4,028 resources related to Weather forecasting
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- Most published Xplore authors for Weather forecasting
The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more
The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.
All fields of satellite, airborne and ground remote sensing.
OCEANS 2020 - SINGAPORE
An OCEANS conference is a major forum for scientists, engineers, and end-users throughout the world to present and discuss the latest research results, ideas, developments, and applications in all areas of oceanic science and engineering. Each conference has a specific theme chosen by the conference technical program committee. All papers presented at the conference are subsequently archived in the IEEE Xplore online database. The OCEANS conference comprises a scientific program with oral and poster presentations, and a state of the art exhibition in the field of ocean engineering and marine technology. In addition, each conference can have tutorials, workshops, panel discussions, technical tours, awards ceremonies, receptions, and other professional and social activities.
To promote awareness, understanding, advancement and application of ocean engineering and marine technology. This includes all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...
Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...
It is expected that GRS Letters will apply to a wide range of remote sensing activities looking to publish shorter, high-impact papers. Topics covered will remain within the IEEE Geoscience and Remote Sensing Societys field of interest: the theory, concepts, and techniques of science and engineering as they apply to the sensing of the earth, oceans, atmosphere, and space; and ...
IEEE Power Engineering Review, 1991
OCEANS '86, 1986
Proceedings of the IEEE, 2016
Following the invention of the telegraph, electronic computer, and remote sensing, “big data” is bringing another revolution to weather prediction. As sensor and computer technologies advance, orders of magnitude bigger data are produced by new sensors and high-precision computer simulation or “big simulation.” Data assimilation (DA) is a key to numerical weather prediction (NWP) by integrating the real-world sensor data ...
OCEANS '85 - Ocean Engineering and the Environment, 1985
A nation whose coastal areas, offshore as well as onshore, are becoming more intensively developed and utilized must recognize the potential property damage as well as loss of life and cost of injuries that may result from increasing vulnerability to natural hazards such as hurricanes, accompanying tornadoes, and other storms. These will have an impact on communications as well as ...
Radio Science, 2017
Internationally recognized prognostic models of rain fade on terrestrial and Earth-space EHF links rely fundamentally on distributions of 1 min rain rates. Currently, in Rec. ITU-R P.837-6, these distributions are generated using the Salonen-Poiares Baptista method where 1 min rain rate distributions are estimated from long-term average annual accumulations provided by numerical weather prediction (NWP). This paper investigates an alternative ...
CES 2008: Ford and Sirius Team Up for In-Car Navigation
Self-Driving Buses: Minnesota Pilot Project - IEEE Region 4 Presentation
IRDS: More Moore Outbrief - Mustafa Badaroglu at INC 2019
Data Science for Revenue Forecasting System | DSBC 2020
IEEE 125th Anniversary Media Event: Pattern Recognition
The Full Spectrum: COSMIC Satellites Use GPS to Forecast Weather
Panel Discussion: The Next 20 Years - INC 2019
Group on Earth Observations(GEOSS): Technology
Micro-Apps 2013: Precision RF/MW Cable and Antenna Test in the Field
Panel Q and A - Industry Day Sessions - IPC 2018
Sonita Lontoh - Fireside Chat - IEEE Rising Stars 2020
Laura Specker Sullivan: Neuroscience & Brain Panel - Forecasting the Future by Looking at the Past - TTM 2018
IRDS: IFT Cryogenic Electronics & Quantum Information Processing - Scott Holmes at INC 2019
Information Technology: Careers for the information age
NEREID: Systems Design & Heterogeneous Integration: Danilo Demarchi at INC 2019
Rebooting Memory Architecture - Wen-mei Hwu at INC 2019
Steep Slope Devices: Advanced Nanodevices - Nicolo Oliva at INC 2019
Overview of NEREID - Francis Balestra at INC 2019
IRDS: Lithography - Mark Neisser at INC 2019
Following the invention of the telegraph, electronic computer, and remote sensing, “big data” is bringing another revolution to weather prediction. As sensor and computer technologies advance, orders of magnitude bigger data are produced by new sensors and high-precision computer simulation or “big simulation.” Data assimilation (DA) is a key to numerical weather prediction (NWP) by integrating the real-world sensor data into simulation. However, the current DA and NWP systems are not designed to handle the “big data” from next-generation sensors and big simulation. Therefore, we propose “big data assimilation” (BDA) innovation to fully utilize the big data. Since October 2013, the Japan's BDA project has been exploring revolutionary NWP at 100-m mesh refreshed every 30 s, orders of magnitude finer and faster than the current typical NWP systems, by taking advantage of the fortunate combination of next-generation technologies: the 10-petaflops K computer, phased array weather radar, and geostationary satellite Himawari-8. So far, a BDA prototype system was developed and tested with real-world retrospective local rainstorm cases. This paper summarizes the activities and progress of the BDA project, and concludes with perspectives toward the post-petascale supercomputing era.
A nation whose coastal areas, offshore as well as onshore, are becoming more intensively developed and utilized must recognize the potential property damage as well as loss of life and cost of injuries that may result from increasing vulnerability to natural hazards such as hurricanes, accompanying tornadoes, and other storms. These will have an impact on communications as well as boat and vessel accidents, also on near-shore and offshore installations. The conclusions of this paper underscore the importance of safe and effective use of the marine environment and the need for increasing attention and analysis. Perhaps nowhere is our need for environmental data and analysis so great as it is in dealing with environmental hazards. As our growth continues are we still at the mercy of our physical environment?
Internationally recognized prognostic models of rain fade on terrestrial and Earth-space EHF links rely fundamentally on distributions of 1 min rain rates. Currently, in Rec. ITU-R P.837-6, these distributions are generated using the Salonen-Poiares Baptista method where 1 min rain rate distributions are estimated from long-term average annual accumulations provided by numerical weather prediction (NWP). This paper investigates an alternative to this method based on the distribution of 6 h accumulations available from the same NWPs. Rain rate fields covering the UK, produced by the Nimrod network of radars, are integrated to estimate the accumulations provided by NWP, and these are linked to distributions of fine-scale rain rates. The proposed method makes better use of the available data. It is verified on 15 NWP regions spanning the UK, and the extension to other regions is discussed.
This article discusses our statistical investigations into the occurrence of proton events for solar energetic particle (SEP) alerts in space weather forecasts. We analyzed X-ray flux and proton intensity data obtained with the GOES satellite in the 23rd solar cycle. We found that the total soft X-ray flux (1–8Å) of almost all flares related to proton events exceeded a threshold value, which was ∼20 ergs cm–2. This means that there is a threshold in flare duration in regard to peak X-ray flux and this is ∼30 min for an M1.0 flare and/or 3 min for an X1.0 flare. We also confirmed this threshold with data in the 22nd solar cycle. These results will provide some of the most important criteria for SEP alerts and solar proton event forecasts in the future.
This paper evaluates the performance of an operational proton prediction model currently being used at NOAA's Space Weather Prediction Center. The evaluation is based on proton events that occurred between 1986 and 2004. Parameters for the associated solar events determine a set of necessary conditions, which are used to construct a set of control events. Model output is calculated for these events and performance of the model is evaluated using standard verification measures. For probability forecasts we evaluate the accuracy, reliability, and resolution and display these results using a standard attributes diagram. We identify conditions for which the model is systematically inaccurate. The probability forecasts are also evaluated for categorical forecast performance measures. We find an optimal probability and we calculate the false alarm rate and probability of detection at this probability. We also show results for peak flux and rise time predictions. These findings provide an objective basis for measuring future improvements.
As a practical example of space weather forecasts, an attempt was made to provide monthly occurrence probabilities in advance for intense geomagnetic storms (Dst < -100 nT). A simple formula for evaluating the probabilities was developed, such that transformation of the cumulative distribution for the waiting time of neighboring storms is taken into account as a function of the time elapsed since the last event at the time of forecasting. The waiting time distribution is based on past observational data applied directly and not approximated by any exponential or other parametric distributions. The correspondence of forecast probabilities with past event frequencies is validated by the standard measures, showing that the present forecast, given its superior accuracy and resolution compared to the climatological estimation, can potentially be used as a baseline for assessing the skill of a future model.
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