Identifying anomalously early spring onsets in the CESM large ensemble project

Climate Dynamics

Volumn 48, Issue 11-12, 2017, Pages 3949-3966

  Labe, Zachary ^a   Ault, Toby ^b   Zurita Milla, Raul ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Department of Earth and Atmospheric Sciences   (United States)

^c UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Climate variability; Phenology; Seasonal dynamics; Spring onset

Indexed keywords

AGRICULTURAL PRODUCTION; ATMOSPHERIC DYNAMICS; ENSEMBLE FORECASTING; EXTREME EVENT; FUTURE PROSPECT; PACIFIC DECADAL OSCILLATION; PHENOLOGY; SEASONAL VARIATION; SPRING (SEASON); WEATHER FORECASTING;

GREAT LAKES [NORTH AMERICA]; UNITED STATES;

EID: 84982272547     PISSN: 09307575     EISSN: 14320894     Source Type: Journal    
DOI: 10.1007/s00382-016-3313-2     Document Type: Article

References (42)

1. Allstadt AJ, Vavrus SJ, Heglund PJ, Pidgeon AM, Thogmartin WE, Radeloff VC (2015) Spring plant phenology and false springs in the conterminous US during the 21st century. Environ Res Lett 10(10):104,008. doi:10.1088/1748-9326/10/10/104008
2. Ault TR, Macalady AK, Pederson GT, Betancourt JL, Schwartz MD (2011) Northern hemisphere modes of variability and the timing of spring in western North America. J Clim 24(15):4003–4014. doi:10.1175/2011JCLI4069.1
3. Ault TR, Henebry GM, de Beurs KM, Schwartz MD, Betancourt JL, Moore D (2013) The false spring of 2012, earliest in North American record. EOS, Trans Am Geophys Union 94(20):181–182. doi:10.1002/2013EO200001
4. Ault TR, Schwartz MD, Zurita-Milla R, Weltzin JF, Betancourt JL (2015a) Trends and natural variability of spring onset in the coterminous United States as evaluated by a new gridded dataset of spring indices. J Clim. doi:10.1175/JCLI-D-14-00736.1
5. Ault TR, Zurita-Milla R, Schwartz MD (2015) A Matlab toolbox for calculating spring indices from daily meteorological data. Comput Geosci 83:46–53. doi:10.1016/j.cageo.2015.06.015, http://www.sciencedirect.com/science/article/pii/S0098300415001466
6. Blunden J, Arndt DS (2013) State of the climate in 2012. Bull Am Meteorol Soc 94(8):S1–S258. doi:10.1175/2013BAMSStateoftheClimate.1
7. Cook BI, Wolkovich EM, Davies TJ, Ault TR, Betancourt JL, Allen JM, Bolmgren K, Cleland EE, Crimmins TM, Kraft NJB, Lancaster LT, Mazer SJ, McCabe GJ, McGill BJ, Parmesan C, Pau S, Regetz J, Salamin N, Schwartz MD, Travers SE (2012) Sensitivity of spring phenology to warming across temporal and spatial climate gradients in two independent databases. Ecosystems 15(8):1283–1294. doi:10.1007/s10021-012-9584-5
8. Dole R, Hoerling M, Kumar A, Eischeid J, Perlwitz J, Quan XW, Kiladis G, Webb R, Murray D, Chen M, Wolter K, Zhang T (2014) The making of an extreme event: putting the pieces together. Bull Am Meteorol Soc 95(3):427–440. doi:10.1175/BAMS-D-12-00069.1
9. Ellwood ER, Temple SA, Primack RB, Bradley NL, Davis CC (2013) Record-breaking early flowering in the eastern United States. PloS One 8(1):e53,788. doi:10.1371/journal.pone.0053788
10. IPCC (2007) Climate change 2007: impacts, adaptation and vulnerability. In: Parry ML, Canziani OF, Palutikof JP, van der Linden PJ, Hanson CE (eds) Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, UK, p 976
11. Jolly WM, Nemani R, Running SW (2005) A generalized, bioclimatic index to predict foliar phenology in response to climate. Glob Change Biol 11(4):619–632. doi:10.1111/j.1365-2486.2005.00930.x
12. Kanamitsu M, Ebisuzaki W, Woollen J, Yang SK, Hnilo JJ, Fiorino M, Potter GL (2002) NCEPDOE AMIP-II reanalysis (R-2). Bull Am Meteorol Soc 83(11):1631–1643. doi:10.1175/BAMS-83-11-1631
13. Kay JE, Deser C, Phillips A, Mai A, Hannay C, Strand G, Arblaster JM, Bates SC, Danabasoglu G, Edwards J, Holland M, Kushner P, Lamarque JF, Lawrence D, Lindsay K, Middleton A, Munoz E, Neale R, Oleson K, Polvani L, Vertenstein M (2014) The community earth system model (CESM) large ensemble project: A community resource for studying climate change in the presence of internal climate variability. Bull Am Meteorol Soc. doi:10.1175/BAMS-D-13-00255.1
14. Knudson WA (2012) The economic impact of this spring’s weather on the fruit and vegetable sectors. Strategic Marketing Institute, Michigan State University, Working Paper
15. Lieth H (ed) (1974) Phenology and seasonality modeling, ecological studies, vol 8. Springer, Berlin. doi:10.1007/978-3-642-51863-8
16. Mantua NJ, Hare SR (2002) The Pacific decadal oscillation. J Oceanogr 58(1):35–44
17. Mantua NJ, Hare SR, Zhang Y, Wallace JM, Francis RC (1997) A Pacific interdecadal oscillation with impacts on salmon production. Bull Am Meteorol Soc 78(1069–10):079
18. Marino GP, Kaiser DP, Gu L, Ricciuto DM (2011) Reconstruction of false spring occurrences over the southeastern United States, 19012007: an increasing risk of spring freeze damage? Environ Res Lett 6(2):024,015. doi:10.1088/1748-9326/6/2/024015
19. McCabe GJ, Palecki Ma (2006) Multidecadal climate variability of global lands and oceans. Int J Climatol 26(7):849–865. doi:10.1002/joc.1289
20. McCabe GJ, Ault TR, Cook BI, Betancourt JL, Schwartz MD (2011) Influences of the El Niño southern oscillation and the Pacific decadal oscillation on the timing of the North American spring. Int J Climatol. doi:10.1002/joc.3400
21. McCabe GJ, Betancourt JL, Pederson GT, Schwartz MD (2013) Variability common to first leaf dates and snowpack in the western conterminous United States. Earth Interact 17(26):1–18. doi:10.1175/2013EI000549.1
22. Meehl Ga, Washington WM, Arblaster JM, Hu A, Teng H, Tebaldi C, Sanderson BN, Lamarque JF, Conley A, Strand WG, White JB (2012) Climate system response to external forcings and climate change projections in CCSM4. J Clim 25(11):3661–3683. doi:10.1175/JCLI-D-11-00240.1
23. Meinshausen M, Smith SJ, Calvin K, Daniel JS, Kainuma MLT, Lamarque JF, Matsumoto K, Montzka SA, Raper SCB, Riahi K, Thomson A, Velders GJM, Vuuren DP (2011) The RCP greenhouse gas concentrations and their extensions from 1765 to 2300. Clim Change 109(1–2):213–241. doi:10.1007/s10584-011-0156-z
24. Moss RH, Ja Edmonds, Ka Hibbard, Manning MR, Rose SK, van Vuuren DP, Carter TR, Emori S, Kainuma M, Kram T, Ga Meehl, Mitchell JFB, Nakicenovic N, Riahi K, Smith SJ, Stouffer RJ, Thomson AM, Weyant JP, Wilbanks TJ (2010) The next generation of scenarios for climate change research and assessment. Nature 463(7282):747–756. doi:10.1038/nature08823, http://www.ncbi.nlm.nih.gov/pubmed/20148028
25. Mueller R (2013) Berkeley earth temperature averaging process. Geoinform Geostat Overv. doi:10.4172/2327-4581.1000103, http://www.scitechnol.com/2327-4581/2327-4581-1-103.php
26. Oyler JW, Dobrowski SZ, Ballantyne AP, Klene AE, Running SW (2014) Artificial amplification of warming trends across the mountains of the Western United States. Geophys Res Lett. doi:10.1002/2014GL062803
27. Parmesan C (2006) Ecological and evolutionary responses to recent climate change. Ann Rev Ecol Evol Syst. doi:10.2307/annurev.ecolsys.37.091305.30000024, http://arjournals.annualreviews.org/doi:/abs/10.1146/annurev.ecolsys.37.091305.110100, http://cns.utexas.edu/communications/File/AnnRev_CCimpacts2006. nISI:000243038500023
28. Peterson AG, Abatzoglou JT (2014) Observed changes in false springs over the contiguous United States. Geophys Res Lett 41(6):2156–2162. doi:10.1002/2014GL059266
29. Phillips AS, Deser C, Fasullo J (2014) Evaluating modes of variability in climate models. EOS, Trans Am Geophys Union 95(49):453–455. doi:10.1002/2014EO490002
30. Pielke RA (2001) Influence of the spatial distribution of vegetation and soils on the prediction of cumulus convective rainfall. Rev Geophys 39(2):151–177. doi:10.1029/1999RG000072
31. Rosemartin AH, Denny EG, Weltzin JF, Lee Marsh R, Wilson BE, Mehdipoor H, Zurita-Milla R, Schwartz MD (2015) Lilac and honeysuckle phenology data 19562014. Sci Data 2(150):038. doi:10.1038/sdata.2015.38, http://www.nature.com/articles/sdata201538
32. Schwartz MD (1985) The advance of phenological spring across Eastern and Central North America. Ph.D. thesis, University of Kansas
33. Schwartz MD (1992) Phenology and springtime surface-layer change. Mon Weather Rev 120(11):2570–2578
34. Schwartz MD (1993) Assessing the onset of spring: a climatological perspective. Phys Geogr 14(6):536–550
35. Schwartz MD, Carbone GJ, Reighard GL, Okie WR (1997) A model to predict peach phenology and maturity using meteorological variables. Hortscience 32(2):213–216
36. Schwartz MD, Ahas R, Aasa A (2006) Onset of spring starting earlier across the Northern Hemisphere. Glob Change Biol 12(2):343–351. doi:10.1111/j.1365-2486.2005.01097.x
37. Schwartz MD, Betancourt JL, Weltzin JF (2012) From Caprio’s lilacs to the USA national phenology network. Front Ecol Environ 10(6):324–327. doi:10.1890/110281
38. Schwartz MD, Ault TR, Betancourt JL (2013) Spring onset variations and trends in the continental United States: past and regional assessment using temperature-based indices. Int J Climatol 33(13):2917–2922. doi:10.1002/joc.3625
39. US Department of Commerce, NOAA NWS (2012) March 2012: unprecident heat. http://www.crh.noaa.gov/news/display_cmsstory.php?wfo=lot&storyid=80740&source=2
40. White MA, de Beurs KM, Didan K, Inouye DW, Richardson AD, Jensen OP, O’Keefe J, Zhang G, Nemani RR, van Leeuwen WJD, Brown JF, de Wit A, Schaepman M, Lin XM, Dettinger M, Bailey AS, Kimball J, Schwartz MD, Baldocchi DD, Lee JT, Lauenroth WK (2009) Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982–2006. Glob Change Biol 15(10):2335–2359
41. Zhang L, Delworth TL (2016) Simulated response of the Pacific decadal oscillation to climate change. J Clim. doi:10.1175/JCLI-D-15-0690.1
42. Zurita-Milla R, van Gijsel JAE, Hamm NAS, Augustijn PWM, Vrieling A (2013) Exploring spatiotemporal phenological patterns and trajectories using self-organizing maps. IEEE Trans Geosci Remote Sens 51(4):1914–1921. doi:10.1109/TGRS.2012.2223218, http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6361479