Articles | Volume 10, issue 9
https://doi.org/10.5194/amt-10-3249-2017
https://doi.org/10.5194/amt-10-3249-2017
Research article
 | 
05 Sep 2017
Research article |  | 05 Sep 2017

The sensitivity of snowfall to weather states over Sweden

Lars Norin, Abhay Devasthale, and Tristan S. L'Ecuyer

Related authors

Observations of anomalous propagation over waters near Sweden
Lars Norin
Atmos. Meas. Tech., 16, 1789–1801, https://doi.org/10.5194/amt-16-1789-2023,https://doi.org/10.5194/amt-16-1789-2023, 2023
Short summary
Wind turbine impact on operational weather radar I/Q data: characterisation and filtering
Lars Norin
Atmos. Meas. Tech., 10, 1739–1753, https://doi.org/10.5194/amt-10-1739-2017,https://doi.org/10.5194/amt-10-1739-2017, 2017
Short summary
Intercomparison of snowfall estimates derived from the CloudSat Cloud Profiling Radar and the ground-based weather radar network over Sweden
L. Norin, A. Devasthale, T. S. L'Ecuyer, N. B. Wood, and M. Smalley
Atmos. Meas. Tech., 8, 5009–5021, https://doi.org/10.5194/amt-8-5009-2015,https://doi.org/10.5194/amt-8-5009-2015, 2015
Short summary
A quantitative analysis of the impact of wind turbines on operational Doppler weather radar data
L. Norin
Atmos. Meas. Tech., 8, 593–609, https://doi.org/10.5194/amt-8-593-2015,https://doi.org/10.5194/amt-8-593-2015, 2015
Short summary
The large-scale spatio-temporal variability of precipitation over Sweden observed from the weather radar network
A. Devasthale and L. Norin
Atmos. Meas. Tech., 7, 1605–1617, https://doi.org/10.5194/amt-7-1605-2014,https://doi.org/10.5194/amt-7-1605-2014, 2014

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Observed impact of the GNSS clock data rate on radio occultation bending angles for Sentinel-6A and COSMIC-2
Sebastiano Padovan, Axel von Engeln, Saverio Paolella, Yago Andres, Chad R. Galley, Riccardo Notarpietro, Veronica Rivas Boscan, Francisco Sancho, Francisco Martin Alemany, Nicolas Morew, and Christian Marquardt
Atmos. Meas. Tech., 18, 3217–3228, https://doi.org/10.5194/amt-18-3217-2025,https://doi.org/10.5194/amt-18-3217-2025, 2025
Short summary
A new method to retrieve relative humidity profiles from a synergy of Raman lidar, microwave radiometer, and satellite
Chengli Ji, Qiankai Jin, Feilong Li, Yuyang Liu, Zhicheng Wang, Jiajia Mao, Xiaoyu Ren, Yan Xiang, Wanlin Jian, Zhenyi Chen, and Peitao Zhao
Atmos. Meas. Tech., 18, 3179–3191, https://doi.org/10.5194/amt-18-3179-2025,https://doi.org/10.5194/amt-18-3179-2025, 2025
Short summary
Combining commercial microwave links and weather radar for classification of dry snow and rainfall
Erlend Øydvin, Renaud Gaban, Jafet Andersson, Remco (C. Z.) van de Beek, Mareile Astrid Wolff, Nils-Otto Kitterød, Christian Chwala, and Vegard Nilsen
Atmos. Meas. Tech., 18, 2279–2293, https://doi.org/10.5194/amt-18-2279-2025,https://doi.org/10.5194/amt-18-2279-2025, 2025
Short summary
Improved consistency in solar-induced fluorescence retrievals from GOME-2A with the SIFTER v3 algorithm
Juliëtte C. S. Anema, K. Folkert Boersma, Lieuwe G. Tilstra, Olaf N. E. Tuinder, and Willem W. Verstraeten
Atmos. Meas. Tech., 18, 1961–1979, https://doi.org/10.5194/amt-18-1961-2025,https://doi.org/10.5194/amt-18-1961-2025, 2025
Short summary
An information content approach to diagnosing and improving CLIMCAPS retrieval consistency across instruments and satellites
Nadia Smith and Christopher D. Barnet
Atmos. Meas. Tech., 18, 1823–1839, https://doi.org/10.5194/amt-18-1823-2025,https://doi.org/10.5194/amt-18-1823-2025, 2025
Short summary

Cited articles

Battan, L. J.: Radar observation of the atmosphere, University of Chicago Press, 1973.
Bech, J., Codina, B., Lorente, J., and Bebbington, D.: The sensitivity of single polarization weather radar beam blockage correction to variability in the vertical refractivity gradient, J. Atmos. Ocean. Tech., 20, 845–855, https://doi.org/10.1175/1520-0426(2003)020<0845:TSOSPW>2.0.CO;2, 2003.
Berrisford, P., Dee, D., Poli, P., Brugge, R., Fielding, K., Fuentes, M., Kållberg, P., Kobayashi, S., Uppala, S., and Simmons, A.: The ERA-Interim archive, Era report series, European Centre for Medium Range Weather Forecasts, 2009.
Busuioc, A., Chen, D., and Hellström, C.: Temporal and spatial variability of precipitation in Sweden and its link with the large-scale atmospheric circulation, Tellus A, 53, 348–367, https://doi.org/10.1034/j.1600-0870.2001.01152.x, 2001.
Carlsson, I.: NORDRAD – weather radar network, in: COST 75 Weather Radar Systems, edited by: Collier, C. G., European Commission, 45–52, 1995.
Download
Short summary
For a high-latitude country like Sweden snowfall is an important contributor to the regional water cycle. For Sweden, large-scale atmospheric circulation patterns, or weather states, are important for precipitation variability. In this work we investigate the sensitivity of snowfall to weather states over Sweden to eight selected weather states. The analysis is based on measurements from ground-based radar, satellite observations, spatially interpolated in situ observations, and reanalysis data.
Share