The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Anthropogenic drying in central-southern Chile evidenced by long-term observations and climate model simulations
Open accessAbstract
The socio-ecological sensitivity to water deficits makes Chile highly vulnerable to global change. New evidence of a multi-decadal drying trend and the impacts of a persistent drought that since 2010 has affected several regions of the country, reinforce the need for clear diagnoses of the hydro-climate changes in Chile. Based on the analysis of long-term records (50+ years) of precipitation and streamflow, we confirm a tendency toward a dryer condition in central-southern Chile (30–48°S). We describe the geographical and seasonal character of this trend, as well as the associated large-scale circulation patterns. When a large ensemble of climate model simulations is contrasted to observations, anthropogenic forcing appears as the leading factor of precipitation change. In addition to a drying trend driven by greenhouse gas forcing in all seasons, our results indicate that the Antarctic stratospheric ozone depletion has played a major role in the summer rainfall decline. Although average model results agree well with the drying trend’s seasonal character, the observed change magnitude is two to three times larger than that simulated, indicating a potential underestimation of future projections for this region. Under present-day carbon emission rates, the drying pathway in Chile will likely prevail during the next decades, although the summer signal should weaken as a result of the gradual ozone layer recovery. The trends and scenarios shown here pose substantial stress on Chilean society and its institutions, and call for urgent action regarding adaptation measures.
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Cites
An Overview of CMIP5 and the Experiment Design
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00094.1 · Cited by 14,052
A Pacific Interdecadal Climate Oscillation with Impacts on Salmon Production
Mantua, N. J., Hare, S. R., Zhang, Y., Wallace, J. M., & Francis, R. C. (1997) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1997)078<1069:apicow>2.0.co;2 · Cited by 7,099
Four billion people facing severe water scarcity
Mekonnen, M. M., & Hoekstra, A. Y. (2016) · Science Advances · doi:10.1126/sciadv.1500323 · Cited by 5,531
Robust Responses of the Hydrological Cycle to Global Warming
Held, I. M., & Soden, B. J. (2006) · Journal of Climate · doi:10.1175/jcli3990.1 · Cited by 4,959
The Twentieth Century Reanalysis Project
Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Matsui, N., Allan, R. J., Yin, X., Gleason, B. E., Vose, R. S., Rutledge, G., Bessemoulin, P., et al. (2011) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.776 · Cited by 3,518
Constraints on future changes in climate and the hydrologic cycle
Allen, M. R., & Ingram, W. J. (2002) · Nature · doi:10.1038/nature01092 · Cited by 3,009
Global pattern of trends in streamflow and water availability in a changing climate
Milly, P. C. D., Dunne, K. A., & Vecchia, A. V. (2005) · Nature · doi:10.1038/nature04312 · Cited by 2,283
Increasing frequency of extreme El Niño events due to greenhouse warming.
Cai, W., Borlace, S., Lengaigne, M., van Rensch, P., Collins, M., Vecchi, G., Timmermann, A., Santoso, A., McPhaden, M. J., Wu, L., et al. (2014) · Nature Climate Change · doi:10.1038/nclimate2100 · Cited by 2,198
Multimodel assessment of water scarcity under climate change
Schewe, J., Heinke, J., Gerten, D., Haddeland, I., Arnell, N. W., Clark, D. B., Dankers, R., Eisner, S., Fekete, B. M., Colón-González, F. J., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222460110 · Cited by 1,833
More extreme precipitation in the world’s dry and wet regions
Donat, M. G., Lowry, A. L., Alexander, L. V., O’Gorman, P. A., & Maher, N. (2016) · Nature Climate Change · doi:10.1038/nclimate2941 · Cited by 1,792
Cited by
Observed and Projected Hydroclimate Changes in the Andes
Pabón-Caicedo, J. D., Arias, P. A., Carril, A. F., Espinoza, J. C., Borrel, L. F., Goubanova, K., Lavado-Casimiro, W., Masiokas, M., Solman, S., & Villalba, R. (2020) · Frontiers in Earth Science · doi:10.3389/feart.2020.00061 · Cited by 158
Damiani, A., Cordero, R. R., Llanillo, P. J., Feron, S., Boisier, J. P., Garreaud, R., Rondanelli, R., Irie, H., & Watanabe, S. (2020) · Atmosphere · doi:10.3390/atmos11060579 · Cited by 38
Self-citationBanwell, N., Gesche, A. S., Vilches, O. R., & Hostettler, S. (2020) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2020.101703 · Cited by 24
Metadata
- Authors
- Boisier, J. P., Alvarez-Garreton, C., Cordero, R. R., Damiani, A., Gallardo, L., Garreaud, R. D., Lambert, F., Ramallo, C., Rojas, M., & Rondanelli, R.
- Venue
- Elementa: Science of the Anthropocene
- Publisher
- University of California Press
- Published
- 2018-01-01
- Volume
- 6
- ISSN
- 2325-1026 (ISSN-L)
- OpenAlex
- W2903890181
- Cited by
- 253
- References
- 60
- FWCI
- 12.23
- Type
- journal article
- Language
- en
- Open access
- gold
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- Boisier, J. P., Alvarez-Garreton, C., Cordero, R. R., Damiani, A., Gallardo, L., Garreaud, R. D., Lambert, F., Ramallo, C., Rojas, M., & Rondanelli, R. (2018). Anthropogenic drying in central-southern Chile evidenced by long-term observations and climate model simulations. Elementa: Science of the Anthropocene. https://doi.org/10.1525/elementa.328
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