ERD

Can deep learning beat numerical weather prediction?

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Canonical Workflows to Make Data FAIR

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Exploring decomposition of temporal patterns to facilitate learning of neural networks for ground-level daily maximum 8-...

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

FAIRness in Air Quality and Weather Forecast

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

TOAR-II Data Workshop

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

FAIRness in the multi-service data infrastructure of the Tropospheric Ozone Assessment Report (TOAR) and Artificial Inte...

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

O3ResNet: A Deep Learning–Based Forecast System to Predict Local Ground-Level Daily Maximum 8-Hour Average Ozone in Ru...

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Global fine resolution mapping of ozone metrics through explainable machine learning

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Periodic Reporting for period 4 - IntelliAQ (Artificial Intelligence for Air Quality)

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

JUWELS Booster – A Supercomputer for Large-Scale AI Research

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Near-surface temperature forecasting by deep learning

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Resources

Selected filters:

Can deep learning beat numerical weather prediction?

Canonical Workflows to Make Data FAIR

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

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

Exploring decomposition of temporal patterns to facilitate learning of neural networks for ground-level daily maximum 8-...

FAIRness in Air Quality and Weather Forecast

TOAR-II Data Workshop

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

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

FAIRness in the multi-service data infrastructure of the Tropospheric Ozone Assessment Report (TOAR) and Artificial Inte...

O3ResNet: A Deep Learning–Based Forecast System to Predict Local Ground-Level Daily Maximum 8-Hour Average Ozone in Ru...

Global fine resolution mapping of ozone metrics through explainable machine learning

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

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

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

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

Periodic Reporting for period 4 - IntelliAQ (Artificial Intelligence for Air Quality)

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

JUWELS Booster – A Supercomputer for Large-Scale AI Research

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

Near-surface temperature forecasting by deep learning