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Showing 1 to 3 of 3 for “"Global Historical Climatology Network"”.

  1. Predictive Analysis of Corrosion Resistance in Automotive Coatings Using Artificial Neural Networks

    … Spectroscopy (EIS) and Artificial Neural Networks (ANN), we monitored barrier coatings over an extended period of 1000 days to form a baseline model. The primary aim was to analyze time series data to predict degradation stages and quantify the state of the coatings, thus providing a …

    tamu Repository record for Predictive Analysis of Corrosion Resistance in Automotive Coatings Using Artificial Neural Networks (opens in a new tab)

  2. Improving Watershed Models to Achieve a Better Prediction of Water Quantity and Quality

    … time series with the integration of multiple Global Historical Climatology Network (GHCN) stations and to assess the benefit of much higher density, lower reliability precipitation measurements from private citizens collected by the Community Collaborative Rain, Hail, and Snow (CoCoRaHS) …

    vt Repository record for Improving Watershed Models to Achieve a Better Prediction of Water Quantity and Quality (opens in a new tab)

  3. Variation and Change in Daily Precipitation Extremes Across the United States Since the Mid-20th Century

    Research indicates a warming global climate leads to change in the spatial and temporal characteristics of precipitation. Although precipitation is inherently variable through time and space, for some water-sensitive stakeholders, the evenness with which precipitation is distributed through a time …

    vt Repository record for Variation and Change in Daily Precipitation Extremes Across the United States Since the Mid-20th Century (opens in a new tab)