Observation of Cloud Base Height and Precipitation Characteristics at a Polar Site Ny-Ålesund, Svalbard Using Ground-Based Remote Sensing and Model Reanalysis

• Published in: Remote Sensing
• Main Authors: Acharya Asutosh, Sourav Chatterjee, M.P. Subeesh, Athulya Radhakrishnan, Nuncio Murukesh
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2021
• Subjects: arctic precipitation; cloud base heights; ceilometer; micro rain radar; remote sensing; meteorology; Science; Q; Arctic; Svalbard; Ny-Ålesund; Ny Ålesund
• Online Access: https://doi.org/10.3390/rs13142808; https://doaj.org/article/65f94734f8c14a4698c70d6aa378dd45

Clouds play a significant role in regulating the Arctic climate and water cycle due to their impacts on radiative balance through various complex feedback processes. However, there are still large discrepancies in satellite and numerical model-derived cloud datasets over the Arctic region due to a lack of observations. Here, we report observations of cloud base height (CBH) characteristics measured using a Vaisala CL51 ceilometer at Ny-Ålesund, Svalbard. The study highlights the monthly and seasonal CBH characteristics at the location. It is found that almost 40% of the lowest CBHs fall within a height range of 0.5–1 km. The second and third cloud bases that could be detected by the ceilometer are mostly concentrated below 3 km during summer but possess more vertical spread during the winter season. Thin and low-level clouds appear to be dominant during the summer. Low-level clouds are found to be dominant and observed in 76% of cases. The mid and high-level clouds occur in ~16% and ~7% of cases, respectively. Further, micro rain radar (MRR2) observed enhanced precipitation and snowfall events during the winter and spring which are found to be associated with the lowest CBHs within 2 km from the ground. The frontal process associated with synoptic-scale meteorological conditions explains the variabilities in CBH and precipitation at the observation site when compared for two contrasting winter precipitation events. The findings of the study could be useful for model evaluation of cloud precipitation relationships and satellite data validation in the Arctic environment.