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07/30/2023
AI Increases Global Access to Reliable Flood Forecasts
Floods are one of the most common and impactful natural disasters, with ...
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06/20/2022
A Machine Learning Data Fusion Model for Soil Moisture Retrieval
We develop a deep learning based convolutional-regression model that est...
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11/04/2021
Flood forecasting with machine learning models in an operational framework
The operational flood forecasting system by Google was developed to prov...
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01/13/2021
MC-LSTM: Mass-Conserving LSTM
The success of Convolutional Neural Networks (CNNs) in computer vision i...
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11/29/2020
ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach
Floods are among the most common and deadly natural disasters in the wor...
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10/15/2020
Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
Long Short-Term Memory Networks (LSTMs) have been applied to daily disch...
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02/14/2020
Combining Parametric Land Surface Models with Machine Learning
A hybrid machine learning and process-based-modeling (PBM) approach is p...
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11/10/2019
Using LSTMs for climate change assessment studies on droughts and floods
Climate change affects occurrences of floods and droughts worldwide. How...
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07/19/2019