DroughtCast: A Machine Learning Forecast of the United States Drought Monitor

Overview of attention for article published in Frontiers in Big Data, December 2021

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Good Attention Score compared to outputs of the same age (71st percentile)

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Summary X Dimensions citations

So far, Dimensions has found 18 publications that cite this research output.

18

The most recent citing publications are shown below. View all 18 publications that cite this research output on Dimensions.

Improving Subseasonal Soil Moisture and Evaporative Stress Index Forecasts through Machine Learning: The Role of Initial Land State versus Dynamical Model Output

Article in Journal of Hydrometeorology (August 2024)

Comparing Machine Learning and Time Series Approaches in Predictive Modeling of Urban Fire Incidents: A Case Study of Austin, Texas

Article in ISPRS International Journal of Geo-Information (April 2024)

Current views of drought research: experimental methods, adaptation mechanisms and regulatory strategies

Article in Frontiers in Plant Science (April 2024)

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