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Related papers: What is next for National Meteorological Services?

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Data science has become increasingly essential for the production of official statistics, as it enables the automated collection, processing, and analysis of large amounts of data. With such data science practices in place, it enables more…

Machine Learning · Statistics 2023-06-08 Cedric De Boom , Michael Reusens

Climate change increases the frequency of extreme rainfall, placing a significant strain on urban infrastructures, especially Combined Sewer Systems (CSS). Overflows from overburdened CSS release untreated wastewater into surface waters,…

Machine Learning · Computer Science 2025-08-13 Vipin Singh , Tianheng Ling , Teodor Chiaburu , Felix Biessmann

Telecommunication networks have become as critical to the 21st century development as were railways, roads and canals, to the 19th Century developments and is now seen as enabler to a more sustained business, environment and society as a…

Computers and Society · Computer Science 2016-02-18 Hassan Hamdoun , Jafar A. Alzubi , Omar A. Alzubi , Solomon Mangeni

Weather is a phenomenon that affects everything and everyone around us on a daily basis. Weather prediction has been an important point of study for decades as researchers have tried to predict the weather and climatic changes using…

Machine Learning · Computer Science 2022-03-14 Ishu Gupta , Harsh Mittal , Deepak Rikhari , Ashutosh Kumar Singh

The majority of real-world processes are spatiotemporal, and the data generated by them exhibits both spatial and temporal evolution. Weather is one of the most essential processes in this domain, and weather forecasting has become a…

Machine Learning · Computer Science 2024-09-24 Shakir Showkat Sofi , Ivan Oseledets

Efficient networking has a substantial economic and societal impact in a broad range of areas including transportation systems, wired and wireless communications and a range of Internet applications. As transportation and communication…

Physics and Society · Physics 2015-05-30 Chi Ho Yeung , David Saad

Prognostics is a process of assessing the extent of deviation or degradation of a product from its expected normal operating condition, and then, based on continuous monitoring, predicting the future reliability of the product. By being…

Materials Science · Physics 2007-09-13 N. Vchare , M. Pecht

In the last years there has been a considerable increase in the availability of continuous sensor measurements in a wide range of application domains, such as Location-Based Services (LBS), medical monitoring systems, manufacturing plants…

Databases · Computer Science 2015-03-20 Michele Dallachiesa , Besmira Nushi , Katsiaryna Mirylenka , Themis Palpanas

The cost of delays was estimated as 33 billion US dollars only in 2019 for the US National Airspace System, a peak value following a growth trend in past years. Aiming to address this huge inefficiency, we designed and developed a novel…

Machine Learning · Computer Science 2023-10-16 Ítalo Romani de Oliveira , Samet Ayhan , Michael Biglin , Pablo Costas , Euclides C. Pinto Neto

Space weather is a collective term for different solar or space phenomena that can detrimentally affect technology. However, current understanding of space weather hazards is still relatively embryonic in comparison to terrestrial natural…

General Economics · Economics 2021-06-17 Edward J. Oughton

Geomagnetic storms, disturbances of Earth's magnetosphere caused by masses of charged particles being emitted from the Sun, are an uncontrollable threat to modern technology. Notably, they have the potential to damage satellites and cause…

Machine Learning · Computer Science 2022-04-13 Kyle Domico , Ryan Sheatsley , Yohan Beugin , Quinn Burke , Patrick McDaniel

The escalating impacts of climate change and the increasing demand for sustainable development and natural resource management necessitate innovative technological solutions. Quantum computing (QC) has emerged as a promising tool with the…

Quantum Physics · Physics 2024-07-24 Kin Tung Michael Ho , Kuan-Cheng Chen , Lily Lee , Felix Burt , Shang Yu , Po-Heng , Lee

Numerical Weather Prediction (NWP) system is an infrastructure that exerts considerable impacts on modern society.Traditional NWP system, however, resolves it by solving complex partial differential equations with a huge computing cluster,…

Artificial Intelligence · Computer Science 2024-09-26 Junchao Gong , Tao Han , Kang Chen , Lei Bai

Space weather poses an important but under-quantified threat to critical infrastructure, the economy, and society. While extreme geomagnetic storms are recognized as potential global catastrophes, their socio-economic impacts remain poorly…

Designing software compatible with cloud-based Microservice Architectures (MSAs) is vital due to the performance, scalability, and availability limitations. As the complexity of a system increases, it is subject to deprecation, difficulties…

Software Engineering · Computer Science 2024-07-22 Thakshila Imiya Mohottige , Artem Polyvyanyy , Rajkumar Buyya , Colin Fidge , Alistair Barros

As the peak of the solar cycle approaches in 2025 and the ability of a single geomagnetic storm to significantly alter the orbit of Resident Space Objects (RSOs), techniques for atmospheric density forecasting are vital for space…

Atmospheric and Oceanic Physics · Physics 2023-10-27 Julia Briden , Peng Mun Siew , Victor Rodriguez-Fernandez , Richard Linares

Instead of getting involved in either extremes of dispute around climate change as one of our grand challenges, we opened the space of potential policy responses from a systemic view and showed why current climate change mitigation policies…

Computers and Society · Computer Science 2017-08-23 Vahid Moosavi

Over the past half-century, technology has evolved beyond our wildest dreams. However, while the benefits of technological growth are undeniable, the nascent Internet did not anticipate the online threats we routinely encounter and the…

Computers and Society · Computer Science 2018-07-17 Meredydd Williams , Louise Axon , Jason R. C. Nurse , Sadie Creese

The application of Machine Learning (ML) to hydrologic modeling is fledgling. Its applicability to capture the dependencies on watersheds to forecast better within a short period is fascinating. One of the key reasons to adopt ML algorithms…

Machine Learning · Computer Science 2025-10-14 Supath Dhital

Climate models are complicated software systems that approximate atmospheric and oceanic fluid mechanics at a coarse spatial resolution. Typical climate forecasts only explicitly resolve processes larger than 100 km and approximate any…