JuLib | Articles & more - {"Schultz, Martin G."}

1

Contribution to a book
Contribution to a conference proceedings

End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing

Tian, Liang
2023

“...Schultz, Martin G....”
OpenAccess

2

Journal Article

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

Patnala, Ankit
2023

IEEE geoscience and remote sensing letters, 20 (2023) 2502305, S. 1 - 5

“...Schultz, Martin G....”
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3

Journal Article

Graph Machine Learning for Improved Imputation of Missing Tropospheric Ozone Data

Betancourt, Clara
2023

Environmental science & technology, 57 (2023) S. 18246-18258

“...Schultz, Martin G....”
OpenAccess

4

Journal Article

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

“...Schultz, Martin G....”
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5

Journal Article

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

Becker, Jacob S.
2023

Elementa, 11 (2023) 1, S. 00025

“...Schultz, Martin G....”
OpenAccess

6

Preprint

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

Betancourt, Clara
2022

Geoscientific model development discussions (2022)

“...Schultz, Martin G....”
OpenAccess

7

Journal Article

Temperature forecasting by deep learning methods

Gong, Bing
2022

Geoscientific model development, 15 (2022) 23, S. 8931 - 8956

“...Schultz, Martin G....”
OpenAccess

8

Journal Article

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

Mozaffari, Amirpasha
2022

Data Intelligence, 4 (2022) 2, S. 271-285

“...Schultz, Martin G....”
OpenAccess

9

Journal Article

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

Schröder, Sabine
2022

Data Intelligence, 4 (2022) 2, S. 259 - 270

“...Schultz, Martin G....”
OpenAccess OpenAccess

10

Preprint

Temperature forecasting by deep learning methods

Gong, Bing
2022

Geoscientific model development (2022)

“...Schultz, Martin G....”
OpenAccess

11

Conference Presentation

Stochastic downscaling of the 2m temperature with a generative adversarial network (GAN)

Langguth, Michael
2022

“...Schultz, Martin G....”
OpenAccess OpenAccess

12

Journal Article

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

Betancourt, Clara
2022

Geoscientific model development, 15 (2022) 11, S. 4331 - 4354

“...Schultz, Martin G....”
OpenAccess

13

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

“...Schultz, Martin G....”
OpenAccess

14

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

“...Schultz, Martin G....”
OpenAccess

15

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

“...Schultz, Martin G....”
OpenAccess

16

Abstract

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

Kleinert, Felix
2021

“...Schultz, Martin G....”
OpenAccess

17

Abstract

Global fine resolution mapping of ozone metrics through explainable machine learning

Betancourt, Clara
2021

“...Schultz, Martin G....”
OpenAccess

18

Contribution to a book
Contribution to a conference proceedings

JUWELS Booster – A Supercomputer for Large-Scale AI Research

Kesselheim, Stefan
2021

“...Schultz, Martin G....”
OpenAccess

19

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

“...Schultz, Martin G....”
Get full text OpenAccess

20

Journal Article

AQ-Bench: a benchmark dataset for machine learning on global air quality metrics

Betancourt, Clara
2021

Earth system science data, 13 (2021) 6, S. 3013 - 3033

“...Schultz, Martin G....”
OpenAccess

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