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Amirpasha Mozaffari

Observed names: A. Mozaffari, Amirpasha Mozzafari, Mozaffari Amirpasha, Mozaffari, Amirpasha
ORCID: 0000-0001-6719-0425
Observed ORCID: 0000-0001-6719-0425
OpenAlex ID: A5058263968
Can deep learning beat numerical weather prediction?
2021 · M. G. Schultz, C. Betancourt, et al. · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · 568
Temperature forecasting by deep learning methods
2022 · Bing Gong, Michael Langguth, et al. · Geoscientific model development · 71
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CLGAN: a generative adversarial network (GAN)-based video prediction model for precipitation nowcasting
2023 · Yan Ji, Bing Gong, et al. · Geoscientific model development · 42
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JUWELS Booster – A Supercomputer for Large-Scale AI Research
2021 · Stefan Kesselheim, Andreas Herten, et al. · Lecture notes in computer science · 21
2.5D crosshole GPR full-waveform inversion with synthetic and measured data
2020 · Amirpasha Mozaffari, Anja Klotzsche, et al. · Geophysics · 19
GPR full-waveform inversion, recent developments, and future opportunities
2018 · J. van der Kruk, T. Liu, et al. · International Conference on Ground Penetrating Radar (GPR) · 18
HPC-oriented Canonical Workflows for Machine Learning Applications in Climate and Weather Prediction
2022 · Amirpasha Mozaffari, Michael Langguth, et al. · Data Intelligence · 11
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Towards 3D full-waveform inversion of crosshole GPR data
2016 · A. Mozaffari, A. Klotzsche, et al. · International Conference on Ground Penetrating Radar (GPR) · 10
Crosshole GPR full-waveform inversion and waveguide amplitude analysis: Recent developments and new challenges
2015 · A. Klotzsche, J. van der Kruk, et al. · International Workshop on Advanced Ground Penetrating Radar · 9
End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing
2023 · Liang Tian, Rocco Sedona, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 7
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Canonical Workflows to Make Data FAIR
2022 · Peter Wittenburg, Alex Hardisty, et al. · Data Intelligence · 7
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3-D Electromagnetic Modeling Explains Apparent-Velocity Increase in Crosshole GPR Data-Borehole Fluid Effect Correction Method Enables to Incorporating High-Angle Traveltime Data
2021 · Amirpasha Mozaffari, Anja Klotzsche, et al. · IEEE Transactions on Geoscience and Remote Sensing · 4
GAN-based video prediction model for precipitation nowcasting
2022 · Yan Ji, Bing Gong, et al. · 2
Enabling Canonical Analysis Workflows Documented Data Harmonization on Global Air Quality Data
2022 · Sabine Schröder, Eleonora Epp, et al. · Data Intelligence · 2
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CLGAN: Guizhou ML-AWS precipitation dataset
2022 · Ji, Yan, Gong, Bing, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
Editors’ Note: Special Issue on Canonical Workflow Frameworks for Research
2022 · Peter Wittenburg, Alex Hardisty, et al. · Data Intelligence · 1
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Deep learning for short-term temperature forecasts with video prediction methods
2020 · Bing Gong, Severin Hußmann, et al. · 1
TerraNostra-Bench: Benchmarking Spatial Downscaling and Temporal Rollout for Global 1-km Land-Use Reconstruction
2026 · Mozaffari, Amirpasha, Castaño, Marina, et al. · arXiv (Cornell University)
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Energy-Aware Earth System Science: A Community Roadmap
2026 · Colfescu, Ioana, Bracco, Annalisa, et al. · arXiv (Cornell University)
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Supplementary material of "A Checklist to assess the energy and carbon impacts of ML/AI applications in Earth System Modeling"
2026 · Dainelli, Filippo, Mozaffari, Amirpasha, et al. · Zenodo (CERN European Organization for Nuclear Research)
A Checklist to assess the energy and carbon impacts of ML/AI applications in Earth System Modeling
2026 · Dainelli, Filippo, Mozaffari, Amirpasha, et al. · arXiv (Cornell University)
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The rise of AI in weather and climate information and its impact on global inequality
2026 · Amirpasha Mozaffari, Amanda Duarte, et al. · npj Climate Action
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Scalable Deep Learning Framework for Global High-Resolution Land Use Reconstruction
2026 · Mozaffari, Amirpasha, Castaño, Marina, et al. · arXiv (Cornell University)
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A Blueprint for Integrated Climate Intelligence
2026 · Carlos Rodriguez-Pardo, Guido Ascenso, et al.
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Exploring the impact of time-varying land cover and data assimilation in ecLand
2026 · David Fairbairn, Patricia de Rosnay, et al.
Works count: 59
Citation count: 795
H-index: 9
I10-index: 8
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