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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Marquette, Michigan Ground Observations and Atmospheric River Dataset

Authors: Marian E. Mateling; Claire Pettersen; Mark S. Kulie; Kyle S. Mattingly; Stephanie A. Henderson; Tristan S. L'Ecuyer;

Marquette, Michigan Ground Observations and Atmospheric River Dataset

Abstract

{"references": ["Pettersen, C., Kulie, M. S., Bliven, L. F., Merrelli, A. J., Petersen, W. A., Wagner, T. J., Wolff, D. B., & Wood, N. B. (2020). A Composite Analysis of Snowfall Modes from Four Winter Seasons in Marquette, Michigan. J. Appl. Meteor. Climatol., 59, 103-124, doi: 10.1175/JAMC-D-19-0099.1.", "Pettersen, C., Bliven, L. F., von Lerber, A., Wood, N. B., Kulie, M. S., Mateling, M. E., Moisseev, D. N., Munchak, S. J., Petersen, W. A., & Wolff, D. B. (2020). The Precipitation Imaging Package: Assessment of Microphysical and Bulk Characteristics of Snow. Atmos., 11, 785, doi: 10.3390/atmos11080785.", "Mattingly, K. S., Mote, T. L., & Fettweis, X. (2018). Atmospheric river impacts on Greenland Ice Sheet surface mass balance. J. Geophys. Res. Atmos., 123, 8538-8560, doi: 10.1029/2018JD028714.", "Kulie, M. S., Pettersen, C., Merrelli, A. J., Wagner, T. J., Wood, N. B., Dutter, M., et al. (2021). Snowfall in the Northern Great Lakes: Lessons learned from a Multi-Sensor Observatory. Bull. Am. Meteorol. Soc., in review."]}

This dataset contains ground-based meteorological observations and accompanying atmospheric river data used in "The influence of atmospheric rivers on cold-season precipitation in the Upper Great Lakes region", Mateling, Pettersen, Kulie, Mattingly, Henderson, and L'Ecuyer, submitted to GRL, in review. The ground-based data contains meteorological data including temperature, wind speed and direction, radar reflectivity and Doppler velocity from a Micro-Rain Radar2 (MRR) and precipitation data from a Precipitation Imaging Package (PIP) hosted at the National Weather Service in Marquette, Michigan (Pettersen, Kulie, et al., 2020; Pettersen, Bliven, et al., 2020; Kulie et al., 2021). The atmospheric river (AR) data contains a flag to identify when an AR is within 100 km of Marquette during a deep cold-season precipitation event. Additionally, the associated integrated water vapor transport (IVT) and motion vectors are within this file. The AR database was created and analyzed in Mattingly et al. (2018).

Keywords

atmospheric river, micro rain radar, precipitation, snow, precipitation imaging package

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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