Evaluation of Arctic Water Vapor Profile Observations from a Differential Absorption Lidar
Autor: | Robert W. Crawford, Raisa Lehtinen, Jack Gwozdecky, Zen Mariani, Shannon Hicks-Jalali, François Lemay, Barbara Casati, Kevin Strawbridge, Pekko Tuominen |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
010504 meteorology & atmospheric sciences
Science Climate change DIAL Atmospheric sciences 01 natural sciences law.invention 010309 optics Raman lidar water vapor humidity remote sensing verification forecast radiosonde Year of Polar Prediction Arctic law 0103 physical sciences Global Environmental Multiscale Model 0105 earth and related environmental sciences Humidity Numerical weather prediction Lidar Radiosonde General Earth and Planetary Sciences Environmental science Water vapor |
Zdroj: | Remote Sensing; Volume 13; Issue 4; Pages: 551 Remote Sensing, Vol 13, Iss 551, p 551 (2021) |
ISSN: | 2072-4292 |
DOI: | 10.3390/rs13040551 |
Popis: | The continuous measuring of the vertical profile of water vapor in the boundary layer using a commercially available differential absorption lidar (DIAL) has only recently been made possible. Since September 2018, a new pre-production version of the Vaisala DIAL system has operated at the Iqaluit supersite (63.74°N, 68.51°W), commissioned by Environment and Climate Change Canada (ECCC) as part of the Canadian Arctic Weather Science project. This study presents its evaluation during the extremely dry conditions experienced in the Arctic by comparing it with coincident radiosonde and Raman lidar observations. Comparisons over a one year period were strongly correlated (r > 0.8 at almost all heights) and exhibited an average bias of +0.13 ± 0.01 g/kg (DIAL-sonde) and +0.18 ± 0.02 g/kg (DIAL-Raman). Larger differences exhibiting distinct artifacts were found between 250 and 400 m above ground level (AGL). The DIAL’s observations were also used to conduct a verification case study of operational numerical weather prediction (NWP) models during the World Meteorological Organization’s Year of Polar Prediction. Comparisons to ECCC’s global environmental multiscale model (GEM-2.5 km and GEM-10 km) indicate good agreement with an average bias < 0.16 g/kg for the higher-resolution (GEM-2.5 km) models. All models performed significantly better during the winter than the summer, likely due to the winter’s lower water vapor concentrations and decreased variability. This study provides evidence in favor of using high temporal resolution lidar water vapor profile measurements to complement radiosonde observations and for NWP model verification and process studies. |
Databáze: | OpenAIRE |
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