Seasonal-To-Interannual Variability of Sea-Surface Temperatures in The Inter-Americas Seas: Pattern-Dependent Biases in The Regional Ocean Modeling System

PDF
HTML
XML

Keywords

Inter-Americas Seas
Regional Ocean Modeling System (ROMS)
pattern-based model evaluation

How to Cite

Caicedo Laurido, A. L., Muñoz Solórsano, Ángel G., Chourio, X., Tobar Mosquera, C. A., & Latandret, S. (2021). Seasonal-To-Interannual Variability of Sea-Surface Temperatures in The Inter-Americas Seas: Pattern-Dependent Biases in The Regional Ocean Modeling System. ACI Avances En Ciencias E Ingenierías, 13(2), 20. https://doi.org/10.18272/aci.v13i2.2046

Downloads

Download data is not yet available.
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright (c) 2021 Ana Lucia Caicedo Laurido, Ángel G. Muñoz Solórsano, Xandre Chourio, Cristian Andrés Tobar Mosquera, Sadid Latandret

Abstract

The Inter-Americas Seas (IAS), involving the Gulf of Mexico, the Caribbean and a section of the eastern tropical Pacific Ocean bordering Central America, Colombia and Ecuador, exhibits very active ocean-land-atmosphere interactions that impact socio­economic activities within and beyond the region, and that are still not well understood or represented in state-of-the-art models. On seasonal-to-interannual timescales, the main source of variability of this geographical area is related to interactions between the Pacific and the Atlantic oceans, involving anomalous sea-surface temperature (SST) patterns like El Nino-Southern Oscillation (ENSO), and regional features in the Caribbean linked to the bi-modal seasonality of the Caribbean Low-Level Jet. This study investigates seasonal-to-interannual IAS surface-temperature anomalies in observations, and their representation in an eddy-permitting, 1/9° or 0.11°; approximately 10 km) resolution simulation using the Regional Ocean Modeling System (ROMS), interannually-forced by the Climate Forecast System Reanalysis for the study period 1999-2008. Here, rather than analyzing model biases locally (i.e., gridbox-by-gridbox), a non-local SST pattern­based diagnostic was conducted via a principal component analysis. Regarding spatial resolution, the results of this study suggest that even at eddy-permitting resolutions of 0.11o several biases remain, which contrast with the general consensus in the literature. The approach permitted the identification of magnitude, variance and spatial systematic errors in SST patterns related to the Western Hemisphere Warm Pool, ENSO, the Inter-Americas Seas Dipole, and several other variability modes. These biases are mainly related to errors in surface heat fluxes, misrepresentation of air-sea interactions impacting surface latent cooling in the Caribbean, and too strong sub-surface thermal stratification, mostly off the coast of Ecuador and northern Peru.

PDF
HTML
XML

References

Misra, V. (2020) Regionalizing Global Climate Variations: A Study of the Southeastern US Regional Climate. Elsevier Science. https://doi.org/10.1016/6-0-04147-7

Misra, V., & Chan, S. (2009) Seasonal predictability of the Atlantic Warm Pool in the NCEP CFS. Geophysics Research Letter 36: L16708. https://doi.org/10.1029/2009GL039762

Kozar, M., & Misra, V. (2013) Evaluation of twentieth-century Atlantic Warm Pool simulations in historical CMIP5 runs. Climate Dynamics 41:2375-2391. https://doi.org/10.1007/s00382-012-1604-9

Liu, Y., Lee, S.K., Muhling, B.A., Lamkin, J.T., & Enfield, D.B. (2012) Significant reduction of the Loop Current in the 21st century and its impact on the Gulf of Mexico. Journal of Geophysical Research 117C05039. https://doi.org/10.1029/2011JC007555

Ryu, J.H., & Hayhoe, K. (2014). Understanding the sources of Caribbean precipitation biases in CMIP3 and CMIP5 simulations. Clim Dyn 42, 3233-3252. https://doi.org/10.1007/s00382-013-1801-1

Krishnamurthy, L., Muñoz, A., Vecchi, G., Msadek, R., Wittenberg, B., & Gudgel, F. (2018) Assessment of summer rainfall forecast skill in the Intra-Americas in GFDL high and low-resolution models. Climate Dynamics 52:1965-1982. https://doi.org/10.1007/s00382-018-4234-z

IASCLIP (2005). A prospectus for an Intra-Americas Study of Climate Processes (IASCLIP). Report prepared by the VAMOS panel. https://doi.org/10.1029/2002JD002089

Wooster, W.S. (1959) Oceanographic Observations in the Panamá Bight, ''ASKOY" expedition, 1941. New York: Bulletin of the American Museum of Natural History. Volume 118:117-151.

Forsbergh, E. (1969) Sobre la Climatología, Oceanografía y Pesquerías del Panamá Bight, IATTC, 14 (2).

Caicedo, A. L., Muñoz, C. C., Iriarte, J. D., Gutiérrez, M. A., Rojas, E. J., & Quintero, K. D. (2020). Capitulo III - Aproximación a la variabilidad estacional e interanual de las condiciones oceanográficas en la Cuenca Pacífica Colombiana. En Compilación Oceanográfica de la Cuenca Pacífica Colombiana II. (Pp. 100-133). Dirección General Marítima. Bogotá, D. C. Editorial Dimar.

Andrade, C., Rangel, O., Herrera, E. (2015). Atlas de los Datos Oceanográficos de Colombia 1922-2013 Temperatura, Salinidad, Densidad, Velocidad. Dirección General Marítima-Ecopetrol S.A. Ed. Dimar. Bogotá, Colombia. https://doi.org/10.26640/9789585897809.2015

Melsom, A., Lien, V., & Budgell., W. (2009) Using the Regional Ocean Modeling System (ROMS) to improve the ocean circulation from a GCM 20th century simulation. Ocean Dynamics. https://doi.org/10.1007/s10236-009-0222-5

Penven, P., Echevin, V., Pasapera, J., Colas, F., & Tam, J. (2005) Average circulation, seasonal cycle, and mesoscale dynamics of the Peru Current System: A modeling approach. Journal Geophysical Research. https://doi.org/10.1029/2005JC002945

Penven, P., Cambon, G., & Tan, T. (2010) ROMS AGRIF / ROMSTOOLS. User Guide. Institut de Recherche pour le Developpement (IRD)

Muñoz, A.G., López, P., Velásquez, R., Monterrey, L., León, G., Ruiz, F., Recalde, C., Cadena, J., Mejía, R., Paredes, M., Bazo, J., Reyes, C., Carrasco, G., Castellón, Y., Villarroel, C., Quintana, J., & Urdaneta, A. (2010b). An Environmental Watch System for the Andean Countries: El Observatorio Andino. Bulletin of the American Meteorological Society 91(12): 1645-1652. https://doi.org/10.1175/2010BAMS2958.1

Park, J., Kug, J., Li, T., & Behera, S.K. (2018). Predicting El Niño Beyond 1-year Lead: Effect of the Western Hemisphere Warm Pool. Scientific Reports. https://doi.org/10.1038/s41598-018-33191-7

Muñoz, E., Wang, C., & Enfield, D. (2010). The Intra-Americas Springtime Sea Surface Temperature Anomaly Dipole as Fingerprint of Remote Influences. Journal of Climate. https://doi.org/10.1175/2009JCLI3006.1

Wang C, Enfiel, DB (2001) The Tropical Western Hemisphere Warm Pool. Geophysical Research Letters. https://doi:10.1029/2000GL011763

Wang, C., Fiedler, P. (2006). ENSO variability in the eastern tropical Pacific: A review. Progress in Oceanography 69:239­266. https://doi.org/10.1016/j.pocean.2006.03.004

Da Silva, A.M., Young, C., & Levitus, S. (1994) Atlas of Surface Marine Data 1994, vol. 1, Algorithms and Procedures. NOAA Atlas NESDIS 6, US Department of Commerce, NOAA, NESDIS, USA, 74pp

Magaña, V., Amador, J.A., & Medina, S. (1999). The midsummer drought over Mexico and Central America. Journal Climate 12:1577-1588. https://doi.org/10.1175/1520-0442(1999)012<1577:TMDOMA>2.0.CO;2

Srinivasan, J., & Smith, G. (1996). Meridional migration of tropical convergence zones. Journal of Applied Meteorology 35:1189-1202. https://doi.org/10.1175/1520-0450(1996)035<1189:MMOTCZ>2.0.CO;2

Amador, J.A., Alfaro, E.J., Lizano, O.G., & Magaña, V.O. (2006). Atmospheric forcing of the eastern tropical Pacific: A review. Progress in Oceanography 69: 101-142. https://doi.org/10.1016/j.pocean.2006.03.007

Amador, J.A. (2008). The Intra-Americas sea low level jet: overview and future research. Ann N Y Acad Sci 1146:153-88. https://doi.org/10.1196/annals.1446.012

Wang, C. (2007). Variability of the Caribbean Low-Level Jet and its relations to climate. Climate Dynamics 29:411-422. https://doi.org/10.1007%2Fs00382-007-0243-z

Chelton, D.B., Freilich, M.H., & Esbensen, S.K. (2000). Satellite observations of the wind jets off the Pacific coast of Central America. Part I: Case studies and statistical characteristics. Monthly Weather Review. https://doi.org/10.1175/1520-0493(2000)128<1993:SOOTWJ>2.0.CO;2

Chelton, D.B., Esbensen, S.K., Schlax, M.G., Thum, N., & Freilich, M.H., Wentzb, F.J., Gentemannb, C.L., McPhaden, M.J., & Schopf, P.S. (2001). Observations of Coupling between Surface Wind Stress and Sea Surface Temperature in the Eastern Tropical Pacific. Journal of Climate 14(7):1479-1498. https://doi.org/10.1175/1520-0442(2001)014<1479:OOCBSW>2.0.CO;2.

Lizano, O.G. (2016). Distribución espacio-temporal de la temperatura, salinidad y oxígeno disuelto alrededor del Domo Térmico de Costa Rica. Revista de Biología Tropical. https://doi.org/10.15517/rbt.v64i1.23422

Carton, J., Giese, B., & Grodsky, S. (2005). Sea level rise and the warming of the oceans in the Simple Ocean Data Assimilation (SODA) ocean reanalysis. Journal of Geophysical Research 110:C09006. https://doi.org/10.1029/2004JC002817

Saha, S., Shrinivas, M., Pan, H., Wu, X., Wang, J., Nadiga, S., Tripp, P., Kistler, R., Woollen, J., Behringer, D., Liu, H., Stokes, D., Grumbine, R., Gayno, G., Wang, J., Hou, Y., Chuang, H.,Juang, H., Sela, J., Iredell, M., Treadon, R., Kleist, D., Delst, P., Keyser, D., Derber, J., Michael, E., Meng, J., Wei, H., Yang, R., Lord, S., Dool, H., Kumar, A., Wang, W., Long, C., Chelliah, M., Xue, Y., Huang, B., Schemm, J., Ebisuzaki, W., Lin, R, Xie, P., Chen, M., Zhou, S., Higgins, W., Zou, C., Liu, Q., Chen, Y., Han, Y., Cucurull, L., Reynolds, R.W., Rutledge, G., & Goldberg, M. (2010). The NCEP Climate Forecast System Reanalysis. Bulletin of the American Meteorological Society 91(8):1015-1057. https://doi.org/10.1175/2010BAMS3001.1

Huang, B., Thorne, P.W., Banzon, V.F., Boyer, T., Chepurin, G., Lawrimore, J.H., Menne, M.J., Smith, T.M., Vose, R.S., & Zhang, H.M. (2017). Extended Reconstructed Sea Surface Temperature version 5 (ERSSTv5), Upgrades, validations, and intercomparisons. J. Climate, doi: https://doi.org/10.1175/JCLI-D-16-0836.1

Shchepetkin, A.F., & McWilliams, J.C. (2005). The regional oceanic modeling system (ROMS): A split-explicit, free- surface, topography-following-coordinate oceanic model. Ocean Modelling 9:347-404. https://doi.org/10.1016/j.ocemod.2004.08.002

Smith, W., & Sandwell, D. (1997). Global seafloor topography from satellite altimetry and ship depth soundings. Science 277:1956-1962. https://doi.org/10.1126/science.277.5334.1956

Haney, R. (1991). On the pressure force over steep topography in sigma coordinate ocean models. Journal of Physical Oceanography 21: 610-619. https://doi.org/10.1175/1520-0485(1991)021<0610:OTPGFO>2.0.CO;2

Beckmann, A., & Haidvogel, D.B. (1993). Numerical simulation of flow around a tall isolated seamount, Part I, Problem formulation and model accuracy. Journal of Physical Oceanography 23:1736-1753. https://doi.org/10.1175/1520-0485(1993)023<1736:NSOFAA>2.0.CO;2

Marchesiello, P., McWilliams, J.C., & Shchepetkin, A. (2003). Equilibrium Structure and Dynamics of the California Current System. Journal Physical Oceanography. https://doi.org/10.1175/1520-0485(2003)33<753:ESADOT>2.0.CO;2

Mason, S., Tippet, M., Song, L., & Muñoz, A.G. (2020). Climate Predictability Tool version 16.5.2. Columbia University Academic Commons. https://doi.org/10.7916/d8-z7qf-4z45.

Rodriguez, G., Romero, R., Castro, C., & Castro, V. (2019). Coupled Interannual Variability of Wind and Sea Surface Temperature in the Caribbean Sea and the Gulf of Mexico. Journal of Climate 32:4263-4279. https://doi.org/10.1175/JCLI-D-18-0573.1.

Legeckis, R. (1988). Upwelling off the Gulfs of Panama and Papagayo in the tropical Pacific during March 1985. Journal of Geophysical Research. https://doi.org/10.1029/jc093ic12p15485

Zárate, E. (2013). Climatología de masas invernales de aire frío que alcanzan Centroamérica y el Caribe y su relación con algunos índices Árticos. Tópicos Meteorológicos y Oceanográficos 12:35-55.

Kessler, W. (2006). The circulation of the eastern tropical Pacific: A review, Prog. Oceanogr., 69, 181-217, doi: https://doi.org/10.1016/j.pocean.2006.03.009

Echevin, V., Colas, F., Chaigneau, A., & Penven, P. (2011). Sensitivity of the Northern Humboldt Current System nearshore modeled circulation to initial and boundary conditions, Journal of Geophysical Research: Oceans. Blackwell Publishing Ltd, 116(7), p. C07002. doi: https://doi.org/10.1029/2010JC006684

Martínez, C., Goddard, L., Kushnir, Y., & Ting, M. (2019). Seasonal climatology and dynamical mechanisms of rainfall in the Caribbean 53: 825-846. Climate Dynamics. https://doi.org/10.1007/s00382-019-04616-4.

Misra, V., Li, H., Kozar, M. (2014). The precursors in the Intra Americas seas to seasonal climate variations over North America. Journal Geophysical Research (Oceans) 119(5): 2938-2948. https://doi.org/10.1002/2014JC009911

Cruz, D.C. (2018). Estructura Dinámica y Termodinámica del Calentamiento Atmosférico en la Climatología de Colombia. Disertación. Universidad Nacional de Colombia.

L’Heureux, M.L., Collins, D.C., & Hu, Z.Z. (2013). Linear trends in sea surface temperature of the tropical Pacific Ocean and implications for the El Niño-Southern Oscillation. Climate Dynamics 40:1223-1236. https://doi.org/10.1007/s00382-012-1331-2.

Hoerling, M.P., & Kumar, A. (2003) The perfect ocean for drought. Science 299: 691-694. https://doi.org/10.1126/science.1079053

Rodgers, K.B., Friederichs, P., & Latif, M. (2004). Tropical Pacific decadal variability and its relation to decadal modulation of ENSO. Journal Climate 17:3761-3774. https://doi.org/10.1175/1520-0442(2004)017<3761:TPDVAI>2.0.CO;2

Zhang, W., Li, J., Zhao, X. (2010). Sea surface temperature cooling mode in the Pacific cold tongue. Journal of Geophysical Research 115:C12042. https://doi.org/10.1029/2010JC.

Serna, L., Arias, P., & Vieira, S. (2018). The Choco and Caribbean low-level jets during El Niño and El Modoki events. Revista de la Academia Colombiana de Ciencias Exactas, Físicas y Naturales. http://dx.doi.org/10.18257/raccefyn.705

Deser, C., Alexander, M., Xie, S., & Phillips, A. (2010). Sea Surface Temperature Variability: Patterns and Mechanisms 2:115-145. Annual Review of Marine Science. https://doi.org/10.1146/annurev-marine-120408-151453

Muñoz, A.G., Yang, X., Vecchi, G., Robertson, A., & Cooke, W. (2017). A Weather-type based Cross-Timescale Diagnostic Framework for Coupled Circulation Models. Journal of Climate 30:8951-8972. https://doi.org/10.1175/JCLI-D-17-0115.1

Tippett, M., DelSole, T., Mason, S., & Barnston, A. (2008). Regression-based methods for finding coupled patterns. Journal of Climate 21(17):4384-4398. https://doi.org/10.1175/2008JCLI2150.1

Wilks, D. S., (2006). Statistical Methods in the Atmospheric Sciences. 2nd ed. Elsevier, 627 pp.

Misra, V., & Mishra, A. (2016). The oceanic influence on the rainy season of Peninsular Florida. Journal Geophysical Research:Atmosphere 121:7691-7709. https://doi.org/10.1002/2016JD024824

Chérubin, L.M., Sturges, W., & Chassignet, E.P. (2005). Deep flow variability in the vicinity of the Yucatan Straits from a high-resolution MICOM simulation. Journal Geophysical Research. https://doi.org/10.1029/2004JC002280