Understanding spatial nonstationarity in the influence of topography and vegetation on patterns of snow depth and snow water equivalent (SWE) can improve distributed SWE models, improve river runoff forecasts, and guide

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Date: 2016-06-23 15:50:48 Statistics Signal processing Estimation theory Precipitation Snow Water ice Regression analysis Lidar Autoregressive model Water Matter		Understanding spatial nonstationarity in the influence of topography and vegetation on patterns of snow depth and snow water equivalent (SWE) can improve distributed SWE models, improve river runoff forecasts, and guide Add to Reading List Source URL: mmds-data.org Download Document from Source Website File Size: 13,97 KB Share Document on Facebook

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