Articles | Volume 24, issue 3
https://doi.org/10.5194/acp-24-1641-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-1641-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Feb 2024
Research article |
| 06 Feb 2024
| 06 Feb 2024
Quantifying the contribution of atmospheric circulation to precipitation variability and changes in the US Great Plains and southwest using self-organizing map–analogue
Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA 90095, USA
Rong Fu
Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA 90095, USA
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Cited articles
Cassano, J. J., Uotila, P., Lynch, A. H., and Cassano, E. N.: Predicted changes in synoptic forcing of net precipitation in large Arctic river basins during the 21st century, J. Geophys. Res.-Biogeo., 112, G04s49, https://doi.org/10.1029/2006jg000332, 2007.
Chen, M. and Xie, P.: CPC Unified Gauge-Based Analysis of Daily Precipitation over CONUS, NOAA [data set], https://psl.noaa.gov/data/gridded/data.unified.daily.conus.html (last access: 8 January 2022), 2022.
Christidis, N. and Stott, P. A.: Changes in the geopotential height at 500 hPa under the influence of external climatic forcings, Geophys. Res. Lett., 42, 10798–10806, https://doi.org/10.1002/2015gl066669, 2015.
Ciancarelli, B., Castro, C. L., Woodhouse, C., Dominguez, F., Chang, H. I., Carrillo, C., and Griffin, D.: Dominant patterns of US warm season precipitation variability in a fine resolution observational record, with focus on the southwest, Int. J. Climatol., 34, 687–707, https://doi.org/10.1002/joc.3716, 2014.
Dai, A.: The influence of the inter-decadal Pacific oscillation on US precipitation during 1923–2010, Clim. Dynam.,, 41, 633–646, https://doi.org/10.1007/s00382-012-1446-5, 2013.
Deser, C., Terray, L., and Phillips, A. S.: Forced and Internal Components of Winter Air Temperature Trends over North America during the past 50 Years: Mechanisms and Implications, J. Climate, 29, 2237–2258, https://doi.org/10.1175/Jcli-D-15-0304.1, 2016.
Elias, E., Rango, A., Smith, R., Maxwell, C., Steele, C., and Havstad, K.: Climate Change, Agriculture and Water Resources in the Southwestern United States, J. Contemp. Wat. Res. Ed., 158, 46–61, https://doi.org/10.1111/j.1936-704X.2016.03218.x, 2016.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R.J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: Complete ERA5 from 1940: Fifth generation of ECMWF atmospheric reanalyses of the global climate, Copernicus Climate Change Service (C3S) Data Store (CDS) [data set], https://doi.org/10.24381/cds.143582cf, 2017.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horanyi, A., Munoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Holm, E., Janiskova, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thepaut, J. N.: The ERA5 global reanalysis, Q. J. Roy. Meteorol. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.
Hoerling, M., Eischeid, J., Kumar, A., Leung, R., Mariotti, A., Mo, K., Schubert, S., and Seager, R.: Causes and Predictability of the 2012 Great Plains Drought, B. Am. Meteorol. Soc., 95, 269–282, https://doi.org/10.1175/Bams-D-13-00055.1, 2014.
Horowitz, R. L., McKinnon, K. A., and Simpson, I. R.: Circulation and Soil Moisture Contributions to Heatwaves in the United States, J. Climate, 35, 8031–8048, https://doi.org/10.1175/jcli-d-21-0156.1, 2022.
Horton, D. E., Johnson, N. C., Singh, D., Swain, D. L., Rajaratnam, B., and Diffenbaugh, N. S.: Contribution of changes in atmospheric circulation patterns to extreme temperature trends, Nature, 522, 465–469, https://doi.org/10.1038/nature14550, 2015.
Hu, D. and Guan, Z.: Decadal Relationship between the Stratospheric Arctic Vortex and Pacific Decadal Oscillation, J. Climate, 31, 3371–3386, https://doi.org/10.1175/JCLI-D-17-0266.1, 2018.
Hu, Q. and Feng, S.: Variation of the North American summer monsoon regimes and the Atlantic multidecadal oscillation, J. Climate, 21, 2371–2383, https://doi.org/10.1175/2007jcli2005.1, 2008.
Hu, Q., Feng, S., and Oglesby, R. J.: Variations in North American Summer Precipitation Driven by the Atlantic Multidecadal Oscillation, J. Climate, 24, 5555–5570, https://doi.org/10.1175/2011JCLI4060.1, 2011.
Hu, Z. Z. and Huang, B. H.: Interferential Impact of ENSO and PDO on Dry and Wet Conditions in the US Great Plains, J. Climate, 22, 6047–6065, https://doi.org/10.1175/2009jcli2798.1, 2009.
Jezequel, A., Yiou, P., and Radanovics, S.: Role of circulation in European heatwaves using flow analogues, Clim. Dynam., 50, 1145–1159, https://doi.org/10.1007/s00382-017-3667-0, 2018.
Kaski, S. and Lagus, K.: Comparing self-organizing maps, in: Artificial Neural Networks – ICANN 96, edited by: von der Malsburg, C., von Seelen, W., Vorbrüggen, J. C., and Sendhoff, B., Springer, Berlin, Heidelberg, 809–814, https://doi.org/10.1007/3-540-61510-5_136, 1996.
Kiem, A. S., Frank, S. W., and Kuczera, G.: Multi-decadal variability of flood risk, Geophys. Res. Lett., 30, 1035, https://doi.org/10.1029/2002GL015992, 2003.
Kirchmeier-Young, M. C. and Zhang, X. B.: Human influence has intensified extreme precipitation in North America, P. Natl. Acad. Sci. USA, 117, 13308–13313, https://doi.org/10.1073/pnas.1921628117, 2020.
Kohonen, T.: The Self-Organizing Map, Proc. IEEE, 78, 1464–1480, https://doi.org/10.1109/5.58325, 1990.
Lehner, F., Deser, C., Simpson, I. R., and Terray, L.: Attributing the US Southwest's Recent Shift Into Drier Conditions, Geophys. Res. Lett., 45, 6251–6261, https://doi.org/10.1029/2018gl078312, 2018.
Liu, Y. G. and Weisberg, R. H.: A Review of Self-Organizing Map Applications in Meteorology and Oceanography, Self Organizing Maps – Applications and Novel Algorithm Design, 253–272, https://doi.org/10.5772/566, 2011.
Mankin, J. S., Simpson, I., Hoell, A., Fu, R., Lisonbee, J., Sheffield, A., and Barrie, D.: NOAA Drought Task Force Report on the 2020–2021 Southwestern U.S. Drought, NOAA Drought Task Force, MAPP, and NIDIS, https://www.drought.gov/documents/noaa-drought-task-force-report-2020-2021-southwestern-us-drought (last access: 7 March 2023), 2021.
McKinnon, K. A. and Deser, C.: The Inherent Uncertainty of Precipitation Variability, Trends, and Extremes due to Internal Variability, with Implications for Western US Water Resources, J Climate, 34, 9605-9622, 10.1175/Jcli-D-21-0251-1, 2021.
Myoung, B. and Nielsen-Gammon, J. W.: The Convective Instability Pathway to Warm Season Drought in Texas. Part I: The Role of Convective Inhibition and Its Modulation by Soil Moisture, J. Climate, 23, 4461–4473, https://doi.org/10.1175/2010jcli2946.1, 2010.
National Center for Environmental Information: Pacific Decadal Oscillation (PDO), National Center for Environmental Information [data set], https://www.ncei.noaa.gov/access/monitoring/pdo/ (last access: 2 April 2022), 2022.
NOAA NCEI – National Centers for Environmental Information: US Billion-Dollar Weather and Climate Disasters, NOAA, https://doi.org/10.25921/stkw-7w73, 2023.
Parton, W. J., Gutmann, M. P., Merchant, E. R., Hartman, M. D., Adler, P. R., McNeal, F. M., and Lutz, S. M.: Measuring and mitigating agricultural greenhouse gas production in the US Great Plains, 1870–2000, P. Natl. Acad. Sci. USA, 112, E4681–E4688, https://doi.org/10.1073/pnas.1416499112, 2015.
Pu, B., Dickinson, R. E., and Fu, R.: Dynamical connection between Great Plains low-level winds and variability of central Gulf States precipitation, J. Geophys. Res.-Atmos., 121, 3421–3434, 10.1002/2015jd024045, 2016.
Reusch, D. B., Alley, R. B., and Hewitson, B. C.: Relative Performance of Self-Organizing Maps and Principal Component Analysis in Pattern Extraction from Synthetic Climatological Data, Polar Geogr., 29, 188–212, https://doi.org/10.1080/789610199, 2005.
Ropelewski, C. F. and Halpert, M. S.: North-American Precipitation and Temperature Patterns Associated with the Elnino Southern Oscillation (Enso), Mon. Weather Rev., 114, 2352–2362, https://doi.org/10.1175/1520-0493(1986)114<2352:Napatp>2.0.Co;2, 1986.
Seager, R., Goddard, L., Nakamura, J., Henderson, N., and Lee, D. E.: Dynamical Causes of the 2010/11 Texas-Northern Mexico Drought, J. Hydrometeorol., 15, 39–68, https://doi.org/10.1175/Jhm-D-13-024.1, 2014.
Siler, N., Proistosescu, C., and Po-Chedley, S.: Natural Variability Has Slowed the Decline in Western US Snowpack Since the 1980s, Geophys. Res. Lett., 46, 346–355, https://doi.org/10.1029/2018gl081080, 2019.
Sippel, S., Meinshausen, N., Merrifield, A., Lehner, F., Pendergrass, A. G., Fischer, E., and Knutti, R.: Uncovering the forced climate response from a single ensemble member using statistical learning, J. Climate, 32, 5677–5699, https://doi.org/10.1175/jcli-d-18-0882.1, 2019.
Swales, D., Alexander, M., and Hughes, M.: Examining moisture pathways and extreme precipitation in the US Intermountain West using self-organizing maps, Geophys. Res. Lett., 43, 1727–1735, https://doi.org/10.1002/2015gl067478, 2016.
Terray, L.: A dynamical adjustment perspective on extreme event attribution, Weather Clim Dynam., 2, 971–989, https://doi.org/10.5194/wcd-2-971-2021, 2021.
Vatanen, T.: SOM-Toolbox, GitHub [code], https://github.com/ilarinieminen/SOM-Toolbox (last access: 14 August 2021), 2021.
Vatanen, T., Osmala, M., Raiko, T., Lagus, K., Sysi-Aho, M., Oresic, M., Honkela, T., and Landesmaki, H.: Self-organization and missing values in SOM and GTM, Neurocomputing, 147, 60–70, https://doi.org/10.1016/j.neucom.2014.02.061, 2015.
Whan, K. and Zwiers, F.: The impact of ENSO and the NAO on extreme winter precipitation in North America in observations and regional climate models, Clim. Dynam., 48, 1401–1411, https://doi.org/10.1007/s00382-016-3148-x, 2017.
Yiou, P., Vautard, R., Naveau, P., and Cassou, C.: Inconsistency between atmospheric dynamics and temperatures during the exceptional 2006/2007 fall/winter and recent warming in Europe, Geophys. Res. Lett., 34, L21808, https://doi.org/10.1029/2007gl031981, 2007.
Zhang, Y., Wallace, J. M., and Battisti, D. S.: ENSO-like interdecadal variability: 1900–93, J. Climate, 10, 1004–1020, https://doi.org/10.1175/1520-0442(1997)010<1004:Eliv>2.0.Co;2, 1997.
Zhuang, Y. Z., Fu, R., and Wang, H. Q.: Large-Scale Atmospheric Circulation Patterns Associated With US Great Plains Warm Season Droughts Revealed by Self-Organizing Maps, J. Geophys. Res.-Atmos., 125, e2019JD031460, https://doi.org/10.1029/2019JD031460, 2020.
Zhuang, Y. Z., Erfanian, A., and Fu, R.: Dryness over the US Southwest, a Springboard for Cold Season Pacific SST to Influence Warm Season Drought over the US Great Plains, J. Hydrometeorol., 22, 63–76, https://doi.org/10.1175/Jhm-D-20-0029.1, 2021a.
Zhuang, Y. Z., Fu, R., Santer, B. D., Dickinson, R. E., and Hall, A.: Quantifying contributions of natural variability and anthropogenic forcings on increased fire weather risk over the western United States, P. Natl. Acad. Sci. USA, 118, e2111875118, https://doi.org/10.1073/pnas.2111875118, 2021b.
Short summary
This study investigated how atmospheric circulation affects precipitation variability and changes in the US Great Plains (GP) and southwest (SW). By developing a new method called self organizing map–analogue, we found that circulation significantly influences short-term precipitation variability, accounting for 54 %–61 % of the total variance. Furthermore, circulation contributes considerably to the multi-decadal changes in precipitation and its extremes, especially for the southern GP and SW.
This study investigated how atmospheric circulation affects precipitation variability and...
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