A technical overview of the New York state mesonet standard network

  • Jerald A. Brotzge
  • , J. Wang
  • , C. D. Thorncroft
  • , E. Joseph
  • , N. Bain
  • , N. Bassill
  • , N. Farruggio
  • , J. M. Freedman
  • , K. Hemker
  • , D. Johnston
  • , E. Kane
  • , S. McKim
  • , S. D. Miller
  • , J. R. Minder
  • , P. Naple
  • , S. Perez
  • , James J. Schwab
  • , M. J. Schwab
  • , J. Sicker

Research output: Contribution to journalArticlepeer-review

82 Scopus citations

Abstract

The New York State Mesonet (NYSM) is a network of 126 standard environmental monitoring stations deployed statewide with an average spacing of 27 km. The primary goal of the NYSM is to provide high-quality weather data at high spatial and temporal scales to improve atmospheric monitoring and prediction, especially for extreme weather events. As compared with other statewide networks, the NYSM faced considerable deployment obstacles with New York’s complex terrain, forests, and very rural and urban areas; its wide range of weather extremes; and its harsh winter conditions. To overcome these challenges, the NYSM adopted a number of innovations unique among statewide monitoring systems, including 1) strict adherence to international siting standards and metadata documentation; 2) a hardened system design to facilitate continued operations during extreme, high-impact weather; 3) a station design optimized to monitor winter weather conditions; and 4) a camera installed at every site to aid situational awareness. The network was completed in spring of 2018 and provides data and products to a variety of sectors including weather monitoring and forecasting, emergency management, agriculture, transportation, utilities, and education. This paper focuses on the standard network of the NYSM and reviews the network siting, site configuration, sensors, site communications and power, network operations and maintenance, data quality control, and dissemination. A few example analyses are shown that highlight the benefits of the NYSM.

Original languageEnglish
Pages (from-to)1827-1845
Number of pages19
JournalJournal of Atmospheric and Oceanic Technology
Volume37
Issue number10
DOIs
StatePublished - Oct 2020
Externally publishedYes

Keywords

  • Automatic weather stations
  • Data processing
  • Data quality control
  • In situ atmospheric observations
  • Instrumentation/sensors
  • Surface observations

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