Fakhereh (Sarah) Alidoost
IS-ENES3
Providing the infrastructure to better understand and project climate variability and change
- Climate modeling
- infrastructure
eWaterCycle
Overcoming the challenge of locality using a community multi-model environment
- Climate modeling
- Multi-scale & multi model simulations
- Visualization
- + 1
Ivresse
Virtual Research Environment for Integrative Modelling of Biomolecular Complexes
- High performance computing
- Multi-scale & multi model simulations
- Workflow technologies
A new perspective on global vegetation water dynamics from radar satellite data
Global vegetation water dynamics using radar satellite data
- Data assimilation
- deep learning
- Land Surface Model
- + 5
EcoExtreML
Accelerating Process Understanding for Ecosystem Functioning under Extreme Climates with Physics-Aware Machine Learning
- Big data
- Digital Twins
- High performance computing
- + 2
MINERVA
MIcrowaves for a New Era of Remote sensing of Vegetation for Agricultural monitoring
- Agriculture
- Dask
- HPC
- + 4
DIANNA - Deep Insight and Neural Networks Analysis
Explainable AI tool for scientists
- Explainable AI
- Machine learning
Remote Sensing Deployable Analysis environmenT
RS-DAT
- High performance computing
- Image processing
- Machine learning
- + 1
MobyLe - Motion by Learning
Estimating Motion of Objects on Earth from Space
- Dask
- Earth Observation
- InSAR
- + 6
ESMValTool Knowledge Development
Netherlands eScience Center Knowledge Development project aiming to promote the use of ESMValTool and optimize its computational performance.
- Big data
- Climate change
- Climate modeling
- + 5
AI4S2S
A high-level python package integrating expert knowledge and artificial intelligence to boost (sub) seasonal forecasting
- Forecasting
- Machine learning
Springtime
Spatiotemporal phenology research with interpretable models
- Data Analysis
- Machine learning
- phenology