Relevant bibliographies by topics / Weather forecast

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Weather forecast'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Weather forecast"

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Singh, Dan, Amreek Singh, and Ashwagosha Ganju. "Site-specific analog weather-forecast system for northwest Himalaya, India." Annals of Glaciology 49 (2008): 224–30. http://dx.doi.org/10.3189/172756408787815013.

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AbstractIn an analog weather-forecasting procedure, recorded weather in the past analogs corresponding to the current weather situation is used to predict future weather. Consistent with the procedure, a theoretical framework is developed to predict weather at a specific site in the Pir Panjal range of the northwest Himalaya, India, using surface weather observations of the past ten winters (1991/92 to 2001/02) 3 days in advance. Weather predictions were made as snow day with quantitative snowfall category or no-snow day, for day1 through day3. As currently deployed, the procedure routinely pr
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Firanj Sremac, Ana, Branislava Lalić, Milena Marčić, and Ljiljana Dekić. "Toward a Weather-Based Forecasting System for Fire Blight and Downy Mildew." Atmosphere 9, no. 12 (2018): 484. http://dx.doi.org/10.3390/atmos9120484.

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The aim of this research is to present a weather-based forecasting system for apple fire blight (Erwinia amylovora) and downy mildew of grapevine (Plasmopara viticola) under Serbian agroecological conditions and test its efficacy. The weather-based forecasting system contains Numerical Weather Prediction (NWP) model outputs and a disease occurrence model. The weather forecast used is a product of the high-resolution forecast (HRES) atmospheric model by the European Centre for Medium-Range Weather Forecasts (ECMWF). For disease modelling, we selected a biometeorological system for messages on t
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Roads, JO, K. Ueyoshi, SC Chen, J. Alpert, and F. Fujioka. "Medium-range fire weather forecasts." International Journal of Wildland Fire 1, no. 3 (1991): 159. http://dx.doi.org/10.1071/wf9910159.

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The forecast skill of theNational Meteorological Center's medium range forecast (MRF) numerical forecasts of fire weather variables is assessed for the period June 1,1988 to May 31,1990. Near-surface virtual temperature, relative humidity, wind speed and a derived fire weather index (FWI) are forecast well by the MRF model. However, forecast relative humidity has a wet bias during the winter and a slight dry bias during the summer, which has noticeable impact on forecasts of the derived fire weather index. The FWI forecasts are also strongly affected by near-surface wind forecast errors. Still
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Chen, Jie, François P. Brissette, and Zhi Li. "Postprocessing of Ensemble Weather Forecasts Using a Stochastic Weather Generator." Monthly Weather Review 142, no. 3 (2014): 1106–24. http://dx.doi.org/10.1175/mwr-d-13-00180.1.

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Abstract This study proposes a new statistical method for postprocessing ensemble weather forecasts using a stochastic weather generator. Key parameters of the weather generator were linked to the ensemble forecast means for both precipitation and temperature, allowing the generation of an infinite number of daily times series that are fully coherent with the ensemble weather forecast. This method was verified through postprocessing reforecast datasets derived from the Global Forecast System (GFS) for forecast leads ranging between 1 and 7 days over two Canadian watersheds in the Province of Q
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Demuth, Julie L., Jeffrey K. Lazo, and Rebecca E. Morss. "Exploring Variations in People’s Sources, Uses, and Perceptions of Weather Forecasts." Weather, Climate, and Society 3, no. 3 (2011): 177–92. http://dx.doi.org/10.1175/2011wcas1061.1.

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Abstract Past research has shown that individuals vary in their attitudes and behaviors regarding weather forecast information. To deepen knowledge about these variations, this article explores 1) patterns in people’s sources, uses, and perceptions of everyday weather forecasts; and 2) relationships among people’s sources, uses, and perceptions of forecasts, their personal characteristics, and their experiences with weather and weather forecasts. It does so by performing factor and regression analysis on data from a nationwide survey of the U.S. public, combined with other data. Forecast uses
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Compton, Josh. "When Weather Forecasters Are Wrong: Image Repair and Public Rhetoric After Severe Weather." Science Communication 40, no. 6 (2018): 778–88. http://dx.doi.org/10.1177/1075547018799101.

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Weather forecasts are a unique type of prediction rhetoric—science communication with inherent uncertainty and multiple potential interpretations from diverse audiences. When forecasts are wrong, audiences often turn their ire toward the weather forecaster. This rhetorical analysis considers image repair efforts of a meteorologist following a botched winter storm forecast. Implications for communication efforts of weather forecasters are offered, in addition to consideration of insight into the larger realm of the rhetoric of science.
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Hallgren, Christoffer, Stefan Ivanell, Heiner Körnich, Ville Vakkari, and Erik Sahlée. "The smoother the better? A comparison of six post-processing methods to improve short-term offshore wind power forecasts in the Baltic Sea." Wind Energy Science 6, no. 5 (2021): 1205–26. http://dx.doi.org/10.5194/wes-6-1205-2021.

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Abstract. With a rapidly increasing capacity of electricity generation from wind power, the demand for accurate power production forecasts is growing. To date, most wind power installations have been onshore and thus most studies on production forecasts have focused on onshore conditions. However, as offshore wind power is becoming increasingly popular it is also important to assess forecast quality in offshore locations. In this study, forecasts from the high-resolution numerical weather prediction model AROME was used to analyze power production forecast performance for an offshore site in t
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Novak, David R., Christopher Bailey, Keith F. Brill, et al. "Precipitation and Temperature Forecast Performance at the Weather Prediction Center." Weather and Forecasting 29, no. 3 (2014): 489–504. http://dx.doi.org/10.1175/waf-d-13-00066.1.

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Abstract The role of the human forecaster in improving upon the accuracy of numerical weather prediction is explored using multiyear verification of human-generated short-range precipitation forecasts and medium-range maximum temperature forecasts from the Weather Prediction Center (WPC). Results show that human-generated forecasts improve over raw deterministic model guidance. Over the past two decades, WPC human forecasters achieved a 20%–40% improvement over the North American Mesoscale (NAM) model and the Global Forecast System (GFS) for the 1 in. (25.4 mm) (24 h)−1 threshold for day 1 pre
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Wible, B. "Weather Forecast." Science 329, no. 5998 (2010): 1443. http://dx.doi.org/10.1126/science.329.5998.1443-a.

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Syed, Shah Waqi Ali, Kumar Rohit, Rai Anish, Kumar Ashish, Deepak N. R. Dr., and B. Omprakash. "Weather Forecast Prediction." Recent Trends in Computer Graphics and Multimedia Technology 7, no. 2 (2025): 22–30. https://doi.org/10.5281/zenodo.15331762.

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<em>Weather forecasting involves the use of science and technology to forecast weather conditions for a particular area continues to be a major challenge worldwide. This project focuses on estimating weather conditions through predictive analysis. To achieve this, an evaluation of various data mining techniques is essential prior to implementation. This study proposes a classification-based approach for weather prediction, utilizing algorithms such as Naive Bayes and Chi-Square for classification tasks.</em> <em>The system is designed as a web application with an intuitive graphical user inter
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Dissertations / Theses on the topic "Weather forecast"

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Juzovitski, Emil. "Wearable Weather Forecast : Creating a forecast through iOS and Smart Clothes." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229445.

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Smart Clothes refers to clothes that have been embedded with computer devices. Items of the category can be used to inform an individual about his health. The technology can likewise be used to track an individuals surroundings. There are many possible uses for Smart Clothes. This thesis is based on the idea of creating a Smart Clothes item that can create weather forecasts independently. In order to create such system unique problems have to be solved. One major problem to overcome is realizing what a mobile application a mobile application has to do in a Smart Clothes system that predicts w
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Mackie, Shona. "Exploiting weather forecast data for cloud detection." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/4350.

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Accurate, fast detection of clouds in satellite imagery has many applications, for example Numerical Weather Prediction (NWP) and climate studies of both the atmosphere and of the Earth’s surface temperature. Most operational techniques for cloud detection rely on the differences between observations of cloud and of clear-sky being more or less constant in space and in time. In reality, this is not the case - different clouds have different spectral properties, and different cloud types are more or less likely in different places and at different times, depending on atmospheric conditions and
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Козловська, Ганна Борисівна, Анна Борисовна Козловская, and Hanna Borysivna Kozlovska. "Manifestation of Expressiveness in Weather Forecast Texts." Thesis, Константа, 2001. http://essuir.sumdu.edu.ua/handle/123456789/62108.

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У роботі основна увага приділяється прояву виразності в текстах погодних умов за допомогою графічних пристроїв. Графічні стилістичні пристрої використовуються для покращення інформації про прогноз погоди, що забезпечує нове уявлення про його зміст, що робить презентацію форми невидимими.<br>The paper focuses on the manifestation of expressiveness in weather forecast texts by means of graphic devices. Graphic stylistic devices are used for weather forecast information to be better understood providing new insight in its content, making the form presentation far from being trite.
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Lanagan, Gareth Daniel Edward. "Weather forecast error decomposition using rearrangements of functions." Thesis, Aberystwyth University, 2012. http://hdl.handle.net/2160/b489892f-7607-4125-90fb-46d8376edf8f.

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This thesis applies rearrangement and optimal mass transfer theory to weather forecast error decomposition. Errors in weather forecasting are often due to displacement of key features; conventional error scores do not necessarily favour good forecasts, nor are they descriptive of how the forecast failed. We study forecast error decomposition, where error is split into an error due to displacement and an error due to differences in qualitative features. In its simple formulation, we seek re-arrangements of the forecast which are a best fit to the actual data, and then find the “least kinetic en
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Krouma, Meriem. "Ensemble weather forecast using a stochastic weather generator and analogs of the atmospheric circulation." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASJ010.

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Les prévisions météorologiques d'ensemble peuvent aider à anticiper les risques d'événements météorologiques extrêmes. Cependant, le comportement chaotique de l'atmosphère représente une source majeure d'incertitudes pour les prévisions météorologiques surtout pour des échéances sous-saisonnières (de quelques jours à un mois). Un grand nombre de simulations numériques peut permettre de résoudre ce problème d'incertitude et de déterminer la distribution statistique des variables climatiques. Dans cette thèse, nous avons développé un outil de prévision d'ensemble basé sur des méthodes statistiqu
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Saffin, Leo John. "Linking weather forecast errors with the physical processes responsible." Thesis, University of Reading, 2017. http://centaur.reading.ac.uk/74257/.

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Progress in numerical weather prediction (NWP) is made through better understand¬ing of the physical processes represented in numerical models and their impacts on the dynamics of large-scal~ weather systems. Here, potential vorticity (PV) tracer diagnostics are used to investigate the representation of processes in the Met Office Unified Model (MetG:l1). An exact budget of the PV tracers is derived and a "dynamics-tracer inconsistency" diagnostic implemented to quantify non-conservation of PV by the dynamical core which was not previously accounted for. It is shown that non-conservation of PV
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McCollor, Douglas. "Improving hydrometeorologic numerical weather prediction forecast value via bias correction and ensemble analysis." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/979.

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This dissertation describes research designed to enhance hydrometeorological forecasts. The objective of the research is to deliver an optimal methodology to produce reliable, skillful and economically valuable probabilistic temperature and precipitation forecasts. Weather plays a dominant role for energy companies relying on forecasts of watershed precipitation and temperature to drive reservoir models, and forecasts of temperatures to meet energy demand requirements. Extraordinary precipitation events and temperature extremes involve consequential water- and power-management decisions. Thi
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Leffler, Ingela. "The Vertical Route Forecast : an Evaluation of a New Flight Path Based Weather Forecast Product with HARMONIE-AROME High Resolution Forecasts over Scandinavia." Thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-318805.

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As a complement to existing weather forecast products for aviation, a prototype of a new product is presented and evaluated. It shows the atmosphere in a vertical cross section along the intended route. This Vertical Route Forecast introduces the possibility to examine the vertical distribution of cloud layers, wind, precipitation, turbulence and more along the flight path. Through a market research with 166 participating Swedish pilots it was found that the demand for the product is high and that 90 % of the participants would use it if available. The Vertical Route Forecast is inspired by th
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Hunemuller, Toby John. "Review and analysis of the National Weather Service river forecasts for the June 2008 eastern Iowa floods." Thesis, University of Iowa, 2010. https://ir.uiowa.edu/etd/821.

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The accuracy and quality of river forecasts are dependent on the nature of each flood. Less extreme , more common, floods may afford deviations between the predicted forecast and observed stage because the locals may be prepared, based on past experience to deal with the less extreme flood events. For less frequent, high flow events the flood forecasts and advanced warning time are more critical, because the locals need time to develop emergency response plans. The National Weather Service River Forecast Centers (NWS RFC) develop the river forecasts and provide them to the National Weather Ser
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Pagliaro, Daniel E. "Verification of the AFWA 3-Element Severe Weather Forecast Algorithm." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://bosun.nps.edu/uhtbin/hyperion-image.exe/08Mar%5FPagliaro.pdf.

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Thesis (M.S. in Meteorology)--Naval Postgraduate School, March 2008.<br>Thesis Advisor(s): Nuss, Wendell A. "March 2008." Description based on title screen as viewed on May 5, 2008 Includes bibliographical references (p. 85-86). Also available in print.
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Books on the topic "Weather forecast"

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Cowley, Joy. The weather forecast. Wright Group, 2000.

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Glover, David. The weather forecast. Ginn, 1991.

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David, Glover. The weather forecast. Ginn, 1997.

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Glover, David. The weather forecast. Ginn and Company, 1991.

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Graham, Elspeth. the weather forecast. Collins Educational, 1996.

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Office, Great Britain Meteorological, ed. Here's the weather forecast. [Meteorological Office], 1992.

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Boothroyd, Jennifer. What is a forecast? Lerner Publications Company, 2015.

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1954-, Heffernan Mary M., Ruth David P, and United States. National Weather Service., eds. AFOS-ERA forecast verification. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 1985.

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National Research Council (U.S.). Committee on Estimating and Communicating Uncertainty in Weather and Climate Forecasts., National Research Council (U.S.). Board on Atmospheric Sciences and Climate., and National Academies Press (U.S.), eds. Completing the forecast: Characterizing and communicating uncertainty for better decisions using weather and climate forecasts. National Academies Press, 2006.

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Forecast Systems Laboratory (U.S.) and United States. National Weather Service. Techniques Development Laboratory, eds. The AWIPS forecast preparation system. U.S. Dept. of Commerce, National Oceanic and Atmpospheric Administration ; Springfield, VA, 1993.

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Book chapters on the topic "Weather forecast"

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Quarteroni, Alfio. "Weather Forecast Models." In Modeling Reality with Mathematics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96162-6_2.

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Spiridonov, Vlado, and Mladjen Ćurić. "Weather Forecast and NWP." In Fundamentals of Meteorology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52655-9_23.

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Mohanty, U. C., Palash Sinha, M. M. Nageswara Rao, Dillip Kumar Swain, and K. K. Singh. "Weather and Climate Forecast." In Climate Risk Management in Agriculture. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-51862-1_4.

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Henson, Robert. "“And Now, Your Forecast”." In Weather on the Air. American Meteorological Society, 2010. http://dx.doi.org/10.1007/978-1-935704-00-3_1.

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Mwajombe, Anselm R., and Godwin A. Lema. "Weather forecasting and communication in the upper Great Ruaha catchment area." In Climate change impacts and sustainability: ecosystems of Tanzania. CABI, 2020. http://dx.doi.org/10.1079/9781789242966.0217.

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Abstract Effective weather forecast dissemination depends on how effective dissemination channels are in informing decision making for improved management of water resources and livelihood activities, which depend on water resources in catchment areas. In this chapter, the effectiveness of the channels for weather forecast dissemination is assessed in terms of magnitude of awareness creation and versatility to end users. Our findings show that both traditional and conventional channels of weather forecasting and communication can be used to create awareness to end users in various parts of the
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Ćurić, Mladjen, and Vlado Spiridonov. "Establishment of Weather Forecast Services." In History of Meteorology. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45032-7_7.

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Liu, Jing, Chuan Ren, Ziqi Zhao, et al. "Evaluation of High-Resolution Model Heavy Rainfall Forecast Under Different Weather Systems." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-8401-1_4.

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AbstractUsing hourly rainfall data from the meteorological big data cloud platform and based on the fuzzy verification neighborhood method, the forecast performance of the China Meteorological Administration's North China Numerical Forecast Model System (CMA-BJ), China Meteorological Administration's Mesoscale Weather Numerical Forecast System (CMA-MESO), and the Ruitu Northeast Numerical Forecast Model System (CMA-DB) during the rainfall process in the main flood season of Liaoning from 2022 to 2023 was evaluated. The results show that without considering the bias within a radius of 40 km, th
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Nino-Ruiz, Elias David, and Felipe J. Acevedo García. "Data-Driven Methods for Weather Forecast." In Computational Science – ICCS 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77970-2_25.

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Balasubramanian, T. N., R. Jagannathan, and V. Geethalakshmi. "Integrated Weather Forecast and Agro-Advisories." In Agro-Climatology Advances and Challenges. CRC Press, 2022. http://dx.doi.org/10.1201/9781003261100-7.

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Joe, Paul, Jenny Sun, Nusrat Yussouf, et al. "Predicting the Weather: A Partnership of Observation Scientists and Forecasters." In Towards the “Perfect” Weather Warning. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98989-7_7.

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AbstractWeather forecasts are the foundation of much of the information needed in the warnings we have been considering. To be useful, they require knowledge of the current atmospheric state as a starting point. In this chapter, we first look at the methods used to predict the weather and the resulting demands for observations. Then, we explore the wide variety of sensors and platforms used to obtain this information. There has been a long history of close working between sensor and platform designers and meteorologists that has produced spectacular advances in forecast accuracy. However, the
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Conference papers on the topic "Weather forecast"

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Chadha, Shikha, Neha Gupta, and Rosey Chauhan. "Development of Weather Forecast Application using API." In 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N). IEEE, 2024. https://doi.org/10.1109/icac2n63387.2024.10895829.

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Chadha, Shikha, Salman Khursheed Ahmad, Dolly Sharma, Manu Singh, and Anubhava Srivastavaline. "Development of Weather Forecast Application Using API." In 2024 International Conference on Computing, Sciences and Communications (ICCSC). IEEE, 2024. https://doi.org/10.1109/iccsc62048.2024.10830339.

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Rabinovich, William S., Rita Mahon, Mike S. Ferraro, et al. "Using numerical weather prediction to forecast optical turbulence." In Free-Space Laser Communications XXXVII, edited by Hamid Hemmati and Bryan S. Robinson. SPIE, 2025. https://doi.org/10.1117/12.3046692.

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Zhao, Shan, Zhitong Xiong, and Xiao Xiang Zhu. "Efficient Subseasonal Weather Forecast Using Teleconnection-Informed Transformers." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641568.

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Madala, Naga Charitavya, Sai Durga Saradhi Pranu Deepak Tallapudi, Venkata Srikari Malladi, Durga Mahesh Muthinti, Srilatha Tokala, and Murali Krishn Enduri. "Improving Weather Forecast Accuracy Using Hybrid Machine Learning Algorithms." In 2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2024. https://doi.org/10.1109/cicn63059.2024.10847449.

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Devi, A., Amirthasaravanan Arivunambi, S. Suvetha, S. Sasikala, P. Dharanyadevi, and B. Senthilnayaki. "IoT Based Satellite Balloon System for Live-Weather Forecast." In 2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN). IEEE, 2024. http://dx.doi.org/10.1109/icstsn61422.2024.10671106.

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Zhong, Guoan, Kecheng Xiang, and Qianqun Mo. "Weather Forecast Model Based on Decision Tree and Neural Network." In 2024 4th Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS). IEEE, 2024. http://dx.doi.org/10.1109/acctcs61748.2024.00096.

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Ahlawat, Prashant, Abhinav Tripathi, Ishika Thakur, Ankush Yadav, and Purushottam Kumar. "Comparative Study of Machine Learning Algorithms to Forecast Weather Conditions." In 2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES). IEEE, 2024. https://doi.org/10.1109/scopes64467.2024.10990957.

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Floehr, Eric. "Weather Forecast Accuracy Analysis." In Python in Science Conference. SciPy, 2010. http://dx.doi.org/10.25080/majora-92bf1922-006.

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Passano, Elizabeth, Janne K. O̸ Gjo̸steen, and Svein Sævik. "Onboard Screening of Forecast Weather During Installation." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57435.

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Pipelines and umbilical are key elements in subsea infrastructure for energy transport. Offshore installation of long pipelines and umbilicals on uneven seabeds in deep waters are critical operations. Uncertainties in weather conditions and currents add to the challenge. During the planning of an installation, many detailed static and dynamic analyses are performed in order to determine the weather conditions under which the operation may take place: the operational weather window. Weather windows may either be established for the whole operation, or different weather windows may be establishe
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Reports on the topic "Weather forecast"

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Nuss, Wendell A. Quantifying Sensible Weather Forecast Variability. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada531855.

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Nuss, Wendell A. Quantifying Sensible Weather Forecast Variability. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada541870.

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Wade, John, Stel Walker, and Robert Baker. Seasonal Weather Forecast Verification : Final Report. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6997447.

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Zavala, V. M., E. M. Constantinescu, T. Krause, and M. Anitescu. Weather forecast-based optimization of integrated energy systems. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/951585.

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Lane, Erin, and Anthony Buda. Consider Weather Forecasts Beyond One Week. USDA Northeast Climate Hub, 2018. http://dx.doi.org/10.32747/2018.6929533.ch.

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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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7

Passner, Jeffrey E. Evaluation and Application of the Weather Research and Forecast Model. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada475478.

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Brinster, Gregory L., Jairaj Desai, Myles W. Overall, et al. Evaluating the Robustness of MDSS Forecast and Compliance with Recommendations. Purdue University, 2025. https://doi.org/10.5703/1288284317805.

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The Indiana Department of Transportation (INDOT) adopted the Maintenance Decision Support System (MDSS) for user-defined plowing segments in the winter of 2008–2009. Since then, many new data sources, including connected vehicle data, enhanced weather data, and fleet telematics have been integrated into INDOT winter operations activities. The objective of this study was to use these new data sources to conduct a systematic evaluation of the robustness of the MDSS forecasts. During the 2023–2024 winter season, 26 unique MDSS forecast data attributes were collected at 0-, 1-, 3-, 6-, 12-, and 23
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Alves, Jose-Henrique, Roberto Padilla-Hernandez, Deanna Spindler, et al. Development of a wave model component in the first coupled Global Ensemble Forecast System at NOAA. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49784.

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We describe the development of the wave component in the first global-scale coupled operational forecast system using the Unified Forecasting System at NOAA, part of the U.S. National Weather Service operational forecasting suite. The operational implementation of the atmosphere–wave coupled Global Ensemble Forecast System, version 12, was a critical step in NOAA’s transition to the broader community based UFS framework. GEFSv12 represents a significant advancement, extending forecast ranges and empowering the NWS to deliver advanced weather predictions with extended lead times for high-impact
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Tran, Martin, Samuel Kreinberg, Eric Specking, et al. Smart installation weather warning decision support. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49734.

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Army installation commanders need timely weather information to make installation closure decisions before or during adverse weather events (e.g., hail, thunderstorms, snow, and floods). We worked with the military installation in Fort Carson, CO, and used their Weather Warning, Watch, and Advisory (WWA) criteria list to establish the foundation for our algorithm. We divided the Colorado Springs area into 2300 grids (2.5 square kilometers areas) and grouped the grids into ten microclimates, geographically and meteorologically unique regions, per pre-defined microclimate regions provided by the
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