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Multi-Basin Sampling Visualization

Interactive visualization showing how global index maps to basin and time window in sequential sampling
Jiangtao Liu
Written by Jiangtao Liu
Multi-Basin Sampling Visualization

This interactive visualization demonstrates how the global sample index is mapped to specific basins and time windows in a multi-basin sequential sampling strategy.

Interactive Demo

Use the Auto Play button to see how the sampling progresses through all basins and time windows!

Jiangtao Liu
Written by

Jiangtao Liu

I am interested in using multiple satellite datasets, in-situ observation datasets, and reanalysis products to investigate how climate variability and human activities affect water resources. My approach integrates physics-based hydrological models with deep learning techniques, ensuring that model predictions remain both accurate and physically interpretable. In parallel, I develop BERT/GPT-based foundation models that can be fine-tuned for tasks such as streamflow forecasting, soil moisture prediction, and water quality assessment. Ultimately, I aim to deliver robust, scalable, and transparent modeling frameworks that guide decision-making from local watersheds to global scales, helping mitigate risks such as droughts, floods, and landslides in a changing climate.

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