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1

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

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2

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 increas
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3

Yananto, Ardila, and Rini Mariana Sibarani. "ANALISIS KEJADIAN EL NINO DAN PENGARUHNYA TERHADAP INTENSITAS CURAH HUJAN DI WILAYAH JABODETABEK (Studi Kasus : Periode Puncak Musim Hujan Tahun 2015/2016)." Jurnal Sains & Teknologi Modifikasi Cuaca 17, no. 2 (2016): 65. http://dx.doi.org/10.29122/jstmc.v17i2.541.

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IntisariBeberapa lembaga riset dunia dan badan-badan meteorologi beberapa negara di dunia menyatakan adanya kejadian El Nino Tahun 2015 terus berlanjut hingga tahun 2016. Adanya kejadian El Nino tersebut secara umum akan mempengarui intensitas curah hujan di sebagian besar wilayah Indonesia termasuk wilayah Jabodetabek. Analisis kejadian El Nino Tahun 2015/2016 dilakukan dengan menganalisis nilai NINO 3.4 SST Index, Southern Oscillation Index (SOI), Indian Ocean Dipole (IOD), pola sebaran suhu permukaan laut (Sea Surface Temperature) dan juga gradient wind di Samudra Pasifik Tropis. Sedangkan
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4

Koem, S., R. J. Lahay, and S. K. Nasib. "The sensitivity of meteorological drought index towards El Nino-Southern Oscillation." IOP Conference Series: Earth and Environmental Science 1089, no. 1 (2022): 012005. http://dx.doi.org/10.1088/1755-1315/1089/1/012005.

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Abstract El Nino-Southern Oscillation (ENSO) contributes to the regional climates, such as precipitation and droughts. The objectives of the present work were to: (1) identify the severity index; (2) analyze the correlation of SPI and RDI, and; (3) identify the response of SPI and RDI towards ENSO. SPI and RDI were calculated for time scales (3, 6, and 12 months), and these represented the seasonal and annual drought. The identification of the responses of the drought severity index, based on ENSO, consisted of several thresholds, namely weak, moderate, and strong. The correlational value and
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5

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 (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 den
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6

Tongkukut, Seni Herlina J. "El-NINO DAN PENGARUHNYA TERHADAP CURAH HUJAN DI MANADO SULAWESI UTARA." JURNAL ILMIAH SAINS 11, no. 1 (2011): 102. http://dx.doi.org/10.35799/jis.11.1.2011.51.

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Telah dilakukan analisis El-Nino dan pengaruhnya terhadap curah hujan di Manado Sulut dengan menggunakan data curah hujan bulanan dan Southern Oscillation Index SOI selama thn 1999-2009. Data curah hujan diperoleh dari BMKG Kayuwatu Manado Sulut dan data SOI diunduh dari website Biro Meteorologi Australia BoM. Analisis dilakukan dengan analisis regresi linear sederhana. Diperoleh hasil bahwa curah hujan kota Manado secara umum dari thn 1999-2008 dipengaruhi oleh SOI namun pada thn 2009 ketika terjadi El-nino, curah hujan bulanan Manado tidak dipengaruhi oleh efek El-nino. Hal ini karena pada s
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7

Mahmud, Mastura, and Nur Hidayah Ahmad. "Peristiwa El Nino, keragaman hujan dan potensi Southern Oscillation Index untuk peramalan kualiti udara di Malaysia." Malaysian Journal of Society and Space 14, no. 2 (2018): 13–25. http://dx.doi.org/10.17576/geo-2018-1402-02.

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8

Hashidu, U. S., and S. I. Badaru. "Relationship between El-Niño southern oscillation and rainfall in Sudano-Sahelian Region of Northern Nigeria." JOURNAL OF AGRICULTURAL ECONOMICS, ENVIRONMENT AND SOCIAL SCIENCES 7, no. 2 (2021): 211–16. http://dx.doi.org/10.56160/jaeess202172019.

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El Nino Southern-Oscillation (ENSO) refers to the cycle of coherent and sometimes very strong variations in the sea surface temperature (SST), convective rainfall, surface pressure and atmospheric circulation across the equatorial Pacific Ocean. The research investigated the relationship between ENSO and rainfall across the Sudano-Sahelian region of northern Nigeria. Rainfall data for seven (7) locations were sourced from the Nigerian Meteorological Agency (NIMET) covering the period from 1950 to 2019 and El-Nino Southern Oscillation (ENSO) data which comprised of Southern Oscillation Index (S
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9

Dwipayana, Made, I. Gede Putu Eka Suryana, and I. Gede Yudi Wisnawa. "The Impact of El Nino on Rainfall Variability in Buleleng Regency (Case Study: Period 1995-2004)." Tunas Geografi 12, no. 1 (2023): 47. http://dx.doi.org/10.24114/tgeo.v12i1.46586.

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The climate in Indonesia usually runs yearly; there are times when a decrease in rainfall results in drought, and at other times, the rainfall increases resulting in flooding. One of the causes of changes in precipitation in Indonesia, including in most parts of the world, is ENSO (El Nino-Southern Oscillation), often called El Nino. This study aimed to determine the relationship between ENSO index data (SST Nino 3.4 anomaly) and monthly rainfall data in Buleleng Regency. This study uses secondary data, namely monthly rainfall data at 16 rain posts in Buleleng Regency and ENSO Index data from
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10

Utami, Arini Wahyu, Jamhari Jamhari, and Suhatmini Hardyastuti. "EL NINO, LA NINA, DAN PENAWARAN PANGAN DI JAWA, INDONESIA." Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan 12, no. 2 (2011): 257. http://dx.doi.org/10.23917/jep.v12i2.197.

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Paddy and maize are two important food crops in Indonesia and mainly produced in Java Island. This research aimed to know the impact of El Nino and La Nina on paddy and maize farmer’s supply in Java. Cross sectional data from four provinces in Java was combined with time series data during 1987-2006. Paddy supply was estimated using log model, while maize supply used autoregressive model; each was estimated using two types of regression function. First, it included dummy variable of El Nino and La Nina to know their influence into paddy and maize supply. Second, Southern Oscillation Index was
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11

Sukresno, Bambang, Denarika Jatisworo, and Denny Wijaya Kusuma. "ANALISIS MULTILAYER VARIABILITAS UPWELLING DI PERAIRAN SELATAN JAWA." Jurnal Kelautan Nasional 13, no. 1 (2018): 15. http://dx.doi.org/10.15578/jkn.v1i1.6619.

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Variabilitas upwelling di perairan selatan Jawa telah diidentifikasi. Analisis multilayer dilakukan dengan menggunakan data ARGO Float. Variabilitas suhu permukaan laut (SPL) dan klorofil-a (klor-a) dianalisis dengan menggunakan data satelit MODIS Aqua. Pengaruh El Nino Southern Oscillation (ENSO) terhadap upwelling dilakukan dengan menggunakan indeks Oceanic Nino Index (ONI), sedangkan pengaruh Indian Ocean Dipole (IOD) direpresentasikan dengan menggunakan indeks Dipole Mode Index (DMI). Dari hasil penelitian diketahui bahwa ENSO mempengaruhi intensitas upwelling. Pada periode el nino intensi
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12

Bolius, David, Margit Schwikowski, Theo Jenk, Heinz W. Gäggeler, Gino Casassa, and Andrés Rivera. "A first shallow firn-core record from Glaciar La Ollada, Cerro Mercedario, central Argentine Andes." Annals of Glaciology 43 (2006): 14–22. http://dx.doi.org/10.3189/172756406781812474.

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AbstractIn January 2003, shallow firn cores were recovered from Glaciar Esmeralda on Cerro del Plomo (33°14’S, 70°13’W; 5300 ma.s.l.), central Chile, and from Glaciar La Ollada on Cerro Mercedario (31°58’S, 70°07’W; 6070 ma.s.l.), Argentina, in order to find a suitable archive for paleoclimate reconstruction in a region strongly influenced by the El Nino-Southern Oscillation. In the area between 28°S and 35°S, the amount of winter precipitation is significantly correlated to the Southern Oscillation Index, with higher values during El Nino years. Glaciochemical analysis indicates that the pale
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13

Hsieh, WW, and BV Hamon. "The El Nino-Southern Oscillation in south-eastern Australian waters." Marine and Freshwater Research 42, no. 3 (1991): 263. http://dx.doi.org/10.1071/mf9910263.

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Using four decades of hydrographic data collected off the coast near Sydney, New South Wales, and sea-level data at Sydney, we studied the interannual variability in south-eastern Australian shelf waters. The first two empirical orthogonal function (EOF) modes of the band-pass-filtered 50-m-depth hydrographic data (temperature, T; salinity, S; nitrate, N; inorganic phosphate, P; and oxygen, O) and the sea level (SL) and adjusted sea level (ASL) data accounted respectively for 51 and 27% of the total variance. Both modes were significantly correlated with the Southern Oscillation Index (SOI). T
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14

Oladejo, K. M. "RELATIONSHIP OF EL NINO/SOUTHERN OSCILLATION TO RAINFALL PATTERNS IN NIGERIA." Open Journal of Environmental Research (ISSN: 2734-2085) 1, no. 1 (2020): 1–20. http://dx.doi.org/10.52417/ojer.v1i1.68.

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This paper examines the relationship between El Nino/Southern Oscillation (ENSO) and rainfall patterns in Nigeria. Annual rainfall totals, growing season rainfall totals and annual raindays of 27 Nigerian meteorological stations with varying lengths of records from 1903 to 2012 were collected from the Nigerian Meteorological Agency (NIMET). Monthly Sea Surface Temperatures (SSTs) anomalies data over Atlantic and Pacific Oceans and Southern Oscillation Index (SOI) were obtained from Climatic Prediction Centre (CPC). Kendall tau statistics and Step-Wise Multiple Regression model were used for da
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15

Hidayat, Anistia Malinda, Usman Efendi, Lisa Agustina, and Paulus Agus Winarso. "KORELASI INDEKS NINO 3.4 DAN SOUTHERN OSCILLATION INDEX (SOI) DENGAN VARIASI CURAH HUJAN DI SEMARANG." Jurnal Sains & Teknologi Modifikasi Cuaca 19, no. 2 (2018): 75. http://dx.doi.org/10.29122/jstmc.v19i2.3143.

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Semarang merupakan salah satu wilayah di Indonesia yang rawan terdampak bencana hidrometeorologi. Sejumlah wilayah di Semarang merupakan daerah rawan kekeringan, sementara di wilayah lainnya merupakan daerah langganan banjir tiap tahunnya. Salah satu parameter yang memiliki keterkaitan erat dengan fenomena hidrometeorologi adalah El Nino Southern Oscillation (ENSO). Sebagai sirkulasi tropis non musiman, ENSO memiliki peran penting terhadap variasi curah hujan yang diamati. Penelitian terkait ENSO telah banyak dilakukan sebelumnya, namun belum ada penelitian tekait yang dilakukan di Semarang ya
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16

Dewi, Sri Mai, and Marzuki Marzuki. "Analisis Pengaruh Pergeseran Lokasi ENSO terhadap Curah Hujan di Indonesia." Jurnal Fisika Unand 9, no. 2 (2020): 176–82. http://dx.doi.org/10.25077/jfu.9.2.176-182.2020.

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ENSO (El Nino Southern Oscillation) merupakan gejala penyimpangan suhu permukaan laut di Samudera Pasifik bagian timur dari kondisi normal. Penelitian ini menganalisis dampak dari perbedaan posisi pusat ENSO terhadap curah hujan di Indonesia. Posisi pusat ENSO ditentukan berdasarkan indeks terbesar dari empat indeks Nino selama tahun 1982-2016. Posisi pusat ENSO didefinisikan jauh, menengah dan dekat dari Indonesia ketika indek Nino yang terbesar berturut-turut adalah Nino 1+2, Nino 3 dan Nino 3,4, serta Nino 4. Intensitas curah hujan di setiap posisi ENSO diamati menggunakan data Global Preci
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17

RAJEEVAN, M. "Post monsoon tropical cyclone activity in the north Indian Ocean in relation to the El Nion / southern Oscillation phenomenon." MAUSAM 40, no. 1 (2022): 55–58. http://dx.doi.org/10.54302/mausam.v40i1.1934.

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In this paper the relationship between post monsoon (Oct-Dec) tropical cyclone activity in the north Indian Ocean and El Nino Southern Oscillation (ENSO) is discussed. The study uses a 83-year {1901-1983) time series or number of storm days for preliminary analysis. On an average the number of storm days during El Nina year is not departed from the normal. Usin9 the 48-year. (1935-1982) time series of number of storm days correlations were calculated with southern oscillation index (mean sea level pressure difference between Tahiti and Darwin) before, during and after the season: A weak negati
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18

Voskresenskaya, E. N., and V. N. Maslova. "Winter-spring cyclonic variability in the Mediterranean-Black Sea region associated with global processes in the ocean-atmosphere system." Advances in Science and Research 6, no. 1 (2011): 237–43. http://dx.doi.org/10.5194/asr-6-237-2011.

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Abstract. Using global NCEP/NCAR reanalysis data set on 1000 hPa geopotential height (1948–2006), cyclones in the Mediterranean and Black Sea regions were detected and their main characteristics (frequency, depth, integrated area) were calculated. Analysis of their interannual-multidecadal variability in January-March associated with global processes in the ocean-atmosphere system was done. It was shown that North Atlantic Oscillation (NAO) manifests in the Black Sea region mainly in the variability of frequency of cyclones while in the Mediterranean – in the interannual anomalies of cyclones'
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Yananto, Ardila, and Saraswati Dewi. "ANALISIS KEJADIAN EL NINO TAHUN 2015 DAN PENGARUHNYA TERHADAP PENINGKATAN TITIK API DI WILAYAH SUMATERA DAN KALIMANTAN." Jurnal Sains & Teknologi Modifikasi Cuaca 17, no. 1 (2016): 11. http://dx.doi.org/10.29122/jstmc.v17i1.544.

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IntisariKejadian El Nino yang berdampak pada sebagian besar wilayah Indonesia akan selalu berasosiasi dengan kekeringan akibat dari berkurangnya intensitas curah hujan. Lebih jauh akibat dari kekeringan tersebut telah menimbulkan meningkatnya titik api secara signifikan dibandingkan dengan tahun-tahun sebelumnya khususnya di wilayah Sumatera dan Kalimantan, dimana hal tersebut telah mengakibatkan terjadinya bencana asap pada tahun 2015. Tujuan utama penulisan karya tulis ini adalah untuk menganalisis kejadian El Nino pada tahun 2015 dan pengaruhnya terhadap peningkatan titik api di wilayah Sum
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20

Chung, Christine T. Y., and Scott B. Power. "The non-linear impact of El Nino, La Nina and the Southern Oscillation on seasonal and regional Australian precipitation." Journal of Southern Hemisphere Earth Systems Science 67, no. 1 (2017): 25. http://dx.doi.org/10.1071/es17004.

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The relationship between El Niño-Southern Oscillation (ENSO) indices and precipitation (P) in some parts of Australia has previously been shown to be non-linear on annual and seasonal time scales. Here we examine the relationship between P and the Southern Oscillation Index (SOI) at all Australian locations and in all seasons. We show that in many Australian regions, there is more-than-expected P during strong La Niña years (SOI>13), but less-than-expected drying during strong El Niño years (SOI
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21

Lin, Jen-Yang, Ming-Chung Tang, and Febrianto Wijaya. "Satellite Oceanographic Data Processing and Analysis: Correlation Between Nino 3.4 Sea Surface Temperature & Sea Surface High and Wind." Indonesian Journal of Earth Sciences 2, no. 2 (2022): 157–76. http://dx.doi.org/10.52562/injoes.v2i2.428.

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El Nino Southern Oscillation (ENSO) is an irregular climate oscillation induced by sea surface temperature anomalies (SSTA) in the Equatorial Pacific Ocean. An anomalous warming in this area is known as El Nino, while an anomalous cooling bears the name of La Nina. The objectives of this study are to: reproduce Oceanic Nino Index (ONI) based on MW OISST; produce Nino Region 3.4 wind and Sea Surface High (SSH); analyze the correlation between SST and Wind & SSH; discuss Typhoon Soudelor based on SST, Wind, and SSH; and analyze the correlation of El Nino and Precipitation in specific area. M
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22

Atmadipoera, Agus S., Agitha Saverti Jasmine, Mulia Purba, and Anastasia R. T. D. Kuswardani. "UPWELLING CHARACTERISTICS IN THE SOUTHERN JAVA WATERS DURING STRONG LA NINA 2010 AND SUPER EL NINO 2015." Jurnal Ilmu dan Teknologi Kelautan Tropis 12, no. 1 (2020): 257–76. http://dx.doi.org/10.29244/jitkt.v12i1.28977.

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Seasonal coastal upwelling in the Southern Java waters is considered to be modulated by interannual ocean-atmosphere variability of El Nino Southern Oscillation (ENSO). This study aims to investigate a contrast in seasonal upwelling characteristics during the La Nina 2010 and El Nino 2015 events, by using multi-datasets from INDESO model output and satellite-derived datasets. Distinct characteristics of seasonal upwelling was clearly seen. In La Nina, surface ocean-atmosphere variables were much lower than that observed in El Nino, except for precipitation rate, sea surface temperature, and se
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23

Malau, Leo Rio Ependi, Khoiru Rizqy Rambe, Nur Arifatul Ulya, and Arly Getha Purba. "Dampak perubahan iklim terhadap produksi tanaman pangan di indonesia." Jurnal Penelitian Pertanian Terapan 23, no. 1 (2023): 34–46. http://dx.doi.org/10.25181/jppt.v23i1.2418.

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Perubahan iklim menjadi salah satu tantangan serius yang dihadapi oleh Indonesia dalam pemenuhan kebutuhan pangan. Salah satu fenomena perubahan iklim yang berpengaruh terhadap sektor pertanian khususnya tanaman pangan adalah El Nino Southern Oscillation (ENSO) yang terdiri dari El Nino dan La Nina. ENSO menyebabkan variabilitas curah hujan sehingga berdampak buruk bagi produksi tanaman pangan seperti padi, jagung dan kedelai. Penelitian ini bertujuan untuk (1) mengidentifikasi provinsi terdampak ENSO di Indonesia dan (2) menganalisis dampak ENSO dan determinan lainnya terhadap produksi tanama
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24

Li, H. J., J. E. Gao, H. C. Zhang, Y. X. Zhang, and Y. Y. Zhang. "Response of Extreme Precipitation to Solar Activity and El Nino Events in Typical Regions of the Loess Plateau." Advances in Meteorology 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/9823865.

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Extreme climatic oscillation has been the subject of global attention. The purpose of this study is to explore the response of extreme precipitation to solar activity and El Nino events in typical regions of the Loess Plateau—a case study in the Yan’an area. The precipitation data was from nine weather stations in Yan’an and the sunspot number and the Southern Oscillation Index (SOI) were from 1951 to 2015. The results show that maximum precipitation occurred mainly at the peak sunspot number or 2a near it and the sunspot number minimum and valley values were not significantly correlated. The
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KANE, R. P. "Trends, periodicities and ENSO relationships of the annual precipitation over the contiguous United States and Southern Canada." MAUSAM 52, no. 4 (2022): 659–68. http://dx.doi.org/10.54302/mausam.v52i4.1738.

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The century-long (1891-1990) time series of Groisman and Easterling (1994a,b) representing estimates of annual precipitation amounts over five homogeneous regions of the United States and Southern Canada (south of 55° N) were examined for trends, periodicities and ENSO relationships. The trends were not uniformly up or down during the 100-year interval, for any region. From 1891 to about 1930, the trends were downward or negligible. Thereafter, the trends were mostly upward, with cyclic variations superposed. A spectral analysis revealed significant periodicities in the QBO and QTO regions (2-
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VALE, Roseilson Souza do, Ana Carla dos Santos GOMES, Raoni Aquino Silva de SANTANA, Júlio TÓTA, Scott Dennis MILLER, and Rodrigo Augusto Ferreira de SOUSA. "Hydroclimatic variables associated with El Nino and La Nina events at the Curuá-Una hydroelectric reservoir, Central Amazonia." Acta Amazonica 46, no. 3 (2016): 303–8. http://dx.doi.org/10.1590/1809-4392201600083.

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ABSTRACT The anomalies of Sea Surface Temperature (SST) influence rainfall and therefore the regime of the rise and fall in the level of the rivers in the Amazon region. The aim of this study was to investigate the influence of the El Nino-Southern Oscillation (ENSO) on hydroclimatic variables and identify the existence of trends on these variables in the Curuá-Una hydroelectric reservoir in the West of the State of Pará. It was used 27 years of monthly precipitation and water flow data to identify possible trends using a non-parametric test (Mann Kendall, p<0.05), and the standardized prec
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Diatta, Samo, Cheikh Waly Diedhiou, Didier Maria Dione, and Soussou Sambou. "Spatial Variation and Trend of Extreme Precipitation in West Africa and Teleconnections with Remote Indices." Atmosphere 11, no. 9 (2020): 999. http://dx.doi.org/10.3390/atmos11090999.

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Extreme precipitation is a great concern for West Africa country, as it has serious consequence on key socio-economic activities. We use high resolution data from the Climate Hazards Group InfraRed Precipitation Stations (CHIRPS) to determine the spatial variability, trend of 8 extreme precipitation indices in West Africa and their relationship to remote indices. Spatial variability of extreme is characterized by maximum precipitation over the orographic regions, and in southern Sahel. The trend analysis shows a decrease of dry condition in Sahel and Sahara, and an increase tendency of wet ind
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Chandler, Elise. "Seasonal climate summary southern hemisphere (winter 2015): Mild winter over most of Australia as El Nino strengthens." Journal of Southern Hemisphere Earth Systems Science 66, no. 1 (2016): 68. http://dx.doi.org/10.1071/es16007.

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The climate is summarised for the austral winter season of 2015 with emphasis on the tropical Pacific region as well as rainfall and temperature over Australia. In the tropical Pacific, winter was dominated by a developing El Niño event; by June the Southern Oscillation Index had already exceeded El Niño thresholds for the second month running and sea surface temperatures had also passed key threshold levels as the tropical Pacific Ocean warmed rapidly. Several compo-site indices of El Niño such as the 5VAR and Multivariate ENSO Index (MEI) continued to rise as the winter months progressed, in
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JHA, T. N., and R. D. RAM. "Study of rainfall departure over catchments of Bihar plains." MAUSAM 61, no. 2 (2021): 187–96. http://dx.doi.org/10.54302/mausam.v61i2.800.

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Station wise daily rainfall data of sixty years is used to study rainfall departure and variability in Kosi, Kamala/Bagmati/Adhwara and Gandak/Burhi Gandak catchments during monsoon season. Station and catchment wise rainfall time series have been made to compute rainfall departure and Coefficient of Variation (CV). Southern Oscillation Index (SOI), Multivariate ENSO Index (MEI) and ENSO strength based on percentile analysis are used to ascertain their impact on rainfall distribution in the category as excess, normal, deficient and scanty. Results indicate that the variability is greater over
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Puspasari, R., P. F. Rahmawati, and E. Prianto. "The Effect of ENSO (El Nino Southern Oscillation) phenomenon on Fishing Season of Small Pelagic Fishes in Indonesia Waters." IOP Conference Series: Earth and Environmental Science 934, no. 1 (2021): 012018. http://dx.doi.org/10.1088/1755-1315/934/1/012018.

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Abstract The El Nino Southern Oscillation (ENSO) phenomenon causes changes in environmental conditions such as water temperature, salinity, and rainfall. In fisheries sector, the changing environment has affected the fishing seasons and Catch per Unit Effort (CPUE) of some pelagic species. This research was conducted by calculating CPUE and fishing season index for several small pelagic fishes in Makassar Strait, Bali Strait, and Aceh waters, then comparing the index value with the fishing season pattern in two extreme periods that are 2010-2011 and 2016 - 2017. An ANOVA test was conducted to
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Ogutu, J., R. Reid, H.-P. Piepho, H. Dublin, and Nina Bhola. "El Nino-southern oscillation, rainfall, temperature and normalized difference vegetation index fluctuations in the Mara-Serengeti ecosystem." IOP Conference Series: Earth and Environmental Science 6, no. 2 (2009): 022012. http://dx.doi.org/10.1088/1755-1307/6/2/022012.

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Saputra, Candra, I. Wayan Arthana, and I. Gede Hendrawan. "THE VULNERABILITY STUDY OF LEMURU (SARDINELLA LEMURU) FISH RESOURCES SUSTAINABILITY IN BALI STRAIT IN CORELLATION WITH ENSO AND IOD." ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) 11, no. 2 (2017): 140. http://dx.doi.org/10.24843/ejes.2017.v11.i02.p02.

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The aim of this research is to know the relationship between lemuru fish catch to Sea Surface Temperature (SST), El-Nino Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) phenomenon in Bali Strait. The results showed, that in the period 2007 – 2016. fluctuations of catches lemuru tends to decline. Sea Surface Temperature (SST) distribution with the lowest temperature 25,28oC at 24,53oC - 27,16oC and the highest temperature is 29,31oC in the range of 28,730C – 30,490C. The lowest temperature occurred in July - September while the highest temperature occurred in January - April. Based on
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Firdaus, Alfian, Donny Harisuseno, and Ery Suhartanto. "Studi Analisa Kekeringan Metode Standardized Precipitation Index (SPI) dan Palmer Drought Severity Index (PDSI) di DAS Kemuning Kabupaten Sampang." Jurnal Teknologi dan Rekayasa Sumber Daya Air 1, no. 2 (2021): 535–48. http://dx.doi.org/10.21776/ub.jtresda.2021.001.02.17.

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Kekeringan ialah bencana alam yang terjadi secara perlahan dan berdampak buruk untuk kelangsungan hidup penduduk Kabupaten Sampang. Mengingat hal tersebut, perlu dilakukan analisa indeks kekeringan serta pemetaan sebarannya sebagai upaya mitigasi bencana kekeringan. Studi ini bertujuan untuk mengetahui tingkat keparahan kekeringan dengan metode Standardized Precipitation Index (SPI) dan Palmer Drought Severity Index (PDSI), serta kesesuaiannya dengan data Southern Oscillation Index (SOI) yang mampu mempresentasikan kejadian El Nino Southern Oscillation (ENSO). Setelah itu, Indeks kekeringan ya
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Chandrasekara, Sewwandhi, Venkatraman Prasanna, and Hyun-Han Kwon. "Monitoring Water Resources over the Kotmale Reservoir in Sri Lanka Using ENSO Phases." Advances in Meteorology 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/4025964.

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In this study, the El Nino Southern Oscillation (ENSO) phase index is used for water management over the Kotmale reservoir in Sri Lanka. Daily rainfall data of 9 stations over the Kotmale catchment during 1960–2005 June-September (JJAS) season is investigated over the Kotmale catchment. The ENSO phases are identified based on the 0.5°C sea surface temperature (SST) anomaly over Nino 3 region. The study has brought out few stations showing increasing and a few decreasing seasonal rainfall trends for JJAS season, while there is no change in the annual rainfall for the catchment. Monthly and seas
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Restitiasih, Wayan Mita, I. Ketut Sukarasa, and I. Wayan Andi Yuda. "The Correlation of Southern Oscillation Index (SOI) with the Rainfall at Rainy and Dry Season Peak in Kintamani-Bangli Region period 1986-2015." BULETIN FISIKA 20, no. 2 (2019): 6. http://dx.doi.org/10.24843/bf.2019.v20.i02.p02.

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A correlation study of the Southern Oscillation Index (SOI) on rainfall at the peak of the wet and dry season in the Kintamani-Bangli region has been carried out by taking SOI values and rainfall data for the period 1986-2015. The rainfall data used were recorded at 2 rain posts, namely Kembangsari and Kintamani. The research aimed to determine the relationship of fluctuations in the value of SOI with the intensity of rainfall, so that it can be used as a regional management plan when El Nino occurs. The method used in this study is correlation. The results obtained from the correlation that i
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Kumar, Vinay. "Development of Precise Indices for Assessing the Potential Impacts of Climate Change." Atmosphere 11, no. 11 (2020): 1231. http://dx.doi.org/10.3390/atmos11111231.

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The Special Issue on climate indices and climate change deals with various kinds of indices exits to assess weather and climate over a region. These indices might be based on local, regional, remote variables, which may affect and define the weather and climate of a region. Climate indices are the time series used to monitor the state of the climate and its relationship with other possible causes. With indices being myriad, it is challenging to choose which one is appropriate for a region of interest. However, the relationship between the indices and the climate of a region varies. El-Nino Sou
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Nadolnyak, Denis, and Dmitry Vedenov. "Information Value of Climate Forecasts for Rainfall Index Insurance for Pasture, Rangeland, and Forage in the Southeast United States." Journal of Agricultural and Applied Economics 45, no. 1 (2013): 109–24. http://dx.doi.org/10.1017/s1074070800004612.

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In this article, possible use of climate forecasts in rainfall index insurance of hay and forage production is considered in a geographical area (southeast United States) relatively heavily impacted by the El Nino Southern Oscillation (ENSO). Analysis of the stochastic properties of rainfall, yields, and the ENSO forecasts using the copula technique shows that the forecast impact depends on the proximity to the Gulf Coast where the impact of the ENSO is more pronounced and earlier in the year. Stochastic modeling shows that the use of skillful long-term climate forecasts by the insured produce
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KANE, R. P. "Relation of El Niño characteristics and timings with rainfall extremes in India and Australia." MAUSAM 55, no. 2 (2022): 257–68. http://dx.doi.org/10.54302/mausam.v55i2.1081.

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Whereas some El Nino years are known to be associated with droughts in some parts of the globe, notably India and south-east Australia, the El Niño effects are probabilistic, affecting only some regions and, not all El Niños are equally effective. Recently, it was observed that Unambiguous ENSOW (El Niño years, in which the Southern Oscillation Index minima and Pacific sea surface temperature maxima occurred in the middle of the calendar year) were better associated with droughts. In this communication, it is checked whether the effectiveness of El Niños was in any way related to suitable timi
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Sugiarto, Yon, and Dori Kurniawan. "ANALISIS DAMPAK ENSO (EL-NINO SOUTHERN OSCILLATION) TERHADAP TINGKAT KEKERINGAN UNTUK TANAMAN PANGAN DAN PALAWIJA (STUDI KASUS : SULAWESI SELATAN)." Agromet 23, no. 2 (2009): 182. http://dx.doi.org/10.29244/j.agromet.23.2.182-198.

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<p>Weather and climate variability is a long-term weather changes that are characterized by fluctuations and deviations from normal conditions. One possible cause is the ENSO (El-Nino Southern Oscillation) which affected in drought events. This research was conducted to determine and analyze the level of drought in South Sulawesi due to the influence of ENSO and compare the production of food crops and secondary food crops in normal years and ENSO.<br />Drought index is calculated based on the Palmer method by using data of rainfall, air temperature and soil moisture as input. Base
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Maryanaji, Zohreh, Leili Tapak, and Omid Hamidi. "Climatic and atmospheric indices teleconnection impact on the characteristics of frost season in western Iran." Journal of Water and Climate Change 10, no. 2 (2017): 391–401. http://dx.doi.org/10.2166/wcc.2017.114.

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Abstract The large-scale variability of atmospheric and ocean circulation patterns cause seasonal climate changes in the Earth. In other words, climate elements are affected by phenomena like El Niño Southern Oscillation (ENSO), El Niño (NINO), and Northern Atlantic Oscillation (NAO). In this study the characteristics of the frost season over a 20-year period (1996–2015) from seven synoptic stations in western Iran were evaluated using support vector machine and random forest regression. Comparing determination coefficients obtained by these models between atmospheric and ocean circulation ind
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Kasim, Kamaluddin, Agustinus Anung Widodo, and Andhika Prima Prasetyo. "PENGARUH EPISODE LA NINA DAN EL NINO TERHADAP PRODUKSI BEBERAPA PELAGIS KECIL YANG DIDARATKAN DI PANTAI UTARA JAWA." Jurnal Penelitian Perikanan Indonesia 17, no. 4 (2017): 257. http://dx.doi.org/10.15578/jppi.17.4.2011.257-264.

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Sumberdaya ikan pelagis di Laut Jawa telah dimanfaatkan secara intensif sejak dekade tahun 1980-an danmerupakan kegiatan perikanan utama di Indonesia. Beberapa famili ikan pelagis dominan yang tertangkap diantaranya dari famili Clupeidae, Carangidae dan Scombridae. Penelitian bertujuan untuk mengetahui pengaruh periode La Nina dan El Nino terhadap produksi beberapa jenis ikan yang dominan tertangkap di Pantai Utara Jawa. Penelitian dilakukan selama bulan April sampai dengan September 2010 dengan mengumpulkan data pendaratan ikan melalui enumerator di beberapa lokasi pendaratan ikan yakni PPN P
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Wang, Huaijun, Yingping Pan, and Yaning Chen. "Impacts of regional climate and teleconnection on hydrological change in the Bosten Lake Basin, arid region of northwestern China." Journal of Water and Climate Change 9, no. 1 (2017): 74–88. http://dx.doi.org/10.2166/wcc.2017.140.

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Abstract This investigation examined effects of climate change, measured as annual, seasonal, and monthly air temperature and precipitation from 1958 to 2010, on water resources (i.e., runoff) in the Bosten Lake Basin. Additionally, teleconnections of hydrological changes to large-scale circulation indices including El Nino Southern Oscillation (ENSO), Arctic Oscillation (AO), North Atlantic Oscillation (NAO), Tibetan High (XZH), westerly circulation index (WI), and northern hemisphere polar vortex area index (VPA) were analyzed in our study. The results showed the following. (1) Annual and se
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Wijaya, Thomas. "The Rainfall Variability at Gunung Kidul Regency, Indonesia and Farmer Knowledge on Climate Change." European Journal of Environment and Earth Sciences 4, no. 1 (2023): 62–68. http://dx.doi.org/10.24018/ejgeo.2023.4.1.372.

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The survey was carried out to analyze rainfall variability, to gather information of farmer practise on cropping pattern and farmer knowledge of climate change. The survey was conducted from on 21 September to 1 October 2022 in Ngoro oro and Watu Gajah sub villages, at Gunung Kidul Regency, about 30 km Southern of Yogyakarta city, Indonesia. Field visit and the group discussion were conducted to explore farmer knowledge on climate change. Rainfall was correlated with previous monthly Southern Oscillation Index to enabale rainfall prediction. The main finding of the survey were the farmers had
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Mulyanti, Heri. "Keterkaitan Antara El Niño-Southern Oscillation (ENSO) Dengan Variabilitas Curah Hujan Bojonegoro." Berkala Ilmiah Pertanian 6, no. 1 (2023): 35. http://dx.doi.org/10.19184/bip.v6i1.37221.

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Indonesian climate, especially Java Island have been associated with El Niño-Southern Oscillation (ENSO). The research using rainfall station at Bojonegoro District from 1979 – 2009 to detect rainfall variability and its linkages with ENSO phenomenom. ENSO’s indexes then used to predict rainfall in Bojonegoro. Rainfall station was clustered using cluster analysis and then Mann-Kendall test used to predict rainfall trend of each cluster. There are 16 rainfall station that passed the rainfall test that can be conduct in the rainfall anomaly analysis. All stations have experienced both dry and we
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Ziemke, J. R., S. Chandra, L. D. Oman, and P. K. Bhartia. "A new ENSO index derived from satellite measurements of column ozone." Atmospheric Chemistry and Physics 10, no. 8 (2010): 3711–21. http://dx.doi.org/10.5194/acp-10-3711-2010.

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Abstract. Column Ozone measured in tropical latitudes from Nimbus 7 total ozone mapping spectrometer (TOMS), Earth Probe TOMS, solar backscatter ultraviolet (SBUV), and Aura ozone monitoring instrument (OMI) are used to derive an El Nino-Southern Oscillation (ENSO) index. This index, which covers a time period from 1979 to the present, is defined as the "Ozone ENSO Index" (OEI) and is the first developed from atmospheric trace gas measurements. The OEI is constructed by first averaging monthly mean column ozone over two broad regions in the western and eastern Pacific and then taking their dif
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Zhang, Kexin, Jiajia Luo, Jiaoting Peng, Hongchang Zhang, Yan Ji, and Hong Wang. "Analysis of Extreme Temperature Variations on the Yunnan-Guizhou Plateau in Southwestern China over the Past 60 Years." Sustainability 14, no. 14 (2022): 8291. http://dx.doi.org/10.3390/su14148291.

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Analysis of variations in 12 extreme temperature indices at 68 meteorological stations on the Yunnan-Guizhou Plateau (YGP) in southwestern China during 1960–2019 revealed widespread significant changes in all temperature indices. The temperature of the hottest days and coldest nights show significantly increasing trends, and the frequencies of the warm days and nights also present similar trends. The temperature of the coldest night has a significant and strong warming trend (0.38 °C/decade), whereas the frequency of frost days shows the fastest decrease (1.5 days/decade). Increases in the sum
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Salman, Afan Galih, and Yen Lina Prasetio. "Implementasi Jaringan Syaraf Tiruan Recurrent Dengan Metode Pembelajaran Gradient Descent Adaptive Learning Rate Untuk Pendugaan Curah Hujan Berdasarkan Peubah Enso." ComTech: Computer, Mathematics and Engineering Applications 1, no. 2 (2010): 418. http://dx.doi.org/10.21512/comtech.v1i2.2384.

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The use of technology of technology Artificial Neural Network (ANN) in prediction of rainfall can be done using the learning approach. ANN prediction accuracy measured by the coefficient of determination (R2) and Root Mean Square Error (RMSE).This research employ a recurrent optimized heuristic Artificial Neural Network (ANN) Recurrent Elman gradient descent adaptive learning rate approach using El-Nino Southern Oscilation (ENSO) variable, namely Wind, Southern Oscillation Index (SOI), Sea Surface Temperatur (SST) dan Outgoing Long Wave Radiation (OLR) to forecast regional monthly rainfall. Th
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Salman, Afan Galih, and Yen Lina Prasetio. "Implementasi Jaringan Syaraf Tiruan Recurrent Menggunakan Gradient Descent Adaptive Learning Rate and Momentum Untuk Pendugaan Curah Hujan." ComTech: Computer, Mathematics and Engineering Applications 2, no. 1 (2011): 23. http://dx.doi.org/10.21512/comtech.v2i1.2707.

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The artificial neural network (ANN) technology in rainfall prediction can be done using the learning approach. The ANN prediction accuracy is measured by the determination coefficient (R2) and root mean square error (RMSE). This research implements Elman’s Recurrent ANN which is heuristically optimized based on el-nino southern oscilation (ENSO) variables: wind, southern oscillation index (SOI), sea surface temperatur (SST) dan outgoing long wave radiation (OLR) to forecast regional monthly rainfall in Bongan Bali. The heuristic learning optimization done is basically a performance development
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CHAN, J. Y. C., H. L. LIN, and L. W. TIAN. "Meteorological factors and El Nino Southern Oscillation are associated with paediatric varicella infections in Hong Kong, 2004–2010." Epidemiology and Infection 142, no. 7 (2013): 1384–92. http://dx.doi.org/10.1017/s0950268813002306.

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SUMMARYVaricella accounts for substantial morbidities and remains a public health issue worldwide, especially in children. Little is known about the effect of meteorological variables on varicella infection risk for children. This study described the epidemiology of paediatric varicella notifications in Hong Kong from 2004 to 2010, and explored the association between paediatric varicella notifications in children aged <18 years and various meteorological factors using a time-stratified case-crossover model, with adjustment of potential confounding factors. The analysis found that daily mea
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Liu, Haibo, Xiaogu Zheng, Jing Yuan, and Carsten S. Frederiksen. "Potential Predictability of Seasonal Global Precipitation Associated with ENSO and MJO." Atmosphere 14, no. 4 (2023): 695. http://dx.doi.org/10.3390/atmos14040695.

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A covariance decomposition method is applied to a monthly global precipitation dataset to decompose the interannual variability in the seasonal mean time series into an unpredictable component related to “weather noise” and to a potentially predictable component related to slowly varying boundary forcing and low-frequency internal dynamics. The “potential predictability” is then defined as the fraction of the total interannual variance accounted for by the latter component. In tropical oceans (30° E–0° W, 30° S–30° N), the consensus is that the El Nino-Southern Oscillation (ENSO, with 4–8 year
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