Výsledky vyhledávání - "Matthias Tuma"

Advancing Global and Regional Reanalyses

Publikováno v: Bulletin of the American Meteorological Society 99 (2018): ES139–ES144. doi:10.1175/BAMS-D-17-0312.1
info:cnr-pdr/source/autori:Buizza, Roberto; Poli, Paul; Rixen, Michel; Alonso-Balmaseda, Magdalena; Bosilovich, Michael G.; Bronnimann, Stefan; Compo, Gilbert P.; Dee, Dick P.; Desiato, Franco; Doutriaux-Boucher, Marie; Fujiwara, Masatomo; Kaiser-Weiss, Andrea K.; Kobayashi, Shinya; Liu, Zhiquan; Masina, Simona; Mathieu, Pierre-Philippe; Rayner, Nick; Richter, Carolin; Seneviratne, Sonia I.; Simmons, Adrian J.; Thepaut, Jean-Noel; Auger, Jeffrey D.; Bechtold, Michel; Berntell, Ellen; Dong, Bo; Kozubek, Michal; Sharif, Khaled; Thomas, Christopher; Schimanke, Semjon; Storto, Andrea; Tuma, Matthias; Valisuo, Ilona; Vaselali, Alireza/titolo:ADVANCING GLOBAL AND REGIONAL REANALYSES/doi:10.1175%2FBAMS-D-17-0312.1/rivista:Bulletin of the American Meteorological Society/anno:2018/pagina_da:ES139/pagina_a:ES144/intervallo_pagine:ES139–ES144/volume:99
Buizza, Roberto; Poli, Paul; Rixen, Michel; Alonso-Balmaseda, Magdalena; Bosilovich, Michael G.; Brönnimann, Stefan; Compo, Gilbert P.; Dee, Dick P.; Desiato, Franco; Doutriaux-Boucher, Marie; Fujiwara, Masatomo; Kaiser-Weiss, Andrea K.; Kobayashi, Shinya; Liu, Zhiquan; Masina, Simona; Mathieu, Pierre-Philippe; Rayner, Nick; Richter, Carolin; Seneviratne, Sonia I.; Simmons, Adrian J.; ... (2018). Advancing Global and Regional Reanalyses. Bulletin of the American Meteorological Society, 99(8), ES139-ES144. American Meteorological Society 10.1175/BAMS-D-17-0312.1

This report outlines the structure of and summarizes the recommendations made at the 5th International Conference on Reanalysis (ICR5), attended by 259 participants from 37 countries, in Rome (Italy), on 13-17 November 2017. It first summarizes the c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdb6b268c8c95d21b7c9a8d8dc903d6a
https://doi.org/10.1175/bams-d-17-0312.1

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Towards operational predictions of the near-term climate

Publikováno v: Nature Climate Change
Nature Climate Change, 9 . pp. 94-101.

Near-term climate predictions — which operate on annual to decadal timescales — offer benefits for climate adaptation and resilience, and are thus important for society. Although skilful near-term predictions are now possible, particularly when c

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A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT)

Autor: Abdirahman M Omar, J. Severino P. Ibánhez, Peter Landschützer, Dorothee C. E. Bakker, Christopher W. Hunt, Richard A. Feely, Camilla S. Landa, Liliane Merlivat, Lisa L. Robbins, Akira Kuwata, K. Smith, Kazuaki Tadokoro, Jacqueline Boutin, Betty Huss, Naomi Greenwood, Yann Bozec, Bernd Schneider, Alejandro A. Bianchi, Mario Hoppema, Adrienne J. Sutton, S. Hankin, Tsuneo Ono, Bronte Tilbrook, Wiley Evans, Kim I. Currie, Leticia Barbero, David R. Munro, Matthias Tuma, Stewart C Sutherland, Ansley Manke, Nathalie Lefèvre, Evangelia Krasakopoulou, S. Harasawa, Denis Pierrot, Catherine Goyet, Brian Ward, Judith Hauck, Are Olsen, R. D. Castle, K. O'Brien, Nick J. Hardman-Mountford, Eugene Burger, Wei-Jun Cai, Jérôme Harlay, Joe Salisbury, Arne Körtzinger, Shin-Ichiro Nakaoka, Yukihiro Nojiri, Akihiko Murata, Frank J. Millero, Tobias Steinhoff, Carlos F. Balestrini, Truls Johannessen, Melissa Chierici, Alex Kozyr, Andrew J. Watson, Catherine E Cosca, Ingunn Skjelvan, Taro Takahashi, Charles Featherstone, Nicolas Metzl, Agneta Fransson, Chisato Wada, Ralph F. Keeling, David A. Pearce, Steven van Heuven, Doug Vandemark, Rainer Sieger, Matthew P. Humphreys, Kevin F. Sullivan, Reiner Schlitzer, Rik Wanninkhof, Timothy Newberger, K. Paterson, Vassilis Kitidis, Suqing Xu, Siv K. Lauvset, Liqi Chen, Nicholas R. Bates, Ute Schuster, Colm Sweeney, Frédéric Bonou, Luke Gregor, Roland Schweitzer, Claire Lo Monaco, S. Saito, Benjamin Pfeil, Pedro M. S. Monteiro, Jeremy T. Mathis, Stephen D. Jones, Maciej Telszewski, Simone R. Alin

Publikováno v: Earth System Science Data. 8:383-413

The Surface Ocean CO2 Atlas (SOCAT) is a synthesis of quality-controlled fCO2 (fugacity of carbon dioxide) values for the global surface oceans and coastal seas with regular updates. Version 3 of SOCAT has 14.7 million fCO2 values from 3646 data sets

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https://doi.org/10.5194/essd-8-383-2016

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Integrated Optimization of Long-Range Underwater Signal Detection, Feature Extraction, and Classification for Nuclear Treaty Monitoring

Autor: Mark K. Prior, Valdemar Rorbech, Matthias Tuma, Christian Igel

Publikováno v: IEEE Transactions on Geoscience and Remote Sensing, 6, 54, 3649-3659

We designed and jointly optimized an integrated signal processing chain for detection and classification of long-range passive-acoustic underwater signals recorded by the global geophysical monitoring network of the Comprehensive Nuclear-Test-Ban Tre

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https://doi.org/10.1109/tgrs.2016.2522972

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Climate research must sharpen its view

Autor: Sophie Nowicki, Paul A. O'Gorman, Sandrine Bony, Christian Jakob, Ed Hawkins, Katsia Paulavets, Paul A. Dirmeyer, Sarah E. Perkins-Kirkpatrick, Bjorn Stevens, Sonia I. Seneviratne, Jochem Marotzke, Corinne Le Quéré, Matthias Tuma

Publikováno v: ResearcherID
Nature Climate Change
Nature Climate Change, 2017, 7, pp.89-91. ⟨10.1038/nclimate3206⟩

International audience; Human activity is changing Earth's climate. Now that this has been acknowledged and accepted in international negotiations, climate research needs to define its next frontiers.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2c3ef956df83c8f278f7915d11da418
https://doi.org/10.1038/nclimate3206

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A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT)

Autor: Dorothee C. E. Bakker, Benjamin Pfeil, Camilla S. Landa, Nicolas Metzl, Kevin M. O'Brien, Are Olsen, Karl Smith, Cathy Cosca, Sumiko Harasawa, Stephen D. Jones, Shin-ichiro Nakaoka, Yukihiro Nojiri, Ute Schuster, Tobias Steinhoff, Colm Sweeney, Taro Takahashi, Bronte Tilbrook, Chisato Wada, Rik Wanninkhof, Simone R. Alin, Carlos F. Balestrini, Leticia Barbero, Nicholas R. Bates, Alejandro A. Bianchi, Frédéric Bonou, Jacqueline Boutin, Yann Bozec, Eugene F. Burger, Wei-Jun Cai, Robert D. Castle, Liqi Chen, Melissa Chierici, Kim Currie, Wiley Evans, Charles Featherstone, Richard A. Feely, Agneta Fransson, Catherine Goyet, Naomi Greenwood, Luke Gregor, Steven Hankin, Nick J. Hardman-Mountford, Jérôme Harlay, Judith Hauck, Mario Hoppema, Matthew P. Humphreys, Christopher W. Hunt, Betty Huss, J. Severino P. Ibánhez, Truls Johannessen, Ralph Keeling, Vassilis Kitidis, Arne Körtzinger, Alex Kozyr, Evangelia Krasakopoulou, Akira Kuwata, Peter Landschützer, Siv K. Lauvset, Nathalie Lefèvre, Claire Lo Monaco, Ansley Manke, Jeremy T. Mathis, Liliane Merlivat, Frank J. Millero, Pedro M. S. Monteiro, David R. Munro, Akihiko Murata, Timothy Newberger, Abdirahman M. Omar, Tsuneo Ono, Kristina Paterson, David Pearce, Denis Pierrot, Lisa L. Robbins, Shu Saito, Joe Salisbury, Reiner Schlitzer, Bernd Schneider, Roland Schweitzer, Rainer Sieger, Ingunn Skjelvan, Kevin F. Sullivan, Stewart C. Sutherland, Adrienne J. Sutton, Kazuaki Tadokoro, Maciej Telszewski, Matthias Tuma, Steven M. A. C. Van Heuven, Doug Vandemark, Brian Ward, Andrew J. Watson, Suqing Xu

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https://doi.org/10.5194/essd-2016-15

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Improved Working Set Selection for LaRank

Autor: Matthias Tuma, Christian Igel

Publikováno v: Computer Analysis of Images and Patterns ISBN: 9783642236716
CAIP (1)

LaRank is a multi-class support vector machine training algorithm for approximate online and batch learning based on sequential minimal optimization. For batch learning, LaRank performs one or more learning epochs over the training set. One epoch seq

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https://doi.org/10.1007/978-3-642-23672-3_40

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Hydroacoustic Signal Classification Using Kernel Functions for Variable Feature Sets

Autor: Mark K. Prior, Christian Igel, Matthias Tuma

Publikováno v: ICPR

Large-scale geophysical monitoring systems raise the need for real-time feature extraction and signal classification. We study support vector machine (SVM) classification of hydroacoustic signals recorded by the Comprehensive Nuclear-Test-Ban Treaty'

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https://doi.org/10.1109/icpr.2010.253

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