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Books on the topic 'ENSO [El Nino-Southern Oscillation]'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 March 2023

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1

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

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2

United States. National Weather Service. El Niño, La Niña, and ENSO. National Weather Service, 2006.

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3

United States. National Weather Service. El Niño, La Niña, and ENSO. National Weather Service, 2007.

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4

ENSO yu hai yang huan jing he Zhongguo qi hou yi chang. Ke xue chu ban she, 2013.

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5

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

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6

Hayashi, Michiya. A modeling study on coupling between westerly wind events and ENSO. Division of Climate System Research, Atmosphere and Ocean Research Institute, The University of Tokyo, 2018.

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7

Lluch-Cota, Daniel B. Empirical investigation on the relationship between climate and small pelagic global regimes and El Niño - Southern oscillation (ENSO). Food and Agriculture Organization of the United Nations, 1997.

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8

Japan. Kagaku Gijutsuchō. Kenkyū Kaihatsukyoku. Erunīnyo nanpō shindō no kikō kaimei to sono eikyō ni kansuru kenkyū: Heisei 6-nendo--Heisei 10-nendo : saishū seika hōkokusho = Dynamics and predictability of enso system (DPRES) : FY1994-FY1998 : final report. Kagaku Gijutsuchō Kenkyū Kaihatsukyoku, 2000.

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9

Japan. Kagaku Gijutsuchō. Kenkyū Kaihatsukyoku. Erunīnyo nanpō shindō no kikō kaimei to sono eikyō ni kansuru kenkyū: Heisei 9-nendo seika hōkokusho : Heisei 6-nendo--Heisei 10-nendo = Dynamics and predictability of enso system (DPRES) : annual report (April 1997-March 1998) : FY1994-FY1998. Kagaku Gijutsuchō Kenkyū Kaihatsukyoku, 1998.

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10

Japan. Kagaku Gijutsuchō. Kenkyū Kaihatsukyoku. Eru nīnyo nanpō shindō no kikō kaimei to sono eikyō ni kansuru kenkyū: Heisei 8-nendo seika hōkokusho : Heisei 6-nendo--Heisei 15-nendo = Dynamics and predictability of enso system (DPRES) : annual report, April 1996-March 1997 : FY1994-FY2003. Kagaku Gijutsuchō Kenkyū Kaihatsukyoku, 1997.

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11

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

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12

El Niño: Oscilación del sur : ENOS. Editorial de la Universidad Nacional, 1990.

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13

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

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14

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

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15

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

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16

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

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17

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

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18

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

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19

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

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20

National Research Council (U.S.). Advisory Panel for the Tropical Oceans and Global Atmosphere Program., ed. Learning to predict climate variations associated with El Niño and the southern oscillation: Accomplishments and legacies of the TOGA program. National Academy Press, 1996.

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21

El Niño Southern Oscillation (ENSO) effects on fisheries and aquaculture. FAO, 2020. http://dx.doi.org/10.4060/ca8348en.

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22

Costello, Christopher J. The value of improved ENSO forecasts: A stochastic bioeconomic model applied to the Pacific Northwest coho salmon fishery. 1996.

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23

Rekonstruksi El Nińo Southern Oscillation (ENSO) melalui pengkajian geokimia organik sedimen laut Arafura: Laporan hasil penelitian, hibah penelitian tim pascasarjana-HPTP (hibah pasca). Institut Teknologi Sepuluh Nopember, 2007.

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24

Kucharski, Fred, and Muhammad Adnan Abid. Interannual Variability of the Indian Monsoon and Its Link to ENSO. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.615.

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The interannual variability of Indian summer monsoon is probably one of the most intensively studied phenomena in the research area of climate variability. This is because even relatively small variations of about 10% to 20% from the mean rainfall may have dramatic consequences for regional agricultural production. Forecasting such variations months in advance could help agricultural planning substantially. Unfortunately, a perfect forecast of Indian monsoon variations, like any other regional climate variations, is impossible in a long-term prediction (that is, more than 2 weeks or so in adva

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25

News, World Spaceflight. El Niño and La Niña: Expert Guide to ENSO and the Southern Oscillation, Pacific Ocean Sea Surface Temperatures, Impacts to Global and American Climate, Research, Assessments. Progressive Management, 2006.

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26

US GOVERNMENT. 21st Century Complete Guide to El Niño and La Niña: ENSO and the Southern Oscillation, Pacific Ocean Sea Surface Temperatures, Impacts to Global and American Climate, Research, Assessments. Progressive Management, 2006.

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27

Dmowska, Renata, S. George Philander, and James R. Holton. Nino, la Nina, and the Southern Oscillation. Elsevier Science & Technology Books, 1989.

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28

Nash, David. Changes in Precipitation Over Southern Africa During Recent Centuries. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.539.

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Precipitation levels in southern Africa exhibit a marked east–west gradient and are characterized by strong seasonality and high interannual variability. Much of the mainland south of 15°S exhibits a semiarid to dry subhumid climate. More than 66 percent of rainfall in the extreme southwest of the subcontinent occurs between April and September. Rainfall in this region—termed the winter rainfall zone (WRZ)—is most commonly associated with the passage of midlatitude frontal systems embedded in the austral westerlies. In contrast, more than 66 percent of mean annual precipitation over much of th

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29

Rosenzweig, Cynthia, and Daniel Hillel. Climate Variability and the Global Harvest. Oxford University Press, 2008. http://dx.doi.org/10.1093/oso/9780195137637.001.0001.

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The Earth's climate is constantly changing. Some of the changes are progressive, while others fluctuate at various time scales. The El Niño-la Niña cycle is one such fluctuation that recurs every few years and has far-reaching impacts. It generally appears at least once per decade, but this may vary with our changing climate. The exact frequency, sequence, duration and intensity of El Niño's manifestations, as well as its effects and geographic distributions, are highly variable. The El Niño-la Niña cycle is particularly challenging to study due to its many interlinked phenomena that occur in

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30

(Editor), S. George Philander, James R. Holton (Series Editor), and Renata Dmowska (Series Editor), eds. El Nino, La Nina, and the Southern Oscillation, Volume 46 (International Geophysics). Academic Press, 1989.

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31

Clarke, Allan J. An Introduction to the Dynamics of El Nino & the Southern Oscillation. Academic Press, 2008.

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32

Clarke, Allan J. Introduction to the Dynamics of el Nino and the Southern Oscillation. Elsevier Science & Technology Books, 2008.

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33

(Editor), Henry Frank Diaz, and Vera Markgraf (Editor), eds. El Niño: Historical and Paleoclimatic Aspects of the Southern Oscillation. Cambridge University Press, 1993.

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34

Thompson, Lonnie G., and Alan L. Kolata. Twelfth Century AD. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199329199.003.0008.

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Climate is a fundamental and independent variable of human existence. Given that 50 percent of the Earth’s surface and much of its population exist between 30oN and 30oS, paleoenvironmental research in the Earth’s tropical regions is vital to our understanding of the world’s current and past climate change. Most of the solar energy that drives the climate system is absorbed in these regions. Paleoclimate records reveal that tropical processes, such as variations in the El Niño-Southern Oscillation (ENSO), have affected the climate over much of the planet. Climatic variations, particularly in p

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35

(Editor), S. George Philander, James R. Holton (Series Editor), and Renata Dmowska (Series Editor), eds. El Nino, La Nina, and the Southern Oscillation, Volume 46 (International Geophysics). Academic Press, 1989.

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36

Learning to Predict Climate Variations Associated with El Nino and the Southern Oscillation. National Academies Press, 1996. http://dx.doi.org/10.17226/5003.

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37

(Editor), Henry F. Diaz, and Vera Markgraf (Editor), eds. El Nino and the Southern Oscillation : Multiscale Variability and Global and Regional Impacts. Cambridge University Press, 2000.

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38

Partridge, Ian J. Will It Rain? - The Effects Of The Southern Oscillation and El Nino On Australia. Edited by Ian J. Partridge. DPI, 1994.

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39

Hameed, Saji N. The Indian Ocean Dipole. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.619.

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Discovered at the very end of the 20th century, the Indian Ocean Dipole (IOD) is a mode of natural climate variability that arises out of coupled ocean–atmosphere interaction in the Indian Ocean. It is associated with some of the largest changes of ocean–atmosphere state over the equatorial Indian Ocean on interannual time scales. IOD variability is prominent during the boreal summer and fall seasons, with its maximum intensity developing at the end of the boreal-fall season. Between the peaks of its negative and positive phases, IOD manifests a markedly zonal see-saw in anomalous sea surface

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40

Glantz, Michael H., Richard W. Katz, and Neville Nicholls. Teleconnections Linking Worldwide Climate Anomalies. Cambridge University Press, 2009.

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41

Advisory Panel for the Tropical Oceans and Global Atmosphere Program (TOGA Panel), Division on Earth and Life Studies, National Research Council, and Environment and Resources Commission on Geosciences. Learning to Predict Climate Variations Associated with el Nino and the Southern Oscillation: Accomplishments and Legacies of the TOGA Program. National Academies Press, 1996.

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42

Advisory Panel for the Tropical Oceans and Global Atmosphere Program (TOGA Panel), Division on Earth and Life Studies, National Research Council, and Environment and Resources Commission on Geosciences. Learning to Predict Climate Variations Associated with el Nino and the Southern Oscillation: Accomplishments and Legacies of the TOGA Program. National Academies Press, 1996.

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43

(US), National Research Council, and Advisory Panel for the Tropical Oceans and Global Atmosphere Program (TOGA Panel). Learning to Predict Climate Variations Associated with El Nino and the Southern Oscillation: Accomplishments and Legacies of the TOGA Program. National Academies Press, 1996.

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44

Advisory Panel for the Tropical Oceans and Global Atmosphere Program (TOGA Panel), Division on Earth and Life Studies, National Research Council, and Environment and Resources Commission on Geosciences. Learning to Predict Climate Variations Associated with el Nino and the Southern Oscillation: Accomplishments and Legacies of the TOGA Program. National Academies Press, 1996.

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45

Katz, Richard, Michael Glantz, and Maria Krenz. Climate Crisis: The Societal Impacts Associated With the 1982-83 Worldwide Climate Anomalies (Impact Series). United Nations Pubns, 1988.

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46

Trace gases in and over the west Pacific and east Indian Oceans during the El Nino-southern oscillation event of 1987: A report of GMCC data collected on the second Soviet-American Gas and Aerosol Experiment (SAGA II). Air Resources Laboratory, U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1988.

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