Atmospheric rivers and associated precipitation patterns during the ACLOUD and PASCAL campaigns near Svalbard (May–June 2017): case studies using observations, reanalyses, and a regional climate model

Viceto, Carolina; Gorodetskaya, Irina V.; Rinke, Annette; Maturilli, Marion; Rocha, Alfredo; Crewell, Susanne

doi:https://doi.org/10.5194/acp-22-441-2022

Articles | Volume 22, issue 1

https://doi.org/10.5194/acp-22-441-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Arctic mixed-phase clouds as studied during the ACLOUD/PASCAL...

https://doi.org/10.5194/acp-22-441-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 1

Research article

|

13 Jan 2022

Research article |

| 13 Jan 2022

Atmospheric rivers and associated precipitation patterns during the ACLOUD and PASCAL campaigns near Svalbard (May–June 2017): case studies using observations, reanalyses, and a regional climate model

Carolina Viceto, Irina V. Gorodetskaya, Annette Rinke, Marion Maturilli, Alfredo Rocha, and Susanne Crewell

Supplement

https://doi.org/10.5194/acp-22-441-2022-supplement

Data sets

ERA5 hourly data on single levels from 1979 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.adbb2d47

ERA5 hourly data on pressure levels from 1979 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.bd0915c6

The ERA-Interim reanalysis dataset, Copernicus Climate Change Service (C3S) European Centre for Medium-range Weather Forecast (ECMWF) https://www.ecmwf.int/en/forecasts/datasets/archive-datasets/reanalysis-datasets/era-interim

MERRA-2 inst3_3d_asm_Np: 3d, 3-Hourly, Instantaneous, Pressure Level, Assimilation, Assimilated Meteorological Fields V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/QBZ6MG944HW0

MERRA-2 tavg1_2d_flx_Nx: 2d, 1-Hourly, Time-Averaged, Single-Level, Assimilation, Surface Flux Diagnostics V5.12.4. Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/7MCPBJ41Y0K6

NCEP Climate Forecast System Version 2 (CFSv2) 6-Hourly Products S. Saha, S. Moorthi, X. Wu, J. Wang, S. Nadiga, P. Tripp, D. Behringer, Y. Hou, H. Chuang, M. Iredell, M. Ek, J. Meng, R. Yang, M. P. Mendez, H. van den Dool, Q. Zhang, W. Wang, M. Chen, and E. Becker https://doi.org/10.5065/D61C1TXF

JRA-55: Japanese 55-year Reanalysis, Daily 3-Hourly and 6-Hourly Data Japan Meteorological Agency https://doi.org/10.5065/D6HH6H41

High resolution radiosonde measurements from station Ny-Ålesund (2017-05) Marion Maturilli https://doi.org/10.1594/PANGAEA.879820

High resolution radiosonde measurements from station Ny-Ålesund (2017-06) Marion Maturilli https://doi.org/10.1594/PANGAEA.879822

Integrated water vapor of HATPRO microwave radiometer at AWIPEV, Ny-Ålesund (2017) Tatiana Nomokonova, Christoph Ritter, and Kerstin Ebell https://doi.org/10.1594/PANGAEA.902142

IASI Atmospheric Temperature Water Vapour and Surface Skin Temperature - Metop European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) https://navigator.eumetsat.int/product/EO:EUM:DAT:METOP:IASIL2TWT?query=IASI&results=20&s=extended

Model code and software

ARcatalog (UCLA) Bin Guan https://ucla.box.com/ARcatalog

ARTMIP Tier 1 Catalogues The National Center for Atmospheric Research (NCAR) https://doi.org/10.5065/D6R78D1M

Download

Article (16610 KB)
Full-text XML

Short summary

We focus on anomalous moisture transport events known as atmospheric rivers (ARs). During ACLOUD and PASCAL, three AR events were identified: 30 May, 6 June, and 9 June 2017. We explore their spatio-temporal evolution and precipitation patterns using measurements, reanalyses, and a model. We show the importance of the following: Atlantic and Siberian pathways during spring–summer in the Arctic, AR-associated heat/moisture increase, precipitation phase transition, and high-resolution datasets.