ERD

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Temperature forecasting by deep learning methods

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

A Web Service Architecture for Objective Station Classification Purposes

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Artificial Intelligence for Air Quality

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Near Surface Ozone Predictions Based on Multiple ANN Architectures

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Data Management Plan (DMP)

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Geodata enrichment for air quality

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Deep Learning for Weather Forecasting and Climate Prediction

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Advancing FAIRness for global air quality data analyses

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

TOAR-II Overview and Database

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Advancing caching and automation with FDO

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Tropospheric Ozone Assessment Report (TOAR) Data Infrastructure

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

A Novel Concept for Automated Quality Control of Atmospheric Time Series

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Multi-decadal surface ozone trends at globally distributed remote locations

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

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

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Mapping Yearly Fine Resolution Global Surface Ozone through the Bayesian Maximum Entropy Data Fusion of Observations and...

Project: IntelliAQ

Updated at: 27-04-2024

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Project acronym IntelliAQ

Resources

Selected filters:

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

Temperature forecasting by deep learning methods

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

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

A Web Service Architecture for Objective Station Classification Purposes

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

Artificial Intelligence for Air Quality

Near Surface Ozone Predictions Based on Multiple ANN Architectures

Data Management Plan (DMP)

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

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

Geodata enrichment for air quality

Deep Learning for Weather Forecasting and Climate Prediction

Advancing FAIRness for global air quality data analyses

TOAR-II Overview and Database

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

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

Advancing caching and automation with FDO

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

Tropospheric Ozone Assessment Report (TOAR) Data Infrastructure

A Novel Concept for Automated Quality Control of Atmospheric Time Series

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

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

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

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

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

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

Multi-decadal surface ozone trends at globally distributed remote locations

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

Mapping Yearly Fine Resolution Global Surface Ozone through the Bayesian Maximum Entropy Data Fusion of Observations and...