A Feasibility Study of Three-Dimensional Empirical Orthogonal Functions From the NASA JPL Ocean General Circulation Model: Computing, Visualization and Interpretation
References
- Acar, E and Yener, B. 2009. “Unsupervised Multiway Data Analysis: A Literature Survey.” IEEE Transactions on Knowledge and Data Engineering, 21(1): 6–20. DOI: 10.1109/TKDE.2008.112
- American Meteorological Society. 2012. “Equatorial Upwelling. Glossary of Meteorology.”
https://glossary.ametsoc.org/wiki/Equatorial_upwelling#:~:text=The%20rising%20of%20water%20along,either%20side%20of%20the%20equator . Accessed 1 May 2022. - Gittens, A, Devarakonda, A, Racah, E, Ringenburg, M, Gerhardt, L, Kottalam, J, Liu, J, Maschhoff, K, Canon, S, Chhugani, J, et al. 2016. “Matrix factorizations at scale: A comparison of scientific data analytics in Spark and C+ MPI using three case studies.” In 2016 IEEE International Conference on Big Data (Big Data), 204–213.
IEEE . DOI: 10.1109/BigData.2016.7840606 - Haidvogel, DB, Arango, HG, Hedstrom, K, Beckmann, A, Malanotte-Rizzoli, P and Shchepetkin, AF. 2000. “Model evaluation experiments in the North Atlantic Basin: simulations in nonlinear terrainfollowing coordinates.” Dynamics of Atmospheres and Oceans, 32(3): 239–281. DOI: 10.1016/S0377-0265(00)00049-X
- Houser, C, Smith, A, Wernette, P and Lehner, J. 2020.
“Spatial Frequency Analysis and Information Synthesis for Understanding Coastal Barriers.” In Reference Module in Earth Systems and Environmental Sciences. Elsevier. DOI: 10.1016/B978-0-12-818234-5.00023-7 - Huang, RX and Jin, X. 2002. “Sea Surface Elevation and Bottom Pressure Anomalies due to Thermohaline Forcing. Part I: Isolated Perturbations.” Journal of Physical Oceanography – J PHYS OCEANOGR, 32. DOI: 10.1175/1520-0485(2002)032<;2131:SSEABP>2.0.CO;2
- Hurrell, JW. 1995. “Decadal trends in the North Atlantic Oscillation: Regional temperatures and precipitation.” Science, 269(5224): 676–679. DOI: 10.1126/science.269.5224.676
- Khatiwala, SP, Primeau, FW and Holzer, M. 2012. “Ventilation of the deep ocean constrained with tracer observations and implications for radiocarbon estimates of ideal mean age.” Earth and Planetary Science Letters, 325–326, 116–125. DOI: 10.1016/j.epsl.2012.01.038
- Koelling, J, Atamanchu, D, Karstensen, J, Handmann, P and Wallace, DWR. 2022. “Oxygen export to the deep ocean following Labrador Sea Water formation.” Biogeosciences, 19(2): 437–454. DOI: 10.5194/bg-19-437-2022
- Liang, S, Li, X and Wang, J. 2012.
“High-level Land Product Integration Methods.” In Advanced Remote Sensing, 667–690. Boston: Academic Press. DOI: 10.1016/B978-0-12-385954-9.00022-8 - Marshall, J and Schott, F. 1999. “Open-ocean convection: Observations, theory, and models.” Reviews of Geophysics, 37(1): 1–64.
https://arxiv.org/abs/https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/98RG02739 . DOI: 10.1029/98RG02739 - Meyers, SD, O’Brien, JJ and Thelin, E. 1999. “Reconstruction of Monthly SST in the Tropical Pacific Ocean during 18681993 Using Adaptive Climate Basis Functions.” Monthly Weather Review, 127(7): 1599–1612. DOI: 10.1175/1520-0493(1999)127<;1599:ROMSIT>2.0.CO;2
- Moon, J-H, Song, YT, Bromirski, PD and Miller, AJ. 2013. “Multidecadal regional sea level shifts in the Pacific over 19582008.” Journal of Geophysical Research: Oceans, 118(12): 7024–7035.
https://arxiv.org/abs/https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2013JC009297 . DOI: 10.1002/2013JC009297 - Mu, D, Yan, H and Feng, W. 2018. “Assessment of Sea Level Variability Derived by EOF Reconstruction.” Geophysical Journal International, 214(1): 79–87.
https://arxiv.org/abs/https://academic.oup.com/gji/article-pdf/214/1/79/27718510/ggy126.pdf . DOI: 10.1093/gji/ggy126 - National Center for Atmospheric Research Staff. (eds.) 2013. “The Climate Data Guide: Empirical Orthogonal Function(EOF) Analysis and Rotated EOF Analysis.” Accessed Jan 20, 2022.
https://climatedataguide.ucar.edu/climate-data-tools-and-analysis/empirical-orthogonal-function-eof-analysis-and-rotated-eof-analysis . - Naveira Garabato, AC, MacGilchrist, GA, Brown, PJ, Evans, DG, Meijers, AJS and Zika, JD. 2017. “High-latitude ocean ventilation and its role in Earth’s climate transitions.” Philos. Trans. A Math. Phys. Eng. Sci., 375(2102):
20160324 . DOI: 10.1098/rsta.2016.0324 - NOAA CPC. 2001. “Cold and Warm Episodes by Season. NOAA/National Weather Service.” Accessed May 15, 2022.
https://origin.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ONI_v5.php . - NOAA CPC. 2005. “El Nio/Southern Oscillation (ENSO). NOAA/National Weather Service.” Accessed May 15, 2022.
https://www.cpc.ncep.noaa.gov/products/precip/CWlink/MJO/enso.shtml . - North, GR, Bell, TL, Cahalan, RF and Moeng, FJ. 1982. “Sampling errors in the estimation of empirical orthogonal functions.” Monthly weather review, 110(7): 699–706. DOI: 10.1175/1520-0493(1982)110<;0699:SEITEO>2.0.CO;2
- Roemmich, D and Gilson, J. 2011. “The global ocean imprint of ENSO.” Geophysical Research Letters, 38(13). DOI: 10.1029/2011GL047992
- Sabatier, R and Traissac, P. 1994. “The ACT (STATIS method).” Comput. Statist. Data Anal, 18: 97–119. DOI: 10.1016/0167-9473(94)90134-1
- Shchepetkin, AF and McWilliams, JC. 2003. “A method for computing horizontal pressure-gradient force in an oceanic model with a nonaligned vertical coordinate.” Journal of Geo-physical Research: Oceans, 108(C3).
https://arxiv.org/abs/https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2001JC001047 . DOI: 10.1029/2001JC001047 - Shen, SSP, Behm, GP, Song, YT and Qu, T. 2017. “A Dynamically Consistent Reconstruction of Ocean Temperature.” Journal of Atmospheric and Oceanic Technology, 34(5): 1061–1082. DOI: 10.1175/JTECH-D-16-0133.1
- Shen, SSP and Somerville, R. 2019.
“Climate Mathematics: Theory and Applications.” Cambridge University Press. DOI: 10.1017/9781108693882 - Song, T, Gross, R, Wang, X and Zlotnicki, V. 2010. “A Non-Boussinesq Terrain-Following OGCM for Oceanographic and Geodetic Applications.” Advances in Geosciences, Volume 18: Ocean Science (OS), 18. DOI: 10.1142/9789812838148
- Song, Y and Haidvogel, D. 1994. “A Semi-implicit Ocean Circulation Model Using a Generalized Topography-Following Coordinate System.” Journal of Computational Physics, 115(1): 228–244. DOI: 10.1006/jcph.1994.1189
- Song, YT and Colberg, F. 2011. “Deep ocean warming assessed from altimeters, Gravity Recovery and Climate Experiment, in situ measurements, and a non-Boussinesq ocean general circulation model.” Journal of Geophysical Research: Oceans, 116(C2).
https://arxiv.org/abs/https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2010JC006601 . DOI: 10.1029/2010JC006601 - Song, YT and Hou, TY. 2006. “Parametric vertical coordinate formulation for multiscale, Boussinesq, and non-Boussinesq ocean modeling.” Ocean Modelling 11(3): 298–332. DOI: 10.1016/j.ocemod.2005.01.001
- Stanimirova, I, Walczak, B, Massart, DL, Simeonov, V, Saby, CA and Crescenzo, ED. 2004. “STATIS, a three-way method for data analysis. Application to environmental data.” Chemometrics and intelligent laboratory systems, 73(2): 219–233. DOI: 10.1016/j.chemolab.2004.03.005
- Vallejo-Arboleda, A, Vicente-Villardón, JL and Galindo-Villardón, MP. 2007. “Canonical STATIS: Biplot analysis of multi-table group structured data based on STATIS-ACT methodology.” Computational statistics & data analysis, 51(9): 4193–4205. DOI: 10.1016/j.csda.2006.04.032
- Wang, L-C, Dao, TL and Yu, J-Y. 2022. “Continued weakening of the equatorial Pacific upwelling annual cycle in CMIP5 future projections.” Scientific Reports, 12(1):
15595 . DOI: 10.1038/s41598-022-19874-2 - Weisberg, RH and Qiao, L. 2000. “Equatorial Upwelling in the Central Pacific Estimated from Moored Velocity Profilers.” Journal of Physical Oceanography, 30(1): 105–124. DOI: 10.1175/1520-0485(2000)030<;0105:EUITCP>2.0.CO;2
- Wyrtki, K and Eldyn, G. 1982. “Equatorial Upwelling Events in the Central Pacific.” Journal of Physical Oceanography, 12(9): 984–988. DOI: 10.1175/1520-0485(1982)012<;0984:EUEITC>2.0.CO;2
- Yashayaev, I and Loder, JW. 2017. “Further intensification of deep convection in the Labrador Sea in 2016.” Geophysical Research Letters, 44(3): 1429–1438.
https://arxiv.org/abs/https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2016GL071668 . DOI: 10.1002/2016GL071668 - Zhang, Z and Moore, JC. 2015.
“Empirical Orthogonal Functions.” In Mathematical and Physical Fundamentals of Climate Change, 161–197. Boston: Elsevier. DOI: 10.1016/B978-0-12-800066-3.00006-1
DOI: https://doi.org/10.16993/tellusa.3223 | Journal eISSN: 3035-9554
Language: English
Page range: 213 - 230
Submitted on: Nov 21, 2022
Accepted on: May 26, 2023
Published on: Jun 29, 2023
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2023 Danielle Lafarga, Thomas Bui, Y. Tony Song, Thomas M. Smith, Samuel S. P. Shen, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.