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Artykuły w czasopismach na temat „Automated weather station”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Abdul-Niby, M., M. Farhat, M. Abdullah, and A. Nazzal. "A Low Cost Automated Weather Station for Real Time Local Measurements." Engineering, Technology & Applied Science Research 7, no. 3 (2017): 1615–18. https://doi.org/10.5281/zenodo.809237.

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In this paper, we present an automated weather station for real time and local measurements, based on an embedded system that continuously measures several weather factors such as temperature, humidity, barometric pressure, wind speed, wind direction, and rainfall. This weather station consists of two parts which are located indoor and outdoor and connected together wirelessly. The outdoor weather station measures the current temperature, humidity, barometric pressure, wind speed, wind direction and recent rain amount. The indoor station displays the outdoor reading as well as the temperature

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Dunaieva, I., V. Vecherkov, Y. Filina, et al. "Review of automatized meteorological stations use for agricultural purposes." IOP Conference Series: Earth and Environmental Science 937, no. 3 (2021): 032097. http://dx.doi.org/10.1088/1755-1315/937/3/032097.

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Abstract The article deals with the questions of application and functioning of automated weather stations in agriculture. Digitalization of agriculture can significantly increase the efficiency of production and reduce the cost of manufacturing products by obtaining and accumulating information about the ongoing technological processes and making appropriate management decisions. A huge role is given to the possibility of obtaining operational data on the level of soil moisture reserves, the prevailing meteorological conditions, etc. in real time. The use of automated meteorological stations

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Abdul-Niby, M., M. Farhat, M. Abdullah, and A. Nazzal. "A Low Cost Automated Weather Station for Real Time Local Measurements." Engineering, Technology & Applied Science Research 7, no. 3 (2017): 1615–18. http://dx.doi.org/10.48084/etasr.1187.

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In this paper, we present an automated weather station for real time and local measurements, based on an embedded system that continuously measures several weather factors such as temperature, humidity, barometric pressure, wind speed, wind direction, and rainfall. This weather station consists of two parts which are located indoor and outdoor and connected together wirelessly. The outdoor weather station measures the current temperature, humidity, barometric pressure, wind speed, wind direction and recent rain amount. The indoor station displays the outdoor reading as well as the temperature

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Horel, John D., and Xia Dong. "An Evaluation of the Distribution of Remote Automated Weather Stations (RAWS)." Journal of Applied Meteorology and Climatology 49, no. 7 (2010): 1563–78. http://dx.doi.org/10.1175/2010jamc2397.1.

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Abstract This study estimates whether surface observations of temperature, moisture, and wind at some stations in the continental United States are less critical than others for specifying weather conditions in the vicinity of those stations. Two-dimensional variational analyses of temperature, relative humidity, and wind were created for selected midday hours during summer 2008. This set of 8925 control analyses was derived from 5-km-resolution background fields and Remote Automated Weather Station (RAWS) and National Weather Service (NWS) observations within roughly 4° × 4° latitude–longitud

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Staffenova, Daniela, and Radoslav Ponechal. "Comparison of Meteorological Climate Data Sets from Greater Žilina and their Influence on Temperatures within the Experimental Wall." Applied Mechanics and Materials 861 (December 2016): 327–34. http://dx.doi.org/10.4028/www.scientific.net/amm.861.327.

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The experimental wall fragment (consisting of five different sections) was completed in 2010. Temperatures inside the sections had been recorded since. The laboratory centre of our department is also equipped with the own detached experimental weather station. In this paper, the outdoor boundary conditions obtained from the experimental weather station are compared to the automated weather station Dolny Hricov and to the phenological weather station in Zilina (with registering period of three times a day), both maintained by Slovak Hydrometeorological Institute (SHMU). For the comparison, ther

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R. L. Elliott, F. V. Brock, M. L. Stone, and S. L. Harp. "Configuration Decisions for an Automated Weather Station Network." Applied Engineering in Agriculture 10, no. 1 (1994): 45–51. http://dx.doi.org/10.13031/2013.25826.

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Bolongho, Ruwan. "Microcontroller based Multifunctional Automated Weather Monitoring and Logging System." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (2021): 189–98. http://dx.doi.org/10.22214/ijraset.2021.38773.

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Abstract: This paper describes a microcontroller-based prototype Automated Weather Monitoring and Logging System that can col- lect meteorological data such as air temperature, relative humidity, atmospheric pressure, light intensity, and rain detection from any distant location. The Weather Monitoring and Logging System is entirely automated, and measured weather data is transferred to a public server while showing immediate data on a liquid crystal display (LCD) and stored to a Secure Digital (SD) card. For private viewers, Android-based smart phones may be interfaced with the weather statio

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Řepka, Miroslav, Pavel Lipina, and Veronika Šustková. "History and current state of meteorological measurements and observations in the Jeseníky region." Meteorologické zprávy 77, no. 5 (2025): 144–50. https://doi.org/10.59984/mz.2024.05.02.

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The oldest known mention of meteorological observations in the area of interest is from 1816 Frývaldov (German: Freiwaldau, today’s town of Jeseník). Between 1840 and 1845, Dr. Heinisch observed the weather in the Karlova Studánka municipality. In 1851, the Central Institute for Meteorology and Earth Magnetism was founded in Vienna, which, however, was more important for the region of Bohemia. The foundation of the Natural Research Society in 1861 in Brno by Johann Gregor Mendel contributed to the enlargement of the meteorological station network in northern Moravia. The result of the activiti

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R. B. Curry, J. C. Klink, J. R. Holman, D. L. Elwell, and M. J. Sciarini. "Current Ohio Experience with an Automated Weather Station Network." Applied Engineering in Agriculture 4, no. 2 (1988): 150–55. http://dx.doi.org/10.13031/2013.26598.

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Oba Ramos, Caio Cesar, and Mário Lúcio Roloff. "DEVELOPMENT OF AN AUTOMATED SYSTEM FOR WEATHER DATA COLLECTION AND FORECASTING CLIMATE EVENTS BY MEANS OF RADIO FREQUENCY." REVISTA ENGENHARIA NA AGRICULTURA - REVENG 28 (December 8, 2020): 415–24. http://dx.doi.org/10.13083/reveng.v29i1.9006.

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The weather forecasting method is based on the analysis of data collected to support decision-making. This paper describes the development of a weather station (prototype) to assist in monitoring plantations and forecasting extreme weather events. The strategy adopted is to use a set of stations connected via radiofrequency forming a communications network to better understand and anticipate such events. The weather forecasting method is based on analysis of data collected to support decision making. The laboratory tests were successful, but field tests had several difficulties and unforeseen

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María Monserrat Torres-Cruz, Guillermo Fuentes-Dávila, and Pedro Félix-Valencia. "Prevailing temperatures and cold units in the Yaqui and Mayo Valleys, Mexico, during the 2021-2022 fall-winter crop season." World Journal of Advanced Research and Reviews 19, no. 2 (2023): 816–21. http://dx.doi.org/10.30574/wjarr.2023.19.2.1639.

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Agriculture is an activity dependent on climate and therefore highly sensitive to climatic changes and to the variability of weather factors, considering the temperature as the climatic element most related to annual crop productivity. The objective of this work was to analyze the temperature that prevailed in the Yaqui and Mayo Valleys during the crop season fall-winter 2021-2022. Data were obtained from the automated weather station network in the state of Sonora, which comprises nineteen stations in the Yaqui Valley and thirteen in the Mayo Valley. Data were captured in Excel with the hourl

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How, Penelope R., Patrick J. Wright, Kenneth D. Mankoff, Baptiste Vandecrux, Robert S. Fausto, and Andreas P. Ahlstrøm. "pypromice: A Python package for processing automated weather station data." Journal of Open Source Software 8, no. 86 (2023): 5298. http://dx.doi.org/10.21105/joss.05298.

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María, Monserrat Torres-Cruz, Fuentes-Dávila Guillermo, and Félix-Valencia Pedro. "Prevailing temperatures and cold units in the Yaqui and Mayo Valleys, Mexico, during the 2021-2022 fall-winter crop season." World Journal of Advanced Research and Reviews 19, no. 2 (2023): 816–21. https://doi.org/10.5281/zenodo.10846450.

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Agriculture is an activity dependent on climate and therefore highly sensitive to climatic changes and to the variability of weather factors, considering the temperature as the climatic element most related to annual crop productivity. The objective of this work was to analyze the temperature that prevailed in the Yaqui and Mayo Valleys during the crop season fall-winter 2021-2022. Data were obtained from the automated weather station network in the state of Sonora, which comprises nineteen stations in the Yaqui Valley and thirteen in the Mayo Valley. Data were captured in Excel with the hourl

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Herdianzenda, Larangga, Diky Siswanto, and Istiadi Istiadi. "Design of Portable Automatic Weather Station Based on Raspberry PI." JOURNAL OF SCIENCE AND APPLIED ENGINEERING 4, no. 1 (2021): 33. http://dx.doi.org/10.31328/jsae.v4i1.3048.

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Observation of the weather elements is very necessary for the welfare of mankind, the weather elements that are observed will be used as material to predict the weather in the future. Weather data can also be used to reduce the risk of adverse effects caused by the weather itself. To measure the weather with an automated monitoring system that is cheaper and of good quality, AWS was created. The AWS design using Raspberry Pi was made as a use of Raspberry Pi mini computer technology for the purposes of the Meteorology, Climatology and Geophysics Agency (BMKG). humidity, Rain Counter, wind dire

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15

Shulski, Martha, Stonie Cooper, Glen Roebke, and Al Dutcher. "The Nebraska Mesonet: Technical Overview of an Automated State Weather Network." Journal of Atmospheric and Oceanic Technology 35, no. 11 (2018): 2189–200. http://dx.doi.org/10.1175/jtech-d-17-0181.1.

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AbstractThe Nebraska Mesonet was established in 1981 as one of the nation’s first automated state weather networks. “Automated” is defined by the nature of the observations being made and recorded by machine, as opposed to observations made and recorded manually. At the time of inception, the five observing locations were geared toward servicing agricultural production applications. The Nebraska Mesonet has grown to 69 stations (as of 2018) and is now a multipurpose environmental observing network under the Nebraska State Climate Office (NSCO). The network is composed of environmental observat

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Logan, Joanne, and Michael J. Searcy. "TOPOCLIMATIC EFFECTS ON SPRING FREEZE CHARACTERISTICS AND PEACH PHENOLOGY." HortScience 26, no. 6 (1991): 751A—751. http://dx.doi.org/10.21273/hortsci.26.6.751a.

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Peach production in Tennessee has suffered a decline in the past decade due to late and severe spring freezes. East Tennessee is an area of diverse topography. It may be possible to use topoclimate exposure to ameliorate the low temperatures in spring and therefore lessen the damage to peach buds. Exposure also may also influence the accumulation of chill units and growing degrees, therefore affecting the stage of peach bud development when the freeze occurs. Five automated weather stations were located in topoclimatically different areas of a peach orchard in Dandridge, Tennessee, from Septem

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Nwuzor, Ogochukwu C., Ogbonnaya Okike, P. A. Okpara, A. O. Chikwendu, A. K. Ekweh, and P. I. Akande. "Investigating the Link between Space-Weather Parameters and Forbush Decrease." Nigerian Journal of Physics 33, no. 3 (2024): 92–99. https://doi.org/10.62292/njp.v33i3.2024.294.

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The link between space-weather parameters and Forbush decrease has been investigated. The aim was to determine the relationship between space-weather parameters and forbush decrease. Daily cosmic ray counts from MGDN station for 2010-2015 were used to achieve this aim. Solar wind speed (SWS) and interplanetary magnetic field (IMF) intensity were equally used as space-weather parameters. The semi-automated method of FD detection was deployed. This method generated 1104 FDs for the MGDN station within the years under study. A correlation and regression between FDs and space-weather parameters (S

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Fang, Xing, John W. Pomeroy, Chris M. DeBeer, Phillip Harder, and Evan Siemens. "Hydrometeorological data from Marmot Creek Research Basin, Canadian Rockies." Earth System Science Data 11, no. 2 (2019): 455–71. http://dx.doi.org/10.5194/essd-11-455-2019.

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Abstract. Meteorological, snow survey, streamflow, and groundwater data are presented from Marmot Creek Research Basin, Alberta, Canada. The basin is a 9.4 km2, alpine–montane forest headwater catchment of the Saskatchewan River basin that provides vital water supplies to the Prairie Provinces of Canada. It was heavily instrumented, experimented upon, and operated by several federal government agencies between 1962 and 1986, during which time its main and sub-basin streams were gauged, automated meteorological stations at multiple elevations were installed, groundwater observation wells were d

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Kuśmierek-Tomaszewska, Renata, Jacek Żarski, and Stanisław Dudek. "Meteorological automated weather station data application for plant water requirements estimation." Computers and Electronics in Agriculture 88 (October 2012): 44–51. http://dx.doi.org/10.1016/j.compag.2012.07.002.

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Box, Jason E., and Konrad Steffen. "Sublimation on the Greenland Ice Sheet from automated weather station observations." Journal of Geophysical Research: Atmospheres 106, no. D24 (2001): 33965–81. http://dx.doi.org/10.1029/2001jd900219.

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Bumbaco, Karin A., Gregory J. Hakim, Guillaume S. Mauger, Natalia Hryniw, and Eric J. Steig. "Evaluating the Antarctic Observational Network with the Antarctic Mesoscale Prediction System (AMPS)." Monthly Weather Review 142, no. 10 (2014): 3847–59. http://dx.doi.org/10.1175/mwr-d-13-00401.1.

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Abstract Station siting for environmental observing networks is usually made subjectively, which suggests that the monitoring goals for the network may not be met optimally or cost effectively. In Antarctica, where harsh weather conditions make it difficult to install and maintain stations, practical considerations have largely guided the development of the staffed and automated weather station network. The current network coverage in Antarctica is evaluated as a precursor to optimal network design. The Antarctic Mesoscale Prediction System (AMPS) 0000 UTC analysis is used for 4 years (2008–12

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Lefevre, Alexandre, Bruno Malet-Damour, Harry Boyer, and Garry Rivière. "Advancing Urban Microclimate Monitoring: The Development of an Environmental Data Measurement Station Using a Low-Tech Approach." Sustainability 16, no. 7 (2024): 3093. http://dx.doi.org/10.3390/su16073093.

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Researchers studying urban climates aim to understand phenomena like urban heat islands (UHIs), which describe temperature differences between urban and rural areas. However, studies often lack numerous measurement points and frequently overlook parameters like radiation and air velocity due to the high cost of precision instrumentation. This results in data with a low resolution, particularly in tropical cities where official weather stations are scarce. This research introduces a new, low-tech tool for district-level outdoor thermal comfort assessment and UHI characterization to address thes

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Park, Moon-Soo, and Kitae Baek. "Quality Management System for an IoT Meteorological Sensor Network—Application to Smart Seoul Data of Things (S-DoT)." Sensors 23, no. 5 (2023): 2384. http://dx.doi.org/10.3390/s23052384.

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Meteorological data with a high horizontal resolution are essential for user-specific weather application services, such as flash floods, heat waves, strong winds, and road ice, in urban areas. National meteorological observation networks, such as the Automated Synoptic Observing System (ASOS) and Automated Weather System (AWS), provide accurate but low horizontal resolution data to address urban-scale weather phenomena. Many megacities are constructing their own Internet of Things (IoT) sensor networks to overcome this limitation. This study investigated the status of the smart Seoul data of

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Kaur, Lovedeep, Dr Amardeep Singh, and Dr Navdeep Kanwal. "Thunderstorm Nowcasting in India: A Survey." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 008 (2024): 1–2. http://dx.doi.org/10.55041/ijsrem37026.

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Abstract Thunderstorm is a major threat to life. In India it is a major disaster which causes loss of life and property every year. It is a meteorological phenomenon occurs in different parts of India which includes heavy rainfall, strong wind, hailstorm, dust storm or lightning. The earlier prediction of thunderstorms is crucial for public safety and awareness. Thunderstorm prediction is essential for public safety that’s why precision and accuracy in predicting thunderstorms is very important. Thunderstorm is a phenomenon which occurs due to formation of convection cells and the lifetime of

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Huryn, Steven, William Gough, Ken Butler, and Tanzina Mohsin. "An Evaluation of Thunderstorm Observations in Southern Ontario Using Automated Lightning Detection Data." Journal of Applied Meteorology and Climatology 54, no. 9 (2015): 1837–46. http://dx.doi.org/10.1175/jamc-d-15-0089.1.

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AbstractHigh-impact weather events, such as thunderstorms and their associated hazards, are aspects of a changing climate that are likely to have an adverse effect on society. Southern Ontario is Canada’s most populated region as well as the region of Canada that receives the most thunderstorms. Before completing climatological studies of thunderstorms in southern Ontario, it is important to determine whether historical thunderstorm data are reliable. Archived thunderstorm data are available from eight 24-h-staffed weather stations across southern Ontario. The data may be subject to observer b

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Umeh Constance Nnenna, Eke James, and Eze Ogochukwu Edith. "Modelling an automated rainfall forecasting system using an optimized intelligent agent." Global Journal of Engineering and Technology Advances 15, no. 1 (2023): 064–69. http://dx.doi.org/10.30574/gjeta.2023.15.1.0077.

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Weather forecasting information is very crucial in decision making process regarding to activities and works, such as in the field of agriculture to determine initial growing season. Recently, climate change causes trouble in weather forecasting. Time series data analysis for forecasting, is one of the most important aspects of the practical usage. Time Series data is large in volume, highly dimensional and continuous updating. Accurate rainfall forecasting with the help of time series data analysis had helped in the field of agriculture, in evaluating drought and flooding situations in advanc

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Umeh, Constance Nnenna, James Eke, and Ogochukwu Edith Eze. "Modelling an automated rainfall forecasting system using an optimized intelligent agent." Global Journal of Engineering and Technology Advances 15, no. 1 (2023): 064–69. https://doi.org/10.5281/zenodo.7932186.

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Weather forecasting information is very crucial in decision making process regarding to activities and works, such as in the field of agriculture to determine initial growing season. Recently, climate change causes trouble in weather forecasting. Time series data analysis for forecasting, is one of the most important aspects of the practical usage. Time Series data is large in volume, highly dimensional and continuous updating. Accurate rainfall forecasting with the help of time series data analysis had helped in the field of agriculture, in evaluating drought and flooding situations in advanc

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Wu, Chung-Lung, Gonzalo R. Rada, Aramis Lopez, and Yingwu Fang. "Accuracy of Weather Data in Long-Term Pavement Performance Program Database." Transportation Research Record: Journal of the Transportation Research Board 1699, no. 1 (2000): 151–59. http://dx.doi.org/10.3141/1699-21.

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To provide accurate climatic data for pavements under the Long-Term Pavement Performance (LTPP) Program, a climatic database was developed in 1992 and subsequently revised and expanded in 1998. In the development of this database, up to five nearby weather stations were selected for each test site. Pertinent weather data for the selected weather stations were obtained from the U.S. National Climatic Data Center and the Canadian Climatic Center. With a 1/ R2 weighting scheme, site-specific climatic data were derived from the nearby weather station data. The derived data were referred to as “vir

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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 (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 reco

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Szabóné André, Karolina, Csaba Molnár, Tibor Molnár, et al. "Upgrading and Relocation of the Campbell Meteorological Station in the Széchenyi István Geophysical Observatory." Geophysical Observatory Reports 2023–2024 (2025): 22–40. https://doi.org/10.55855/gor2024.2.

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The main meteorological station at the Széchenyi István Geophysical Observatory equipped mostly with Campbell Scientific meteorological instruments has undergone a major change in recent years. Data download from the data logger has been automated by a mini-PC, new instruments have been added (ceilometer, visibility and present weather sensor, barometer) and the station has been moved to a new location. Now it better complements the atmospheric measurements in the observatory, for example by facilitating the determination of the so-called fair-weather conditions for the evaluation of atmospher

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María Monserrat Torres-Cruz, Guillermo Fuentes-Dávila, and Pedro Félix-Valencia. "Influence of the temperature and relative humidity on the incidence of wheat leaf rust (Puccinia Triticina Eriks.) in southern Sonora, Mexico, during three crop seasons." World Journal of Advanced Research and Reviews 14, no. 1 (2022): 200–207. http://dx.doi.org/10.30574/wjarr.2022.14.1.0305.

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The influence of climate upon a plant disease is a consequence of the causal agent and its interaction with the host plant. Plants present distinctive elements by the effect of climate, whether they are adverse or beneficial to their growth and development, as well as for their exposure or protection from those climatic factors. The objective of this work was to analyze the influence of temperature and relative humidity in relation to commercial wheat fields which presented leaf rust in different areas of the southern region of the state of Sonora, Mexico, during the crop seasons 2017-2018, 20

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María, Monserrat Torres-Cruz, Fuentes-Dávila Guillermo, and Félix-Valencia Pedro. "Influence of the temperature and relative humidity on the incidence of wheat leaf rust (Puccinia Triticina Eriks.) in southern Sonora, Mexico, during three crop seasons." World Journal of Advanced Research and Reviews 14, no. 1 (2022): 200–207. https://doi.org/10.5281/zenodo.7009129.

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The influence of climate upon a plant disease is a consequence of the causal agent and its interaction with the host plant. Plants present distinctive elements by the effect of climate, whether they are adverse or beneficial to their growth and development, as well as for their exposure or protection from those climatic factors. The objective of this work was to analyze the influence of temperature and relative humidity in relation to commercial wheat fields which presented leaf rust in different areas of the southern region of the state of Sonora, Mexico, during the crop seasons 2017-2018, 20

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Sokolov, S., S. Vlaev, and M. Chalashkanov. "Technique for storing and automated processing of weather station data in cloud platforms." IOP Conference Series: Materials Science and Engineering 1032 (January 21, 2021): 012021. http://dx.doi.org/10.1088/1757-899x/1032/1/012021.

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Dragozi, Eleni, Theodore M. Giannaros, Vasiliki Kotroni, Konstantinos Lagouvardos, and Ioannis Koletsis. "Dead Fuel Moisture Content (DFMC) Estimation Using MODIS and Meteorological Data: The Case of Greece." Remote Sensing 13, no. 21 (2021): 4224. http://dx.doi.org/10.3390/rs13214224.

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The frequent occurrence of large and high-intensity wildfires in the Mediterranean region poses a major threat to people and the environment. In this context, the estimation of dead fine fuel moisture content (DFMC) has become an integrated part of wildfire management since it provides valuable information for the flammability status of the vegetation. This study investigates the effectiveness of a physically based fuel moisture model in estimating DFMC during severe fire events in Greece. Our analysis considers two approaches, the satellite-based (MODIS DFMC model) and the weather station-bas

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Lee, Yeji, Doosung Choi, Yongho Jung, and Myeongjin Ko. "Application of Technology to Develop a Framework for Predicting Power Output of a PV System Based on a Spatial Interpolation Technique: A Case Study in South Korea." Energies 15, no. 22 (2022): 8755. http://dx.doi.org/10.3390/en15228755.

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To increase the accuracy of photovoltaic (PV) power prediction, meteorological data measured at a plant’s target location are widely used. If observation data are missing, public data such as automated synoptic observing systems (ASOS) and automatic weather stations (AWS) operated by the government can be effectively utilized. However, if the public weather station is located far from the target location, uncertainty in the prediction is expected to increase owing to the difference in distance. To solve this problem, we propose a power output prediction process based on inverse distance weight

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Onofre, Thiago Borba, Clyde W. Fraisse, Janise McNair, Jasmeet Judge, Lincoln Zotarelli, and Natalia A. Peres. "A Design and Development Experience of an Internet of Things Platform to Monitor Site-Specific Weather Conditions at the Farm Level." Applied Engineering in Agriculture 37, no. 4 (2021): 691–700. http://dx.doi.org/10.13031/aea.14005.

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Highlights We present an Internet of Things (IoT) platform to monitor site-specific weather conditions at the farm level. We built a distributed mesh network of sensor nodes using open-source and open-hardware tools. We tested different communication range scenarios and installation setups. Emerging IoT technologies are susceptible to failure but have the potential to improve site-specific data collection. Abstract . This article describes the design, deployment, and evaluation of an Internet of Things (IoT) platform to monitor site-specific weather conditions at the farm level using wireless

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Scambos, T. A., R. Ross, T. Haran, et al. "A camera and multisensor automated station design for polar physical and biological systems monitoring: AMIGOS." Journal of Glaciology 59, no. 214 (2013): 303–14. http://dx.doi.org/10.3189/2013jog12j170.

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AbstractThe Automated Meteorology–Ice/Indigenous species–Geophysics Observation System (AMIGOS) consists of a set of measurement instruments and camera(s) controlled by a single-board computer with a simplified Linux operating system and an Iridium satellite modem supporting two-way communication. Primary features of the system relevant to polar operations are low power requirements, daily data uploading, reprogramming, tolerance for low temperatures, and various approaches for automatic resets and recovery from low power or cold shutdown. Instruments include a compact weather station, single-

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Coop, Andrea J., Kenneth G. Hubbard, Martha D. Shulski, Jinsheng You, and David B. Marx. "Spatial Accuracy of Climate Networks: A Case Study in Nebraska." Journal of Applied Meteorology and Climatology 53, no. 8 (2014): 1932–42. http://dx.doi.org/10.1175/jamc-d-13-0296.1.

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AbstractClimate data are increasingly scrutinized for accuracy because of the need for reliable input for climate-related decision making and assessments of climate change. Over the last 30 years, vast improvements to U.S. instrumentation, data collection, and station siting have created more accurate data. This study explores the spatial accuracy of daily maximum and minimum air temperature data in Nebraska networks, including the U.S. Historical Climatology Network (HCN), the Automated Weather Data Network (AWDN), and the more recent U.S. Climate Reference Network (CRN). The spatial structur

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Ziolkowska, Jadwiga R., Christopher A. Fiebrich, J. D. Carlson, et al. "Benefits and Beneficiaries of the Oklahoma Mesonet: A Multisectoral Ripple Effect Analysis." Weather, Climate, and Society 9, no. 3 (2017): 499–519. http://dx.doi.org/10.1175/wcas-d-16-0139.1.

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Abstract Since the Oklahoma Mesonet (the state’s automated mesoscale weather station network) was established in 1994, it has served a number of diverse groups and provided public services to foster weather preparedness, education, and public safety, while also supporting decision-making in agricultural production and wildland fire management. With 121 monitoring stations across the state, the Oklahoma Mesonet has developed an array of technologies to observe a variety of atmospheric and soil variables in 5- to 30-min intervals. These consistent observations have been especially critical for p

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Meng, Zhen, Shichang Zhang, Yan Yang, and Ming Liu. "Nonlinear Partial Least Squares for Consistency Analysis of Meteorological Data." Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/143965.

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Considering the different types of error and the nonlinearity of the meteorological measurement, this paper proposes a nonlinear partial least squares method for consistency analysis of meteorological data. For a meteorological element from one automated weather station, the proposed method builds the prediction model based on the corresponding meteorological elements of other surrounding automated weather stations to determine the abnormality of the measured values. For the proposed method, the latent variables of the independent variables and the dependent variables are extracted by the part

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Sarafanov, Mikhail, Yulia Borisova, Mikhail Maslyaev, Ilia Revin, Gleb Maximov, and Nikolay O. Nikitin. "Short-Term River Flood Forecasting Using Composite Models and Automated Machine Learning: The Case Study of Lena River." Water 13, no. 24 (2021): 3482. http://dx.doi.org/10.3390/w13243482.

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The paper presents a hybrid approach for short-term river flood forecasting. It is based on multi-modal data fusion from different sources (weather stations, water height sensors, remote sensing data). To improve the forecasting efficiency, the machine learning methods and the Snowmelt-Runoff physical model are combined in a composite modeling pipeline using automated machine learning techniques. The novelty of the study is based on the application of automated machine learning to identify the individual blocks of a composite pipeline without involving an expert. It makes it possible to adapt

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Schwarz, E., D. Krause, M. Berg, H. Daedelow, and H. Maass. "Near Real Time Applications for Maritime Situational Awareness." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 30, 2015): 999–1003. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-999-2015.

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Applications to derive maritime value added products like oil spill and ship detection based on remote sensing SAR image data are being developed and integrated at the Ground Station Neustrelitz, part of the German Remote Sensing Data Center. Products of meteo-marine parameters like wind and wave will complement the product portfolio. Research and development aim at the implementation of highly automated services for operational use. SAR images are being used because of the possibility to provide maritime products with high spatial resolution over wide swaths and under all weather conditions.

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Larsen, Signe Hillerup, Daniel Binder, Anja Rutishauser, Bernhard Hynek, Robert Schjøtt Fausto, and Michele Citterio. "Climate and ablation observations from automatic ablation and weather stations at A. P. Olsen Ice Cap transect, northeast Greenland, for May 2008 through May 2022." Earth System Science Data 16, no. 9 (2024): 4103–18. http://dx.doi.org/10.5194/essd-16-4103-2024.

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Abstract. The negative surface mass balance of glaciers and ice caps under a warming climate impacts local ecosystems, influencing the volume and timing of water flow in local catchments while also contributing to global sea level rise. Peripheral glaciers distinct to the Greenland ice sheet respond faster to climate change than the main ice sheet. Accurate assessment of surface mass balance depends on in situ observations of near-surface climate and ice ablation, but very few in situ observations of near-surface climate and ice ablation are freely available for Greenland's peripheral glaciers

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Hema, N., and Krishna Kant. "Hourly Real-Time Rainfall Estimation for Improved Smart Irrigation System Using Nearby Automated Weather Station." British Journal of Applied Science & Technology 18, no. 5 (2016): 1–13. http://dx.doi.org/10.9734/bjast/2016/30934.

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Rocha, Jampierre Viera, Ricardo Rodrigues Magalhães, Luiz Gonsaga de Carvalho, Adriano Valentim Diotto, and Bruno Henrique Groenner Barbosa. "Development of a low-cost weather station and real-time monitoring for automated irrigation management." Acta Scientiarum. Technology 44 (March 11, 2022): e59244. http://dx.doi.org/10.4025/actascitechnol.v44i1.59244.

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Irrigation is a practice that increases productivity and enables the expansion of agricultural borders. This practice should be well managed to ensure the efficient use of water by plants, and such management requires specialized labor, which increases operating costs. Therefore, the main objective of this study is the implementation of an automated irrigation system that considers factors ranging from water demand to the operation of the system. Because the daily water demand is determined by crop evapotranspiration, a low-cost weather station was developed to acquire data daily. Such data ca

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Sinclair, S., and G. G. S. Pegram. "A comparison of ASCAT and modelled soil moisture over South Africa, using TOPKAPI in land surface mode." Hydrology and Earth System Sciences Discussions 6, no. 6 (2009): 7439–82. http://dx.doi.org/10.5194/hessd-6-7439-2009.

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Abstract. In this paper we compare two independent soil moisture estimates over South Africa. The first estimate is provided by automated runs of the TOPKAPI hydrological model. The model has been adapted to run as a collection of independent 1 km cells located on a grid with a spatial resolution of 0.125°, using 3 hourly rainfall estimates and evapotranspiration forcing calculated at 1 h intervals. The rainfall forcing used is the TRMM 3B42RT product, while the evapotranspiration forcing is based on a modification of the FAO56 reference crop evapotranspiration (ET0), which accounts for vegeta

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Klok, S. V., and V. M. Kotsiuba. "The results of the use of the automated station of weather "Troposphere" in the conditions of the Ukrainian Antarctic Vernadsky Station." Ukrainian Antarctic Journal, no. 13 (2014): 94–102. http://dx.doi.org/10.33275/1727-7485.13.2014.216.

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Ostojin, S., S. R. Mounce, and J. B. Boxall. "An artificial intelligence approach for optimizing pumping in sewer systems." Journal of Hydroinformatics 13, no. 3 (2011): 295–306. http://dx.doi.org/10.2166/hydro.2011.059.

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This paper presents details of a fuzzy logic system developed for the control of sewer pumping stations for energy costs savings. This is part of an ongoing collaborative project between Anglian Water and the University of Sheffield. The model rules and operation are developed for one representative pumping station in order to enable the identification of potential benefits and inhibitors to Anglian Water. Results are included that demonstrate the potential for energy cost-savings by application to a single pumping station for dry weather flow conditions and through comparison to current on/of

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Mateling, Marian E., Matthew A. Lazzara, Linda M. Keller, George A. Weidner, and John J. Cassano. "Alexander Tall Tower! A Study of the Boundary Layer on the Ross Ice Shelf, Antarctica." Journal of Applied Meteorology and Climatology 57, no. 2 (2018): 421–34. http://dx.doi.org/10.1175/jamc-d-17-0017.1.

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AbstractBecause of the harsh weather conditions on the Antarctic continent, year-round observations of the low-level boundary layer must be obtained via automated data acquisition systems. Alexander Tall Tower! is an automatic weather station on the Ross Ice Shelf in Antarctica and has been operational since February 2011. At 30 m tall, this station has six levels of instruments to collect environmental data, including temperature, wind speed and direction, relative humidity, and pressure. Data are collected at 30-, 15-, 7.5-, 4-, 2-, and 1-m levels above the snow surface. This study identifie

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Helfricht, Kay, Lea Hartl, Roland Koch, Christoph Marty, and Marc Olefs. "Obtaining sub-daily new snow density from automated measurements in high mountain regions." Hydrology and Earth System Sciences 22, no. 5 (2018): 2655–68. http://dx.doi.org/10.5194/hess-22-2655-2018.

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Abstract. The density of new snow is operationally monitored by meteorological or hydrological services at daily time intervals, or occasionally measured in local field studies. However, meteorological conditions and thus settling of the freshly deposited snow rapidly alter the new snow density until measurement. Physically based snow models and nowcasting applications make use of hourly weather data to determine the water equivalent of the snowfall and snow depth. In previous studies, a number of empirical parameterizations were developed to approximate the new snow density by meteorological

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