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A Temporal Bias Correction using a Machine Learning Attention model
As a result, climate statistics with long-range temporal properties, such as heatwave duration and frequency, cannot be corrected accurately, making it more difficult to produce reliable impact studies on such climate statistics.
Taylorformer: Probabilistic Predictions for Time Series and other Processes
We propose the Taylorformer for time series and other random processes.
ML framework for global river flood predictions based on the Caravan dataset
Here, we offer the first global river flood prediction framework based on the newly published Caravan dataset.
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