Abstract
The relative contributions of ocean modes to the JJA and DJF land precipitation variabilities during 1934–2015 are investigated using a variety of statistical and dynamical system methods, i.e., singular value decomposition (SVD), multivariate linear regression, and information flow analysis. Through SVD analysis for the tropical land precipitation and sea surface temperature (SST), three ocean modes are found to most affect the trend and interdecadal variation of the land precipitation. They are the global warming (GW) mode, Atlantic Multidecadal Oscillation (AMO) and Interdecadal Pacific Oscillation (IPO). GW contributes dominantly to the tropical land rainfall variability in both the JJA and DJF seasons. In JJA (DJF), AMO (IPO) plays a role only secondary to GW. Locally, within the thin latitude bands 10° S–10° N, 50° N–60° N and 40° S–50° S, GW, AMO and IPO are of equal importance in JJA; outside these bands, in the same season the first two dominate. In the band 10° N–40° N, IPO is the primary contributor in DJF, but outside it, GW dominates. Also, these contributions differ geographically from continent to continent. These results have been substantiated in the application of information flow analysis, a recently developed method in physics for the inference of causality between dynamical events. In terms of information flow, we have presented the regions of sensitivity to the three modes. Also presented are a number of ECHAM model experiments, which, besides verifying the above results, show for the first time that the Indian Ocean is pivotal in having AMO and IPO in effect in causing the precipitation variabilities.
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References
Allen MR, Ingram WJ (2002) Constraints on future changes in climate and the hydrologic cycle. Nature 419:224–232. https://doi.org/10.1038/nature01092
Bader J, Latif M (2003a) The impact of decadal-scale Indian ocean sea surface temperature anomalies on Sahelian rainfall and the north Atlantic oscillation. Geophys Res Lett 30:2169. https://doi.org/10.1029/2003GL018426
Bader J, Latif M (2003b) The impact of decadal-scale Indian ocean sea surface temperature anomalies on Sahelian rainfall and the north Atlantic oscillation. Geophys Res Lett 30:2169–2172. https://doi.org/10.1029/2003GL018426
Baines P, Folland C (2007) Evidence for a rapid global climate shift across the late 1960s. J Clim 20:2721–2744. https://doi.org/10.1175/JCLI4177.1
Bretherton CS, Smith C, Wallace JM (1992) An intercomparision of methods for finding coupled patterns in climate data. J Clim 5:541–560. https://doi.org/10.1175/1520-0442(1992)005<0541:AIOMFF>2.0.CO;2
Cane MA, Clement AC, Kaplan A et al (1997) Twentieth-century sea surface temperature trends. Science 275:957–960. https://doi.org/10.1126/science.275.5302.957
Chou C, Neelin JD (2004) Mechanisms of global warming impacts on regional tropical precipitation. J Clim 17:2688–2701
Cole JE, Dunbar R, Mcclanahan T, Muthiga N (2000) Tropical pacific forcing of decadal SST variability in the western indian ocean over the past two centuries. Science 287:617–619. https://doi.org/10.1126/science.287.5453.617
Dai A (2013) The influence of the inter-decadal Pacific oscillation on US precipitation during 1923–2010. Clim Dyn 41:633–646. https://doi.org/10.1007/s00382-012-1446-5
Dai A, Fung IY (1997) Surface observed global land precipitation variations during 1900–1988. J Clim 10:2943–2962
Dawdy DR, Matalas NC (2020) Statistical and probability analysis of hydrologic data, part III: Analysis of variance, covariance and time series. In: Te Chow V (ed) Handbook of applied hydrology. pp 868–890
Deser C, Phillips A, Hurrell JW (2004) Pacific interdecadal climate variability: linkages between the tropics and the north pacific during boreal winter since 1900. J Clim 17:3109–3124
Dong B, Dai A (2015) The influence of the interdecadal pacific oscillation on temperature and precipitation over the globe. Clim Dyn 45:2667–2681. https://doi.org/10.1007/s00382-015-2500-x
Dong L, McPhaden MJ (2017a) The role of external forcing and internal variability in regulating global mean surface temperatures on decadal timescales. Environ Res Lett 12:034011. https://doi.org/10.1088/1748-9326/aa5dd8
Dong L, McPhaden MJ (2017b) Why has the relationship between Indian and Pacific Ocean decadal variability changed in recent decades? J Clim 30:1971–1983. https://doi.org/10.1175/JCLI-D-16-0313.1
Dong L, Zhou T, Dai A et al (2016) The footprint of the inter-decadal Pacific oscillation in Indian ocean sea surface temperatures. Sci Rep 6:21251. https://doi.org/10.1038/srep21251
Emori S, Brown SJ (2005) Dynamic and thermodynamic changes in mean and extreme precipitation under changed climate: mean and exterme precipitation changes. Geophys Res Lett 32:L17706. https://doi.org/10.1029/2005GL023272
Folland CK, Palmer TN, Parker DE (1986) Sahel rainfall and worldwide sea temperatures, 1901–1985. Nature 320:602–607. https://doi.org/10.1038/320602a0
Greve P, Orlowsky B, Mueller B et al (2014) Global assessment of trends in wetting and drying over land. Nat Geosci 7:716–721. https://doi.org/10.1038/ngeo2247
Gromping U (2006) Relative importance for linear regression in R: the package relaimpo. J Stat Softw 17:2–27. https://doi.org/10.18637/jss.v017.i01
Gu G, Adler RF (2013) Interdecadal variability/long-term changes in global precipitation patterns during the past three decades: global warming and/or pacific decadal variability? Clim Dyn 40:3009–3022. https://doi.org/10.1007/s00382-012-1443-8
Gu G, Adler RF (2015) Spatial patterns of global precipitation change and variability during 1901–2010. J Clim 28:4431–4453. https://doi.org/10.1175/JCLI-D-14-00201.1
Han W, Meehl GA, Hu A, Zheng J, Kenigson J, Vialard J, Rajagopalan B (2017) Decadal variability of the indian and pacific walker cells since the 1960s: do they covary on decadal time scales? J Climate 30:8447–8468. https://doi.org/10.1175/JCLI-D-16-0783.1
Han W, Vialard J, Mcphaden MJ et al (2014) Indian ocean decadal variability: a review. Bull Am Meteorol Soc 95:1679–1703. https://doi.org/10.1175/BAMS-D-13-00028.1
Hansen J, Sato M, Ruedy R et al (2006) Global temperature change. Proc Natl Acad Sci 103:14288–14293. https://doi.org/10.1073/pnas.0606291103
Harris I, Jones PD, Osborn TJ, Lister DH (2014) Updated high-resolution grids of monthly climatic observations–the CRU TS3.10 dataset. Int J Climatol 34:623–642. https://doi.org/10.1002/joc.3711
Held IM, Soden BJ (2006) Robust responses of the hydrological cycle to global warming. J Clim 19:5686–5699. https://doi.org/10.1175/JCLI3990.1
Henley B, Thyer M, Kuczera G (2013) Climate driver informed short-term drought risk evaluation. Water Resour Res 49:2317–2326. https://doi.org/10.1002/wrcr.20222
Hoerling M, Kumar A (2003) The perfect ocean for drought. Science 299:691–694. https://doi.org/10.1126/science.1079053
Hu Z-Z (1997) Interdecadal variability of summer climate over East Asia and its association with 500 hPa height and global sea surface temperature. J Geophys Res 102:19403–19412. https://doi.org/10.1029/97JD01052
John VO, Allan RP, Soden BJ (2009) How robust are observed and simulated precipitation responses to tropical ocean warming? Geophys Res Lett 36:L14702. https://doi.org/10.1029/2009GL038276
Kalnay E, Kanamitsu M, Kistler R, et al (1996) The NCEP/NCAR reanalysis 40-year project. Bull Am Meteorol Soc 77:437–471
Kerr RA (2007) A north atlantic climate pacemaker for the centuries. Science 288:1984–1985. https://doi.org/10.1126/science.288.5473.1984
Knight JR, Folland CK, Scaife AA (2006) Climate impacts of the atlantic multidecadal oscillation. Geophys Res Lett 33:L17706. https://doi.org/10.1029/2006GL026242
Krishnan R, Sugi M (2003) Pacific decadal oscillation and variability of the Indian summer monsoon rainfall. Clim Dyn 21:233–242. https://doi.org/10.1007/s00382-003-0330-8
Kushnir Y (1994) Interdecadal variations in north atlantic sea surface temperature and associated atmospheric conditions. J Clim 7:141–157
Liang XS (2014) Unraveling the cause-effect relation between time series. Phys Rev E 90:052150. https://doi.org/10.1103/PhysRevE.90.052150
Liang XS (2016) Information flow and causality as rigorous notions ab initio. Phys Rev E 94:052201. https://doi.org/10.1103/PhysRevE.94.052201
Lu J (2009) The dynamics of the Indian Ocean sea surface temperature forcing of Sahel drought. Clim Dyn 33:445–460. https://doi.org/10.1007/s00382-009-0596-6
Mantua NJ, Hare SR, Zhang Y et al (1997) A pacific interdecadal climate oscillation with impacts on salmon production. Bull Amer Meteor Soc 78:1069–1079
McCabe GJ, Palecki MA, Betancourt JL (2004) Pacific and Atlantic Ocean influences on multidecadal drought frequency in the United States. Proc Natl Acad Sci 101:4136–4141. https://doi.org/10.1073/pnas.0306738101
Meehl GA, Hu A (2006) Megadroughts in the Indian monsoon and southwest North America and a mechanism for associated multi-decadal Pacific sea surface temperature anomalies. J Clim 19:1605–1623
Meehl GA, Hu A, Arblaster JM et al (2013) Externally forced and internally generated decadal climate variability associated with the interdecadal pacific oscillation. J Clim 26:7298–7310. https://doi.org/10.1175/JCLI-D-12-00548.1
Mohino E, Janicot S, Bader J (2011) Sahel rainfall and decadal to multi-decadal sea surface temperature variability. Clim Dyn 37:419–440. https://doi.org/10.1007/s00382-010-0867-2
Power S, Casey T, Folland C, Colman A, Mehta V (1999) Interdecadal modulation of the impact of ENSO on Australia. Clim Dyn 15:319–324. https://doi.org/10.1007/s003820050284
Rayner AN (2011) Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J Geophys Res 108:4407. https://doi.org/10.1029/2002JD002670
Reason CJC (2002) ENSO-like decadal variability and South African rainfall. Geophy Res Lett 29:1638. https://doi.org/10.1029/2002GL014663
Roeckner E et al (1996) The atmospheric general circulation model ECHAM-4: Model description and simulation of present-day climate. Report 218. Max-Planck-Institut für Meteorologie, Hamburg
Salinger MJ, Renwick JA, Mullan AB (2001) Interdecadal pacific oscillation and south pacific climate. Int J Climatol 21:1705–1721. https://doi.org/10.1002/joc.691
Schlesinger ME, Ramankutty N (1994) An oscillation in the global climate system of period 65–70 years. Nature 367:723–726. https://doi.org/10.1038/367723a0
Schneider U, Becker A, Finger P et al (2014) GPCC’s new land surface precipitation climatology based on quality-controlled in situ data and its role in quantifying the global water cycle. Theor Appl Climatol 115:15–40. https://doi.org/10.1007/s00704-013-0860-x
Smith T, Reynolds R, Peterson T, Lawrimore J (2008) Improvements to NOAA’s historical merged land–ocean surface temperature analysis (1880–2006). J Clim 21:2283–2296. https://doi.org/10.1175/2007JCLI2100.1
Stips A, Macías D, Eayrs C et al (2016) On the causal structure between CO2 and global temperature. Sci Rep 6:21691. https://doi.org/10.1038/srep21691
Tierney JE, Smerdon JE, Anchukaitis KJ, Seager R (2013) Multidecadal variability in East African hydroclimate controlled by the Indian Ocean. Nature 493:389–392. https://doi.org/10.1038/nature11785
Verdon D, Wyatt A, Kiem A, Franks S (2004) Multidecadal variability of rainfall and streamflow: Eastern Australia. Water Resour Res 40:W10201. https://doi.org/10.1029/2004WR003234
Wilcox LJ, Highwood EJ, Dunstone NJ (2013) The influence of anthropogenic aerosol on multi-decadal variations of historical global climate. Environ Res Lett 8:024033. https://doi.org/10.1088/1748-9326/8/2/024033
Williams AP, Funk C (2011) A westward extension of the warm pool leads to a westward extension of the Walker circulation, drying eastern Africa. Clim Dyn 37:2417–2435. https://doi.org/10.1007/s00382-010-0984-y
Wu Z, Huang N (2009) Ensemble empirical mode decomposition: a noise-assisted data analysis method. Adv Adapt Data Anal 1:1–41. https://doi.org/10.1142/S1793536909000047
Xie S, Deser C, Vecchi GA et al (2010) Global warming pattern formation: sea surface temperature and rainfall. J Clim 23:966–986. https://doi.org/10.1175/2009JCLI3329.1
Yang Q, Ma Z, Fan X et al (2017) Decadal modulation of precipitation patterns over eastern china by sea surface temperature anomalies. J Clim 30:7017–7033. https://doi.org/10.1175/JCLI-D-16-0793.1
Zeng-Zhen Hu (1997) Interdecadal variability of summer climate over East Asia and its association with 500 hPa height and global sea surface temperature. J Geophys Res Atmos. https://doi.org/10.1029/97jd01052
Zhang H, Wen Z, Wu R et al (2017) Inter-decadal changes in the East Asian summer monsoon and associations with sea surface temperature anomaly in the South Indian Ocean. Clim Dyn 48:1125–1139. https://doi.org/10.1007/s00382-016-3131-6
Zhang R, Delworth TL (2006) Impact of Atlantic multidecadal oscillations on India/Sahel rainfall and Atlantic hurricanes. Geophys Res Lett 33:L17712. https://doi.org/10.1029/2006GL026267
Zhang X, Zwiers FW, Hegerl GC et al (2007) Detection of human influence on twentieth-century precipitation trends. Nature 448:461–465. https://doi.org/10.1038/nature06025
Zhang Y, Wallace JM, Battisti DS (1997) ENSO-like interdecadal variability: 1900–1993. J Clim 10:1004–1020
Zhou T, Yu R, Zhang J et al (2009) Why the western pacific subtropical high has extended westward since the Late 1970s. J Clim 22:2199–2215. https://doi.org/10.1175/2008JCLI2527.1
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This study is supported by the National Key Research and Development Program of China (2016YFA0600402) and the National Natural Science Foundation of China (41630423).
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Tao, L., Liang, X.S., Cai, L. et al. Relative contributions of global warming, AMO and IPO to the land precipitation variabilities since 1930s. Clim Dyn 56, 2225–2243 (2021). https://doi.org/10.1007/s00382-020-05584-w
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DOI: https://doi.org/10.1007/s00382-020-05584-w