Published November 15, 2022 | Version 1

Ground-Based Remote Sensing Observations at Marquette, Michigan

  • 1. University of Wisconsin-Madison
  • 2. University of Michigan
  • 3. National Oceanic and Atmospheric Administration

Description

This dataset contains observations used in "Multi-year analysis of rain-snow levels at Marquette, Michigan," Shates, Pettersen, L'Ecuyer, and Kulie, submitted to Journal of Geophysical Research - Atmospheres, in revision.

 

The dataset includes daily files of Micro Rain Radar2 (MRR) and Precipitation Imaging Package (PIP) observations. The MRR and PIP are both hosted at the National Weather Service office in Marquette, MI (Pettersen, Kulie, et al., 2020; Kulie et al., 2021). The MRR is a 24 GHz vertically profiling radar and observations have been post-processed using Maahn and Kollias (2012). Key variables include radar reflectivity, Doppler velocity and spectral width. The PIP is a custom video disdrometer that records shadows of hydrometeors to obtain key microphysical variables that include particle size distributions and vertical velocity distributions (Pettersen, Bliven, et al., 2020). Additional processing provides precipitation rates in liquid water equivalent and the effective density (Pettersen et al., 2021).  

The files are separated into daily MRR files, daily PIP Particle Size Distribution (PSD) files, daily PIP Vertical Velocity Distribution (VVD) files, and daily PIP precipitation rate (rain and non-rain) and effective density (edensity) files. The PSD and VVD files contain one-minute resolution particle counts and fall speeds, respectively, for particle diameter bins.

Notes

In datasets for multiple years of data, instrument downtime and other data issues can result in some missing days. We estimate greater than 97% uptime for the MRR and greater than 95% for the PIP (Pettersen, Kulie, et al, 2020).

Files

MRR_2014.zip

Files (43.6 GB)

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