The Lake-Effect Snow Ensemble Reanalysis Version 1.0 Dataset

Abstract of Purpose and Method: The Lake-Effect Snow Ensemble Reanalysis version 1.0 dataset contains hourly gridded atmospheric variables for the Great Lakes region, focusing on events during the NSF OWLeS field campaign, which took place in December 2013 and January 2014. A reanalysis represents the best estimate of the state of the atmosphere by combining observations that are sparse in space and time with a dynamical model and weighting them by their uncertainties. This reanalysis uses the Penn State University Ensemble Kalman Filter (PSU EnKF) for data assimilation with Weather Research and Forecasting (WRF) model. Observations that are assimilated include conventional surface and atmospheric observations from NOAA. The dataset includes gridded fields of temperature, wind, surface pressure, and precipitation fields, and is downloadable as netCDF files. Companion papers, cited below, further describe this dataset as well as apply it to scientific studies.