Relevant bibliographies by topics / El Nino and Southern Oscillation

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  2. Dissertations / Theses
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Academic literature on the topic 'El Nino and Southern Oscillation'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "El Nino and Southern Oscillation"

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Nicholls, Neville. "El Nino—Southern Oscillation Impact Prediction." Bulletin of the American Meteorological Society 69, no. 2 (February 1988): 173–76. http://dx.doi.org/10.1175/1520-0477(1988)069<0173:enoip>2.0.co;2.

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Muhammad, Fadhlil Rizki, Yudha Kristanto, and Imam Wahyu Amanullah. "Karakteristik Madden-Julian Oscillation (MJO) Ketika El-Nino Southern Oscillation (ENSO)." Wahana Fisika 2, no. 2 (December 28, 2017): 76. http://dx.doi.org/10.17509/wafi.v2i2.9376.

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Perkembangan peristiwa El-Nino Southern Oscillation (ENSO) menunjukkan peran penting bagi Madden-Julian Oscillation (MJO). Variasi angin permukaan (UWND) dan konveksi (OLR) intramusiman yang merupakan komponen dari variabilitas MJO sangat berinteraksi dengan komponen ENSO dalam skala waktu dan ruang. Penelitian ini menggunakan Diagram Hovmueller untuk melihat perambatan konveksi, analisis spektral untuk melihat frekuensi MJO, analisis spektral bilangan gelombang-frekuensi untuk melihat perambatan dan bilangan gelombang zonal, serta analisis spektral silang untuk melihat koherensi serta fase dari konveksi dan angin zonal dengan band-pass filter 20-100 hari. Secara keseluruhan, hasil analisis spektral menunjukkan MJO memiliki frekuensi 30-60 harian. Hasil analisis diagram Hovmueller ketika peristiwa El-Nino lemah (tahun 2004-2005) menjelaskan bahwa ada perambatan konveksi ke timur tetapi hanya terjadi pada awal tahun sangat cepat atau tidak beraturan dan kemudian hilang. Konveksi menunjukkan bilangan gelombang zonal 1 ketika bulan Mei-Okt dan bilangan zonal 1-4 ketika bulan Nov-Apr. Spektrum silang menunjukkan angin zonal mendahului konveksi 1/8 putaran yang berarti ada hubungan fisis antara UWND dan OLR dengan koherensi 0.65 di bilangan zonal 1-2. Ketika peristiwa El-Nino sangat kuat (tahun 1997-1998), diagram Hovmueller menunjukkan tidak adanya perambatan konveksi dari Samudera Hindia ke Pasifik bagian barat. Anomali dan perambatan konveksi sangat kuat pada awal tahun 1997 ketika fase normal dan melemah pada bulan Juli hingga hilang sama sekali seiring meningkatnya El-Nino. konveksi menunjukkan bulan Nov-Apr memiliki nilai spektral yang lebih kuat daripada bulan Mei-Okt. Koherensi menjukkan nilai yang tinggi pada bilangan zonal 1-2 dengan range 0.35-0.65, begitupula angin zonal juga mendahului konveksi sebesar 1/8 putaran. Perubahan signifikan pada MJO terlihat pada perambatan konveksi yang menghilang ketika semakin kuatnya El-Nino. melemahnya MJO, dan frekuensi dari MJO yang menjadi lebih tinggi. Kata Kunci : band-pass filter; Diagram Hovmueller; konveksi; spektrum silang; angin zonal The development of ENSO (El-Nino Southern Oscillation) events hows an important role for MJO (Madden Julian Oscillation). Variation of intraseasonal zonal wind and convection (OLR) are important components of MJO variability which interact with ENSO components in space-time scale. Before processing, data are filtered with Lanczos bandpass filter 20-100 days. This research using Hovmueller diagram to see the propagation of convection and zonal wind, spectral analysis to see MJO frequency, wavenumber-frequency spectra to see propagation of MJO and its zonal wavenumber, and cross-spectrum analysis to see coherence and phase lag between convection and zonal wind. Spectral analysis have shown that MJO have frequency of 30-60 days. During weak El-Nino event (1991-1992), Hovmueller diagram have discovered that there is eastward propagation of convection in the early years but occurs very quickly or irregularly and than dissipated. Convection have zonal wavenumber of 1 when May-Oct and zonal wavenumber of 1-4 when Nov-Apr. Cross-spectrum shows that zonal wind leads convection by 1/8 cycle with coherence 0.65 in zonal wavenumber 1-2. Hovmueller diagram have shown that there are no eastward propagation from Indian Ocean to Western Pacific during strong El-Nino event (1997-1998). Convection and propagation were very strong in early 1997 then weakened in July to disappear altogether as El-Nino strenghtened. Wavenumber-frequency spectra have shown that Nov-Apr convection has weaker value than May-Oct convection. Cross-spectrum shows large coherence in zonal wavenumber 1-2 with range of 0.35-0.65 and zonal wind leads convection by 1/8 cycle. Significant changes in MJO are seen in the disappearance of propagation of convection, weakening of MJO, and higher observed frecuency of MJO as El-Nino activity strengthened. Keywords : band-pass filter; Hovmueller diagram; convection; cross-spectrum; zonal wind
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Pascual, M. "Cholera Dynamics and El Nino-Southern Oscillation." Science 289, no. 5485 (September 8, 2000): 1766–69. http://dx.doi.org/10.1126/science.289.5485.1766.

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Yasunari, Tetsuzo. "Global Structure of the El Nino/Southern Oscillation." Journal of the Meteorological Society of Japan. Ser. II 65, no. 1 (1987): 67–80. http://dx.doi.org/10.2151/jmsj1965.65.1_67.

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Yasunari, Tetsuzo. "Global Structure of the El Nino/Southern Oscillation." Journal of the Meteorological Society of Japan. Ser. II 65, no. 1 (1987): 81–102. http://dx.doi.org/10.2151/jmsj1965.65.1_81.

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Muza, Olivia. "El Nino-Southern Oscillation Influences on Food Security." Journal of Sustainable Development 10, no. 5 (September 29, 2017): 268. http://dx.doi.org/10.5539/jsd.v10n5p268.

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El-Nino Southern Oscillation (ENSO) is the most recurrent change in climate impacting agriculture productivity and food security. This study investigates ENSO impacts on four cereal crops (maize, millet, sorghum and wheat) using crop production and climate datasets spanning the years 1960-2015. The results of this study reveal that during El Nino (La Nina) maize, sorghum and wheat production decreases (increases) while that of millet increases (decreases). Even though, the correlation is statistically significant for maize only, the outcome is a call to review the macro-food policy taking into account ENSO-related phase effects to redress food insecurity. The study recommends incentives for agricultural productivity including irrigation intensification and small grain value chain development, trade and food security arrangements, income generation opportunities and strategic partnerships for improved food and nutrition security.
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Latif, M., and N. S. Keenlyside. "El Nino/Southern Oscillation response to global warming." Proceedings of the National Academy of Sciences 106, no. 49 (December 5, 2008): 20578–83. http://dx.doi.org/10.1073/pnas.0710860105.

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Ahn, J. H., and H. S. Kim. "Nonlinear Modeling of El Nino/Southern Oscillation Index." Journal of Hydrologic Engineering 10, no. 1 (January 2005): 8–15. http://dx.doi.org/10.1061/(asce)1084-0699(2005)10:1(8).

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Lou, Ying Jun, Li Na Lu, and Li Jie Zhu. "The Effect of ENSO on Wheat Futures Based on EMD and GARCH Model." Applied Mechanics and Materials 40-41 (November 2010): 866–72. http://dx.doi.org/10.4028/www.scientific.net/amm.40-41.866.

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At present, most of the studies on the relationship between El Nino Southern Oscillation and agricultural futures focus on perceptual analyses and directly data analysis, and these discussions are usually limited to futures price. This article uses EMD algorithm to decompose Wheat futures prices and denoised ENSO index, and finally gets the negative relationship between El Nino Southern Oscillation and wheat Futures prices. Then, this article conducts the comparative analysis of operation performance based on El Niño Southern Oscillation, finding that this mode of operation can greatly increase yields, which further explains the practical significance of ENSO. In order to explore the impact of El Nino Southern Oscillation on wheat futures yields, use classic GARCH models, transform ENSO index into virtual variables, respectively introduce them into the mean value equation and conditional variance equation. After analysis, the conclusion shows that the impact is mainly on the volatility of return rate, which reminds traders of considering risk management first.
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Aprilia, Bunga, Marzuki Marzuki, and Imam Taufiq. "Prediksi El Nino Southern Oscillation (ENSO) Menggunakan Jaringan Saraf Tiruan (JST)-Backpropagation." Jurnal Fisika Unand 9, no. 4 (January 25, 2021): 421–27. http://dx.doi.org/10.25077/jfu.9.4.421-427.2020.

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Penelitian ini bertujuan untuk memprediksi nilai indeks ENSO yaitu Sea Surface Temperature (Nino 1.2, Nino 3, Nino 3.4 dan Nino 4), Southern Oscillation Index (SOI) dan Multivariate ENSO Index versi 2 (MEI.v2) yang diambil dari tahun 1979-2018. Prediksi dilakukan dengan menggunakan metode JST-backpropagation dengan memvariasikan learning rate dan momentum. Semua indeks menghasilkan nilai akurasi prediksi ENSO yang tinggi, namun indeks Nino 4 merupakan indeks yang memiliki akurasi tertinggi karena nilai Mean Square Error (MSE) pelatihan dan pengujiannya yang relatif lebih kecil dibandingkan dengan indeks lainnya. Indeks Nino 4 memiliki MSE pelatihan 0,0072739 yang berhenti pada epoch ke-69 dan MSE pengujian 0,0085917 dengan akurasi prediksi 99,9989%. Hasil ini diperoleh dari arsitektur JST-backpropagation 12-10-1 dengan nilai learning rate 0,10 dan momentum 0,40. Prediksi ENSO berdasarkan indeks Nino 4 untuk tahun 2021 menunjukkan keadaan iklim dunia dalam kondisi normal. This study aims to predict ENSO index using Sea Surface Temperature (Nino 1.2, Nino 3, Nino 3.4 and Nino 4 indexes), Southern Oscillation Index (SOI), and Multivariate ENSO Index version 2 (MEI.v2) during 1979 - 2018. The prediction was carried out using the ANN-backpropagation method by varying the learning rate and momentum. All indices produce high ENSO prediction accuracy values, but the Nino 4 index is the best one because the Mean Square Error (MSE) for training and testing steps are relatively smaller than other indexes. The Nino 4 index has a training MSE of 0.0072739 which stops at the 69th epoch and a testing MSE of 0.0085917 with a predictive accuracy of 99.9989%. These results were obtained from the back-propagation architecture ANN 12-10-1 with a learning rate of 0.10 and a momentum of 0.40. The prediction of ENSO in 2021 based on the Nino 4 index shows that the world climate condition is under normal conditions.
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Dissertations / Theses on the topic "El Nino and Southern Oscillation"

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Gergis, Jo??lle L. School of Biological Earth &amp Environmental Sciences UNSW. "Reconstructing El Nino-southern oscillation." Awarded by:University of New South Wales. School of Biological, Earth and Environmental Sciences, 2006. http://handle.unsw.edu.au/1959.4/24222.

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El Ni??o-Southern Oscillation (ENSO) is the most important coupled ocean-atmospheric phenomenon to cause global climate variability on interannual time scales. Efforts to understand recent, apparently anomalous ENSO behaviour are hampered by the lack of long, high-quality climate records. While instrumental data generally covers the past 150 years, record length is insufficient for the assessment of past changes in the frequency, magnitude, and duration of ENSO. Here, multiproxy networks of high-resolution tree-ring, coral, ice and documentary records derived from eastern and western Pacific ENSO ???centres of action??? are analysed (A.D. 1525-2002). Considerable improvements in ENSO reconstruction are achieved from expanding the use of records from the western Pacific. In particular, ~500 years of a continuous 3,722 year ENSO sensitive tree-ring record from New Zealand is introduced. Although extreme ENSO events are seen throughout a 478-year discrete event analysis, 43% of extreme, 20% of very strong and 28% of all protracted ENSO events occur within the 20th century. Principal component analysis was used to extend instrumental records of the Southern Oscillation Index (SOI) Ni??o 3.4 Sea Surface Temperature (Ni??o 3.4 SST) and a newly developed coupled ocean-atmospheric ENSO index (CEI) by 347 years. Significantly, of the three indices reconstructed here, CEI reconstructions were largely found to be the best predictors of ENSO. The results suggest that ENSO may be more effectively characterised using a coupled ocean-atmosphere index, particularly for December-May periods. Compared to the pre-instrumental period, the late 19th and early 20th centuries indicate a clear trend toward increased ENSO variability over the past 150 years. Significantly, spectral analysis of reconstructed indices reveals a marked change in the frequency and intensity of ENSO beginning ~A.D. 1850, coinciding with the end of the Little Ice Age and the boom in global industrialisation. This suggests that ENSO may operate differently under natural (pre-industrial) and anthropogenically influenced background states. This study asserts that recent ENSO variability appears anomalous in the context of the past five centuries. Given the considerable socio-economic impacts of ENSO events, future investigation into the implications an increasingly anthropogenically-warmed world may have on ENSO is vital.
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Ferrett, Samantha Joanne. "El Nino Southern Oscillation stability under global warming." Thesis, University of Exeter, 2015. http://hdl.handle.net/10871/19362.

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Typically, multi-model ensemble studies show mixed responses of El Nino Southern Oscillation (ENSO) under global warming, so it is currently unknown how, or even if, global warming will impact ENSO and its teleconnections. ENSO is governed by various ocean-atmosphere interactions in the equatorial Pacific, which provide either positive amplifying or negative damping feedbacks and are not always accurate in models. This results in uncertainty in projected ENSO responses. In a flux adjusted HadCM3 perturbed physics ensemble, the Bjerknes' stability index (BJ index), a measure of ENSO stability, has been used to analyse the strength of ENSO feedbacks and their response under the SRES A1B warming scenario with respect to mean climate conditions. Despite mean sea surface temperature biases being minimised by flux adjustment, the important dominant feedbacks, namely the latent heat flux feedback, shortwave flux feedback, the thermocline feedback and the zonal advective feedback are found to be too weak in the ensemble. Common model biases cause weak ocean-atmosphere interactions such as a weak response of ocean currents to wind stress anomalies, a weak thermocline slope response to wind stress anomalies and weak thermodynamic dampings. These biases are linked to overly strong zonal surface ocean currents and convective response biases. Under global warming, a large increase in thermodynamic damping, caused by increasing shortwave damping, is found. This increase is linked to a strong convective response and overrides other feedback responses, resulting in a weakening BJ index in contrast to increasing ENSO amplitude. Positive feedback responses are also found but counteract each other, so have relatively little impact on total ENSO stability. Results here show that common model biases, such as the cold tongue bias, are linked to persistent ENSO feedback biases pointing to areas of improvement in future models. Results also suggest that caution must be exercised when using the BJ index to assess ENSO, as the BJ index is not always representative of ENSO amplitude. This may be caused by non-linearities in ENSO feedbacks which are not accounted for by the linear approximations used in the BJ index, or by ENSO feedbacks not being directly comparable in magnitude, as assumed by the BJ index calculation.
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Thompson, Christopher J. "A linear, stochastic, dynamical model of El Nino/southern oscillation /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/6754.

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Fogt, Ryan Lee. "Investigation of the Southern Annular Mode and the El Nino - Southern Oscillation Interactions." The Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=osu1180462358.

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Manobavan, Manoharadas. "The responses of terrestrial vegetation to El Nino southern oscillation perturbations." Thesis, Kingston University, 2003. http://eprints.kingston.ac.uk/20363/.

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The enhanced warming effect possibly due to anthropogenic green house gas emissions has led to the derangement of global climatic mechanisms (especially at the interannual scale). This has led to the disturbances to the equilibrium of the Earth System and the interconnected self-regulatory processes. Terrestrial vegetation takes an active role in the regulation of the equilibrium of the Earth System by the processes of resistance and resilience. Whilst comprehensive and extensive modelling studies that investigate the effects of climatic change in terrestrial systems have been undertaken, few investigations have focused on the change and evolution in these systems from a holistic geophysiological perspective. In the first part of this thesis, econometric time-series modelling techniques were applied to National Oceanographic and Atmospheric Administration Advanced Very High Resolution Radiometer derived Normalized Difference Vegetation Index data sets in order to evaluate the responses of terrestrial South American vegetation to the interannual El Nifio Southern Oscillation climatic perturbations. Lags between vegetation response and the El Nifio Southern Oscillation perturbations are identified and quantified. The results indicate that the terrestrial vegetation loses its sensitivity to El Nifio Southern Oscillation perturbations in the post 1993 period, leading to the hypothesis that the terrestrial system maybe showing a Gaian behaviour that would enable homeostasis in the system of concern. The null hypothesis of this was tested using a stochastic Auto Regressive Integrative Moving Average model, which further strengthens the argument put forward by the hypothesis. Further comprehensive analysis was performed by using the Hybrid version 4.1, a mechanistical model of vegetation dynamics to test the effects of varying changes in the phase and amplitudes of the El Nino Southern Oscillation on terrestrial vegetation. Simulations of different interannual El Nino Southern Oscillation climatic scenarios under varying trends for increases in atmospheric C02 concentrations confirm the possibility of such a homeostatic property in the terrestrial vegetation system within its geophysiological limits.
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Fan, Yun. "ENSO prediction and predictability in an intermediate coupled model." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390461.

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Peralta-Hernandez, Ana Rosa. "El Nino Southern Oscillation (ENSO) effects on hydro-ecological parameters in central Mexico." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/298799.

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The impacts of El Nino Southern Oscillation (ENSO) on precipitation, reference evapotranspiration, and vegetation in a three-state region of central Mexico were investigated using daily weather data from 20 weather stations for the years 1970 through 1990, which included 5 El Nino years, 5 La Nina years, and 11 Neutral years. In addition, two years, 1997 (El Nino), and 1998 (La Nina) of 10-day NDVI composites were analyzed during the growing season (May-Oct) along with precipitation and reference evapotranspiration (ETo) over central Mexico. Regional precipitation trends were analyzed using the normalized rainfall departures. The interannual variation of vegetation cover was analyzed using the NDVI on 10-day and monthly bases. The Food and Agricultural Organization (FAO) Penman-Monteith method was used to calculate ETo. The dynamics of the soil water balance in central Mexico was evaluated according to the method proposed by Thornthwaite and Mather. Analyses indicate that driest conditions occurred within the northern part of the region and during neutral ENSO years. Rainfall amounts during El Nino and Neutral years were not statistically different however, La Nina years were about 30% wetter than N and EN years (0.05 level). The correlation coefficient between NDVI and precipitation was 0.79 in 1997, and 0.52 in 1998, in June and July, respectively. Negative correlation was found between NDVI and reference evapotranspiration during the rainy months of July and August. The spatio-temporal variability of NDVI showed that there was significant statistical difference in NDVI between regions, but not between years. Regional soil water balance determinations indicated that conditions were most favorable in the Southern part of the region for crop growth during La Nina years. In general, soil water deficits were reduced by about 50% during the growing season compared to the annual soil water deficits.
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Peskan, Kimberly A. "A statistical assessment of the relationship of the El Nino/Southern Oscillation to Great Lakes water levels." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ62265.pdf.

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Illig, Séréna. "Variabilité basse fréquence de l'Atlantique tropical : rôle de la dynamique océanique équatoriale et influence d'El Nino southern oscillation." Toulouse 3, 2005. https://tel.archives-ouvertes.fr/tel-00260664.

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L'objectif de cette thèse est l'étude de la variabilité interannuelle en Atlantique tropical : nous étudions les rôles des processus couplés liés à la dynamique linéaire et ceux liés à l'influence de la variabilité du Pacifique tropical de type El Niño. Les résultats obtenus suggèrent que la variabilité associée aux propagations d'ondes de Kelvin et de Rossby joue un rôle essentiel dans l'ajustement océanique au forçage par le vent et plus généralement dans les processus couplés océan-atmosphère en Atlantique équatorial. Les résultats de simulations couplées montrent que l'énergie dans la bande de fréquences 1-3 ans est en partie liée aux interactions locales air-mer, tandis que la variabilité associée au Pacifique tropical domine les basses fréquences (3-7 ans). Nos résultats soulignent la complexité du système océan-atmosphère en Atlantique équatorial, dont la prédictibilité dépend fortement de la variabilité du Pacifique tropical et de la variabilité atmosphérique intra-saisonnière
The objectives of this thesis are to study the coupled interannual variability in the Tropical Atlantic associated to the linear dynamics and the teleconnections with the Tropical Pacific El Niño variability. Our study suggest first that low-frequency wave dynamics (Kelvin and Rossby waves propagation) is to a large extent at work in the Tropical Atlantic, and play a significant part in the ocean-atmosphere mechanisms that can lead to the Atlantic Equatorial mode. The results of coupled experiments show that peak in SST variability in the 1 to 3 year band, as observed in the Equatorial Atlantic, is partly due to the local air-sea interactions, whereas remote ENSO Pacific forcing controls the lower frequency variability (3-7 year). Our results point out the complexity of the Equatorial Atlantic ocean-atmosphere system which predictability depends on the Pacific ENSO conditions and/or the high-frequency atmospheric activity
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Johnson, Scot. "Markov model studies of the El Niño-Southern Oscillation /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/15490.

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Books on the topic "El Nino and Southern Oscillation"

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Diaz, Henry F., and Vera Markgraf, eds. El Nino and the Southern Oscillation. Cambridge: Cambridge University Press, 2000. http://dx.doi.org/10.1017/cbo9780511573125.

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Allan, Rob. El Niño Southern Oscillation and climatic variability. Collingwood, Vict: CSIRO PUblishing, 1996.

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George C. Marshall Space Flight Center., ed. Statistical aspects of ENSO events (1950-1997) and the El Niño-Atlantic intense hurricane activity relationship. [Marshall Space Flight Center, Ala.]: National Aeronautics and Space Administration, George C. Marshall Space Flight Center, 1998.

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El Niño, La Niña, and the southern oscillation. San Diego: Academic Press, 1990.

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F, Diaz Henry, and Markgraf Vera, eds. El Niño: Historical and paleoclimatic aspects of the southern oscillation. Cambridge [England]: Cambridge University Press, 1992.

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1933-, Glynn Peter W., ed. Global ecological consequences of the 1982-83 El Nino-Southern Oscillation. Amsterdam: Elsevier, 1990.

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F, Diaz Henry, and Markgraf Vera, eds. El Niño and the southern oscillation: Multiscale variability and global and regional impacts. Cambridge, U.K: Cambridge University Press, 2000.

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H, Glantz Michael, Katz Richard W, and Nicholls N, eds. Teleconnections linking worldwide climate anomalies: Scientific basis and societal impact. Cambridge [England]: Cambridge University Press, 1991.

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Hamnett, Michael P. Impact of ENSO events on tuna fisheries in the U.S. affiliated Pacific Islands. [Honolulu, Hawaii: University of Hawaii, Joint Institute for Marine and Atmospheric Research, 2000.

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Programme, United Nations Environment. Climate crisis: The societal impacts associated with the 1982-83 Worldwide climate anomalies. New York: United Nations Environment Programme, 1987.

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Book chapters on the topic "El Nino and Southern Oscillation"

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Ghil, Michael, and Ilya Zaliapin. "El Niño/Southern Oscillation." In Encyclopedia of Natural Hazards, 250–63. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-1-4020-4399-4_112.

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Körper, Janina. "El Niño (Southern Oscillation)." In Encyclopedia of Marine Geosciences, 1–2. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-6644-0_161-1.

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Körper, Janina. "El Niño (Southern Oscillation)." In Encyclopedia of Marine Geosciences, 216–17. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-007-6238-1_161.

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Cunha, G. R., G. A. Dalmago, and V. Estefanel. "El Nino — Southern Oscillation Influences on Wheat Crop in Brazil." In Wheat in a Global Environment, 445–50. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-3674-9_58.

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Eubanks, T. M., J. A. Steppe, and J. O. Dickey. "The El-Nino, the Southern Oscillation and the Earth Rotation." In Earth Rotation: Solved and Unsolved Problems, 163–86. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4750-4_12.

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Diaz, Henry F. "El Niño–Southern Oscillation (ENSO)." In Encyclopedia of Earth Sciences Series, 748–54. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-93806-6_131.

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Lau, William K. M., and Duane E. Waliser. "El Niño Southern Oscillation connection." In Intraseasonal Variability in the Atmosphere-Ocean Climate System, 297–334. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-13914-7_9.

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Diaz, Henry F. "El Niño–Southern Oscillation (ENSO)." In Encyclopedia of Earth Sciences Series, 1–6. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-48657-4_131-2.

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Krishnamurti, T. N., Lydia Stefanova, and Vasubandhu Misra. "El Niño and Southern Oscillation." In Springer Atmospheric Sciences, 197–220. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7409-8_9.

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Stronge, William B., Henry F. Diaz, Henry Bokuniewicz, Douglas L. Inman, Scott A. Jenkins, John R. C. Hsu, Michael J. Kennish, et al. "El NiñNo-Southern Oscillation (ENSO)." In Encyclopedia of Coastal Science, 403–7. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3880-1_131.

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Conference papers on the topic "El Nino and Southern Oscillation"

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Anderson, David. "Early Successes: El Nino, Southern Oscillation and Seasonal Forecasting." In OceanObs'09: Sustained Ocean Observations and Information for Society. European Space Agency, 2010. http://dx.doi.org/10.5270/oceanobs09.pp.01.

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Mandang, Idris, and Rahmiati. "Influences EL Nino Southern Oscillation (ENSO) on rainfall in East Kalimantan-Indonesia." In THE 3RD INTERNATIONAL CONFERENCE ON MATHEMATICS AND SCIENCES (THE 3RD ICMSc): A Brighter Future with Tropical Innovation in the Application of Industry 4.0. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0113918.

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Tabassum, Sabiha, A. T. M. Hasan Zobeyer, and Nasreen Jahan. "El Nino-Southern Oscillation (ENSO): Teleconnection and Possibilities for Drought Forecasting in Dhaka." In World Environmental and Water Resources Congress 2018. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481417.022.

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Kolker, Alexander S. "DOES THE EL NINO SOUTHERN OSCILLATION LEAVE AN IMPRINT ON THE MISSISSIPPI RIVER'S DISCHARGE RECORD?" In 50th Annual GSA South-Central Section Meeting. Geological Society of America, 2016. http://dx.doi.org/10.1130/abs/2016sc-273847.

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Uzun, Asli, and Beyza Ustaoglu. "Impacts of El Nino Southern Oscillation (ENSO) and North Atlantic Oscillation (NAO) on the Olive Yield in the Mediterranean Region, Turkey." In 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, 2019. http://dx.doi.org/10.1109/agro-geoinformatics.2019.8820566.

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Safril, Agus. "PENGARUH INTESITAS EL NINO SOUTHERN OSCILLATION DISERTAI INDIAN OCEAN DIPOLE TERHADAP SIFAT HUJAN DI JAWA BARAT BAGIAN TENGGARA." In SEMINAR NASIONAL FISIKA 2018 UNJ. Pendidikan Fisika dan Fisika FMIPA UNJ, 2018. http://dx.doi.org/10.21009/03.snf2018.02.pa.08.

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Kilifarska, N., and T. Velichkova. "Near-tropopause Ozone – a Driver of the El Nino Southern Oscillation’s Phase Changes." In 11th Congress of the Balkan Geophysical Society. European Association of Geoscientists & Engineers, 2021. http://dx.doi.org/10.3997/2214-4609.202149bgs37.

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Tiwari, Eshan, Vikash Kumar, and Piyush Pratap Singh. "Anti-Synchronisation of Vallis Chaotic Systems using Nonlinear Active Control Technique Quantitative Features of El-Nino Southern Oscillation (ENSO) Phenomenon." In 2018 2nd International Conference on Energy, Power and Environment: Towards Smart Technology (ICEPE). IEEE, 2018. http://dx.doi.org/10.1109/epetsg.2018.8658901.

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Mumtahana, Farahhati, Santi Sulistiani, and Rasdewita Kesumaningrum. "Correlation between solar activity and El Niño Southern Oscillation (ENSO)." In THE 5TH INTERNATIONAL CONFERENCE ON MATHEMATICS AND NATURAL SCIENCES. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4930679.

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Hassebo, Yasser Y., Nour Hadjih, Ahmed Hassebo, and Frank Wang. "El Niño southern oscillation: nonlinear modeling, satellite data, and Fourier analysis." In Earth Observing Systems XXII, edited by James J. Butler, Xiaoxiong (Jack) Xiong, and Xingfa Gu. SPIE, 2017. http://dx.doi.org/10.1117/12.2274890.

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Reports on the topic "El Nino and Southern Oscillation"

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Research Institute (IFPRI), International Food Policy. El Niño-Southern oscillation impacts on agriculture and the national economy. Washington, DC: International Food Policy Research Institute, 2019. http://dx.doi.org/10.2499/9780896293595_03.

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Yeates, Elissa, Kayla Cotterman, and Angela Rhodes. Hydrologic impacts on human health : El Niño Southern Oscillation and cholera. Engineer Research and Development Center (U.S.), January 2020. http://dx.doi.org/10.21079/11681/39483.

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Abstract:
A non-stationary climate imposes considerable challenges regarding potential public health concerns. The El Niño Southern Oscillation (ENSO) cycle, which occurs every 2 to 7 years, correlates positively with occurrences of the waterborne disease cholera. The warm sea surface temperatures and extreme weather associated with ENSO create optimal conditions for breeding the Vibrio cholerae pathogen and for human exposure to the pathogenic waters. This work explored the impacts of ENSO on cholera occurrence rates over the past 50 years by examining annual rates of suspected cholera cases per country in relation to ENSO Index values. This study provides a relationship indicating when hydrologic conditions are optimal for cholera growth, and presents a statistical approach to answer three questions: Are cholera outbreaks more likely to occur in an El Niño year? What other factors impact cholera outbreaks? How will the future climate impact cholera incidence rates as it relates to conditions found in ENSO? Cholera outbreaks from the 1960s to the present are examined focusing on regions of Central and South America, and southern Asia. By examining the predictive relationship between climate variability and cholera, we can draw conclusions about future vulnerability to cholera and other waterborne pathogenic diseases.
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Romero-Chamorro, José Vicente, and Sara Naranjo-Saldarriaga. Weather Shocks and Inflation Expectations in Semi-Structural Models. Banco de la República Colombia, November 2022. http://dx.doi.org/10.32468/be.1218.

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Colombia is particularly affected by the El Niño Southern Oscillation (ENSO) weather fluctuations. In this context, this study explores how the adverse weather events linked to ENSO affect the inflation expectations in Colombia and how to incorporate these second-round effects into a small open economy New Keynesian model. Using BVARx models we provide evidence that the inflation expectations obtained from surveys and break-even inflation measures are affected by weather supply shocks. Later, using this stylised fact, we modify one of the core forecasting models of the Banco de la República by incorporating the mechanisms in which weather-related shocks affect marginal costs and inflation expectations. We find that ENSO shocks had an important role in both inflation and the dynamics of inflation expectations, and that policymakers should consider this fact.
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Moore, M. D. Proxy Records of the Indonesian Low and the El Ni{tilde n}o-Southern Oscillation (ENSO) from Stable Isotope Measurements of Indonesian Reef Corals. Office of Scientific and Technical Information (OSTI), December 1995. http://dx.doi.org/10.2172/481955.

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