Aumento del nivel del mar Caribe este en el contexto global
DOI:
https://doi.org/10.15359/rca.60-1.6Palabras clave:
contexto global, elevación del nivel del mar, variabilidad interanual en el Caribe esteResumen
[Introducción]: El aumento del nivel del mar en el Caribe oriental se ha acelerado a 0.6 cm/año debido a los efectos globales de la acumulación de gases de efecto invernadero sobre la expansión térmica del agua de mar y el derretimiento de la nieve y el hielo terrestre. [Objetivo]: Este estudio cuantifica los procesos que impulsan el aumento del nivel del mar, incluyendo los cambios en el paisaje y la hidrología. Las mediciones del nivel del mar se contextualizan para facilitar orientaciones regionales. [Metodología]: La investigación utiliza técnicas avanzadas de asimilación de datos y modelado para analizar estadísticamente las tendencias en el tiempo y el espacio, tomando como referencia el nivel del mar en el Caribe oriental. [Resultados]: El análisis sugiere que para 2050 el nivel del mar estará 40 cm por encima del nivel de referencia de 1980, en concordancia con las proyecciones de modelos bajo el escenario de 8.5 W/m². La variabilidad interanual del nivel del mar y las tendencias parabólicas, impulsadas por el calentamiento del océano tropical y la reducción de la cobertura de nieve, son notorias. Un aumento en la expansión térmica y el escurrimiento superficial desde 2010 es evidente en los gráficos de profundidad-tiempo de las anomalías globales de temperatura y salinidad del mar. [Conclusiones]: Dado que es probable que ocurra erosión costera, se presentan medidas de adaptación locales que podrían aplicarse en otras regiones.
Referencias
Amrouni, O., Heggy, E., Hzami, A. (2024). Shoreline retreat and beach nourishment are projected to increase in southern California, Nature Comm. Earth Environ., 5, 274, https://doi.org/10.1038/s43247-024-01388-6
Andrews, M. B., Ridley, J. K.,Wood, R. A., et al. (2020). Historical simulations with Hadley3-GEM for CMIP6, J. Adv. Mod. Earth Sys.,12, e2019MS001995, https://doi.org/10.1029/2019MS001995
Brown, S., Nicholls, R. J., Woodroffe, C. D., et al. (2013). Sea-level rise impacts and responses: a global perspective, Coastal Hazards, 1000, Springer, 117-149, https://doi.org/10.1007/978-94-007-5234-4
Cha, H., Moon, J-H., Kim, T, Song, Y. T. (2021). Underlying drivers of decade-long fluctuation in the global mean sea-level rise. Environ. Res. Lett., 16, 124064, https://doi.org/10.1088/1748-9326/ac3d58
Barrantes-Castillo, G. and Sandoval-Murillo, F. L. (2021). Changes in the shoreline on South Caribbean of Costa Rica during the period 2005-2016, Rev. Cienc. Amb. (Trop. J. Environ. Sci.), 55, 111-140, https://doi.org/10.15359/rca.55-2.6
Copernicus Marine. (2023). Global ocean gridded sea surface height L4 product, European Union data store, https://doi.org/10.48670/moi-00280
CRFG. (2019). Coastal Resiliency Funding Guide: a tool for municipalities to recover from the impacts of hurricanes Irma and Maria, www.drna.pr.gov/wp-content/uploads/2019/02/Puerto-Rico-Coastal-Resiliency
Daves, B. (2024). Sea level equivalent calculation, www.antarcticglaciers.org/glaciers-and-climate/estimating-glacier-contribution-to-sea-level-rise/
DRNA. (2022). The Puerto Rico program and coastal zone management act, appendix www.drna.pr.gov/wp-content/uploads/2022/06/PRCZMP2009-Appendix-B
England, M. H., McGregor, S., Spence, P., et al. (2014). Recent intensification of wind-driven circulation in the Pacific and the ongoing warming hiatus, Nature Clim. Change, 4, 222-227, https://doi.org/10.1038/nclimate2106
Eyring, V., Sandrine, B., Meehl, G., et al. (2015). Overview of the CMIP6 experimental design and organization, Geosci. Mod. Devl. Disc., 8, 10539-10583, https://doi.org/10.5194/gmd-9-1937-2016
Farinotti, D., Huss, M., Furst, J. J. et al. (2019). A consensus estimate for the ice thickness distribution of all glaciers on Earth, Nature Geosci., 12, 168-173, https://doi.org/10.1038/s41561-019-0300-3
Feng, Y., Zeng, Z., Searchinger, T. D., et al. (2022). Doubling of annual forest carbon loss over the tropics during the early twenty-first century. Nature Sustain., 5, 444-451, https://doi.org/10.1038/s41893-022-00854-3
Fox-Kemper, B., Hewitt, H. T., Xiao, C., et al. (2021). Ocean, cryosphere and sea level change. In Climate Change 2021: The Physical Science Basis, WG-1 6th Assessment of the IPCC, Masson-Delmotte, V., et al. (eds) Cambridge Univ Press, UK, 1211-1362.
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs, L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan, K., Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A., Silva, A. M. da, Gu, W., … Zhao, B. (2017). The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). Journal of Climate, 30(14), 5419–5454. https://doi.org/10.1175/JCLI-D-16-0758.1
Grise, K. M., Davis, S. M. (2020). Hadley cell expansion in CMIP6 models, Atmos. Chem. Phys., 20, 5249-5268, https://doi.org/10.5194/acp-20-5249-2020
Hamlington, B. D., Leben, R., Nerem, R., et al. (2011). Reconstructing sea level using cyclostationary empirical orthogonal functions, J. Geophys. Res., 116, C12015, https://doi.org/10.1029/2011JC007529
Hamlington, B. D., Piecuch, C. G., Reager, J. T., et al. (2020). Origin of inter-annual variability in global mean sea level, Proc. Natl Acad. Sci., 117, 13983-13990, https://doi.org/10.1073/pnas.1922190117
Hermans, T. H. J., Gregory, J. M., Palmer, M. D., et al. (2021). Projecting global mean sea-level change using CMIP6 models, Geophys. Res. Letters, 48, e2020GL092064, https://doi.org/10.1029/2020GL092064
Hu, A., Meehl, G.A., Han, W., Yin, J. (2011). Effect of the potential melting of the Greenland ice sheet on the meridional overturning circulation and global climate in the future, Deep Sea Res. II, 58, 1914-1926, doi.org/10.1016/j.dsr2.2010.10.069
IPCC (2021). AR6 sea level rise projections from WG-1 Ch.9, [editor] Fox-Kemper, B. et al., [curator] Garner, G., et. al., https://doi.org/10.5281/zenodo.5914709
Jury, M.R. (2018). Puerto Rico sea level trend in regional context, J. Ocean Coastal Manag., 163, 478-484, https://doi.org/10.1016/j.ocecoaman.2018.08.006
Karlsson, K-G., Stengel, M., Meirink, J. F., et al. (2023). CLARA-A3: the third edition of the AVHRR-based CM-SAF climate data record on clouds, radiation and surface albedo covering the period 1979 to 2023, Earth Syst. Sci. Data, 15, 4901-4926, https://doi.org/10.5194/essd-15-4901-2023
Lee, H-T., Gruber, A., Ellingson, R. G., Laszlo, I. (2007). Development of the HIRS outgoing longwave radiation climate dataset, J. Atmos. Oceanic Technol., 24, 2029-2047, https://doi.org/10.1175/2007JTECHA989.1
Levitus S., Antonov J. I., Boyer T. P., et al. (2012). World Ocean heat content and thermosteric sea level change 1955-2010, Geophys. Res. Lett., 39, L10603, https://doi.org/10.1029/2012GL051106
Liu, Z. (2012). Dynamics of inter-decadal climate variability: A historical perspective, J. Climate, 25, 1963-1995, https://doi.org/10.1175/2011JCLI3980.1
Liu, Y., Shi, Y. (2023). Estimates of global forest fire carbon emissions using FY-3 active fires product, Atmos. MDPI, 14, 1575, https://doi.org/10.3390/atmos14101575
Lucas, C., Timbal, B., Nguyen, H. (2014). The expanding tropics: a critical assessment of the observational and modeling studies, WIREs Climate Change, 5, 89-112, https://doi.org/10.1002/wcc.251
Miao, C., Wu, Y., Fan, X., Su, J. (2023). Projections of global land runoff changes and their uncertainty characteristics during the 21st century, Earth’s Future, 11, e2022EF003286, https://doi.org/10.1029/2022EF003286
Molod, A., Takacs, L., Suarez, M., Bacmeister, J. (2015). Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2, Geosci. Model Dev., 8, 1339-1356, https://doi.org/10.5194/gmd-8-1339-2015
Muller, O. V., McGuire, P. C., Vidale, P. L., Hawkins, E. (2024). River flow in the near future: a global perspective in the context of a high-emission climate change scenario, Hydrol. Earth Syst. Science, 28, 2179-2201, https://doi.org/10.5194/hess-28-2179-2024
Nikolov, N. & Zeller, K. F. (2024). Roles of earth’s albedo variations and top-of-the-atmosphere energy imbalance in recent warming: new insights from satellite and surface observations, Geomatics MDPI, 4, 311-341, doi.org/10.3390/geomatics4030017
O.E. (2023). Declaration on the effects of coastal erosion, Executive order #9, government of Puerto Rico, www.docs.pr.gov/files/Estado/OrdenesEjecutivas/2023/OE-2023-009%20English.pdf
Pascoe, C., Lawrence, B. N., Guilyardi, E., et al. (2020). Documenting numerical experiments in support of CMIP6, Geosci. Model Devel., 13, 2149-2167, https://doi.org/10.5194/gmd-13-2149-2020
Penny, S. G., Behringer, D. W., Carton, J. A., Kalnay, E. (2015). The hybrid global ocean data assimilation system at NCEP. Mon. Wea. Rev., 143, 4660-4677, https://doi.org/10.1175/MWR-D-14-00376.1
Pinzon J. E., Tucker C. J. (2014). A non-stationary 1981-2012 AVHRR NDVI3g time series. Remote Sens., 6, 6929-6960, doi.org/10.3390/rs6086929
Pistone, K., Eisenman. I., Ramanathan, V. (2014). Observational determination of albedo decrease caused by vanishing Arctic sea ice, Earth Atmos. Planet. Sciences, 111, 3322-3326, https://doi.org/10.1073/pnas.1318201111
PSMSL. (2024). Permanent Service for Mean Sea Level, tide gauge data, www.psmsl.org/data/obtaining/reference.php
Roquet, F., Ferreira, D., Caneill, R. et al. (2022). Unique thermal expansion properties of water key to the formation of sea ice on earth, Science Adv., 8, eabq0793, https://doi.org/10.1126/sciadv.abq0793
Scafetta, N. (2013) Multi-scale dynamical analysis of sea level records versus PDO, AMO and NAO indices, Climate Dyn., 43, 175-192, https://doi.org/10.48550/arXiv.1304.6148
ScientificAmerican. (2024). www.scientificamerican.com/article/warfares-climate-emissions-are -huge-but-uncounted/
Thieler, E. R., Rodriguez, R. W., Himmelstoss, E. A. (2007). Historical shoreline changes at Rincon, Puerto Rico, 1936-2006, USGS survey report, Woods Hole, 32 pp, https://doi.org/10.3133/ofr20071017
Turubanova, S. Potapov, P. V., Tyukavina, A., Hansen, M. C. (2018). Ongoing primary forest loss in Brazil, Democratic Republic of the Congo, and Indonesia, Environ. Res. Lett., 13, 074028, https://doi.org/10.1088/1748-9326/aacd1c
US.gov. (2024). www.toolkit.climate.gov/topics/coastal-flood-risk/coastal-erosion
Van der A, R., Allaart, M., Eskes, H. (2015). Extended and refined multi sensor reanalysis of total ozone for the period 1970-2012. Atmos. Meas. Tech., 8, 3021-3035, https://doi.org/10.5194/amt-8-3021-2015
Winckler, P., Martín, R.A., Esparza, C., et al. (2023). Projections of beach erosion and associated costs in Chile, Sustain. MDPI, 15, 5883, https://doi.org/10.3390/su15075883
Yale. (2023). www.yaleclimateconnections.org/2023/04/who-will-save-puerto-ricos-beaches-from-rising-seas-storms-and-developers-the-people/
Yin, J., Schlesinger, M. E., Stouffer, R. J. (2009). Model projections of rapid sea-level rise on the northeast coast of the United States, Nature Geosci., 2, 262-266, https://doi.org/10.1038/ngeo462
Zhang, L., Delworth, T. L., Yang, X. et al. (2024). Causes and multiyear predictability of the rapid acceleration of US southeast sea level rise after 2010, Nature Clim. Atmos. Sci., 7, 113, https://doi.org/10.1038/s41612-024-00670-w
Zhou, S., Yu, B., Lintner, B. R. et al. (2023). Projected increase in global runoff dominated by land surface changes, Nature Clim. Chg., 13, 442-449, https://doi.org/10.1038/s41558-023-01659-8
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