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Artificial Intelligence for Air Quality

Deliverables

Data Management Plan (DMP)

A document describing the data management strategy with respect to Open data provision

Publications

Near-surface temperature forecasting by deep learning

Author(s): Gong, Bing; Langguth, Michael; Mozaffari, Amirpasha; Ji, Yianing ; Stadtler, Scarlet; Mache, Karim; Schultz, Martin
Published in: ML for Earth System Modelling and Analytics workshop 2021, online, Germany,, 2021
Publisher: Forschungszentrum Jülich

Performance analysis and optimization of a TByte-scale atmospheric observation database

Author(s): Clara Betancourt; Sabine Schröder; Björn Hagemeier; Martin Schultz
Published in: EGU2020: Sharing Geoscience Online, EGU2020, online, online conference, 2020-05-04 - 2020-05-08, 2020
Publisher: Copernicus
DOI: 10.5194/egusphere-egu2020-13637

A Statistical Model for Automated Quality Assessment of the TOAR-II

Author(s): Najmeh Kaffashzadeh; Kai-Lan Chang; Sabine Schröder; Martin G. Schultz
Published in: "EGU2020: Sharing Geoscience Online, #shareEGU20, Vienna, Austria, 2020-05-04 - 2020-05-08", 2020
Publisher: Copernicus
DOI: 10.5194/egusphere-egu2020-13357

TOAR-II data portal for global measurements of ozone and its precursors

Author(s): Schröder, Sabine; Mozaffari, Amirpasha; Romberg, Mathilde; Selke, Niklas; Leufen, Lukas Hubert; Ahring, Jessica; Schultz, Martin
Published in: CEOS Atmospheric Composition Virtual Constellation AC-VC-18, virtual, Belgium, 2022
Publisher: Forschungszentrum Jülich

Global fine resolution mapping of ozone metrics through explainable machine learning

Author(s): Clara Betancourt; Scarlet Stadtler; Timo Stomberg; Ann-Kathrin Edrich; Ankit Patnala; Ribana Roscher; Julia Kowalski; Martin G. Schultz
Published in: EGU General Assembly 2021, vEGU21, Online, Online, 2021-04-19 - 2021-04-30, 2021
Publisher: Copernicus
DOI: 10.13140/rg.2.2.17134.13123

FAIRness in the multi-service data infrastructure of the Tropospheric Ozone Assessment Report (TOAR) and Artificial Intelligence for Air Quality (IntelliAQ) project

Author(s): Amirpasha Mozaffari; Schröder, Sabine; Apweiler, Sander; Rajveer Saini; Hagemeier, Björn; Schultz, Martin G.
Published in: RDA Deutschland Tagung 2020, Berlin, Germany, 2020-02-25 - 2020-02-27, Issue 1, 2020
Publisher: Research Data Alliance
DOI: 10.13140/rg.2.2.24046.13123

Enhancing FAIRness of global air quality data: The Tropospheric Ozone Assessment Report database

Author(s): Schröder, Sabine. Apweiler, Sander. Saini, Rajveer. Hagemeier, Björn. Schultz, Martin. G.
Published in: Enhancing FAIRness of global air quality data: The Tropospheric Ozone Assessment Report database, 2019
Publisher: Zenodo
DOI: 10.5281/zenodo.3549626

Automatic quality control and quality control schema in the Observation to Archive

Author(s): Silva, Brenner; Kaffashzadeh, Najmeh; Nixdorf, Erik; Immoor, Sebastian; Fischer, Philipp; Anselm, Norbert; Gerchow, Peter; Schäfer, Angela; Koppe, Roland
Published in: "EGU2020: Sharing Geoscience Online, #shareEGU20, Vienna, Austria, 2020-05-04 - 2020-05-08", Issue 1, 2021
Publisher: Copernicus
DOI: 10.5194/egusphere-egu2020-15961

FAIRness in Air Quality and Weather Forecast

Author(s): Mozaffari, Amirpasha; Schröder, Sabine; Apweiler, Sander; Saini, Rajveer; Hagemeier, Björn; Schultz, Martin
Published in: Research Data Alliance 15th Plenary Meeting, RDA 15, Melbourne, Australia, 2020-03-18 - 2020-03-20, 2020
Publisher: Research Data Alliance

The TOAR database: metadata harmonization and data quality assurance on global air quality data

Author(s): Selke, N. Schröder, S. Romberg, M. Ahring, J. Leufen, L. H. Apweiler, S. Schultz, M.
Published in: 2021
Publisher: FZJ

TOAR-II Data Workshop

Author(s): Schultz, Martin. Schröder, Sabine. Selke, Niklas. Epp, Eleonora. Romberg, Mathilde. Sun, Janing. Ahring, Jessica. Mozaffari, Amirphasha. Lensing, Max. Betancourt, Clara. Leufen, Lukas. Hubert. Hagemeier, Björn. Saini, Rajvee.
Published in: 2021
Publisher: Forschungszentrum Jülich

Deep learning for short-term temperature forecasts with video prediction methods

Author(s): Gong, Bing; Stadtler, Scarlet; Langguth, Michael; Mozaffari, Amirpasha; Vogelsang, Jan; Schultz, Martin
Published in: European Geosciences Union 2020, EGU2020, Virtual, Austria, 2020-05-04 - 2020-05-08, 2020
Publisher: Copernicus

Geodata enrichment for air quality

Author(s): Selke, Niklas; Leufen, Lukas Hubert; Mozaffari, Amirpasha; Schröder, Sabine; Schultz, Martin
Published in: Living Planet Symposium 2022, LPS2022, Bonn, Germany, 2022
Publisher: Forschungszentrum Jülich

Prediction of Daily Maximum Ozone Threshold Exceedances by Artificial Intelligence Techniques in Germany

Author(s): Gong, Bing; Kleinert, Felix; Schultz, Martin
Published in: EGU General Assembly 2019, EGU2019, Vienna, Austria, 2019-04-07 - 2019-04-12, 2019
Publisher: Copernicus

Near Surface Ozone Predictions Based on Multiple ANN Architectures

Author(s): Kleinert, Felix; Gong, Bing; Götz, Markus; Schultz, Martin
Published in: EGU General Assembly 2019, EGU2019, Wien, Austria, 2019-04-07 - 2019-04-12, 2019
Publisher: Copernicus

A Web Service Architecture for Objective Station Classification Purposes

Author(s): Martin G. Schultz, Sander Apweiler, Jan Vogelsang, Bjorn Hagemeier, Felix Kleinert, Daniel Mallmann
Published in: 2018 IEEE 14th International Conference on e-Science (e-Science), 2018, Page(s) 283-284, ISBN 978-1-5386-9156-4
Publisher: IEEE
DOI: 10.1109/escience.2018.00051

On the use of containers for machine learning and visualization workflows on JUWELS

Author(s): Gong, Bing; Vogelsang, Jan; Amirpasha Mozaffari; Schultz, Martin
Published in: NIC Symposium 2020, Jülich, Germany, 2020-02-27 - 2020-02-28, 2020
Publisher: Forschungszentrum Jülich
DOI: 10.13140/rg.2.2.27401.57442

A Novel Concept for Automated Quality Control of Atmospheric Time Series

Author(s): Kaffashzadeh, Najmeh; Schröder, Sabine; Schultz, Martin
Published in: European Geoscience Union (EGU), Vienna, Austria, 2019-04-07 - 2019-04-12, 2019
Publisher: Copernicus

TOAR-II Overview and Database

Author(s): Cooper, Owen; Schröder, Sabine; Romberg, Mathilde; Selke, Niklas; Leufen, Lukas Hubert; Ahring, Jessics; Mozaffari, Amirpasha; Schultz, Martin
Published in: 2022
Publisher: Forschungszentrum Jülich

Tropospheric Ozone Assessment Report (TOAR) Data Infrastructure

Author(s): Schröder, Sabine; Epp, Eleonora; Leufen, Lukas Hubert; Mozaffari, Amirpasha; Romberg, Mathilde; Schultz, Martin; Sun, Jianing
Published in: WMO Data Conference, Virtual, Virtual, 2020-11-16 - 2020-11-19, 2020
Publisher: World Meteorological Organisation

Deep Learning for Weather Forecasting and Climate Prediction

Author(s): Martin Schultz
Published in: 2022
Publisher: aiforgood.itu.int

Advancing FAIRness for global air quality data analyses

Author(s): Mozaffari, Amirpasha; Schröder, Sabine ; Romberg, Mathilde ; Epp, Eleonora ; Ahring, Jessica Betancourt, Clara ; Leufen, Lukas Hubert; Kleinert, Felix ; Schultz, Martin
Published in: International Data Week 2022, IDW2022, Seoul, South Korea, 2022
Publisher: Forschungszentrum Jülich

JUWELS Booster – A Supercomputer for Large-Scale AI Research

Author(s): Kesselheim, Stefan; Herten, Andreas; Cavallaro, Gabriele; Sedona, Rocco; Schug, Alexander; Strube, Alexandre; Kamath, Roshni; Schultz, Martin G.; Riedel, Morris; Lippert, Thomas; Krajsek, Kai; Ebert, Jan; Jitsev, Jenia; Cherti, Mehdi; Langguth, Michael; Gong, Bing; Stadtler, Scarlet; Mozaffari, Amirpasha
Published in: Lecture Notes in Computer Science ISBN: 9783030905385, Issue 1, 2022
Publisher: Arxiv-Preprints
DOI: 10.1007/978-3-030-90539-2_31

O3ResNet: A Deep Learning–Based Forecast System to Predict Local Ground-Level Daily Maximum 8-Hour Average Ozone in Rural and Suburban Environments

Author(s): Lukas Hubert Leufen; Felix Kleinert; Martin G. Schultz
Published in: Artificial Intelligence for the Earth Systems, Issue Volume 2, Issue 3, 2023
Publisher: American Meteorological Society
DOI: 10.1175/aies-d-22-0085.1

AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

Author(s): Christian Lessig, Ilaria Luise, Bing Gong, Michael Langguth, Scarlet Stadtler, Martin Schultz
Published in: Arxiv, 2023
Publisher: Cornell University
DOI: 10.48550/arxiv.2308.13280

Mapping Yearly Fine Resolution Global Surface Ozone through the Bayesian Maximum Entropy Data Fusion of Observations and Model Output for 1990–2017

Author(s): Marissa N. DeLang, Jacob S. Becker, Kai-Lan Chang, Marc L. Serre, Owen R. Cooper, Martin G. Schultz, Sabine Schröder, Xiao Lu, Lin Zhang, Makoto Deushi, Beatrice Josse, Christoph A. Keller, Jean-François Lamarque, Meiyun Lin, Junhua Liu, Virginie Marécal, Sarah A. Strode, Kengo Sudo, Simone Tilmes, Li Zhang, Stephanie E. Cleland, Elyssa L. Collins, Michael Brauer, and J. Jason West*
Published in: Environmental Science & Technology, Issue 2021,55,8, 2021, Page(s) 4389-4398
Publisher: ACS Publications
DOI: 10.1021/acs.est.0c07742

Multi-decadal surface ozone trends at globally distributed remote locations

Author(s): Owen R. Cooper, Martin G. Schultz, Sabine Schröder, Kai-Lan Chang, Audrey Gaudel, Gerardo Carbajal Benítez, Emilio Cuevas, Marina Fröhlich, Ian E. Galbally, Suzie Molloy, Dagmar Kubistin, Xiao Lu, Audra McClure-Begley, Philippe Nédélec, Jason O’Brien, Samuel J. Oltmans, Irina Petropavlovskikh, Ludwig Ries, Irina Senik, Karin Sjöberg, Sverre Solberg, Gerard T. Spain, Wolfgang Spangl, Martin
Published in: Knowledge Domain: Atmospheric Science, Issue Elementa: Science of the Anthropocene (2020) 8: 23., 2020
Publisher: ucpress.edu
DOI: 10.1525/elementa.420

Trend detection of atmospheric time series: Incorporating appropriate uncertainty estimates and handling extreme events

Author(s): Kai-Lan Chang, Martin G. Schultz, Xin Lan, Audra McClure-Begley, Irina Petropavlovskikh, Xiaobin Xu, Jerald R. Ziemke
Published in: Elementa Science of the Anthropocene, Issue (2021) 9 (1): 00035, 2021
Publisher: ucpress.edu
DOI: 10.1525/elementa.2021.00035

Advancing caching and automation with FDO

Author(s): Amirpasha Mozaffari, Niklas Selke, Martin Schultz
Published in: Research Ideas and Outcomes, Issue 8, e94856, 2022
Publisher: Pensoft
DOI: 10.3897/rio.8.e94856

AQ-Bench: A Benchmark Dataset for Machine Learning on GlobalAir Quality Metrics

Author(s): Clara Betancourt; Timo Stomberg; Scarlet Stadtler; Ribana Roscher; Martin G. Schultz
Published in: Earth System Science Data, 2021, ISSN 1866-3516
Publisher: Copernicus
DOI: 10.5194/essd-2020-380

MLAir (v1.0) – a tool to enable fast and flexible machine learning on air data time series

Author(s): Lukas Hubert Leufen, Felix Kleinert, Martin G. Schultz
Published in: Geoscientific Model Development, Issue 14/3, 2021, Page(s) 1553-1574, ISSN 1991-9603
Publisher: Copernicus
DOI: 10.5194/gmd-14-1553-2021

Can deep learning beat numerical weather prediction?

Author(s): M. G. Schultz, C. Betancourt, B. Gong, F. Kleinert, M. Langguth, L. H. Leufen, A. Mozaffari, S. Stadtler
Published in: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Issue 379/2194, 2021, Page(s) 20200097, ISSN 1364-503X
Publisher: Royal Society of London
DOI: 10.1098/rsta.2020.0097

Explainable Machine Learning Reveals Capabilities, Redundancy, and Limitations of a Geospatial Air Quality Benchmark Dataset

Author(s): Scarlet Stadtler; Ribana Roscher; Clara Betancourt
Published in: Machine Learning and Knowledge Extraction; Volume 4; Issue 1; Pages: 150-171, Issue 1, 2022, ISSN 2504-4990
Publisher: MDPI
DOI: 10.3390/make4010008

Artificial Intelligence for Air Quality

Author(s): Martin Schultz
Published in: The Project Repository Journal (PRj), Issue Volume 6, June 2020, 2020, Page(s) 30-32, ISSN 2632-4067
Publisher: http://www.europeandissemination.eu/

IntelliO3-ts v1.0: A neural network approach to predict near-surface ozone concentrations in Germany

Author(s): Lukas Hubert Leufen; Martin Schultz; Felix Kleinert
Published in: Geoscientific model development 14(1), 1 - 25 (2021). doi:10.5194/gmd-14-1-2021, 2021, ISSN 1991-9603
Publisher: Copernicus
DOI: 10.5194/gmd-2020-169

IntelliO3-ts v1.0: a neural network approach to predict near-surface ozone concentrations in Germany

Author(s): Felix Kleinert, Lukas H. Leufen, Martin G. Schultz
Published in: Geoscientific Model Development, Issue 14/1, 2021, Page(s) 1-25, ISSN 1991-9603
Publisher: Copernicus GmbH
DOI: 10.5194/gmd-14-1-2021

Context aware benchmarking and tuning of a TByte-scale air quality database and web service

Author(s): Clara Betancourt, Björn Hagemeier, Sabine Schröder, Martin G. Schultz
Published in: Earth Science Informatics, Issue 14/3, 2021, Page(s) 1597-1607, ISSN 1865-0473
Publisher: Springer Verlag
DOI: 10.1007/s12145-021-00631-4

Enabling Canonical Analysis Workflows Documented Data Harmonization on Global Air Quality Data

Author(s): Sabine Schröder, Eleonora Epp, Amirpasha Mozaffari, Mathilde Romberg, Niklas Selke, Martin G. Schultz
Published in: Data Intelligence, Issue Volume 4, Issue 2, 2022, Page(s) 259 - 270, ISSN 2641-435X
Publisher: MIT Press Cambridge
DOI: 10.1162/dint_a_00130

Canonical Workflows to Make Data FAIR

Author(s): Peter Wittenburg, Alex Hardisty, Yann Le Franc, Amirpasha Mozaffari, Limor Peer, Nikolay A. Skvortsov, Zhiming Zhao, Alessandro Spinuso
Published in: Data Intelligence, Issue Volume 4, Issue 2, 2022, Page(s) 286–305, ISSN 2641-435X
Publisher: MIT Press Cambridge
DOI: 10.1162/dint_a_00132

Exploring decomposition of temporal patterns to facilitate learning of neural networks for ground-level daily maximum 8-hour average ozone prediction

Author(s): Lukas Hubert Leufen, Felix Kleinert, Martin G. Schultz
Published in: Environmental Data Science, 2022, ISSN 2634-4602
Publisher: Cambridge University Press
DOI: 10.1017/eds.2022.9

Using Regionalized Air Quality Model Performance and Bayesian Maximum Entropy data fusion to map global surface ozone concentration

Author(s): Jacob S. Becker, Marissa N. DeLang, Kai-Lan Chang, Marc L. Serre, Owen R. Cooper, Hantao Wang, Martin G. Schultz, Sabine Schröder, Xiao Lu, Lin Zhang, Makoto Deushi, Beatrice Josse, Christoph A. Keller, Jean-François Lamarque, Meiyun Lin, Junhua Liu, Virginie Marécal, Sarah A. Strode, Kengo Sudo, Simone Tilmes, Li Zhang, Michael Brauer, J. Jason West
Published in: Elementa: Science of the Anthropocene, Issue (2023) 11 (1): 00025, 2023, ISSN 2325-1026
Publisher: University of California Press
DOI: 10.1525/elementa.2022.00025

Editors’ Note: Special Issue on Canonical Workflow Frameworks for Research

Author(s): Peter Wittenburg, Alex Hardisty, Amirpasha Mozzafari, Limor Peer, Nikolay Skvortsov, Alessandro Spinuso, Zhiming Zhao
Published in: Data Intelligence, Issue Volume 4, Issue 2, 2022, Page(s) 149–154, ISSN 2641-435X
Publisher: MIT Press Cambridge
DOI: 10.1162/dint_e_00122

Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties

Author(s): Clara Betancourt, Timo T. Stomberg, Ann-Kathrin Edrich, Ankit Patnala, Martin G. Schultz, Ribana Roscher, Julia Kowalski, and Scarlet Stadtler
Published in: Geoscientific Model Development, Issue Volume 15, Issue 11, 2022, Page(s) 4331-4354, ISSN 1991-9603
Publisher: Copernicus Publications
DOI: 10.5194/gmd-15-4331-2022

Tropospheric Ozone Assessment Report: Database and metrics data of global surface ozone observations

Author(s): Martin G. Schultz, Sabine Schröder, Olga Lyapina, Owen R. Cooper, Ian Galbally, Irina Petropavlovskikh, Erika von Schneidemesser, Hiroshi Tanimoto, Yasin Elshorbany, Manish Naja, Rodrigo J. Seguel, Ute Dauert, Paul Eckhardt, Stefan Feigenspan, Markus Fiebig, Anne-Gunn Hjellbrekke, You-Deog Hong, Peter Christian Kjeld, Hiroshi Koide, Gary Lear, David Tarasick, Mikio Ueno, Markus Wallasch, Darrel B
Published in: Elementa Science of the Anthropocene, Issue 5, 2017, Page(s) 58, ISSN 2325-1026
Publisher: BioOne
DOI: 10.1525/elementa.244

Generating Views Using Atmospheric Correction for Contrastive Self-Supervised Learning of Multispectral Images

Author(s): Ankit Patnala; Scarlet Stadtler; Martin G. Schultz; Juergen Gall
Published in: IEEE Geoscience and Remote Sensing Letters, Issue Volume 20, 2023, ISSN 1558-0571
Publisher: IEEE journal
DOI: 10.1109/lgrs.2023.3274493

Temperature forecasting by deep learning methods

Author(s): Bing Gong, Michael Langguth, Yan Ji, Amirpasha Mozaffari, Scarlet Stadtler, Karim Mache, and Martin G. Schultz
Published in: Geoscientific Model Development, Issue Volume 15, Issue 23, 2022, Page(s) 8931–8956, ISSN 1991-9603
Publisher: Copernicus
DOI: 10.5194/gmd-15-8931-2022

HPC-oriented Canonical Workflows for Machine Learning Applications in Climate and Weather Prediction

Author(s): Amirpasha Mozaffari, Michael Langguth, Bing Gong, Jessica Ahring, Adrian Rojas Campos, Pascal Nieters, Otoniel José Campos Escobar, Martin Wittenbrink, Peter Baumann, Martin G. Schultz
Published in: Data Intelligence, Issue Volume 4, Issue 2, 2022, Page(s) 271-285, ISSN 2641-435X
Publisher: MIT Press Cambridge
DOI: 10.1162/dint_a_00131

Representing chemical history in ozone time-series predictions – a model experiment study building on the MLAir (v1.5) deep learning framework

Author(s): Felix Kleinert, Lukas H. Leufen, Aurelia Lupascu, Tim Butler, and Martin G. Schultz
Published in: Geoscientific Model Development, Issue Volume 15, Issue 23, 2022, Page(s) 8913–8930, ISSN 1991-9603
Publisher: Copernicus Publications
DOI: 10.5194/gmd-15-8913-2022

A New Tool for Automated Quality Control of Environmental Time Series (AutoQC4Env) in Open Web Services

Author(s): Najmeh Kaffashzadeh, Felix Kleinert, Martin G. Schultz
Published in: Business Information Systems Workshops - BIS 2019 International Workshops, Seville, Spain, June 26–28, 2019, Revised Papers, Issue 373, 2019, Page(s) 513-518, ISBN 978-3-030-36690-2
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-36691-9_43

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