يعرض 1 - 10 نتائج من 12 نتيجة بحث عن '"Roland Stirnberg"', وقت الاستعلام: 0.93s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Assessment of COVID-19 effects on satellite-observed aerosol loading over China with machine learning

    المؤلفون: Hendrik Andersen, Jan Cermak, Roland Stirnberg, Julia Fuchs, Miae Kim, Eva Pauli

    المصدر: Tellus: Series B, Chemical and Physical Meteorology, Vol 73, Iss 1, Pp 1-14 (2021)

    مصطلحات موضوعية: atmospheric aerosols, covid-19, satellite remote sensing, machine learning, Meteorology. Climatology, QC851-999

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1600-0889

    URL الوصول: https://doaj.org/article/0d500a20a2ef4a71a25048e30886d417

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  2. 2
    دورية أكاديمية
    A New Satellite-Based Retrieval of Low-Cloud Liquid-Water Path Using Machine Learning and Meteosat SEVIRI Data

    المؤلفون: Miae Kim, Jan Cermak, Hendrik Andersen, Julia Fuchs, Roland Stirnberg

    المصدر: Remote Sensing, Vol 12, Iss 21, p 3475 (2020)

    مصطلحات موضوعية: liquid water path, geostationary satellite, SEVIRI, CM SAF CLAAS-2, CloudNet, machine learning, Science

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2072-4292/12/21/3475; https://doaj.org/toc/2072-4292

    URL الوصول: https://doaj.org/article/8897eb5e940a4e6489266bee2572ad97

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  3. 3
    دورية أكاديمية
    An Analysis of Factors Influencing the Relationship between Satellite-Derived AOD and Ground-Level PM10

    المؤلفون: Roland Stirnberg, Jan Cermak, Hendrik Andersen

    المصدر: Remote Sensing, Vol 10, Iss 9, p 1353 (2018)

    مصطلحات موضوعية: Aerosol Optical Depth, PM10, MAIAC, MODIS, air quality, boundary layer height, ambient relative humidity, Science

    وصف الملف: electronic resource

    Relation: http://www.mdpi.com/2072-4292/10/9/1353; https://doaj.org/toc/2072-4292

    URL الوصول: https://doaj.org/article/5b0db4a7d07d4c48ad10bf007f546f3f

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  4. 4
    Assessment of COVID-19 effects on satellite-observed aerosol loading over China with machine learning

    المؤلفون: Eva Pauli, Julia Fuchs, Miae Kim, Roland Stirnberg, Hendrik Andersen, Jan Cermak

    المصدر: Tellus B: Chemical and Physical Meteorology
    Tellus: Series B, Chemical and Physical Meteorology, Vol 73, Iss 1, Pp 1-14 (2021)
    Tellus / B, 73 (1), 1–13

    مصطلحات موضوعية: Atmospheric Science, 2019-20 coronavirus outbreak, satellite remote sensing, Coronavirus disease 2019 (COVID-19), business.industry, Climate system, atmospheric aerosols, North china, Machine learning, computer.software_genre, Aerosol, Earth sciences, Human health, machine learning, covid-19, Meteorology. Climatology, ddc:550, Satellite, Artificial intelligence, QC851-999, business, China, computer

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83b3e7dcc7f0ad671efe39cf7d7b3408

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  5. 5
    Author response to Referee#3

    المؤلفون: Roland Stirnberg

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::d569da7d7be534035b79fa8a61647bdd
    https://doi.org/10.5194/acp-2020-469-ac3

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  6. 6
    Author response to Intital Comment

    المؤلفون: Roland Stirnberg

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::a5c6188f420887807002deef1edc0e27
    https://doi.org/10.5194/acp-2020-469-ac1

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  7. 7
    Meteorology-driven variability of air pollution (PM1) revealed with explainable machine learning

    المؤلفون: Roland Stirnberg, Jan Cermak, Simone Kotthaus, Martial Haeffelin, Hendrik Andersen, Julia Fuchs, Miae Kim, Jean-Eudes Petit, Olivier Favez

    المساهمون: Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Chimie Atmosphérique Expérimentale (CAE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut National de l'Environnement Industriel et des Risques (INERIS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)

    المصدر: Atmospheric Chemistry and Physics
    Atmospheric Chemistry and Physics, European Geosciences Union, 2021, 21 (5), pp.3919-3948. ⟨10.5194/acp-21-3919-2021⟩
    Atmospheric Chemistry and Physics, 2021, 21 (5), pp.3919-3948. ⟨10.5194/acp-21-3919-2021⟩

    مصطلحات موضوعية: TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES, 010504 meteorology & atmospheric sciences, 13. Climate action, [SDE]Environmental Sciences, 02 engineering and technology, 021001 nanoscience & nanotechnology, 0210 nano-technology, 01 natural sciences, 0105 earth and related environmental sciences

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08148a007c7f0199eccc77755543fcdc
    https://acp.copernicus.org/preprints/acp-2020-469/

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  8. 8
    Intercomparisons of liquid water path based on SEVIRI images and gradient boosting regression trees with in-situ observations and satellite-derived products

    المؤلفون: Miae Kim, Jan Cermak, Hendrik Andersen, Julia Fuchs, Roland Stirnberg

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ea2b15ebd8792d072f19fe49af5eeabd
    https://doi.org/10.5194/egusphere-egu2020-18806

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  9. 9
    Mapping and Understanding Patterns of Air Quality Using Satellite Data and Machine Learning

    المؤلفون: Jan Cermak, Roland Stirnberg, Hendrik Andersen, Julia Fuchs

    المصدر: Journal of geophysical research / D, 125 (4), Art.e2019JD031380

    مصطلحات موضوعية: Atmospheric Science, 010504 meteorology & atmospheric sciences, Mean squared error, Air pollution, aerosol optical depth, medicine.disease_cause, Machine learning, computer.software_genre, 01 natural sciences, PM10, Satellite data, ddc:550, Earth and Planetary Sciences (miscellaneous), medicine, Air quality index, 0105 earth and related environmental sciences, business.industry, MAIAC, drivers of air pollution, Statistical model, Particulates, air quality, Earth sciences, Boundary layer, machine learning, Geophysics, Space and Planetary Science, Environmental science, Satellite, Artificial intelligence, business, computer

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0d4c17787574ccbf291fe1f9c096d78
    https://doi.org/10.1029/2019jd031380

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  10. 10
    An Analysis of Factors Influencing the Relationship between Satellite-Derived AOD and Ground-Level PM10

    المؤلفون: Andersen, Roland Stirnberg, Jan Cermak, Hendrik

    المصدر: Remote Sensing; Volume 10; Issue 9; Pages: 1353

    مصطلحات موضوعية: Aerosol Optical Depth, PM10, MAIAC, MODIS, air quality, boundary layer height, ambient relative humidity

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=multidiscipl::f243d162125e981a5c592f9c518d71bf

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