JuLib | Articles & more - {"Domain-Specific Simulation }

1

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

Leufen, Lukas Hubert
2023

Artificial Intelligence for the Earth Systems, 2 (2023) 3, S. 1 - 16

“...Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups...”
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2

Poster

Geodata enrichment for air quality

Selke, Niklas
2022

“...Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups...”
OpenAccess

3

Journal Article

Artificial intelligence for air quality

Schultz, Martin
2022

The project repository journal, 12 (2022) 1, S. 70 - 73

“...Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups...”
OpenAccess

4

Conference Presentation

TOAR-II Overview and Database

Cooper, Owen
2022

“...Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups...”
OpenAccess

5

Conference Presentation

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

Schröder, Sabine
2022

“...Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups...”
OpenAccess

6

Preprint

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

Kleinert, Felix
2022

Geoscientific model development discussions, 2022 (2022) S. 1-27

“...Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups...”
OpenAccess

7

Poster

Advancing FAIRness for global air quality data analyses

Mozaffari, Amirpasha
2022

“...Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups...”
OpenAccess

8

Journal Article

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

Leufen, Lukas Hubert
2022

Environmental data science, 1 (2022) S. e10

“...Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups...”
OpenAccess

9

Journal Article

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

Kleinert, Felix
2022

Geoscientific model development, 15 (2022) 23, S. 8913 - 8930

“...Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups...”
OpenAccess

10

Conference Presentation

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

Selke, Niklas
2021

“...Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups...”
OpenAccess

11

Journal Article

Can deep learning beat numerical weather prediction?

Schultz, Martin
2021

Philosophical transactions of the Royal Society of London / A, 379 (2021) 2194, S. 20200097

“...Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups...”
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12

Abstract

Representing chemical history for ozone time-series predictions - a method development study for deep learning models

Kleinert, Felix
2021

“...Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups...”
OpenAccess

13

Journal Article

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

Leufen, Lukas Hubert
2021

Geoscientific model development, 14 (2021) 3, S. 1553 - 1574

“...Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups...”
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14

Conference Presentation

TOAR-II Data

Schultz, Martin
2021

“...Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups...”

15

Journal Article

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

Kleinert, Felix
2021

Geoscientific model development, 14 (2021) 1, S. 1 - 25

“...Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups...”
OpenAccess

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