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Errors and uncertainties in microwave link rainfall estimation explored using drop size measurements and high-resolution radar data

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Errors and uncertainties in microwave link rainfall estimation explored using drop size measurements and high-resolution radar data

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Experimental Validation of a Unified and Linear State Estimation Method for Hybrid AC/DC Microgrids

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods

Multisensing wearables for real-time monitoring of sweat electrolyte biomarkers during exercise and analysis on their correlation with core body temperature

An Unbiased Method of Measuring the Ratio of Two Data Sets

Combining Weather Station Data and Short-Term LiDAR Deployment to Estimate Wind Energy Potential with Machine Learning: A Case Study from the Swiss Alps

Spatially adaptive machine learning models for predicting water quality in Hong Kong

Reliable uncertainties: Error correlation, rotated error bars, and linear regressions in three-isotope plots and beyond

Role of K-feldspar and quartz in global ice nucleation by mineral dust in mixed-phase clouds

Estimation of Self-Exciting Point Processes from Time-Censored Data