Data assimilation

Applications of data assimilation arise in many fields of geosciences, perhaps most importantly in weather forecasting and hydrology. (Wikipedia.org)






Conferences related to Data assimilation

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2020 IEEE 23rd International Conference on Information Fusion (FUSION)

The International Conference on Information Fusion is the premier forum for interchange of the latest research in data and information fusion, and its impacts on our society. The conference brings together researchers and practitioners from academia and industry to report on the latest scientific and technical advances.


Oceans 2020 MTS/IEEE GULF COAST

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.

  • OCEANS '96

  • OCEANS '97

  • OCEANS '98

  • OCEANS '99

  • OCEANS 2000

  • OCEANS 2001

  • OCEANS 2002

  • OCEANS 2003

  • OCEANS 2004

  • OCEANS 2005

  • OCEANS 2006

  • OCEANS 2007

  • OCEANS 2008

    The Marine Technology Society (MTS) and the Oceanic Engineering Society (OES) of the Institute of Electrical and Electronic Engineers (IEEE) cosponsor a joint conference and exposition on ocean science, engineering, education, and policy. Held annually in the fall, it has become a focal point for the ocean and marine community to meet, learn, and exhibit products and services. The conference includes technical sessions, workshops, student poster sessions, job fairs, tutorials and a large exhibit.

  • OCEANS 2009

  • OCEANS 2010

    The Marine Technology Society and the Oceanic Engineering Scociety of the IEEE cosponsor a joint annual conference and exposition on ocean science engineering, and policy.

  • OCEANS 2011

    The Marine Technology Society and the Oceanic Engineering Scociety of the IEEE cosponsor a joint annual conference and exposition on ocean science engineering, and policy.

  • OCEANS 2012

    Ocean related technology. Tutorials and three days of technical sessions and exhibits. 8-12 parallel technical tracks.

  • OCEANS 2013

    Three days of 8-10 tracks of technical sessions (400-450 papers) and concurent exhibition (150-250 exhibitors)

  • OCEANS 2014

    The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 150-200 exhibits.

  • OCEANS 2015

    The Marine Technology Scociety and the Oceanic Engineering Society of the IEEE cosponor a joint annual conference and exposition on ocean science, engineering, and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 150-200 exhibits.

  • OCEANS 2016

    The Marine Technology Scociety and the Oceanic Engineering Society of the IEEE cosponor a joint annual conference and exposition on ocean science, engineering, and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 500 technical papers and 150 -200 exhibits.

  • OCEANS 2017 - Anchorage

    Papers on ocean technology, exhibits from ocean equipment and service suppliers, student posters and student poster competition, tutorials on ocean technology, workshops and town meetings on policy and governmental process.

  • OCEANS 2018 MTS/IEEE Charleston

    Ocean, coastal, and atmospheric science and technology advances and applications

  • OCEANS 2021 San Diego

    Covering Oceanography as a whole - instrumentation, science, research, biology, subsea and surface vehicles, autonomous vehicles, AUV, ROV, manned submersibles, global climate, oceanography, oceanology, rivers, estuaries, aquatic life and biology, water purity, water treatment, sonar, mapping, charting, navigation, navigation safety, oil and gas, military, and commercial applications of the oceans, subsea mining, hot vents, adn more.


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.

  • OCEANS 2005 - EUROPE

  • OCEANS 2006 - ASIA PACIFIC

  • OCEANS 2007 - EUROPE

    The theme 'Marine Challenges: Coastline to Deep Sea' focuses on the significant challenges, from the shallowest waters around our coasts to the deepest subsea trenches, that face marine, subsea and oceanic engineers in their drive to understand the complexities of the world's oceans.

  • OCEANS 2008 - MTS/IEEE Kobe Techno-Ocean

  • OCEANS 2009 - EUROPE

  • OCEANS 2010 IEEE - Sydney

  • OCEANS 2011 - SPAIN

    All Oceans related technologies.

  • OCEANS 2012 - YEOSU

    The OCEANS conferences covers four days with tutorials, exhibits and three days of parallel tracks that address all aspects of oceanic engineering.

  • OCEANS 2013 - NORWAY

    Ocean related technologies. Program includes tutorials, three days of technical papers and a concurrent exhibition. Student poster competition.

  • OCEANS 2014 - TAIPEI

    The OCEANS conference covers all aspects of ocean engineering from physics aspects through development and operation of undersea vehicles and equipment.

  • OCEANS 2015 - Genova

    The Marine Technology Society and the Oceanic Engineering Society of IEEE cosponsor a joint annual conference and exposition on ocean science, engineering and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 50-200 exhibits.

  • OCEANS 2016 - Shanghai

    Papers on ocean technology, exhibits from ocean equipment and service suppliers, student posters and student poster competition, tutorial on ocean technology, workshops and town hall meetings on policy and governmental process.

  • OCEANS 2017 - Aberdeen

    Papers on ocean technology, exhibits from ocean equipment and service suppliers, student posters and student poster competition, tutorials on ocean technology, workshops and town hall meetings on policy and governmental process.

  • 2018 OCEANS - MTS/IEEE Kobe Techno-Ocean (OTO)

    The conference scope is to provide a thematic umbrella for researchers working in OCEAN engineering and related fields across the world to discuss the problems and potential long term solutions that concernnot only the oceans in Asian pacific region, but the world ocean in general.

  • OCEANS 2019 - Marseille

    Research, Development, and Operations pertaining to the Oceans


IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

All fields of satellite, airborne and ground remote sensing.


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.



Periodicals related to Data assimilation

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Computing in Science & Engineering

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. ...


Engineering Management, IEEE Transactions on

Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.


Geoscience and Remote Sensing Letters, IEEE

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 ...



Most published Xplore authors for Data assimilation

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Xplore Articles related to Data assimilation

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Localized adaptive inflation in ensemble data assimilation for a radiation belt model

Space Weather, 2012

In this work a one-dimensional radial diffusion model for phase space density, together with observational satellite data, is used in an ensemble data assimilation with the purpose of accurately estimating Earth's radiation belt particle distribution. A particular concern in data assimilation for radiation belt models are model deficiencies, which can adversely impact the solution of the assimilation. To adequately address ...


Radiation belt data assimilation with an extended Kalman filter

Space Weather, 2005

Kalman filtering provides an elegant framework for assimilating observational data into time-dependent theoretical models. This paper explores the application of this approach to specify and forecast the radiation belt particle distribution. The Kalman filter is first outlined in a general form. A data assimilation algorithm is then derived for a simple radiation belt forecast model driven by radial diffusion. The ...


Preface to special section on ionospheric effects on radiowave systems (IES2005)

Radio Science, 2006

The 11th International Ionospheric Effects Symposium (IES2005) was held at the Radisson Old Town Hotel, Alexandria, Virginia, 3–5 May 2005. The series of IES conferences, which began life as American topical events, have now been held every 3 years since 1975 and have become a tradition, representing state-of- the-art ionospheric research and applications carried out within the broader international arena.


Data Assimilation Experiments Using Quality Controlled AIRS Version 5 Temperature Soundings

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008

The AIRS Science Team Version 5 retrieval algorithm has been finalized and is now operational at the Goddard DAAC in the processing (and reprocessing) of all AIRS data. The AIRS Science Team Version 5 retrieval algorithm contains two significant improvements over Version 4: 1) Improved physics allows for use of AIRS observations in the entire 4.3 mum CO<sub>2</sub> absorption band ...


From measurement to model: ERS-1 scatterometer data assimilation

Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium, 1993

Discusses the requirements to be fulfilled before observations can be assimilated in numerical models. More specifically, the authors discuss the most important characteristics of ERS-1 scatterometer data and its importance for Numerical Weather Prediction (NWP). They found that measurement noise is extremely low, and that uncertainties in the use of the data are merely a consequence of the interpretation of ...



Educational Resources on Data assimilation

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IEEE-USA E-Books

  • Localized adaptive inflation in ensemble data assimilation for a radiation belt model

    In this work a one-dimensional radial diffusion model for phase space density, together with observational satellite data, is used in an ensemble data assimilation with the purpose of accurately estimating Earth's radiation belt particle distribution. A particular concern in data assimilation for radiation belt models are model deficiencies, which can adversely impact the solution of the assimilation. To adequately address these deficiencies, a localized adaptive covariance inflation technique is implemented in the data assimilation to account for model uncertainty. Numerical results from identical-twin experiments, where data is generated from the same model, as well as the assimilation of real observational data, are presented. The results show improvement in the predictive skill of the model solution due to the proper inclusion of model errors in the data assimilation.

  • Radiation belt data assimilation with an extended Kalman filter

    Kalman filtering provides an elegant framework for assimilating observational data into time-dependent theoretical models. This paper explores the application of this approach to specify and forecast the radiation belt particle distribution. The Kalman filter is first outlined in a general form. A data assimilation algorithm is then derived for a simple radiation belt forecast model driven by radial diffusion. The model assimilates particle flux measurements from spacecraft in the equatorial plane, using an external magnetic field model to calculate adiabatic invariants and phase space density. The algorithm is tested in a series of virtual experiments, with data from an idealized magnetic storm simulation. Compared to assimilation by direct insertion of data, the Kalman filter more accurately reconstructs the global particle distribution from sparse observational data. We examine the response of the filter to errors in the observations, magnetic field model, and forecast model and discuss the application of this approach to more realistic models and data sets.

  • Preface to special section on ionospheric effects on radiowave systems (IES2005)

    The 11th International Ionospheric Effects Symposium (IES2005) was held at the Radisson Old Town Hotel, Alexandria, Virginia, 3–5 May 2005. The series of IES conferences, which began life as American topical events, have now been held every 3 years since 1975 and have become a tradition, representing state-of- the-art ionospheric research and applications carried out within the broader international arena.

  • Data Assimilation Experiments Using Quality Controlled AIRS Version 5 Temperature Soundings

    The AIRS Science Team Version 5 retrieval algorithm has been finalized and is now operational at the Goddard DAAC in the processing (and reprocessing) of all AIRS data. The AIRS Science Team Version 5 retrieval algorithm contains two significant improvements over Version 4: 1) Improved physics allows for use of AIRS observations in the entire 4.3 mum CO<sub>2</sub> absorption band in the retrieval of temperature profile T(p) during both day and night. Tropospheric sounding 15 mum CO<sub>2</sub> observations are now used primarily in the generation of cloud cleared radiances Rcirc<sub>i</sub>. This approach allows for the generation of accurate values of Rcirc<sub>i</sub> and T(p) under most cloud conditions. 2) Another very significant improvement in Version 5 is the ability to generate accurate case-by-case, level-by-level error estimates for the atmospheric temperature profile, as well as for channel-by-channel error estimates for Rcirc<sub>i</sub>. These error estimates are used for quality control of the retrieved products. We have conducted forecast impact experiments assimilating AIRS temperature profiles with different levels of quality control using the NASA GEOS-5 data assimilation system. Assimilation of quality controlled T(p) resulted in significantly improved forecast skill compared to that obtained from analyses obtained when all data used operationally by NCEP, except for AIRS data, is assimilated. We also conducted an experiment assimilating AIRS radiances uncontaminated by clouds, as done operationally by ECMWF and NCEP. Forecast resulting from assimilated AIRS radiances were of poorer quality than those obtained assimilating AIRS temperatures.

  • From measurement to model: ERS-1 scatterometer data assimilation

    Discusses the requirements to be fulfilled before observations can be assimilated in numerical models. More specifically, the authors discuss the most important characteristics of ERS-1 scatterometer data and its importance for Numerical Weather Prediction (NWP). They found that measurement noise is extremely low, and that uncertainties in the use of the data are merely a consequence of the interpretation of the measurements in terms of geophysical quantities on the spatial and timely scale of the NWP model. They show that the measurements of radar backscatter, /spl sigmasup 0/, can in first order be interpreted as observations of the surface wind vector. Collocation statistics of scatterometer retrieved winds show that these are more accurate than operationally available conventional surface wind observations. The low measurement noise makes it more practicable to use retrieved winds rather than /spl sigmasup 0/'s as input for variational NWP data assimilation schemes.<<ETX>>

  • Wavelet ensemble Kalman filters

    We present a new type of the EnKF for data assimilation in spatial models that uses diagonal approximation of the state covariance in the wavelet space to achieve adaptive localization. The efficiency of the new method is demonstrated on an example.

  • Multi-resolution data assimilation for missing data interpolation in geophysical sequences

    To evaluate the proposed model we used SST and SSS observations. High resolution SST observations are taken from the METOP dataset and corresponding low resolution observations from the REMSS database. High and low resolution SSS observations are taken from the ESA/SMOS (European Space Agency/Soil Moisture and Ocean Salinity) database.

  • Modeling the drift of Japan Tsunami Marine Debris (JTMD): An application of high computing simulation and data assimilation

    We conducted drift simulations of tsunami debris flushed out from the Tohoku district, Japan into the North Pacific in the wake of the catastrophic tsunami on March 11, 2011 to monitor and forecast the drift path over the entire North Pacific. The results showed that the tsunami debris was first transported eastward by both the intense Kuroshio Extension and westerly winds, spreading northward and southward under the influence of both an energetic ocean eddy and a storm track over the ocean. Tsunami debris with larger windage was transported over the North Pacific by ocean surface winds rather than ocean currents and arrived at the west coast of North America in the fall of 2011.

  • An integrated approach to improving tsunami warning and mitigation

    Summary form only given. NOAA has a goal to mitigate the tsunami hazard to Hawaii, California, Oregon, Washington, Alaska, and U.S. possessions in the Pacific region. Fulfilling this goal requires research, development and implementation of tsunami forecasts (with increased accuracy and speed) and the creation of state-of-the-art inundation maps. The strategy is to focus research and development on advanced technologies for: (a) field measurements using a real-time tsunami warning network and (b) numerical modeling-pre- computed databases of tsunami simulations for rapid forecasting of tsunami heights (tuned to particular tsunami events using data assimilation from the real-time buoy network) and inundation maps for threatened coastal communities (generated in cooperation with various institutions and agencies). The Project has also taken the lead in the creation of Web-based Tsunami Community Modeling Activities to share software, data, simulations, and expertise among institutions and agencies involved in tsunami modeling. This broad approach to tsunami mitigation is both necessary and a challenge since it requires the coordination and integration of instrument development, numerical modeling and Web-based implementation. The authors present examples of this work for Pacific tsunamis that are incident on Hawaii and the Oregon Coast.

  • Spatial Correlation Patterns of L-Band Microwave Brightness Temperature

    Incorporating the spatial correlation information into the land data assimilation system provides the opportunities to improve the analysis quality of the assimilation system. In order to make use of the spatial autocorrelation information effectively in the land data assimilation system, we used the geostatistics to explore and describe the spatial variations of the microwave brightness temperature data. The corresponding experimental semivariogram model, covariance model, nugget effect, sill value and range were calculated. Then these results were applied to the localization of the microwave remote sensing observation error covariance successfully, and played an important role regarding the enhanced performance of the direct radiance assimilation system.



Standards related to Data assimilation

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No standards are currently tagged "Data assimilation"