Evaluation of the New York State Mesonet Profiler Network data
The New York State Mesonet (NYSM) Profiler Network consists of 17 stations statewide. Each station operates a ground-based Doppler lidar (DL), a microwave radiometer (MWR), and an environmental Sky Imaging Radiometer (eSIR) that collectively provide profiles of wind speed and direction, aerosol, tem...
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ftdoajarticles:oai:doaj.org/article:1098638f10aa48098028147c7d0b717f 2023-05-15T13:07:11+02:00 Evaluation of the New York State Mesonet Profiler Network data B. Shrestha J. A. Brotzge J. Wang 2022-10-01T00:00:00Z https://doi.org/10.5194/amt-15-6011-2022 https://doaj.org/article/1098638f10aa48098028147c7d0b717f EN eng Copernicus Publications https://amt.copernicus.org/articles/15/6011/2022/amt-15-6011-2022.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-15-6011-2022 1867-1381 1867-8548 https://doaj.org/article/1098638f10aa48098028147c7d0b717f Atmospheric Measurement Techniques, Vol 15, Pp 6011-6033 (2022) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2022 ftdoajarticles https://doi.org/10.5194/amt-15-6011-2022 2022-12-30T21:44:03Z The New York State Mesonet (NYSM) Profiler Network consists of 17 stations statewide. Each station operates a ground-based Doppler lidar (DL), a microwave radiometer (MWR), and an environmental Sky Imaging Radiometer (eSIR) that collectively provide profiles of wind speed and direction, aerosol, temperature, and humidity along with solar radiance, optical depth parameters, and fisheye sky images. This study presents a multi-year, multi-station evaluation of Profiler Network data to determine the robustness and accuracies of the instruments deployed with respect to well-defined measurements. The wind speed (WS) measured by the DL and temperature ( T ) and water vapor density (WVD) measured by the MWR at three NYSM Profiler Network sites are compared to nearby National Weather Service radiosonde (RS) data, while the aerosol optical depth (AOD) measured by the eSIR at two Profiler Network sites are compared to nearby in situ measurements from the Aerosol Robotic Network (AERONET). The overall comparison results show agreement between the DL or MWR and RS data with a correlation of R 2 ≥0.89 and a correlation between AERONET and eSIR AOD data of R 2 ≥ 0.78. The WS biases are statistically insignificant and equal to 0 ( p > 0.05) within 3 km, whereas T and WVD biases are statistically significant and are below 5.5 ∘ C and 1.0 g m −3 , within 10 km. The AOD biases are also found to be statistically significant and are within 0.02. The performance of the DL, MWR, and eSIR are consistent across sites with similar error statistics. When compared during three different weather conditions, the MWR is found to have varying performance, with T errors higher during clear-sky days, while WVD errors are higher during cloudy and precipitation days. To correct such observed biases, a linear regression method was developed and applied to the MWR data. In addition, wind shear from the DL and 14 common thermodynamic parameters derived from the MWR show an agreement with RS values where correlation is mostly R 2 ≥ 0.70 and biases ... Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 15 20 6011 6033 |
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Directory of Open Access Journals: DOAJ Articles |
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language |
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topic |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
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Environmental engineering TA170-171 Earthwork. Foundations TA715-787 B. Shrestha J. A. Brotzge J. Wang Evaluation of the New York State Mesonet Profiler Network data |
topic_facet |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
description |
The New York State Mesonet (NYSM) Profiler Network consists of 17 stations statewide. Each station operates a ground-based Doppler lidar (DL), a microwave radiometer (MWR), and an environmental Sky Imaging Radiometer (eSIR) that collectively provide profiles of wind speed and direction, aerosol, temperature, and humidity along with solar radiance, optical depth parameters, and fisheye sky images. This study presents a multi-year, multi-station evaluation of Profiler Network data to determine the robustness and accuracies of the instruments deployed with respect to well-defined measurements. The wind speed (WS) measured by the DL and temperature ( T ) and water vapor density (WVD) measured by the MWR at three NYSM Profiler Network sites are compared to nearby National Weather Service radiosonde (RS) data, while the aerosol optical depth (AOD) measured by the eSIR at two Profiler Network sites are compared to nearby in situ measurements from the Aerosol Robotic Network (AERONET). The overall comparison results show agreement between the DL or MWR and RS data with a correlation of R 2 ≥0.89 and a correlation between AERONET and eSIR AOD data of R 2 ≥ 0.78. The WS biases are statistically insignificant and equal to 0 ( p > 0.05) within 3 km, whereas T and WVD biases are statistically significant and are below 5.5 ∘ C and 1.0 g m −3 , within 10 km. The AOD biases are also found to be statistically significant and are within 0.02. The performance of the DL, MWR, and eSIR are consistent across sites with similar error statistics. When compared during three different weather conditions, the MWR is found to have varying performance, with T errors higher during clear-sky days, while WVD errors are higher during cloudy and precipitation days. To correct such observed biases, a linear regression method was developed and applied to the MWR data. In addition, wind shear from the DL and 14 common thermodynamic parameters derived from the MWR show an agreement with RS values where correlation is mostly R 2 ≥ 0.70 and biases ... |
format |
Article in Journal/Newspaper |
author |
B. Shrestha J. A. Brotzge J. Wang |
author_facet |
B. Shrestha J. A. Brotzge J. Wang |
author_sort |
B. Shrestha |
title |
Evaluation of the New York State Mesonet Profiler Network data |
title_short |
Evaluation of the New York State Mesonet Profiler Network data |
title_full |
Evaluation of the New York State Mesonet Profiler Network data |
title_fullStr |
Evaluation of the New York State Mesonet Profiler Network data |
title_full_unstemmed |
Evaluation of the New York State Mesonet Profiler Network data |
title_sort |
evaluation of the new york state mesonet profiler network data |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/amt-15-6011-2022 https://doaj.org/article/1098638f10aa48098028147c7d0b717f |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Atmospheric Measurement Techniques, Vol 15, Pp 6011-6033 (2022) |
op_relation |
https://amt.copernicus.org/articles/15/6011/2022/amt-15-6011-2022.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-15-6011-2022 1867-1381 1867-8548 https://doaj.org/article/1098638f10aa48098028147c7d0b717f |
op_doi |
https://doi.org/10.5194/amt-15-6011-2022 |
container_title |
Atmospheric Measurement Techniques |
container_volume |
15 |
container_issue |
20 |
container_start_page |
6011 |
op_container_end_page |
6033 |
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1766039509614460928 |