Articles | Volume 15, issue 20
https://doi.org/10.5194/amt-15-6011-2022
https://doi.org/10.5194/amt-15-6011-2022
Research article
 | 
20 Oct 2022
Research article |  | 20 Oct 2022

Evaluation of the New York State Mesonet Profiler Network data

Bhupal Shrestha, Jerald A. Brotzge, and Junhong Wang

Related authors

Validation of the WRF-ARW eclipse model with measurements from the 2019 and 2020 total solar eclipses
Carl E. Spangrude, Jennifer W. Fowler, W. Graham Moss, and June Wang
Atmos. Meas. Tech., 16, 5167–5179, https://doi.org/10.5194/amt-16-5167-2023,https://doi.org/10.5194/amt-16-5167-2023, 2023
Short summary
Managing the transition from Vaisala RS92 to RS41 radiosondes within the Global Climate Observing System Reference Upper-Air Network (GRUAN): a progress report
Ruud J. Dirksen, Greg E. Bodeker, Peter W. Thorne, Andrea Merlone, Tony Reale, Junhong Wang, Dale F. Hurst, Belay B. Demoz, Tom D. Gardiner, Bruce Ingleby, Michael Sommer, Christoph von Rohden, and Thierry Leblanc
Geosci. Instrum. Method. Data Syst., 9, 337–355, https://doi.org/10.5194/gi-9-337-2020,https://doi.org/10.5194/gi-9-337-2020, 2020
Short summary
Precipitable water characteristics during the 2013 Colorado flood using ground-based GPS measurements
Hannah K. Huelsing, Junhong Wang, Carl Mears, and John J. Braun
Atmos. Meas. Tech., 10, 4055–4066, https://doi.org/10.5194/amt-10-4055-2017,https://doi.org/10.5194/amt-10-4055-2017, 2017
Short summary
A review of sources of systematic errors and uncertainties in observations and simulations at 183 GHz
Hélène Brogniez, Stephen English, Jean-François Mahfouf, Andreas Behrendt, Wesley Berg, Sid Boukabara, Stefan Alexander Buehler, Philippe Chambon, Antonia Gambacorta, Alan Geer, William Ingram, E. Robert Kursinski, Marco Matricardi, Tatyana A. Odintsova, Vivienne H. Payne, Peter W. Thorne, Mikhail Yu. Tretyakov, and Junhong Wang
Atmos. Meas. Tech., 9, 2207–2221, https://doi.org/10.5194/amt-9-2207-2016,https://doi.org/10.5194/amt-9-2207-2016, 2016
Short summary
The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations
T. Ning, J. Wang, G. Elgered, G. Dick, J. Wickert, M. Bradke, M. Sommer, R. Querel, and D. Smale
Atmos. Meas. Tech., 9, 79–92, https://doi.org/10.5194/amt-9-79-2016,https://doi.org/10.5194/amt-9-79-2016, 2016
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Instruments and Platforms
Optimization of a direct-detection UV wind lidar architecture for 3D wind reconstruction at high altitude
Thibault Boulant, Tomline Michel, and Matthieu Valla
Atmos. Meas. Tech., 17, 7049–7064, https://doi.org/10.5194/amt-17-7049-2024,https://doi.org/10.5194/amt-17-7049-2024, 2024
Short summary
The GRAS-2 radio occultation mission
Joel Rasch, Anders Carlström, Jacob Christensen, and Thomas Liljegren
Atmos. Meas. Tech., 17, 6213–6222, https://doi.org/10.5194/amt-17-6213-2024,https://doi.org/10.5194/amt-17-6213-2024, 2024
Short summary
The ALOMAR Rayleigh/Mie/Raman lidar: status after 30 years of operation
Jens Fiedler and Gerd Baumgarten
Atmos. Meas. Tech., 17, 5841–5859, https://doi.org/10.5194/amt-17-5841-2024,https://doi.org/10.5194/amt-17-5841-2024, 2024
Short summary
Chilean Observation Network De MeteOr Radars (CONDOR): Multi-Static System Configuration & Wind Comparison with Co-located Lidar
Zishun Qiao, Alan Z. Liu, Gunter Stober, Javier Fuentes, Fabio Vargas, Christian L. Adami, and Iain M. Reid
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-126,https://doi.org/10.5194/amt-2024-126, 2024
Revised manuscript accepted for AMT
Short summary
The Far-INfrarEd Spectrometer for Surface Emissivity (FINESSE) – Part 1: Instrument description and level 1 radiances
Jonathan E. Murray, Laura Warwick, Helen Brindley, Alan Last, Patrick Quigley, Andy Rochester, Alexander Dewar, and Daniel Cummins
Atmos. Meas. Tech., 17, 4757–4775, https://doi.org/10.5194/amt-17-4757-2024,https://doi.org/10.5194/amt-17-4757-2024, 2024
Short summary

Cited articles

Aerosol Robotic Network (AERONET): Aerosol optical depth, AERONET [data set], https://aeronet.gsfc.nasa.gov/new_web/aerosols.html, last access: 13 October 2022. 
Aitken, M. L., Rhodes, M. E., and Lundquist, J. K.: Performance of a wind-profiling lidar in the region of wind turbine rotor disks, J. Atmos. Ocean. Tech., 29, 347–355, https://doi.org/10.1175/JTECH-D-11-00033.1, 2012. 
American Meteorological Society: Mandatory levels, Glossary of Meteorology, https://glossary.ametsoc.org/wiki/Mandatory_level (last access: 13 October 2022), 2014. 
Bianco, L., Friedrich, K., Wilczak, J. M., Hazen, D., Wolfe, D., Delgado, R., Oncley, S. P., and Lundquist, J. K.: Assessing the accuracy of microwave radiometers and radio acoustic sounding systems for wind energy applications, Atmos. Meas. Tech., 10, 1707–1721, https://doi.org/10.5194/amt-10-1707-2017, 2017. 
Boquet, M., Royer, P., Cariou, J. P., and Machta, M.: Simulation of Doppler lidar measurement range and data availability, J. Atmos. Ocean. Tech., 33, 977–987, https://doi.org/10.1175/JTECH-D-15-0057.1, 2016. 
Download
Short summary
The NYS Mesonet Profiler Network is comprised of 17 profiler sites, each equipped with a Doppler lidar, microwave radiometer, and sun photometer. This study presents a multi-year, multi-station evaluation based on well-defined reference measurements. Results demonstrate robust technologies that can aid real-time weather operations and a network test bed that can be used for further expansion, evaluation, and integration of such technologies at a large scale.