Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/17090
Title: Vertical evolution of precipitation and associated atmospheric parameters at Ny-Å lesund (78°55′N, 11°56′E) in the Arctic
Authors: Saini, Lekhraj
Das, Saurabh K.
Keywords: Arctic precipitation;Micro Rain Radar;Snowfall;Vertical profile
Issue Date: 2026
Publisher: Elsevier Ltd
Citation: Saini, L., Das, S. K., & Murukesh, N. (2026). Vertical evolution of precipitation and associated atmospheric parameters at Ny-Å lesund (78°55′N, 11°56′E) in the Arctic. Atmospheric Research, 329. https://doi.org/10.1016/j.atmosres.2025.108531
Abstract: The Arctic is experiencing warming nearly twice the global average rate. This significantly affects its precipitation with the snow to rain and mixed phase transitions. Accurate characterization of these changes requires high-resolution vertical profiling of microphysical processes. This study combines surface observation with vertical profiles of the atmospheric parameters and precipitation to investigate the vertical evolution of different forms of Arctic precipitation. Data were collected from the Himadri Research Station, Ny-Å lesund (78°55′N, 11°56′E) in Svalbard, which is a key location along the atmospheric moisture transport pathway into the Arctic. Micro Rain Radar (MRR), disdrometer and ceilometer were used to characterize the type of precipitation and their microphysical evolution up to 6km in altitude, along with the associated cloud base height. The study also explores seasonal variability in the vertical distribution of both liquid and solid precipitation and links their relationship with atmospheric parameters. Different types of precipitation show a varied behavior in terms of vertical evolution and were found to be highly sensitive within 1.5–2 km above the surface altitude. The results are expected to advance the understanding of Arctic precipitation processes, provide critical insights for improving satellite-based precipitation retrievals, and improve the performance of numerical weather prediction and climate models in polar regions. © 2025 Elsevier B.V., All rights reserved.
URI: https://dx.doi.org/10.1016/j.atmosres.2025.108531
https://dspace.iiti.ac.in:8080/jspui/handle/123456789/17090
ISSN: 0169-8095
Type of Material: Journal Article
Appears in Collections:Department of Astronomy, Astrophysics and Space Engineering

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