are so many predators. Because of that, we’ve come up to the new brand technology called Automatic Wireless Mobile Weather Station. This device helps us to measure the rural areas, dangerous places, using robot with wireless connection with weather station features. This device can be implemented into a moving robot and can also send us the data to the mobile phones through Bluetooth technology, and also it can measure the humidity, temperature, and the intensity of the light (unit of lux). Finally, the data can be controlled 24 hours through wireless connection, so we don’t really need to go into the location because we can control it using this Automatic Wireless Mobile Weather Station.

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Wolfson, Marilyn M. "The FLOWS Automatic Weather Station Network." Journal of Atmospheric and Oceanic Technology 6, no. 2 (April 1989): 307–26. http://dx.doi.org/10.1175/1520-0426(1989)006<0307:tfawsn>2.0.co;2.

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Strangeways, I. C. "A cold regions automatic weather station." Journal of Hydrology 79, no. 3-4 (July 1985): 323–32. http://dx.doi.org/10.1016/0022-1694(85)90063-0.

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Phizacklea, J., and S. J. Harrison. "AUTOMATIC WEATHER STATION INSTRUMENTATION: A SYSTEM APPRAISAL." Weather 42, no. 7 (July 1987): 218–21. http://dx.doi.org/10.1002/j.1477-8696.1987.tb04892.x.

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Budianto, Anwar, Yoiko Rashaki, and Ginaldi Ari Nugroho. "Mini Automatic Weather Station Development for Android Based Weather Parameters Monitoring." Advanced Science Letters 24, no. 12 (December 1, 2018): 9509–15. http://dx.doi.org/10.1166/asl.2018.13062.

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Schöber, B., and H. Schiff. "PHYTPROG II PRACTICAL APPLICATION AND AUTOMATIC WEATHER STATION." Acta Horticulturae, no. 214 (February 1988): 179–82. http://dx.doi.org/10.17660/actahortic.1988.214.14.

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Zhou, Xin, Hongyan Xing, and Xinyuan Ji. "Multifunctional automatic weather station control and management system." JOURNAL OF ELECTRONIC MEASUREMENT AND INSTRUMENT 25, no. 4 (May 4, 2011): 348–54. http://dx.doi.org/10.3724/sp.j.1187.2011.00348.

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Nsabagwa, Mary, Maximus Byamukama, Emmanuel Kondela, and Julianne Sansa Otim. "Towards a robust and affordable Automatic Weather Station." Development Engineering 4 (2019): 100040. http://dx.doi.org/10.1016/j.deveng.2018.100040.

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Szegedi, S., I. Lázár, and T. Tóth. "Relationships between macrosynoptic weather types and development of the thermal excess in suburban areas in Debrecen, Hungary." International Review of Applied Sciences and Engineering 5, no. 2 (December 1, 2014): 167–72. http://dx.doi.org/10.1556/irase.5.2014.2.9.

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Impacts of macrosynoptic weather patterns on the development of the thermal excess in suburban areas of Debrecen are examined in this paper. Temperature datasets have been recorded at two heights by three automatic weather stations mounted in Debrecen (east Hungary) and a small settlement in its vicinity. An additional automatic weather station is used as a reference station outside Debrecen. Urban heat island (UHI) intensities have been calculated from the raw datasets. Impacts of synoptic conditions have been analyzed on the base of Péczely’s macrosynoptic types. It has been found that anticyclone types are more favorable from the aspect of UHI development, while cyclone types, especially the passage of warm fronts can effectively hinder the formation of strong heat islands in Debrecen.

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Hallali, Ruben, Francis Dalaudier, and Jacques Parent du Chatelet. "Comparison Between Radar and Automatic Weather Station Refractivity Variability." Boundary-Layer Meteorology 160, no. 2 (March 31, 2016): 299–317. http://dx.doi.org/10.1007/s10546-016-0145-x.

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Korolkov, V. A., A. A. Kobzev, A. A. Tikhomirov, A. E. Telminov, K. N. Pustovalov, A. Ya Bogushevich, V. V. Kalchikhin, and S. A. Kurakov. "Automatic weather station Arctic Meteo: first field test results." IOP Conference Series: Earth and Environmental Science 611 (December 22, 2020): 012053. http://dx.doi.org/10.1088/1755-1315/611/1/012053.

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D. L. Elwell, J. C. Klink, J. R. Holman, and M. J. Sciarini. "Ongoing Experience with Ohios Automatic Weather Station Network." Applied Engineering in Agriculture 9, no. 5 (1993): 437–41. http://dx.doi.org/10.13031/2013.26006.

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Sun, Longyu, and Jinwen Wu. "Application of 4G IOT Card in Automatic Weather Station." Journal of Physics: Conference Series 1601 (July 2020): 032049. http://dx.doi.org/10.1088/1742-6596/1601/3/032049.

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Rodimtsev, Sergey Aleksandrovich, Leonid Petrovich Eremin, and Tatyana Ivanovna Gulyaeva. "USE OF AN AUTOMATIC WEATHER STATION WITHOUT GSM CONNECTION." Аграрный вестник Верхневолжья, no. 1 (2021): 71–82. http://dx.doi.org/10.35523/2307-5872-2021-34-1-71-82.

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Wang, Hao, Meng Nie, and Qing An Huang. "Design of Intelligent Meteorological System Based on MEMS." Key Engineering Materials 609-610 (April 2014): 801–6. http://dx.doi.org/10.4028/www.scientific.net/kem.609-610.801.

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Intelligent weather station system based on MEMS sensors is designed. The automatic meteorological system includes a MEMS temperature sensor, MEMS humidity sensor, MEMS pressure sensor, MEMS wind speed sensor and the sensor intelligent control system, etc. The intelligent control system has functions such as precise timing, multiple sensor data automatic acquisition, storage and uploading, which realizes the intelligent control of this weather station system.

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Takahashi, S., T. Kameda, H. Enomoto, T. Shiraiwa, Y. Kodama, S. Fujita, H. Motoyama, O. Watanabe, G. A. Weidner, and C. R. Stearns. "Automatic weather station program during Dome Fuji Project by JARE in east Dronning Maud Land, Antarctica." Annals of Glaciology 27 (1998): 528–34. http://dx.doi.org/10.3189/1998aog27-1-528-534.

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The Japanese Antarctic Research Expedition (JARE) has set up automatic weather stations at six sites on a 1000 km long traverse route between Syowa station (21 ma.s.l..) and Dome Fuji station (3810 ma.s.l.) since 1993. Large temperature rises in winter were observed several times in this area. There were two patterns of time delay of the temperature rises. One was that the temperature rise at Mizuho station preceded that at other stations, and the other was that the temperature rise at Dome Fuji station preceded the others. The former occurred when a disturbance came from the coast between east Enderby Land and the Amery Ice Shelf and strong winds destroyed the stable inversion layer. The latter occurred when the low-pressure center was near the coast of west Wilkes Land. in this case, temperature rise was caused by adveclion of warm air. The atmospheric pressure at Dome Fuji station and Relay Point oscillated with a period of 0.5 year and amplitude of about 15hPa. The pressure was higher in July and December, and was accompanied by a temperature rise. Fluctuations of hourly air temperature at Dome Fuji station were approximately twice as large as fluctuations at the other sites. The lapse rale of the annual mean temperature increased with elevation, while the monthly lapse rate was largest in April.

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Yang, Rui, WenJie Fan, and Jingrong Sun. "Application in the Training of Automatic Weather Station Based on Web3D Technology." International Journal of Emerging Technologies in Learning (iJET) 10, no. 4 (September 22, 2015): 34. http://dx.doi.org/10.3991/ijet.v10i4.4630.

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Automatic weather station, one of the most significant observation instruments in China, has several particular characteristics, including precise parts, complex structure and various failures. Traditional training mode always relies on physical instruments which need large amounts of investment with long update cycle. During process of training, it is subject to making damage to instruments and trainees, which leads to ineffective even terminated training. Therefore, one new training mode is badly in need. Based on Web3D technology, this paper proposes one feasible virtual training application which takes into account particular characteristics of training for automatic weather station. It also describes an overall training plan, technology architecture, major module design and detailed implementation. This application has filled the blank of virtual Web3D training for automatic weather station, and opened up one new training approach. Also, the application scope of Web3D technology has been extended, especially into virtual training of specialized instruments.

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Gabała, Jarosław. "State Higher Vocational School Weather Station in Tarnów." Science, Technology and Innovation 1, no. 1 (December 27, 2017): 74–83. http://dx.doi.org/10.5604/01.3001.0010.7618.

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In 2015 the State Higher Vocational School in Tarnów (PWSZ), under the Norwegian Project implemented in the Department of Environmental Protection, purchased and set in motion semi-professional automatic weather station DAVIS Vantage Pro2. The station measures basic meteorological elements e.g. air temperature, wind speed and direction or solar radiation. The logged data are intended for teaching at the School, including the specialization of environmental protection. Comparison of the data acquired at the PWSZ station and at the synoptic station of Institute of Meteorology and Water Management (IMGW) allowed the evaluation of the correlation of the measurement series of both stations. Furthermore it allowed for the initial analysis of the urban heat island (MWC) as one of the aspects of the local climate. There are confirmed typical thermal marks of the urban heat island during favourable weather conditions with radiation cooling at night. Especially during cloudless and windless radiation night, the air cools down more at the rural areas, and this favours the occurrence of the urban heat island phenomenon. The urban – rural thermal contrasts are then the greatest, up to 3 °C. In the daytime difference between the centre and the outskirts of the city is quite small (under 1 °C), so generally the urban heat island doesn’t occur during the day.

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20

Huang, Fei Long, Yan Li He, and Wei Yan Lei. "A New Design of Distributed and Smart Automatic Weather Station." Applied Mechanics and Materials 241-244 (December 2012): 566–70. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.566.

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Aiming at development and requirement of environmental monitoring, automatic weather station (AWS) must be more powerful and reliable. With distributed data acquisition nodes, new AWS extends and adds new sensors easily. Using protective power supply to each node, new system has high performance of lightning protection, which will not let system breakdown for any node crash. Three-stage automatic self-checking for node state is included, which makes failure diagnosis efficient. Data quality checking node is created in the new design. By databases and correlation models, it provides data self-checking functions for unattended AWS. Defects of old design such as fixed hardware configuration and centralized data acquisition are overcome. Flexibility and stability of AWS are improved, and data reliability of unattended AWS is improved.

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Jensen, Jens Fog, and Tilo Krause. "Wehrmacht occupations in the new world: archaeological and historical investigations in Northeast Greenland." Polar Record 48, no. 3 (May 6, 2011): 269–79. http://dx.doi.org/10.1017/s0032247411000180.

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ABSTRACTAs the axis powers were denied access to data from international weather stations under allied control, soon after the outbreak of World War II Germany had to establish her own network of manned and automatic weather stations throughout the north Atlantic. These operations were primarily run by the Kriegsmarine and the Luftwaffe. In Greenland, several manned weather stations were established by the former. The two most successful of those were Holzauge and Bassgeiger in Northeast Greenland, each in operation for almost an entire year in 1942–1943 and 1943–1944 respectively. The allied forces, in return, had established the North-East Greenland Sledge Patrol in 1941, in order to defend the Northeast Greenland coast against German activities. In 2007 and 2008, archaeologists and historians from the National Museum of Denmark investigated the remains of the allied station at Eskimonæs on Clavering Ø (Clavering Island) and the German station Holzauge at Hansa Bugt on Sabine Ø (Sabine Island).

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Abbate, Stefano, Marco Avvenuti, Luca Carturan, and Daniel Cesarini. "Deploying a Communicating Automatic Weather Station on an Alpine Glacier." Procedia Computer Science 19 (2013): 1190–95. http://dx.doi.org/10.1016/j.procs.2013.06.170.

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23

Johnson, R. C., and T. K. M. Simpson. "THE AUTOMATIC WEATHER STATION NETWORK IN THE BALQUHIDDER CATCHMENTS, SCOTLAND." Weather 46, no. 2 (February 1991): 47–51. http://dx.doi.org/10.1002/j.1477-8696.1991.tb05692.x.

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Lazzara, Matthew A., George A. Weidner, Linda M. Keller, Jonathan E. Thom, and John J. Cassano. "Antarctic Automatic Weather Station Program: 30 Years of Polar Observation." Bulletin of the American Meteorological Society 93, no. 10 (October 1, 2012): 1519–37. http://dx.doi.org/10.1175/bams-d-11-00015.1.

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Antarctica boasts one of the world's harshest environments. Since the earliest expeditions, a major challenge has been to characterize the surface meteorology around the continent. In 1980, the University of Wisconsin—Madison (UW-Madison) took over the U.S. Antarctic Program (USAP) Automatic Weather Station (AWS) program. Since then, the UW-Madison AWS network has aided in the understanding of unique Antarctic weather and climate. This paper summarizes the development of the UW-Madison AWS network, issues related to instrumentation and data quality, and some of the ways these observations have and continue to benefit scientific investigations and operational meteorology.

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Hoover, J., and L. Yao. "Aspirated and non-aspirated automatic weather station Stevenson screen intercomparison." International Journal of Climatology 38, no. 6 (March 9, 2018): 2686–700. http://dx.doi.org/10.1002/joc.5453.

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Yang, Zhen, Husheng Zhang, Qiang Wang, Cuicui Li, Wenlong Xu, and Shengyuan Chen. "Uncertainty Evaluation of Wind Speed Sensor in Automatic Weather Station." IOP Conference Series: Earth and Environmental Science 768, no. 1 (May 1, 2021): 012008. http://dx.doi.org/10.1088/1755-1315/768/1/012008.

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Phunthirawuthi, Parwapath, Chanattha Saengrattanayon, and Sukrit Kirtsaeng. "Heat Illness Related Meteorology over Chiangmai Using Automatic Weather Station Observed Data." Applied Mechanics and Materials 891 (May 2019): 142–48. http://dx.doi.org/10.4028/www.scientific.net/amm.891.142.

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This research is a part of study of heat illness vulnerability. Understanding heat characteristic, especially in tropical area, would decrease loss from heat deceases and also support tourism in tropical countries. The aim of this research is to apply the meteorological sensor dataset in Chiangmai (a famous city in northern Thailand), which is under the control of Thai Meteorological Department, from 2015-2017 to investigate heat index characteristic. Two elements, temperature and relative humidity, were used to calculate heat index following Steadman’s equation. Analyzed heat index would be arranged by its intensity and then applied on heat illness warning. The study demonstrated that heat index warning from Automatic Weather Station data analysis could get along with the maximum temperature historical statistics data which observed by weather stations. Local people and visitors in Chiangmai mostly suffer from heat in between March and June. The greatest vulnerability to heat illness in Chiangmai was in April and May. This extreme-heat period is consistent with the report from Department of Decease Control Thailand, an amount of heat illness patients is very high in April and May. Moreover, the results show that even if the air temperature is getting low in after summer season but heat index is still high through the year. So, people still need to be aware of heat deceases and always concern about environmental heat when doing outdoor activities. In the future, AWS data from every station over Thailand would be used to develop a real-time Heat Illness Alert System.

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Niu, Zhi Qiang, Bao Qiang Wang, and Xiao Qiong Zhen. "Design and Realization of Automatic Weather Station Based on Embedded Linux Operating System." Applied Mechanics and Materials 20-23 (January 2010): 129–34. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.129.

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In this paper, the design ideas including the software and the hardware such as key electric circuits of the automatic weather station based on embedded Linux operating system are introduced. The high resolution ADC (analog-to-digital convertor) is used to achieving data characters. The system based on the bus structure makes the system can be connected with various weather sensors. Any substitution of the weather sensors neither need to change the software nor the hardware of main collector. Not only the program source codes are given, but also some essential problems which should be paid attention are suggested. Practical application shows that this system has advantages such as high precision，high stability, low power consumption. Experimental results proof that the system is accordance with the design criteria of the second-generation automatic weather station in China.

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Gan, Xiang Gen, Lihong Chen, and Sheng Wei. "Simulation Analysis of Suppressing Lightning Overvoltage in Automatic Weather Station Collector by Ferrite." Advanced Materials Research 610-613 (December 2012): 341–46. http://dx.doi.org/10.4028/www.scientific.net/amr.610-613.341.

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With the advancement of meteorology modernization, automatic weather station had become an important means of atmospheric sounding. Collecting data and information security were basic requirements for meteorological monitoring and forecasting. When lightning struck large scale and very large scale integrated circuits, the automatic station can be damaged or its data collector can be interrupted. Two-level SPD lightning protection system and three-level ferrite lightning protection system can compensate for the lack of lightning protection board and power protector. MATLAB simulation analysis shows that the three level lightning protection circuits with ferrite are better than the two level SPD circuits in guaranteeing the automatic station operation. Putting the ferrite rings around the power lines or communication lines, along with the common lightning protection devices, can make the load terminal voltage limit to 500V. The lightning current is significantly reduced by using the simple method in the collector.

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Aminah, Siti, Asep Deni Mulyadi, and Yuliadi Erdani. "The Wireless Acquisition Data System Simulator Design on Automatic Weather Monitoring Station." MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering 1, no. 3 (September 1, 2019): 51–62. http://dx.doi.org/10.46574/motivection.v1i3.33.

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The Wireless Acquisition Data System Simulator Design on Automatic Weather Monitoring Station is means of collecting, monitoring, and controlling some long distance subsystems. Automatic weather monitoring station is device for receiving data by a censor in use to gauge some weather parameters. In this Research we develop an automatic weather monitoring station design simulator by creating a subsystem in the form of prototype, using Digital Pin and Analog Pin from the microcontroller. Sensor characteristics are considered to measure several weather parameters. The principles of a system function are it will have to collect data from some subsystems to accommodate in a database, able to control and deliver instructions to the subsystem. The communication system makes the use of radio frequency by means of Frequency Shift Keying (FSK) method through Handy Talky (HT), picked out because advantages of lower power consumptions and long range of transmission. Additional advantages are, although catastrophes, data communication using HT allows to keep fast transmission. The transmission of data using HT media require a signal converter by which HT is operated by analogue signal (sound), while censor and microcontroller by digital signal and, therefore, Modulation and Demodulation techniques are necessary. The Modulation functions to convert digital signal into analogue, and just the opposite to the Demodulation, the Modulation and Demodulation processes is using IC TCM3105. The results of the trial suggest that system design has proper functions, the communication process in this system is two-ways communication, the process was fast working in either transmitter mode or receiver mode.

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Molina-Martinez, J. M., P. J. Navarro, M. Jimenez, F. Soto, A. Ruiz-Canales, and D. G. Fernandez-Pacheco. "VIPMET: New Real-Time Data Filtering–Based Automatic Agricultural Weather Station." Journal of Irrigation and Drainage Engineering 138, no. 9 (September 2012): 823–29. http://dx.doi.org/10.1061/(asce)ir.1943-4774.0000468.

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Moore, G. W. K., Paolo Cristofanelli, Paolo Bonasoni, Gian Pietro Verza, and J. L. Semple. "Automatic Weather Station Observations of the April 2014 Mount Everest Avalanche." Arctic, Antarctic, and Alpine Research 49, no. 2 (May 2017): 321–30. http://dx.doi.org/10.1657/aaar0016-059.

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Hobby, Matthew, Matthew Gascoyne, John H. Marsham, Mark Bart, Christopher Allen, Sebastian Engelstaedter, Dieh Mohamed Fadel, et al. "The Fennec Automatic Weather Station (AWS) Network: Monitoring the Saharan Climate System." Journal of Atmospheric and Oceanic Technology 30, no. 4 (April 1, 2013): 709–24. http://dx.doi.org/10.1175/jtech-d-12-00037.1.

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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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Fox-Hughes, Paul. "Observations of a tornado at an Automatic Weather Station in northern Tasmania." Journal of Southern Hemisphere Earth System Science 68, no. 1 (December 31, 2018): 215–30. http://dx.doi.org/10.22499/3.6801.012.

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Kondela, Emmanuel A., Amos Nungu, Joseph W. Matiko, Julianne S. Otim, and Bjorn Pehrson. "Benchmarking the Robustness of Cellular Up-Links in Automatic Weather Station Networks." Communications and Network 10, no. 03 (2018): 78–92. http://dx.doi.org/10.4236/cn.2018.103007.

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Fox-Hughes, Paul, Ian Barnes-Keoghan, and Adrian Porter. "Observations of a tornado at an Automatic Weather Station in northern Tasmania." Journal of Southern Hemisphere Earth Systems Science 68, no. 1 (2018): 215. http://dx.doi.org/10.1071/es18012.

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On 15 April 2009, the Automatic Weather Station (AWS) at Scottsdale, in north-eastern Tasmania, recorded a wind gust of 54 ms-1 (194 kmh-1) as an active squall line crossed the state. Investigation of the environment, instrumentation, and damage resulted in the conclusion that this was a genuine wind gust caused by a tornado passing very close to the anemometer. This was the first direct AWS observation of a tornado in Australia, and one of very few such observations in the world. In this report, we document the weather event which produced the tornado, briefly outline the synoptic situation leading to its occurrence, document additional background observations that provide context for the event, and discuss the nature of the observations made by the AWS and the method by which the wind gust observations were verified.The squall line was part of a cold front that crossed northern Tasmania on the morning of 15 April 2009. At 300 hPa, the orientation of the short-wave trough associated with the cold front changed from positively to strongly negatively tilted as it moved over central Victoria and Tasmania. The orientation of the trough and position of a jet streak within it suggested strong upper divergence and strong vertical motion. These contributed to thunderstorm development and resulted in very substantial vertical wind shear through the lower half of the troposphere, which in turn contributed to the organisation of the severe convection. Near the surface, low cloud base and strong vertical windshear in the lowest kilometre provided conditions conducive to tornado development.

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Smeets, Paul C. J. P., Peter Kuipers Munneke, Dirk van As, Michiel R. van den Broeke, Wim Boot, Hans Oerlemans, Henk Snellen, Carleen H. Reijmer, and Roderik S. W. van de Wal. "The K-transect in west Greenland: Automatic weather station data (1993–2016)." Arctic, Antarctic, and Alpine Research 50, no. 1 (January 1, 2018): S100002. http://dx.doi.org/10.1080/15230430.2017.1420954.

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Jianyun, Chen, Sun Yunfan, and Lin Chunyan. "Research on Application of Automatic Weather Station Based on Internet of Things." IOP Conference Series: Earth and Environmental Science 104 (December 2017): 012015. http://dx.doi.org/10.1088/1755-1315/104/1/012015.

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van As, D., C. E. Bøggild, S. Nielsen, A. P. Ahlstrøm, R. S. Fausto, S. Podlech, and M. L. Andersen. "Climatology and ablation at the South Greenland ice sheet margin from automatic weather station observations." Cryosphere Discussions 3, no. 1 (January 26, 2009): 117–58. http://dx.doi.org/10.5194/tcd-3-117-2009.

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Abstract. We describe the climatology from a meteorological dataset acquired from automatic weather station observations done in the ablation zone of the Greenland Ice Sheet between 2001 and 2007. Stations were placed in three regions below the polar circle: on the southern tip of the ice sheet, on a calving glacier in the Nuuk fjord, and on the south-eastern ice margin near Tasiilaq. The yearly cycles in temperature, relative humidity and wind speed reveal the largest variability in wintertime, causing annual values to depend largely on winter values. Adding to wintertime variability are extremely strong and cold katabatic wind events in the southeast ("piteraqs"). During summer no pronounced daily cycle in near-surface atmospheric parameters is recorded in the three regions, in spite of a large cycle in solar radiation, dominantly regulating surface melt. Net ablation is largest at the southernmost station due to low surface albedo, and can be up to six metres per year, but is highly sensitive to the timing of the start of the ice ablation season. Illustrative of this is that similar ablation amounts are found in the Nuuk fjord region where little or no snow accumulates in winter.

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Meissner, R., A. A. Bondarovich, V. V. Scherbinin, E. V. Ponkina, A. V. Matsyura, A. V. Puzanov, H. Rupp, et al. "МЕТОДИКА РАСЧЕТА ВОДНОГО БАЛАНСА ДЛЯ СУХОЙ СТЕПИ ЮГА ЗАПАДНОЙ СИБИРИ ПО ДАННЫМ МЕЖДУНАРОДНОЙ МОНИТОРИНГОВОЙ СЕТИ." Biological Bulletin of Bogdan Chmelnitskiy Melitopol State Pedagogical University 6, no. 2 (August 31, 2016): 223–38. http://dx.doi.org/10.15421/201652.

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<p>The study of the water balance is not only of great practical importance, but also of interest from the standpoint of basic science for the researchers of the steppe zone, which has traditionally attracted people for its climate and soil resources. The article presents the results obtained from a network of automatic stations deployed in the framework of the Russian-German scientific cooperation in the field of climate, soil, and hydrological monitoring for 2012-2015. The instrumental data were obtained and the method of soil water balance calculation was performed on the basis of data of automatic weather station observations and lysimetric stations of new generation in the conditions of Western Siberia.</p><p> </p>

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41

Jaber, Sondos Hassan. "The Study of Refractive–Index Structure Coefficient Behavior Derived from Two Weather Stations at Baghded City." Al-Mustansiriyah Journal of Science 29, no. 4 (May 6, 2019): 1. http://dx.doi.org/10.23851/mjs.v29i4.217.

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Refractive –Index Structure Coefficient c_µ^2 behavior derived between horizontal points over at Baghded city was studied during the days containing different weather conditions where we used a horizontal relation to calculate c_µ^2 between two points where we considered the first point Al-Mustansiyah university and the second point Iraqi Meteorological Organization and Seismic Monitoring (IMOSM). This provided us with data from the automatic weather station installed mounted near (ASB) the height of 4m and the second station was set at a height of 2m. The data recorded were pressure and temperature where we calculated the relationship between the different rates of temperature and distance between the two stations where the distance is 20 km. For the heat of C_(T )^(2 )which when finding its value, the value of C_(µ.)^2 and the period was several days represented by a group of atmospheric phenomena and these days are rainy and foggy and clear sky data taken by what was available from measurement at the station. A relationship was found between C_(µ.)^2. With time and also with temperature and atmospheric pressure and difference in temperature for each hour.

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42

Jenkins, G. J. "SCHOOLS SUPPLEMENT No. 4: USING A BBC MICRO IN AN AUTOMATIC WEATHER STATION." Weather 40, no. 12 (December 1985): 380–84. http://dx.doi.org/10.1002/j.1477-8696.1985.tb03738.x.

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Li, Hao, Manesh Kumar Ochani, Hengxu Zhang, and Lei Zhang. "Design of micro-automatic weather station for modern power grid based on STM32." Journal of Engineering 2017, no. 13 (January 1, 2017): 1629–34. http://dx.doi.org/10.1049/joe.2017.0608.

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44

刘, 晓华. "The Review of Lightning Protection Project of the Automatic Weather Station Observation Field." Climate Change Research Letters 04, no. 02 (2015): 53–58. http://dx.doi.org/10.12677/ccrl.2015.42006.

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Sharan, Roneel. "Development of a Remote Automatic Weather Station with a PC-based Data Logger." International Journal of Hybrid Information Technology 7, no. 1 (January 31, 2014): 233–40. http://dx.doi.org/10.14257/ijhit.2014.7.1.19.

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46

Fausto, Robert S., Dirk van As, Kenneth D. Mankoff, Baptiste Vandecrux, Michele Citterio, Andreas P. Ahlstrøm, Signe B. Andersen, et al. "Programme for Monitoring of the Greenland Ice Sheet (PROMICE) automatic weather station data." Earth System Science Data 13, no. 8 (August 6, 2021): 3819–45. http://dx.doi.org/10.5194/essd-13-3819-2021.

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Abstract. The Programme for Monitoring of the Greenland Ice Sheet (PROMICE) has been measuring climate and ice sheet properties since 2007. Currently, the PROMICE automatic weather station network includes 25 instrumented sites in Greenland. Accurate measurements of the surface and near-surface atmospheric conditions in a changing climate are important for reliable present and future assessment of changes in the Greenland Ice Sheet. Here, we present the PROMICE vision, methodology, and each link in the production chain for obtaining and sharing quality-checked data. In this paper, we mainly focus on the critical components for calculating the surface energy balance and surface mass balance. A user-contributable dynamic web-based database of known data quality issues is associated with the data products at https://github.com/GEUS-Glaciology-and-Climate/PROMICE-AWS-data-issues/ (last access: 7 April 2021). As part of the living data option, the datasets presented and described here are available at https://doi.org/10.22008/promice/data/aws (Fausto et al., 2019).

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Hartl, Lea, Martin Stuefer, Tohru Saito, and Yoshitomi Okura. "History and Data Records of the Automatic Weather Station on Denali Pass (5715 m), 1990–2007." Journal of Applied Meteorology and Climatology 59, no. 12 (December 2020): 2113–27. http://dx.doi.org/10.1175/jamc-d-20-0082.1.

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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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Bertrand, C., L. González Sotelino, and M. Journée. "Quality control of 10-min soil temperatures data at RMI." Advances in Science and Research 12, no. 1 (March 6, 2015): 23–30. http://dx.doi.org/10.5194/asr-12-23-2015.

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Abstract. Soil temperatures at various depths are unique parameters useful to describe both the surface energy processes and regional environmental and climate conditions. To provide soil temperature observation in different regions across Belgium for agricultural management as well as for climate research, soil temperatures are recorded in 13 of the 20 automated weather stations operated by the Royal Meteorological Institute (RMI) of Belgium. At each station, soil temperature can be measured at up to 5 different depths (from 5 to 100 cm) in addition to the bare soil and grass temperature records. Although many methods have been developed to identify erroneous air temperatures, little attention has been paid to quality control of soil temperature data. This contribution describes the newly developed semi-automatic quality control of 10-min soil temperatures data at RMI.

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Coggins, J. H. J., A. J. Mcdonald, G. Plank, M. Pannell, B. Jolly, S. Parsons, and T. Delany. "SNOW-WEB: a new technology for Antarctic meteorological monitoring." Antarctic Science 25, no. 4 (February 22, 2013): 583–99. http://dx.doi.org/10.1017/s0954102013000011.

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AbstractThis study describes SNOW-WEB, a distributed system of atmospheric sensors, which is cost-effective and can be efficiently deployed in Antarctica. The system supports traditional atmospheric sensors and has built-in redundancy as many units can be deployed in a relatively small area for a similar cost to one conventional weather station. Furthermore, each unit is equipped with wireless mesh-networking capabilities and so is able to share information with those units in its direct vicinity. This allows for the ferrying of collected information to a manned observation station and hence the ability to monitor data in real-time. GPS hardware installed on each unit also allows for high-resolution glacier or ice shelf tracking. As a testing study, eighteen such weather stations were deployed in the vicinity of Scott Base, Ross Island, Antarctica over the 2011/12 summer season. This paper reports on the successful development and deployment of the system, results from the testing period and challenges encountered during the experiment. Collected data is validated against automatic weather stations already operating in the region and an intercomparison is performed between SNOW-WEB data and forecast output from the Antarctic Mesoscale Prediction System. A high degree of agreement is found between data sources. We conclude that SNOW-WEB data is suitable for use in studies of mesoscale meteorology.

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Netto, Guilherme Tomaschewski, and Jorge Arigony-Neto. "Open-source Automatic Weather Station and Electronic Ablation Station for measuring the impacts of climate change on glaciers." HardwareX 5 (April 2019): e00053. http://dx.doi.org/10.1016/j.ohx.2019.e00053.

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Journal articles on the topic 'Automatic Weather Station'

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