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Journal articles on the topic 'Personal weather station'

Author: Grafiati

Published: 5 October 2024

Last updated: 31 July 2025

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1

Tchamda, André Rodrigue, Merlain Boris Djousse K., Anselme Maffo Koumetio, et al. "Low-cost Wireless Personal Weather Station for Rural Farmers." Transactions on Networks and Communications 9, no. 1 (2021): 01–10. http://dx.doi.org/10.14738/tnc.91.9647.

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This document presents the design of a prototype of a low-cost personal weather station suitable for farmers in rural areas who are or may not be engaged in rudimentary agriculture. This prototype measure several weather data: temperature, relative humidity, wind speed, wind direction, rainfall. For further data analysis, these are transmitted for recording to a remote server via wireless communication. The server offers data extraction possibilities in multiple file formats. A prototyping of the personal weather station is designed and commissioned. An extract of the results over two days is

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Lascano, Robert J., Timothy S. Goebel, Dennis C. Gitz III, and John E. Stout. "Evaluation of a Wireless Solar Powered Personal Weather Station." Agricultural Sciences 15, no. 01 (2024): 36–53. http://dx.doi.org/10.4236/as.2024.151003.

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Hahn, Claudia, Irene Garcia-Marti, Jacqueline Sugier, et al. "Observations from Personal Weather Stations—EUMETNET Interests and Experience." Climate 10, no. 12 (2022): 192. http://dx.doi.org/10.3390/cli10120192.

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The number of people owning a private weather station (PWS) and sharing their meteorological measurements online is growing worldwide. This leads to an unprecedented high density of weather observations, which could help monitor and understand small-scale weather phenomena. However, good data quality cannot be assured and thorough quality control is crucial before the data can be utilized. Nevertheless, this type of data can potentially be used to supplement conventional weather station networks operated by National Meteorological & Hydrological Services (NMHS), since the demand for high-r

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Taylor, Jonathon, Charles H. Simpson, Jaana Vanhatalo, Hasan Sohail, Oscar Brousse, and Clare Heaviside. "Analysing cold-climate urban heat islands using personal weather station data." Buildings and Cities 6, no. 1 (2025): 182–200. https://doi.org/10.5334/bc.528.

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Giazzi, Marco, Gianandrea Peressutti, Luca Cerri, et al. "Meteonetwork: An Open Crowdsourced Weather Data System." Atmosphere 13, no. 6 (2022): 928. http://dx.doi.org/10.3390/atmos13060928.

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Citizen science has shown great potential for bringing large groups of people closer to science, thanks in part to cooperation with universities and research centers. In this context, amateur weather networks played a major role in the last few decades thanks to a constant growth in technology. An example is given by the Meteonetwork association, born in 2002, and mainly composed by atmospheric science enthusiasts, who built up in time a huge weather station network in Italy. In recent years, they have enlarged their horizons over Europe, displaying real time observations and daily maps coming

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Zavattaro, Staci M., and Kelly A. Stevens. "Broadcast Meteorologists and Personal Branding: An Exploratory Study after a Hurricane Crisis." Weather, Climate, and Society 14, no. 2 (2022): 611–20. http://dx.doi.org/10.1175/wcas-d-21-0139.1.

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Abstract Television station and on-air talent marketing and branding has been studied with increasing attention because there is recognition that the people are part of an overall brand strategy. In this paper, we focus on broadcast meteorologists and their views of their personal brands and how those work to engage audiences. With Hurricane Dorian in 2019 as the background major weather event, the paper focuses on how on-air meteorologists develop their brand identities. From these interviews, we find 1) personal branding to build trust is paramount, 2) social media are game changers for pers

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Bárdossy, András, Jochen Seidel, and Abbas El Hachem. "The use of personal weather station observations to improve precipitation estimation and interpolation." Hydrology and Earth System Sciences 25, no. 2 (2021): 583–601. http://dx.doi.org/10.5194/hess-25-583-2021.

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Abstract. The number of personal weather stations (PWSs) with data available through the internet is increasing gradually in many parts of the world. The purpose of this study is to investigate the applicability of these data for the spatial interpolation of precipitation using a novel approach based on indicator correlations and rank statistics. Due to unknown errors and biases of the observations, rainfall amounts from the PWS network are not considered directly. Instead, it is assumed that the temporal order of the ranking of these data is correct. The crucial step is to find the stations w

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Gibbons, John, Kristina Collins, David Kazdan, and Nathaniel Frissell. "Grape Version 1: First prototype of the low-cost personal space weather station receiver." HardwareX 11 (April 2022): e00289. http://dx.doi.org/10.1016/j.ohx.2022.e00289.

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Hewage, Pradeep, Ardhendu Behera, Marcello Trovati, et al. "Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station." Soft Computing 24, no. 21 (2020): 16453–82. http://dx.doi.org/10.1007/s00500-020-04954-0.

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Abstract Non-predictive or inaccurate weather forecasting can severely impact the community of users such as farmers. Numerical weather prediction models run in major weather forecasting centers with several supercomputers to solve simultaneous complex nonlinear mathematical equations. Such models provide the medium-range weather forecasts, i.e., every 6 h up to 18 h with grid length of 10–20 km. However, farmers often depend on more detailed short-to medium-range forecasts with higher-resolution regional forecasting models. Therefore, this research aims to address this by developing and evalu

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Tiransri, Loudry Achmad, Favian Dewanta, and Hilal Hudan Nuha. "Analisis Quality of Service Modul NRF24L01 pada Sistem Stasiun Cuaca Lokal." TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol 9, no. 1 (2023): 44–51. http://dx.doi.org/10.15575/telka.v9n1.44-51.

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Internet of Things sering dimanfaatkan untuk menggantikan pekerjaan manusia secara otomatis, salah satu contohnya adalah sistem stasiun cuaca lokal. Stasiun cuaca lokal sering kali digunakan untuk melakukan pengamatan dan pendeteksian cuaca di kawasan rawan bencana yang belum terjangkau oleh jaringan internet. Sehingga pembuatan sistem stasiun cuaca lokal sering menggunakan modul pengiriman data secara nirkabel sebagai hub yang menghubungkan gateway jaringan dengan perangkat yang berada jauh di lapangan. Salah satu modul pengiriman secara nirkabel tersebut adalah modul NRF24L01 yang merupakan

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Demortier, Alan, Marc Mandement, Vivien Pourret, and Olivier Caumont. "Assimilation of temperature and relative humidity observations from personal weather stations in AROME-France." Natural Hazards and Earth System Sciences 25, no. 1 (2025): 429–49. https://doi.org/10.5194/nhess-25-429-2025.

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Abstract. Personal weather station (PWS) networks owned by citizens now provide near-surface observations at a spatial density unattainable with standard weather stations (SWSs) deployed by national meteorological services. This article aims to assess the benefits of assimilating PWS observations of screen-level temperature and relative humidity in the AROME-France model in the same framework of experiments carried out to assimilate PWS observations of surface pressure in a previous work. Several methods for pre-processing these observations, in addition to the usual data assimilation (DA) scr

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Mandement, Marc, and Olivier Caumont. "Contribution of personal weather stations to the observation of deep-convection features near the ground." Natural Hazards and Earth System Sciences 20, no. 1 (2020): 299–322. http://dx.doi.org/10.5194/nhess-20-299-2020.

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Abstract. The lack of observations near the surface is often cited as a limiting factor in the observation and prediction of deep convection. Recently, networks of personal weather stations (PWSs) measuring pressure, temperature and humidity in near-real time have been rapidly developing. Even if they suffer from quality issues, their high temporal resolution and their higher spatial density than standard weather station (SWS) networks have aroused interest in using them to observe deep convection. In this study, the PWS contribution to the observation of deep-convection features near the grou

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Sasirekha, S., and S. Swamynathan. "Fuzzy Rule Based Environment Monitoring System for Weather Controlled Laboratories using Arduino." International Journal of Intelligent Information Technologies 13, no. 1 (2017): 50–66. http://dx.doi.org/10.4018/ijiit.2017010103.

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Weather controlled laboratories such as blood banks, plasma centers, biomedical, research, pharmacy and healthcare always require a portable, low cost and web-based centralized wireless monitoring system. However, it has become more stringent to monitor various weather controlling devices of these laboratories in order to reduce the risk of non-compliance with accreditation requirements. In literature, it is inferred that the majority of existing event detection approaches relies only on precise value to specify event thresholds, but those values cannot adequately handle the imprecise sensor r

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Mohegh, Arash, Ronnen Levinson, Haider Taha, et al. "Observational Evidence of Neighborhood Scale Reductions in Air Temperature Associated with Increases in Roof Albedo." Climate 6, no. 4 (2018): 98. http://dx.doi.org/10.3390/cli6040098.

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The effects of neighborhood-scale land use and land cover (LULC) properties on observed air temperatures are investigated in two regions within Los Angeles County: Central Los Angeles and the San Fernando Valley (SFV). LULC properties of particular interest in this study are albedo and tree fraction. High spatial density meteorological observations are obtained from 76 personal weather-stations. Observed air temperatures were then related to the spatial mean of each LULC parameter within a 500 m radius “neighborhood” of each weather station, using robust regression for each hour of July 2015.

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Overeem, Aart, Hidde Leijnse, Gerard van der Schrier, Else van den Besselaar, Irene Garcia-Marti, and Lotte Wilhelmina de Vos. "Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates." Hydrology and Earth System Sciences 28, no. 3 (2024): 649–68. http://dx.doi.org/10.5194/hess-28-649-2024.

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Abstract. Ground-based radar precipitation products typically need adjustment with rain gauge accumulations to achieve a reasonable accuracy. This is certainly the case for the pan-European radar precipitation products. The density of (near) real-time rain gauge accumulations from official networks is often relatively low. Crowdsourced rain gauge networks have a much higher density than conventional ones and are a potentially interesting (complementary) source to merge with radar precipitation accumulations. Here, a 1-year personal weather station (PWS) rain gauge dataset of ∼ 5 min accumulati

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Danilovich, Margaret, Aura Espinoza, and Christie Norrick. "Weather, Built Environment, or Personal Factors: Predictors of Walking by Independent Living Residents With Frailty." Innovation in Aging 5, Supplement_1 (2021): 447–48. http://dx.doi.org/10.1093/geroni/igab046.1734.

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Abstract Environmental factors influence older adult physical activity. However, the evidence about which factors lead to increased physical activity is mixed and few have studied how these factors affect those with frailty or living in retirement communities. This study investigated how environmental and weather factors influence physical activity among pre-frail and frail older adults residing in independent living retirement communities. We used ActivPal accelerometers to measure 7-day step counts among (n=108) pre-frail and frail residents in 9 independent living residences in metropolitan

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Marquès, Eva, Valéry Masson, Philippe Naveau, Olivier Mestre, Vincent Dubreuil, and Yves Richard. "Urban Heat Island Estimation from Crowdsensing Thermometers Embedded in Personal Cars." Bulletin of the American Meteorological Society 103, no. 4 (2022): E1098—E1113. http://dx.doi.org/10.1175/bams-d-21-0174.1.

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Abstract An ever-growing portion of the global population lives in urban areas. Cities are expanding quickly and consequently, the urban heat island effect has become a major health concern to maintain city dwellers’ thermal comfort. For this reason, city planners want to access urban meteorological databases in local areas where specific attention is needed. With the growth of connected devices, it is possible to collect unusual but massive temperature measurements from people’s activities. In this article, we study temperatures measured by thermometers embedded in everyday personal cars. To

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Fatoni, Arrizal R., Ahmad Bahtiar, Nurzaka Faridatussafura, Ady Hermanto, and MFN Aulady. "The Application of PPE at the Juanda Meteorological Station (BMKG)." Journal of Civil Engineering, Planning and Design 2, no. 2 (2024): 53–59. http://dx.doi.org/10.31284/j.jcepd.2023.v2i2.4659.

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The application of Personal Protective Equipment (PPE) at the Meteorology, Climatology, and Geophysics Agency (BMKG) is an important step in maintaining employees’ safety and health in their work environment. Even though BMKG is not involved in heavy industrial activities, there are still potential hazards and risks that need to be addressed in carrying out meteorological, climatological, and geophysical tasks. This study aims to describe the importance of implementing PPE in the BMKG environment, especially the Aviation Meteorological Station, where we took a case study at the Juanda Meteorol

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Chougule, Prof Sadhana. "Air Quality Monitoring with Speech Announcements." International Journal for Research in Applied Science and Engineering Technology 11, no. 12 (2023): 340–45. http://dx.doi.org/10.22214/ijraset.2023.56651.

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Abstract: In this project, we design and develop an advanced weather station system using an ESP32 microcontroller, temperature sensor, humidity sensor, and air quality sensor. The primary objectives of this project are data collection, visualization, and auditory feedback. The ESP32 microcontroller acts as the central processing unit and connects to the internet via Wi-Fi to transmit real-time sensor data to an IoT platform. This platform stores and manages the data, making it accessible from anywhere with an internet connection. Users can monitor temperature, humidity, and air quality remote

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Collins, Kristina, John Gibbons, Nathaniel Frissell, et al. "Crowdsourced Doppler measurements of time standard stations demonstrating ionospheric variability." Earth System Science Data 15, no. 3 (2023): 1403–18. http://dx.doi.org/10.5194/essd-15-1403-2023.

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Abstract. Ionospheric variability produces measurable effects in Doppler shift of HF (high-frequency, 3–30 MHz) skywave signals. These effects are straightforward to measure with low-cost equipment and are conducive to citizen science campaigns. The low-cost Personal Space Weather Station (PSWS) network is a modular network of community-maintained, open-source receivers, which measure Doppler shift in the precise carrier signals of time standard stations. The primary goal of this paper is to explain the types of measurements this instrument can make and some of its use cases, demonstrating its

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Dąbrowska, Anna, Monika Kobus, Piotr Sowiński, Łukasz Starzak, and Bartosz Pękosławski. "Integration of Active Clothing with a Personal Cooling System within the NGIoT Architecture for the Improved Comfort of Construction Workers." Applied Sciences 14, no. 2 (2024): 586. http://dx.doi.org/10.3390/app14020586.

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Intense physical activity and high ambient temperature cause construction workers to be exposed to an increased risk of overheating, especially in the summer season. Personal cooling systems have great potential to support workers’ thermoregulation and reduce this risk. In particular, solutions based on the thermoelectric effect can provide high cooling effectiveness and ergonomics at the same time. In this paper, a newly developed active clothing solution with flexible thermoelectric modules intended for outdoor activities is presented. The active clothing was subjected to utility tests on a

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Bedrina, T., A. Parodi, A. Quarati, and A. Clematis. "ICT approaches to integrating institutional and non-institutional data services for better understanding of hydro-meteorological phenomena." Natural Hazards and Earth System Sciences 12, no. 6 (2012): 1961–68. http://dx.doi.org/10.5194/nhess-12-1961-2012.

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Abstract. It is widely recognised that an effective exploitation of Information and Communication Technologies (ICT) is an enabling factor to achieve major advancements in Hydro-Meteorological Research (HMR). Recently, a lot of attention has been devoted to the use of ICT in HMR activities, e.g. in order to facilitate data exchange and integration, to improve computational capabilities and consequently model resolution and quality. Nowadays, ICT technologies have demonstrated that it is possible to extend monitoring networks by integrating sensors and other sources of data managed by volunteer

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Palo, Donna Mabell B. "Predicting Suicide Incidence in the Philippines Using Random Forest Algorithm." Journal of Psychology and Political Science, no. 45 (September 25, 2024): 27–39. http://dx.doi.org/10.55529/jpps.45.27.39.

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This study determined the trend of suicide in the Philippines and identified which national indicators are possible predictors of suicide incidences. The indicators considered were a mix of objective and subjective indicators. The objective indicators consisted of Real GDP Per Capita, Unemployment Rate, and Volume of Crime while the subjective ones were Perceived Political Instability, Self-Rated Poverty, and Net Personal Optimism Scores. Data were drawn from World Bank Open Data, and records of Philippine Statistics Authority, Philippine National Police, and Social Weather Station. From 2006

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Barbano, Francesco, Erika Brattich, Carlo Cintolesi, et al. "Performance evaluation of MeteoTracker mobile sensor for outdoor applications." Atmospheric Measurement Techniques 17 (May 29, 2024): 3255–78. https://doi.org/10.5194/amt-17-3255-2024.

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The present study addresses the performance of a commercial mobile sensor, the MeteoTracker (IoTopon Srl), recently launched on the market to quantify the microclimatic characteristics of the outdoor environment.The sensor follows the philosophy of the Internet of Things technology, being low cost, having an automaticdata flow via personal smartphones and online data sharing, supporting user-friendly software, and having the potential to be deployed in large quantities. In this paper, the outdoor performance is evaluated through tests aimed at quantifying (i) the

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Naik, Akshaya V. "A Cross Sectional Study of Occupational Hazards among Petrol Pump Attendants of Panjim City in Goa." International Journal of Preventive, Curative & Community Medicine 06, no. 01 (2020): 15–19. http://dx.doi.org/10.24321/2454.325x.202002.

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Introduction: Occupational hazards are the risks to life or functioning of an individual that is inherently associated with his occupation or working environment which can have deleterious effect on the individual’s health and his working efficiency. Petrol pump attendants are one such category of workers who are constantly exposed to various hazards at their workplace. Methodology: A cross sectional study was conducted from November- December 2018 among 7 petrol pumps located in the Panjim city. Census method was used for sampling. Ethical approval was obtained from the Institutional Ethics C

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Li, Rumeng, Qinghong Zhang, Juanzhen Sun, Yun Chen, Lili Ding, and Tian Wang. "Smartphone pressure data: quality control and impact on atmospheric analysis." Atmospheric Measurement Techniques 14, no. 2 (2021): 785–801. http://dx.doi.org/10.5194/amt-14-785-2021.

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Abstract. Smartphones are increasingly being equipped with atmospheric measurement sensors providing huge auxiliary resources for global observations. Although China has the highest number of cell phone users, there is little research on whether these measurements provide useful information for atmospheric research. Here, for the first time, we present the global spatial and temporal variation in smartphone pressure measurements collected in 2016 from the Moji Weather app. The data have an irregular spatiotemporal distribution with a high density in urban areas, a maximum in summer and two dai

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Hartin, Janet S., David W. Fujino, Lorence R. Oki, S. Karrie Reid, Charles A. Ingels, and Darren Haver. "Water Requirements of Landscape Plants Studies Conducted by the University of California Researchers." HortTechnology 28, no. 4 (2018): 422–26. http://dx.doi.org/10.21273/horttech04037-18.

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University of California (UC) researchers have been involved in research and extension pertaining to measuring evapotranspiration (ET) rates and determining the minimum irrigation requirements of landscape plants for more than 30 years. Early work included the design and implementation of the California Irrigation Management Information System (CIMIS) weather station network and determining crop coefficients for warm and cool season turfgrasses based on historical ET and CIMIS data. Other researchers determined the minimum irrigation requirements for several species of established landscape tr

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Butler, Michael K. "Personal weather stations and sharing weather data via the Internet." Weather 74, no. 1 (2018): 22–29. http://dx.doi.org/10.1002/wea.3206.

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Mamadiyarov, Marat, Nurlybek Abdimutalip, Saken Kurbaniyazov, and Gulshat Shalabayeva. "TRAINING STUDENTS IN THE METHODOLOGY OF CONDUCTING ECOLOGICAL AND CLIMATOLOGICAL RESEARCH IN THE PROCESS OF LEARNING." 3i intellect idea innovation - интеллект идея инновация 4 (2023): 122–32. http://dx.doi.org/10.52269/22266070_2023_4_122.

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This article presents the research works of fourth-year students of the educational program 6B01514-Geography on acquiring the necessary competencies and skills during the learning process by developing a project with an analysis of local climatological features and environmental factors using the Sokol-1M small weather station. The objective of this paper is to shape students' understanding and knowledge regarding the distinct characteristics and primary features of ecological and climatological factors in the region under study. It also emphasizes teaching analytical, synthetic, and summariz

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Liu, Yong-He, and Zong-Liang Yang. "NMH-CS 3.0: a C# programming language and Windows-system-based ecohydrological model derived from Noah-MP." Geoscientific Model Development 18, no. 10 (2025): 3157–74. https://doi.org/10.5194/gmd-18-3157-2025.

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Abstract. The community Noah with multi-parameterization options (Noah-MP) land surface model (LSM) is widely used in studies ranging from uncoupled land surface hydrometeorology and ecohydrology to coupled weather and climate predictions. In this study, we developed NMH-CS 3.0, a hydrological model written in C# (pronounced C sharp). NMH-CS 3.0 is a new model developed by faithfully translating Noah-MP, written in Fortran, from the uncoupled WRF-Hydro 3.0, and it is coupled with a river routing model. NMH-CS has the capacity to be executed on Windows systems, utilizing the multi-core CPUs com

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de Vos, L. W., A. M. Droste, M. J. Zander, et al. "Hydrometeorological Monitoring Using Opportunistic Sensing Networks in the Amsterdam Metropolitan Area." Bulletin of the American Meteorological Society 101, no. 2 (2020): E167—E185. http://dx.doi.org/10.1175/bams-d-19-0091.1.

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Abstract The ongoing urbanization and climate change urges further understanding and monitoring of weather in cities. Two case studies during a 17-day period over the Amsterdam metropolitan area, the Netherlands, are used to illustrate the potential and limitations of hydrometeorological monitoring using nontraditional and opportunistic sensors. We employ three types of opportunistic sensing networks to monitor six important environmental variables: 1) air temperature estimates from smartphone batteries and personal weather stations, 2) rainfall from commercial microwave links and personal wea

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Ma, Xinwei, Yurui Yin, Yuchuan Jin, Mingjia He, and Minqing Zhu. "Short-Term Prediction of Bike-Sharing Demand Using Multi-Source Data: A Spatial-Temporal Graph Attentional LSTM Approach." Applied Sciences 12, no. 3 (2022): 1161. http://dx.doi.org/10.3390/app12031161.

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As a convenient, economical, and eco-friendly travel mode, bike-sharing greatly improved urban mobility. However, it is often very difficult to achieve a balanced utilization of shared bikes due to the asymmetric spatio-temporal user demand distribution and the insufficient numbers of shared bikes, docks, or parking areas. If we can predict the short-run bike-sharing demand, it will help operating agencies rebalance bike-sharing systems in a timely and efficient way. Compared to the statistical methods, deep learning methods can automatically learn the relationship between the inputs and outpu

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Gaumont, Damien F. "Thermal comfort during emergency transport by ambulance services." International Paramedic Practice 12, no. 3 (2022): 65–72. http://dx.doi.org/10.12968/ippr.2022.12.3.65.

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Background: Cold is an unpleasant sensation and is linked to increased anxiety, pain and risk of hypothermia. A question was developed to test the authors' hypothesis that patients would feel cold while being transported to an Irish emergency department (ED) by the Ambulance Service (NAS). Method: A survey of a convenience sample of 96 respondents was undertaken, for 77 consecutive hours in March 2020 at University Hospital Limerick's ED. During that period, the NAS transported 163 patients to the ED. A seven-point Likert satisfaction rating scale was used to assess perception. Taking this in

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Vos, Lotte Wilhelmina, Hidde Leijnse, Aart Overeem, and Remko Uijlenhoet. "Quality Control for Crowdsourced Personal Weather Stations to Enable Operational Rainfall Monitoring." Geophysical Research Letters 46, no. 15 (2019): 8820–29. http://dx.doi.org/10.1029/2019gl083731.

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Demortier, Alan, Marc Mandement, Vivien Pourret, and Olivier Caumont. "Assimilation of surface pressure observations from personal weather stations in AROME-France." Natural Hazards and Earth System Sciences 24, no. 3 (2024): 907–27. http://dx.doi.org/10.5194/nhess-24-907-2024.

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Abstract. Spatially dense surface pressure observations from personal weather stations (PWSs) are able to describe pressure patterns at the surface, such as those associated with convective events, in more detail than with standard weather stations (SWSs) only. In this study, the benefit of assimilating PWS observations with the 3DVar and the 3DEnVar data assimilation schemes of the AROME-France model is evaluated over a 1-month period and during a heavy precipitation event in the South of France. Observations of surface pressure from PWSs are bias-corrected, quality-controlled, and thinned wi

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Calovi, Martina, Weiming Hu, Guido Cervone, and Luca Delle Monache. "NAM-NMM Temperature Downscaling Using Personal Weather Stations to Study Urban Heat Hazards." GeoHazards 2, no. 3 (2021): 257–76. http://dx.doi.org/10.3390/geohazards2030014.

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Rising temperatures worldwide pose an existential threat to people, properties, and the environment. Urban areas are particularly vulnerable to temperature increases due to the heat island effect, which amplifies local heating. Throughout the world, several megacities experience summer temperatures that stress human survival. Generating very high-resolution temperature forecasts is a fundamental problem to mitigate the effects of urban warming. This paper uses the Analog Ensemble technique to downscale existing temperature forecast from a low resolution to a much higher resolution using privat

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Barbano, Francesco, Erika Brattich, Carlo Cintolesi, et al. "Performance evaluation of MeteoTracker mobile sensor for outdoor applications." Atmospheric Measurement Techniques 17, no. 10 (2024): 3255–78. http://dx.doi.org/10.5194/amt-17-3255-2024.

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Abstract. The morphological complexity of urban environments results in a high spatial and temporal variability of the urban microclimate. The consequent demand for high-resolution atmospheric data remains a challenge for atmospheric research and operational application. The recent widespread availability and increasing adoption of low-cost mobile sensing offer the opportunity to integrate observations from conventional monitoring networks with microclimatic and air pollution data at a finer spatial and temporal scale. So far, the relatively low quality of the measurements and outdoor performa

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López Lorente, Javier, Xueqin Liu, and David John Morrow. "Worldwide evaluation and correction of irradiance measurements from personal weather stations under all-sky conditions." Solar Energy 207 (September 2020): 925–36. http://dx.doi.org/10.1016/j.solener.2020.06.073.

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Caumont, Olivier, Marc Mandement, François Bouttier, et al. "The heavy precipitation event of 14–15 October 2018 in the Aude catchment: a meteorological study based on operational numerical weather prediction systems and standard and personal observations." Natural Hazards and Earth System Sciences 21, no. 3 (2021): 1135–57. http://dx.doi.org/10.5194/nhess-21-1135-2021.

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Abstract. The case of the heavy precipitation event on 14 and 15 October 2018 which has led to severe flash flooding in the Aude watershed in south-western France is studied from a meteorological point of view using deterministic and probabilistic numerical weather prediction systems, as well as a unique combination of observations from both standard and personal weather stations. This case features typical characteristics of Mediterranean heavy precipitation events such as its classic synoptic situation and its quasi-stationary convective precipitation that regenerates continuously, as well a

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Vuckovic, Milena, and Johanna Schmidt. "On the Importance of Data Quality Assessment of Crowdsourced Meteorological Data." Sustainability 15, no. 8 (2023): 6941. http://dx.doi.org/10.3390/su15086941.

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This study reflects on the quality aspects of urban meteorological time series obtained by crowdsourcing, specifically the air temperature and humidity data originating from personal weather stations (PWS) and the related implications for empirical and numerical research. A number of year-long hourly-based PWS data were obtained and compared to the data from the authoritative weather stations for selected areas in the city of Vienna, Austria. The results revealed a substantial amount of erroneous occurrences, ranging from singular and sequential data gaps to prevalent faulty signals in the rec

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El Hachem, Abbas, Jochen Seidel, Tess O'Hara, et al. "Technical note: A guide to using three open-source quality control algorithms for rainfall data from personal weather stations." Hydrology and Earth System Sciences 28, no. 20 (2024): 4715–31. http://dx.doi.org/10.5194/hess-28-4715-2024.

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Abstract. The number of rainfall observations from personal weather stations (PWSs) has increased significantly over the past years; however, there are persistent questions about data quality. In this paper, we reflect on three quality control algorithms (PWSQC, PWS-pyQC, and GSDR-QC) designed for the quality control (QC) of rainfall data. Technical and operational guidelines are provided to help interested users in finding the most appropriate QC to apply for their use case. All three algorithms can be accessed within the OpenSense sandbox where users can run the code. The results show that a

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Chen, Zhenwei, Yang Lu, Zusong Li, and Xiancun Zhou. "Task Grid-Based Urban Environmental Information Release Mechanism for Mobile Crowd Sensing." Journal of Electrical and Computer Engineering 2022 (September 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/1738660.

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With the increased awareness of environmental protection, people have higher requirements for the accuracy of environmental information of surrounding life. The current monitoring of urban environmental information mainly comes from local environmental weather stations. Although the monitoring equipment of environmental weather stations is better than personal monitoring equipment, the monitoring equipment of weather monitoring stations is too expensive and only suitable for large-scale coarse-grained monitoring. Because the environmental information of a city is affected by factors such as la

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Malozyomov, Boris V., Nikita V. Martyushev, Svetlana N. Sorokova, Egor A. Efremenkov, Denis V. Valuev, and Mengxu Qi. "Analysis of a Predictive Mathematical Model of Weather Changes Based on Neural Networks." Mathematics 12, no. 3 (2024): 480. http://dx.doi.org/10.3390/math12030480.

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In this paper, we investigate mathematical models of meteorological forecasting based on the work of neural networks, which allow us to calculate presumptive meteorological parameters of the desired location on the basis of previous meteorological data. A new method of grouping neural networks to obtain a more accurate output result is proposed. An algorithm is presented, based on which the most accurate meteorological forecast was obtained based on the results of the study. This algorithm can be used in a wide range of situations, such as obtaining data for the operation of equipment in a giv

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de Vos, Lotte, Hidde Leijnse, Aart Overeem, and Remko Uijlenhoet. "The potential of urban rainfall monitoring with crowdsourced automatic weather stations in Amsterdam." Hydrology and Earth System Sciences 21, no. 2 (2017): 765–77. http://dx.doi.org/10.5194/hess-21-765-2017.

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Abstract. The high density of built-up areas and resulting imperviousness of the land surface makes urban areas vulnerable to extreme rainfall, which can lead to considerable damage. In order to design and manage cities to be able to deal with the growing number of extreme rainfall events, rainfall data are required at higher temporal and spatial resolutions than those needed for rural catchments. However, the density of operational rainfall monitoring networks managed by local or national authorities is typically low in urban areas. A growing number of automatic personal weather stations (PWS

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Herdt, Alexandria, Robert Brown, Ian Scott-Fleming, et al. "Outdoor Thermal Comfort during Anomalous Heat at the 2015 Pan American Games in Toronto, Canada." Atmosphere 9, no. 8 (2018): 321. http://dx.doi.org/10.3390/atmos9080321.

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Mass sporting events in the summertime are influenced by underlying weather patterns, with high temperatures posing a risk for spectators and athletes alike. To better understand weather variations in the Greater Toronto Area (GTA) during the Pan American Games in 2015 (PA15 Games), Environment and Climate Change Canada deployed a mesoscale monitoring network system of 53 weather stations. Spatial maps across the GTA demonstrate large variations by heat metric (e.g., maximum temperature, humidex, and wet bulb globe temperature), identifying Hamilton, Ontario as an area of elevated heat and hum

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Barbazyuk, E., and P. Velmovsky. "Long-term changes in qualitative composition of the Buzuluk Pine Forest avifauna (Orenburg Province area) based on retrospective and present-time observations." Proceedings of the Zoological Institute RAS 328, no. 1 (2024): 3–19. http://dx.doi.org/10.31610/trudyzin/2024.328.1.3.

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We conducted a comparative analysis of qualitative composition of the Buzuluk Pine Forest avifauna, mainly based on data collected by ornithologist E.P. Knorre for the period 1928–1941, and modern observations done between 2000 and the present. Retrospective data were obtained from the now-defunct Buzuluk Bor Reserve with an area of 10 503 hectares (now Borovoye-Opytnoe Forestry in the Orenburg Province). Present-time personal avifaunistic observations (using standard methods with referring to literature sources) were carried out on an area of 49 000 hectares, both in Borovoye-Opytnoe and in s

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Breen, Michael, Catherine Seppanen, Vlad Isakov, et al. "Development of TracMyAir Smartphone Application for Modeling Exposures to Ambient PM2.5 and Ozone." International Journal of Environmental Research and Public Health 16, no. 18 (2019): 3468. http://dx.doi.org/10.3390/ijerph16183468.

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Air pollution epidemiology studies of ambient fine particulate matter (PM2.5) and ozone (O3) often use outdoor concentrations as exposure surrogates. Failure to account for the variability of the indoor infiltration of ambient PM2.5 and O3, and time indoors, can induce exposure errors. We developed an exposure model called TracMyAir, which is an iPhone application (“app”) that determines seven tiers of individual-level exposure metrics in real-time for ambient PM2.5 and O3 using outdoor concentrations, weather, home building characteristics, time-locations, and time-activities. We linked a mec

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Kassem, Nour, Perla Boutros, Daniel Kwaro, et al. "Wearable device monitoring of HIV health in the face of climate change and weather exposures: protocol for a mixed-methods study." BMJ Open 15, no. 6 (2025): e092307. https://doi.org/10.1136/bmjopen-2024-092307.

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IntroductionClimate change and HIV are interconnected epidemics that increase vulnerability in people living with HIV (PLWH), particularly in sub-Saharan Africa. Despite their public health significance, research on the synergistic effects of these epidemics on the health of PLWH is limited. The advancement of non-invasive wearable technology offers an opportunity to leverage objective health data for large-scale research, addressing this knowledge gap. This study will examine the impact of weather events on distinct health variables of PLWH within the Siaya Health and Demographic Surveillance

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Mizzell, Hope, Mark Malsick, and Wes Tyler. "The Historic South Carolina Rainfall and Major Floods of October 1-5, 2015." Journal of South Carolina Water Resources, no. 3 (June 1, 2016): 3–7. http://dx.doi.org/10.34068/jscwr.03.01.

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A record setting and historic rainfall event occurred October 1-5, 2015, producing widespread and significant flooding across much of South Carolina. The rainfall resulted from several atmospheric and hydrometeorological factors. The record rainfall triggered flash floods and riverine flooding that resulted in emergency evacuations, travel disruptions, personal property damage, business losses, bridge collapses, dam failures and tragic loss of life. Precipitation records were broken from the midlands to the coast, with totals ranging from 10 to over 26 inches of rain. Sixteen National Weather

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Ośródka, Katarzyna, Jan Szturc, Anna Jurczyk, and Agnieszka Kurcz. "Adaptation of RainGaugeQC algorithms for quality control of rain gauge data from professional and non-professional measurement networks." Atmospheric Measurement Techniques 18, no. 13 (2025): 3229–45. https://doi.org/10.5194/amt-18-3229-2025.

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Abstract. Rain gauge measurements are one of the primary techniques used to estimate a precipitation field, but they require careful quality control. This paper describes a modified RainGaugeQC system, which is applied to real-time quality control of rain gauge measurements made every 10 min. This system works operationally at the national meteorological and hydrological service in Poland. The RainGaugeQC algorithms, which have been significantly modified, are described in detail. The modifications were made primarily to control data from non-professional measurement networks, which may be of

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