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Relevant bibliographies by topics / Weather monitoring system

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Academic literature on the topic 'Weather monitoring system'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Weather monitoring system"

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Bhagat, Anita M., Ashwini G. Thakare, and Kajal A. Molke Neha S. Muneshwar Prof V. Choudhary. "IOT Based Weather Monitoring and Reporting System Project." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (2019): 365–67. http://dx.doi.org/10.31142/ijtsrd21677.

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Bhosale, A.K., Bramhadev Dashrath Yewale, Indrajiat Jalindar Gondavle, Pramod Pandurang Ghadage, Dattaraj Devidas Kadlasakar, and Sahil Innus Patil. "Smart Weather Monitoring System." Journal of Advancement in Communication System 7, no. 1 (2024): 25–29. https://doi.org/10.5281/zenodo.10795868.

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<em>The system presented in this paper is an advanced, useful and beneficial solution for monitoring weather conditions at specific locations to establish information anywhere in the world. The technology used behind this is internet of things. IOT is an advanced efficient and important solution to connect things to the internet and network the entire world of things. This can include most electronic devices such as electronic gadgets, sensors, automotive electronic etc. system monitor and control environmental conditions like temperature, humidity and CO levels through sensors and send all th

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Myat Nwe, Chaw, and Zaw Min Min Htun. "A Smart Weather Monitoring System Using Internet of Things." International Journal of Scientific Engineering and Research 6, no. 7 (2018): 26–29. https://doi.org/10.70729/ijser172702.

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Ramesh, Parameswaran, N. Vidhya, P. T. V. Bhuvaneswari, and Shabana Parveen. "I-SOEWM: IoT Based Solar Energized Weather Monitoring System." Indian Journal Of Science And Technology 16, no. 20 (2023): 1505–15. http://dx.doi.org/10.17485/ijst/v16i20.287.

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Kiran Kumar C H, Prathap Varma P, Bharath Kumar D, Dhanya Syamala P, Aswini S, and Madhan Mohan Reddy Z. "Arduino based weather monitoring system." South Asian Journal of Engineering and Technology 12, no. 2 (2022): 19–22. http://dx.doi.org/10.26524/sajet.2022.12.25.

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   Weather gives a clear idea about the atmosphere around us. It is mainly defined by the temperature and moisture present in air. The project now proposed was based on the ideology of using both science and technology on same platform to yield our desired output that is to properly monitor weather conditions without any errors. Now- a- weather monitoring stations are widely used to predict day-to-day weather. But this is on large scale. So, we are going to propose a mini weather monitoring system that is used in home or in small business areas.  

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Phutane, R. Varun. "IoT: Based Weather Monitoring System." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 1695–99. http://dx.doi.org/10.22214/ijraset.2022.45446.

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Abstract: The Weather Monitoring System using the IoT is one such application of IoT that has paved the way for organizations to create new and efficient solutions. Because of the rapidly changing climate, the weather forecast is uncertain and inaccurate these days. The IoT based Weather Monitoring system features to monitor temperature and humidity level, Barometric pressure, light intensity, air quality and rainfall. The required hardware includes Raspberry Pi, Arduino Mega, DHT11, Light intensity sensor BH1750, MQ-135, BME-280, and raindrop sensor.. All the above sensors are used to measure

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Bhagyashree, Kulkarni, Pawar Rutuja, Dosani Jenil, and Chaugule Archana. "IoT based Weather Monitoring System." International Journal of Innovative Science and Research Technology 7, no. 4 (2022): 1169–74. https://doi.org/10.5281/zenodo.6563593.

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The model proposed in our project is an innovative method for tracking the climatic conditions for a specific place. IoT " Internet of Things" is the concept that’s being used here, It’sa innovative & effective way to link to the internet and join the entire universe of things on the network. In today’s world IoE or Internet of Everything is ruling almost all industries. IoE provide solutions to various real life problems using wireless devices and by transferring the data over the network wirelessly. It has now become possible to merge the concept of Iot with o

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B, Samyuktha, Subashri M, Sushmitha V, Saabika Roshni S, Thiriloksha S, and Sakshi R. "Cloud Based Weather Monitoring System." Journal of Communication and Biomedical Engineering with Computer Applications 1, no. 2 (2024): 58–67. https://doi.org/10.63252/jcbeca/1.2.2024.58-67.

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Sharma, Puja, and Shiva Prakash. "Real Time Weather Monitoring System Using Iot." ITM Web of Conferences 40 (2021): 01006. http://dx.doi.org/10.1051/itmconf/20214001006.

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In Today’s World, knowing live environmental condition is one of the biggest issues because there is an IoT of hurdles arrives when live environmental condition is measured. The proposed system will remove this problem since it monitors real-time weather conditions. In this proposed work we will monitor the live weather’s parameter of the Gorakhpur Region. The proposed system will work on the client-server architecture model using IoT. The system is organized in Two-tier Architecture. Our proposed system contains a various sensor which will monitor the temperature of the region, humidity, Rain

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Sutar, Kirankumar. "LOW COST WIRELESS WEATHER MONITORING SYSTEM." International Journal of Engineering Technologies and Management Research 1, no. 1 (2020): 35–39. http://dx.doi.org/10.29121/ijetmr.v1.i1.2015.24.

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Weather monitoring holds great importance and have uses in several areas ranging from keeping track of agricultural field weather conditions to industrial conditions monitoring. Weather monitoring plays an important role in human life, so the collection of information about weather changes is very important. This paper describes a weather monitoring system which enables the monitoring of weather parameters like Temperature, Humidity and Light intensity. Sensor module includes the sensors like temperature, humidity and light sensor. The system is developed using ZigBee wireless module. The meas

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Dissertations / Theses on the topic "Weather monitoring system"

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Deb, Biswarup. "Continued Weather Monitoring System For The Veterans' Glass City Skyway." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406880643.

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Korrapati, Sudhamsh. "Design and Development of Weather Monitoring System for the Port Mann Bridge." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1562842819492322.

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Gnanasekar, Nithyakumaran. "Temperature and Hourly Precipitation Prediction System for Road Bridge using Artificial Neural Networks." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448873819.

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Axelsson, Tobias. "Using supervised learning algorithms to model the behavior of Road Weather Information System sensors." Thesis, Luleå tekniska universitet, Datavetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-69972.

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Trafikverket, the agency in charge of state road maintenance in Sweden, have a number of so-called Road Weather Information Systems (RWIS). The main purpose of the stations is to provide winter road maintenance workers with information to decide when roads need to be plowed and/or salted. Each RWIS have a number of sensors which make road weather-related measurements every 30 minutes. One of the sensors is dug into the road which can cause traffic disturbances and be costly for Trafikverket. Other RWIS sensors fail occasionally. This project aims at modelling a set of RWIS sensors using super

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Cheng, Danling. "Integrated System Model Reliability Evaluation and Prediction for Electrical Power Systems: Graph Trace Analysis Based Solutions." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/28944.

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A new approach to the evaluation of the reliability of electrical systems is presented. In this approach a Graph Trace Analysis based approach is applied to integrated system models and reliability analysis. The analysis zones are extended from the traditional power system functional zones. The systems are modeled using containers with iterators, where the iterators manage graph edges and are used to process through the topology of the graph. The analysis provides a means of computationally handling dependent outages and cascading failures. The effects of adverse weather, time-varying loads,

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Pecoraro, Gaetano. "Monitoring strategies and warning models for weather-induced landslides." Doctoral thesis, Universita degli studi di Salerno, 2019. http://elea.unisa.it:8080/xmlui/handle/10556/4284.

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2017 - 2018<br>Weather induced landslides cause a large number of casualties as well as severe economic losses worldwide every year. Such a diffuse risk cannot be mitigated only by means of structural works, typically characterized by significant economic and environment al impacts. Therefore, landslide early warning systems (LEWS) are being increasingly applied as non structural mitigation measures aiming at reducing the loss of life probability and other adverse consequences from landslide events by prompting people to a ct appropriately and in sufficient time to reduce the

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Dean, Timothy J. Physical Environmental &amp Mathematical Sciences Australian Defence Force Academy UNSW. "Development and evaluation of automated radar systems for monitoring and characterising echoes from insect targets." Awarded by:University of New South Wales - Australian Defence Force Academy. School of Physical, Environmental and Mathematical Sciences, 2007. http://handle.unsw.edu.au/1959.4/38667.

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This thesis describes the construction of a mobile Insect Monitoring Radars (IMR) and investigations of: the reliability of IMRs for observing insect migration in inland Australia; possible biases in IMR migration estimates; the relation between an insect???s size and its radar properties; radar discrimination between insect species; the effect of weather on the migrations of Australian plague locusts and of moths; the scale of these migrations; and here IMRs are best located. The principles of entomological radar design, and the main features of insect migration in inland Australia, are revie

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NOTARANGELO, NICLA MARIA. "A Deep Learning approach for monitoring severe rainfall in urban catchments using consumer cameras. Models development and deployment on a case study in Matera (Italy) Un approccio basato sul Deep Learning per monitorare le piogge intense nei bacini urbani utilizzando fotocamere generiche. Sviluppo e implementazione di modelli su un caso di studio a Matera (Italia)." Doctoral thesis, Università degli studi della Basilicata, 2021. http://hdl.handle.net/11563/147016.

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In the last 50 years, flooding has figured as the most frequent and widespread natural disaster globally. Extreme precipitation events stemming from climate change could alter the hydro-geological regime resulting in increased flood risk. Near real-time precipitation monitoring at local scale is essential for flood risk mitigation in urban and suburban areas, due to their high vulnerability. Presently, most of the rainfall data is obtained from ground‐based measurements or remote sensing that provide limited information in terms of temporal or spatial resolution. Other problems may be due to t

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Chirmaxo, S. Styline, and Keshav Kumar Singh. "Desigin of wireless weather monitoring system." Thesis, 2013. http://ethesis.nitrkl.ac.in/4792/1/109EC0217.pdf.

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The main objective of this project is to devise a simple low cost microcontroller based weather monitoring system using wireless technology which fetches weather conditions using various sensors like temp, humidity… etc , displays it on LCD and forwards it to remote user by SMS.This project is developed by using ATMEGA-32 Microcontroller, SIM 300 GSM Module, LCD display and LM35 temperature sensor. The advantage of using GSM based technology is that GSM based communication network is widespread and have almost reached to every nook and corners of this 21st century world. GSM technology also do

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MENABENI, SIMONE. "Automatic Train Operation System for light rail and metro using a model-driven approach and Social Network Monitoring to quantify public attention on services and events." Doctoral thesis, 2016. http://hdl.handle.net/2158/1025470.

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The first part of the research was conducted within the project TRACE-IT in collaboration with ECM, with the Department of Industrial Engineering of the University of Florence and the Institute of Science and Technology of the CNR Pisa. The research project deals with the study, design, development and testing of systems of protection of the train running (Automatic Train Protection, or ATC Automatic Train Control, ATC) of railway vehicles that use leading edge technologies and are applicable both in the context of interoperable European Rail System and in applications of light rail and metro.

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Books on the topic "Weather monitoring system"

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Bank, World, and Instytut Meteorologii i Gospodarki Wodnej., eds. The hydrological and meteorological monitoring forecasting and protection system: Flood management and hazard reduction : Emergency Flood Recovery Project, financed by the World Bank. Publishing Institute, 1999.

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Paulescu, Marius. Weather Modeling and Forecasting of PV Systems Operation. Springer London, 2013.

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Environmental Monitoring for Public Access and Community Tracking Program (U.S.), ed. Delivering timely air quality, traffic, and weather information to your community: The Paso del Norte Environmental Monitoring Project. U.S. Environmental Protection Agency, Office of Research and Development, National Risk Management Research Laboratory, 2003.

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Jaybhaye, Pralhad. Weather and Climate Monitoring and Prediction Systems in the Context of Agriculture. Arcler Education Inc, 2021.

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Paulescu, Marius, Eugenia Paulescu, and Paul Gravila. Weather Modeling and Forecasting of PV Systems Operation. Springer, 2012.

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Badescu, Viorel, Marius Paulescu, Eugenia Paulescu, and Paul Gravila. Weather Modeling and Forecasting of PV Systems Operation. Springer, 2012.

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Badescu, Viorel, Marius Paulescu, Eugenia Paulescu, and Paul Gravila. Weather Modeling and Forecasting of PV Systems Operation. Springer, 2014.

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Verdin, James P., Brian D. Wardlow, and Martha C. Anderson. Remote Sensing of Drought: Innovative Monitoring Approaches. Taylor & Francis Group, 2017.

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Verdin, James P., Brian D. Wardlow, and Martha C. Anderson. Remote Sensing of Drought: Innovative Monitoring Approaches. Taylor & Francis Group, 2012.

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Verdin, James P., Brian D. Wardlow, and Martha C. Anderson. Remote Sensing of Drought: Innovative Monitoring Approaches. Taylor & Francis Group, 2012.

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Book chapters on the topic "Weather monitoring system"

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Chaganti, Sai Yeshwanth, Ipseeta Nanda, and Koteswara Rao Pandi. "Cloud-Based Weather Monitoring System." In Advances in Data Science and Management. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0978-0_23.

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Akshath, M. J., L. Amrutha, and Praveen S. Yarali. "IoT-Based Weather Monitoring System." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-7954-7_64.

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Singh, Tanya, and Mohammed Asim. "Weather Monitoring System Using IoT." In Innovations in Cyber Physical Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4149-7_21.

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Reddy, Yeddula Aravind Kumar, K. Suganthi, Paluru Mohan Kumar, Afjal Ali Khan, and K. Sai Pavan. "LoRa—Pollution and Weather Monitoring System." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0199-9_32.

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Yadav, Pranavi, Nimish Nigam, Ranjeeta Yadav, and Sanjay Kumar Singh. "IoT-based advanced weather monitoring system." In Smart Computing. CRC Press, 2021. http://dx.doi.org/10.1201/9781003167488-79.

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Venkatrao, Kolli, Pampana Yamini, Matturthi Sai Brahmendra, Sanaboina Pavan Satya Swaroop, and Sariyam Rajiv. "Solar tracking and weather monitoring system." In Hybrid and Advanced Technologies. CRC Press, 2025. https://doi.org/10.1201/9781003559139-35.

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Debnath, Sunandita, Kaushik Rathva, Pratyush Agarwal, Abhishek Yadav, and Aryan Gupta. "Weather Monitoring System for Tourist Locations." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8868-2_27.

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Biswas, Mandira, Anup Dey, Sutanni Bhowmick, Bikram Biswas, Subhashis Roy, and Subir Kumar Sarkar. "Smart Ambient Weather Monitoring System for Hikers." In Advances in Communication, Devices and Networking. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3450-4_48.

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Phadke, Maitreyi, and Monali Korde. "IoT-Based Weather Monitoring System Using NodeMCU ESP8266." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1320-2_18.

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Sundaramoorthy, Suriya. "Design of UML Diagrams for Weather Monitoring System." In UML Diagramming. Auerbach Publications, 2022. http://dx.doi.org/10.1201/9781003287124-6.

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Conference papers on the topic "Weather monitoring system"

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Bindal, Rohi, Aniruddha Yadav, Prajjwal Dewanzan, Aditya Shinde, Yuvraj Salaria, and Shubhangi Deokar. "NodeMCU Based Weather Monitoring System." In 2023 IEEE International Carnahan Conference on Security Technology (ICCST). IEEE, 2023. http://dx.doi.org/10.1109/iccst59048.2023.10726856.

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Desai, Shravani, Samarth Kattimani, Sakshi Koparde, Shreyas Jamakhandi, Parasnath Doddanavar, and Ryan Dias. "Smart Home Weather Monitoring and Prediction System." In 2025 International Conference on Knowledge Engineering and Communication Systems (ICKECS). IEEE, 2025. https://doi.org/10.1109/ickecs65700.2025.11035970.

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Hassain, Md Mehedi, Jannatul Huria, Emon Barua, Humaira Delower, and Md Reyad Arefin. "IoT Based Smart Economic Zone Weather Monitoring System." In 2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC). IEEE, 2024. https://doi.org/10.1109/etncc63262.2024.10767544.

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Soni, Manjyot Singh, Mitra Jisan, Bera Kaustav, and Rajib Ghosh. "Advancements in Weather Monitoring System: A Comprehensive Review." In 2025 8th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech). IEEE, 2025. https://doi.org/10.1109/iementech65115.2025.10959560.

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Osama, Mohammad, Arsh-E.-Barin Khurshid, Umar Farooq, Naqash Ahmad, Mubashir Shah, and Syed Ali Ishaq Mohsin. "AI-based Weather Monitoring System Using IoT Interface." In 2025 International Conference on Emerging Technologies in Electronics, Computing, and Communication (ICETECC). IEEE, 2025. https://doi.org/10.1109/icetecc65365.2025.11070270.

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Mahato, Ashish Kumar, Pratiksha Sarma, and Pranjal Barman. "An IoT based real-time Flood and Weather Monitoring system." In 2024 IEEE Calcutta Conference (CALCON). IEEE, 2024. https://doi.org/10.1109/calcon63337.2024.10914313.

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Islam, Khademul, Fahim Chowdhury, Khan Farhan Ibne Faruque, Mohammad Reiwan Uddin., and Mahady Hasan. "loT Integrated Air Quality and Weather Monitoring System using Android Application." In 2024 International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET). IEEE, 2024. https://doi.org/10.1109/icrpset64863.2024.10955912.

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S, Thangam, Gurupriya M, Naveen S, Shashank K, and Sujay R. "Weather Monitoring for Curating Cricket Pitches using Machine Learning and Arduino." In 2024 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS). IEEE, 2024. https://doi.org/10.1109/csitss64042.2024.10816862.

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Khan, Shahin M., Mumtahina Tasnim Mahi, and Mirza Rasheduzzaman. "Design and Implementation of a Low-Cost Weather Monitoring System using ESP-NOW." In 2024 13th International Conference on Electrical and Computer Engineering (ICECE). IEEE, 2024. https://doi.org/10.1109/icece64886.2024.11024940.

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Foina, Aislan, and Ahmed El-Deeb. "PeWeMoS - Pervasive Weather Monitoring System." In 2008 Third International Conference on Pervasive Computing and Applications (ICPCA). IEEE, 2008. http://dx.doi.org/10.1109/icpca.2008.4783562.

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Reports on the topic "Weather monitoring system"

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Niles, Kendall, Jason Ray, Kenneth Niles, Andrew Maxwell, and Anton Netchaev. Monitoring for analytes through LoRa and LoRaWAN technology. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49457.

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The purpose of this research is to investigate the use of a communication network utilizing Long Range (LoRa) low-power wide-area network protocol for the telemetry of detected target chemicals. The sensor platform under development allows traditional electrochemical techniques to be executed with a low Size, Weight, and Power (low SWaP) system that is deployable using an autonomous or remote-controlled vehicle. Once in the field, the sensors communicate target chemical concentrations to a centralized gateway through LoRa to an Internet of Things (IoT) network. Researchers are currently deploy

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Buehler, David, Richard Fischer, John Wilkerson, et al. Demonstration of autonomous aerial acoustic recording systems to inventory Department of Defense bird populations. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39921.

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This demonstration project addressed the Department of Defense need for innovative technology for monitoring avian populations in inaccessible areas. This report presents results from field validation tests for an autonomous aerial acoustic recording system, a helium-filled weather balloon that transported an instrument payload over inaccessible areas (e.g., ordnance impact areas) to record avian vocalizations.

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Desai, Jairaj, Jijo K. Mathew, Woosung Kim, et al. Dashboards for Real-time Monitoring of Winter Operations Activities and After-action Assessment. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317252.

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The Indiana Department of Transportation (INDOT) operates a fleet of nearly 1100 snowplows and spends up to $60M annually on snow removal and de-icing as part of their winter operation maintenance activities. Systematically allocating resources and optimizing material application rates can potentially save revenue that can be reallocated for other roadway maintenance operations. Modern snowplows are beginning to be equipped with a variety of Mobile Road Weather Information Sensors (MARWIS) which can provide a host of analytical data characterizing on-the-ground conditions during periods of win

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Wilkins, Justin, Andrew McQueen, and Burton Suedel. Improving spatial and temporal monitoring of dredging operations incorporating unmanned technologies. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47520.

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The US Army Corps of Engineers (USACE) is responsible for maintaining safe and navigable waterways through the periodic dredging of shoaled sediment from federal navigation channels. While dredging, a portion of the bottom sediments become resuspended creating a sediment plume near the dredging operation. Suspension of sediments during dredging and dredged sediment disposal operations continues to be a primary concern of regulatory agencies charged with the protection of environmental resources. Consequently, almost all dredging projects incorporate some level of regulatory compliance monitori

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Javier, Virginia, Linh Cat, Taro Katayama, et al. Fog monitoring on the Point Loma Peninsula at Cabrillo National Monument: 2023 annual report. National Park Service, 2024. http://dx.doi.org/10.36967/2305271.

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Cabrillo National Monument (CABR) is a unit of the National Park System located on the Point Loma peninsula in San Diego, CA, USA. Despite its small size (0.65 terrestrial km2), the monument attracts 851,000 annual visitors (IRMA SRSS Reports 2011-2020), and acts as an ?urban island?, providing habitat for unique algal, plant and animal species in an area of increasing development and urbanization. The park is situated in a Mediterranean climate, characterized by hot, dry summers and wet winters. This climate supports rare habitats and plant communities, such as coastal sage scrub, maritime su

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Hardy, Chris, Muthu Gandi, Adam Burry, and Desmond Power. PR-271-143716-R02 Bayesian Belief Network (BBN) Decision Support for Pipeline Third Party Interference. Pipeline Research Council International, Inc. (PRCI), 2018. http://dx.doi.org/10.55274/r0011530.

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Satellite monitoring offers unique advantages to the industry in meeting the objectives of managing third-party encroachment to mitigate the potential of mechanical damage. Satellite monitoring of third-party encroachment involves a persistent acquisition of satellite imagery over a pipeline right-of-way (ROW), combined with computerized change detection to identify potentially hazardous activities. Monitoring using satellite synthetic aperture radar (SAR) provides an all-weather day or night monitoring of a specific geographic location. This monitoring service can be enhanced with third-party

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Boyle, M., M. Gregory, Michael Byrne, Paula Capece, Sarah Corbett, and Wendy Wright. Terrestrial vegetation monitoring in Southeast Coast Network parks: Protocol implementation plan. National Park Service, 2019. https://doi.org/10.36967/2263392.

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The Southeast Coast Network conducts long-term terrestrial vegetation monitoring as part of the nationwide Inventory and Monitoring Program of the National Park Service. Vegetation in parks is monitored as a key vital sign and indicator of overall ecosystem health because changes in vegetation condition reflect effects of stressors such as extreme weather, disease, invasive species, fire, and land use change. Plants also provide the structured habitat and food resources on which other species depend. Monitoring plants and their associated communities over time allows for targeted understanding

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Liguori, Giovanni, and Nadia Pinardi. Evaluation of Extreme Forecast Indices (WP5+6). EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d4.11.

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While originally developed for weather forecasting, the Extreme Forecast index (EFI) concept has found utility in diverse fields. This study marks the inaugural application of EFI principles to numerical ocean forecasting. EFI offers a metric to gauge the forecast's deviation from historical norms specific to the location and time of year. A heightened EFI value signifies that the forecast falls beyond the usual range of variability, signifying a higher probability of extreme conditions. This novel use of EFI stands to benefit oceanographers by identifying significant oceanic events, aiding de

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Huntley, D., D. Rotheram-Clarke, R. Cocking, J. Joseph, and P. Bobrowsky. Current research on slow-moving landslides in the Thompson River valley, British Columbia (IMOU 5170 annual report). Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331175.

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Interdepartmental Memorandum of Understanding (IMOU) 5170 between Natural Resources Canada (NRCAN), the Geological Survey of Canada (GSC) and Transport Canada Innovation Centre (TC-IC) aims to gain new insight into slow-moving landslides, and the influence of climate change, through testing conventional and emerging monitoring technologies. IMOU 5107 focuses on strategically important sections of the national railway network in the Thompson River valley, British Columbia (BC), and the Assiniboine River valley along the borders of Manitoba (MN) and Saskatchewan (SK). Results of this research ar

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Li, Howell, Enrique Saldivar-Carranza, Jijo K. Mathew, et al. Extraction of Vehicle CAN Bus Data for Roadway Condition Monitoring. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317212.

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Obtaining timely information across the state roadway network is important for monitoring the condition of the roads and operating characteristics of traffic. One of the most significant challenges in winter roadway maintenance is identifying emerging or deteriorating conditions before significant crashes occur. For instance, almost all modern vehicles have accelerometers, anti-lock brake (ABS) and traction control systems. This data can be read from the Controller Area Network (CAN) of the vehicle, and combined with GPS coordinates and cellular connectivity, can provide valuable on-the-ground

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