Mon. May 27, 2019 4:30 PM - 4:45 PM

[PEM12-23] Operational Forecasting of Solar Flares using Deep Neural Network

*Naoto Nishizuka¹, Yuki Kubo¹, Komei Sugiura¹, Mitsue Den¹, Mamoru Ishii¹ (1.National Institute of Information and Communications Technology)

[P-EM12] Space Weather and Space Climate

[E] Oral
｜P (Space and Planetary Sciences )
| P-EM Solar-Terrestrial Sciences, Space Electromagnetism & Space Environment

Mon. May 27, 2019 3:30 PM - 5:00 PM A04 (TOKYO BAY MAKUHARI HALL)

convener:Ryuho Kataoka(National Institute of Polar Research), Antti A Pulkkinen(NASA Goddard Space Flight Center), Kanya Kusano(Institute for Space-Earth Environmental Research, Nagoya University), Kaori Sakaguchi(National Institute of Information and Communications Technology), Chairperson:Kanya Kusano(Nagoya University)

Wed. May 29, 2019 12:00 AM - 12:00 AM

[PEM13-P06] Automatic determination of Upper Hybrid Resonance Frequencies by Convolutional Neural Network.

*Shoya Matsuda¹, Tatsuhito Hasegawa², Atsushi Kumamoto³, Fuminori Tsuchiya³, Yoshiya Kasahara⁴, Yoshizumi Miyoshi⁵, Yasumasa Kasaba³, Ayako Matsuoka¹ (1.Institute of Space and Astronautical Science/Japan Aerospace Exploration Agency, 2.University of Fukui, 3.Tohoku University, 4.Kanazawa University, 5.ISEE, Nagoya University)

[P-EM13] Inner magnetosphere: Recent understanding and new insights

[E] Poster
｜P (Space and Planetary Sciences )
| P-EM Solar-Terrestrial Sciences, Space Electromagnetism & Space Environment

Wed. May 29, 2019 3:30 PM - 5:00 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Yusuke Ebihara(Research Institute for Sustainable Humanosphere, Kyoto University), Danny Summers(Memorial University of Newfoundland), Yoshizumi Miyoshi(Institute for Space-Earth Environmental Research, Nagoya University), Shinji Saito(Graduate School of Science, Nagoya University)

Thu. May 30, 2019 12:00 AM - 12:00 AM

[PEM16-P11] Detection of spread-F echoes in ionograms using machine learning

*Hiroyuki Nakata¹, Yuta Goto², Hiroyo Ohya¹, Toshiaki Takano¹ (1.Graduate School of Engineering, Chiba University, 2.Department of Electrical and Electronics Engineering)

[P-EM16] Physics and Chemistry in the Atmosphere and Ionosphere

[J] Poster
｜P (Space and Planetary Sciences )
| P-EM Solar-Terrestrial Sciences, Space Electromagnetism & Space Environment

Thu. May 30, 2019 3:30 PM - 5:00 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Yuichi Otsuka(Institute for Space-Earth Environmental Research, Nagoya University), Takuya Tsugawa(National Institute of Information and Communications Technology), Seiji Kawamura(National Institute of Information and Communications Technology)

Tue. May 28, 2019 12:00 AM - 12:00 AM

[ACG39-P06] Estimation of terrestrial carbon cycle in Asia using a machine learning and satellite data

*Riku Kawase¹, Kazuhito Ichii², Yusuke hayashi¹, Zhiyan Liu¹, Masahito Ueyama³, Yuji Kominami⁴ (1.Chiba University, 2.Center for Environmental Remote Sensing, Chiba University, 3.Osaka Prefecture University, 4.Forest Research and Management Organization )

[A-CG39] Biogeochemical cycles in Land Ecosystem

[J] Poster
｜A (Atmospheric and Hydrospheric Sciences )
| A-CG Complex & General

Tue. May 28, 2019 1:45 PM - 3:15 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Tomomichi Kato(Research Faculty of Agriculture, Hokkaido University), Kazuhito Ichii(Chiba University), Takeshi Ise(FSERC, Kyoto University), Munemasa Teramoto(National Institute for Environmental Studies)

Thu. May 30, 2019 9:45 AM - 10:00 AM

[ACG37-04] Prediction of wildfire and air pollution with machine learning over the five domains of Eastern Eurasia

*Teppei J Yasunari^1,2, Ichigaku Takigawa³, Kyu-Myong Kim⁴, Arlindo M da Silva⁴ (1.Faculty of Engineering, Hokkaido University, 2.Arctic Research Center, Hokkaido University, 3.Graduate School of Information Science and Technology, Hokkaido University, 4.NASA Goddard Space Flight Center)

[A-CG37] Science in the Arctic Region

[J] Oral
｜A (Atmospheric and Hydrospheric Sciences )
| A-CG Complex & General

Thu. May 30, 2019 9:00 AM - 10:30 AM 303 (3F)

convener:NAOYA KANNA(Arctic Research Center, Hokkaido University), Masashi Niwano(Meteorological Research Institute), Tetsu Nakamura(Faculty of Environmental Earth Science, Hokkaido University), Shunsuke Tei(Arctic Research Center, Hokkaido University), Chairperson:Tetsu Nakamura(Faculty of Earth Environmental Science, Hokkaido University), Shunsuke Tei(Arctic Research Center, Hokkaido University)

Thu. May 30, 2019 10:50 AM - 11:20 AM

[ACG36-01] Recent Progress in Deep Neural Network Architectures and their Applications

★Invited Papers

*Shinichi Shirakawa¹ (1.Yokohama National University)

[A-CG36] Earth & Environmental Sciences and Artificial Intelligence

[J] Oral
｜A (Atmospheric and Hydrospheric Sciences )
| A-CG Complex & General

Thu. May 30, 2019 10:45 AM - 12:15 PM 106 (1F)

convener:Tomohiko Tomita(Faculty of Advanced Science and Technology, Kumamoto University), Ken-ichi Fukui(Osaka University), Daisuke Matsuoka(Japan Agency for Marine-Earth Science and Technology), Satoshi Ono(Kagoshima University), Chairperson:Tomohiko Tomita(Kumamoto University, Faculty of Advanced Science and Technology)

Thu. May 30, 2019 11:20 AM - 11:35 AM

[ACG36-02] Improving performance of oxidant prediction using machine learning by optimizing input data based on atmospheric science knowledge

*Tomohiro Sato¹, Peijiang Zhao¹, Koji Zettsu¹ (1.National Institute of Information and Communications Technology)

[A-CG36] Earth & Environmental Sciences and Artificial Intelligence

[J] Oral
｜A (Atmospheric and Hydrospheric Sciences )
| A-CG Complex & General

Thu. May 30, 2019 10:45 AM - 12:15 PM 106 (1F)

convener:Tomohiko Tomita(Faculty of Advanced Science and Technology, Kumamoto University), Ken-ichi Fukui(Osaka University), Daisuke Matsuoka(Japan Agency for Marine-Earth Science and Technology), Satoshi Ono(Kagoshima University), Chairperson:Tomohiko Tomita(Kumamoto University, Faculty of Advanced Science and Technology)

Thu. May 30, 2019 12:00 AM - 12:00 AM

[ACG36-P05] Application of deep learning techniques to precipitation guidance in short-term weather predictions

*TAKERU KURAKAMI¹, Kazuyoshi Souma¹, Takashi Miyamoto¹, Takahiko Huruya¹, Jun Magome¹, Hiroshi Ishidaira¹ (1.University of Yamanashi)

[A-CG36] Earth & Environmental Sciences and Artificial Intelligence

[J] Poster
｜A (Atmospheric and Hydrospheric Sciences )
| A-CG Complex & General

Thu. May 30, 2019 3:30 PM - 5:00 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Tomohiko Tomita(Faculty of Advanced Science and Technology, Kumamoto University), Ken-ichi Fukui(Osaka University), Daisuke Matsuoka(Japan Agency for Marine-Earth Science and Technology), Satoshi Ono(Kagoshima University)

Wed. May 29, 2019 12:00 AM - 12:00 AM

[HSC07-P02] Technical Challenges of Machine Learning Approach for Porosity Estimation in Nagaoka CCS site

*Takayuki Miyoshi¹, Takahiro Nakajima¹, Ziqiu Xue¹ (1.Research Institute of Innovative Technology for the Earth)

[H-SC07] CCUS (Carbon Dioxide Capture, Utilization, and Storage) for Climate Mitigation

[J] Poster
｜H (Human Geosciences )
| H-SC Social Earth Sciences & Civil/Urban System Sciences

Wed. May 29, 2019 3:30 PM - 5:00 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Masao Sorai(Institute for Geo-Resources and Environment, National Institute of Advanced Industrial Science and Technology), Ziqiu Xue(Research Institute of Innovative Tech for the Earth), Masaatsu Aichi(Graduate School of Frontier Sciences, University of Tokyo)

Wed. May 29, 2019 9:30 AM - 9:45 AM

[HDS13-09] Maximum tsunami height prediction using Ocean-Bottom Pressure Values based on Gaussian Process Regression

*Kotaro Takahashi¹, Kenjiro Kashiwabara¹, Yasuhiko Igarashi^1,2, Toshitaka Baba³, Takane Hori⁴, Masato Okada¹ (1.Graduate School of Frontier Sciences, The University of Tokyo, 2.Japan Science and Technology Agency PRESTO, 3.Institute of Technology and Science, The University of Tokushima, 4.Research and Development Center for Earthquake and Tsunami, Japan Agency for Marine-Earth Science and Technology)

[H-DS13] Tsunami and Tsunami Forecast

[J] Oral
｜H (Human Geosciences )
| H-DS Disaster geosciences

Wed. May 29, 2019 9:00 AM - 10:30 AM Convention Hall B (2F)

convener:Naotaka YAMAMOTO CHIKASADA(National Research Institute for Earth Science and Disaster Resilience), Hiroaki Tsushima(Japan Meteorological Agency), Tatsuya Kubota(National Research Institute for Earth Science and Disaster Resilience), Chairperson:Masaaki Minami(気象研究所), Naotaka Chikasada(National Res. Inst. for Earth Science and Disaster Resilience)

Presentations by Keyword

Keywords : 機械学習

[PEM12-23] Operational Forecasting of Solar Flares using Deep Neural Network

[P-EM12] Space Weather and Space Climate

[PEM13-P06] Automatic determination of Upper Hybrid Resonance Frequencies by Convolutional Neural Network.

[P-EM13] Inner magnetosphere: Recent understanding and new insights

[PEM16-P11] Detection of spread-F echoes in ionograms using machine learning

[P-EM16] Physics and Chemistry in the Atmosphere and Ionosphere

[ACG39-P06] Estimation of terrestrial carbon cycle in Asia using a machine learning and satellite data

[A-CG39] Biogeochemical cycles in Land Ecosystem

[ACG37-04] Prediction of wildfire and air pollution with machine learning over the five domains of Eastern Eurasia

[A-CG37] Science in the Arctic Region

[ACG36-01] Recent Progress in Deep Neural Network Architectures and their Applications

★Invited Papers

[A-CG36] Earth & Environmental Sciences and Artificial Intelligence

[ACG36-02] Improving performance of oxidant prediction using machine learning by optimizing input data based on atmospheric science knowledge

[A-CG36] Earth & Environmental Sciences and Artificial Intelligence

[ACG36-P05] Application of deep learning techniques to precipitation guidance in short-term weather predictions

[A-CG36] Earth & Environmental Sciences and Artificial Intelligence

[HSC07-P02] Technical Challenges of Machine Learning Approach for Porosity Estimation in Nagaoka CCS site

[H-SC07] CCUS (Carbon Dioxide Capture, Utilization, and Storage) for Climate Mitigation

[HDS13-09] Maximum tsunami height prediction using Ocean-Bottom Pressure Values based on Gaussian Process Regression

[H-DS13] Tsunami and Tsunami Forecast