Indian Ocean Dipole

Water temperatures around the Mentawai Islands dropped about 4° Celsius during the height of a positive phase of the Indian Ocean Dipole in November 1997. During these events unusually strong winds from the east push warm surface water towards Africa, allowing cold water to upwell along the Sumatran coast. In this image blue areas are colder than normal, while red areas are warmer than normal.

The Indian Ocean Dipole (IOD), also known as the Indian Niño, is an irregular oscillation of sea surface temperatures in which the western Indian Ocean becomes alternately warmer (positive phase) and then colder (negative phase) than the eastern part of the ocean.

PhenomenonEdit

The IOD involves an aperiodic oscillation of sea-surface temperatures (SST), between "positive", "neutral" and "negative" phases. A positive phase sees greater-than-average sea-surface temperatures and greater precipitation in the western Indian Ocean region,[dubious ] with a corresponding cooling of waters in the eastern Indian Ocean—which tends to cause droughts in adjacent land areas of Indonesia and Australia. The negative phase of the IOD brings about the opposite conditions, with warmer water and greater precipitation in the eastern Indian Ocean, and cooler and drier conditions in the west.

The IOD also affects the strength of monsoons over the Indian subcontinent. A significant positive IOD occurred in 1997–98, with another in 2006. The IOD is one aspect of the general cycle of global climate, interacting with similar phenomena like the El Niño-Southern Oscillation (ENSO) in the Pacific Ocean.

The IOD phenomenon was first identified by climate researchers in 1999.[1][2]

An average of four each positive-negative IOD events occur during each 30-year period with each event lasting around six months. However, there have been 12 positive IODs since 1980 and no negative events from 1992 until a strong negative event in late 2010. The occurrence of consecutive positive IOD events is extremely rare with only two such events recorded, 1913–1914 and the three consecutive events from 2006 to 2008 which preceded the Black Saturday bushfires. Modelling suggests that consecutive positive events could be expected to occur twice over a 1,000-year period. The positive IOD in 2007 evolved together with La Niña, which is a very rare phenomenon that has happened only once in the available historical records (in 1967).[3][4][5][6] A strong negative IOD developed in October 2010,[7] which, coupled with a strong and concurrent La Niña, caused the 2010–2011 Queensland floods and the 2011 Victorian floods.

In 2008, Nerilie Abram used coral records from the eastern and western Indian Ocean to construct a coral Dipole Mode Index extending back to 1846 AD.[8] This extended perspective on IOD behaviour suggested that positive IOD events increased in strength and frequency during the 20th century.[9]

Effect on Southeast Asian and Australian droughtsEdit

A positive IOD is associated with droughts in Southeast Asia[10],[11] and Australia. Extreme positive-IOD events are expected.[12]

A 2009 study by Ummenhofer et al. at the University of New South Wales (UNSW) Climate Change Research Centre has demonstrated a significant correlation between the IOD and drought in the southern half of Australia, in particular the south-east. Every major southern drought since 1889 has coincided with positive-neutral IOD fluctuations including the 1895–1902, 1937–1945 and the 1995–2009 droughts.[13]

The research shows that when the IOD is in its negative phase, with cool western Indian Ocean water and warm water off northwest Australia (Timor Sea), winds are generated that pick up moisture from the ocean and then sweep down towards southern Australia to deliver higher rainfall. In the IOD-positive phase, the pattern of ocean temperatures is reversed, weakening the winds and reducing the amount of moisture picked up and transported across Australia. The consequence is that rainfall in the south-east is well below average during periods of a positive IOD.

The study also shows that the IOD has a much more significant effect on the rainfall patterns in south-east Australia than the El Niño-Southern Oscillation (ENSO) in the Pacific Ocean as already shown in several recent studies.[14][15][16]

Effect on rainfall across East AfricaEdit

A positive IOD is linked to higher than average rainfall during the East African Short Rains (EASR) between October and December.[17] Higher rainfall during the EASR are associated with warm SST in the western Indian Ocean and low level westerlies across the equatorial region of the ocean which brings moisture over the East Africa region.[18]

The increased rainfall associated with a positive IOD has been found to result in increased flooding over East Africa during the EASR period. During a particularly strong positive IOD at the end of 2019, average rainfall over East Africa was 300% higher than normal.[19] This higher than average rainfall has resulted in a high prevalence of flooding in the countries of Djibouti, Ethiopia, Kenya, Uganda, Tanzania, Somalia and South Sudan.[20] Torrential rainfall and increased risk of landslides over the region during this period often results in widespread destruction and loss of life.[21][22][23][24]

It is expected that the Western Indian ocean will warm at accelerated rates due to climate change [25][26] leading to an increasing occurrence of positive IODs.[27] This is likely to result in the increasing intensity of rainfall during the short rain period over East Africa. [28]

Effect on El NiñoEdit

A 2018 study by Hameed et al. at the University of Aizu simulated the impact of a positive IOD event on Pacific surface wind and SST variations.[29] They show that IOD-induced surface wind anomalies can produce El Nino-like SST anomalies, with the IOD's impact on SST being the strongest in the far-eastern Pacific. They further demonstrated that IOD-ENSO interaction is a key for the generation of Super El Ninos.[30]

2020 IOD positive cycleEdit

IOD is related to multiple cyclones that have ravaged East Africa in 2019 killing thousands aided by warmer than normal waters offshore (starting with Cyclone Idai and continuing on to the 2019–20 South-West Indian Ocean cyclone season), Australian drought & bushfires (convective IOD cycle brings dry air down on Australia), 2020 Jakarta floods (convective IOD cycle prevents moist air near tropics from going south to Australia, concentrating it), and more recently East Africa's mega locust swarms (via number of supportive weather factors).

See alsoEdit

ReferencesEdit

  1. ^ Saji et al. 1999
  2. ^ Webster, P.J.; Moore, A.M:Loschnigg, J.P., Leben, R.P. (1999). "Coupled ocean–atmosphere dynamics in the Indian Ocean during 1997–98". Letters to Nature. 401 (6751): 356–360. Bibcode:1999Natur.401..356W. doi:10.1038/43848. PMID 16862107.CS1 maint: multiple names: authors list (link)
  3. ^ Cai W, Pan A, Roemmich D, Cowan T, Guo X (2009). "Argo profiles a rare occurrence of three consecutive positive Indian Ocean Dipole events, 2006–2008". Geophysical Research Letters. 36 (8): L037038. Bibcode:2009GeoRL..36.8701C. doi:10.1029/2008GL037038.
  4. ^ Cooper, Dani (March 25, 2009). "Bushfire origins lie in Indian Ocean". Australian Broadcasting Corporation. Retrieved December 22, 2009.
  5. ^ Perry, Michael (February 5, 2009). "Indian Ocean linked to Australian droughts". Reuters. Retrieved December 22, 2009.
  6. ^ Rosebro, Jack (February 12, 2009). "Australi Reels From Split Weather System". Green Car Congress. Retrieved December 22, 2009.
  7. ^ "Seasonal Prediction: ENSO forecast, Indian Ocean forecast, Regional forecast". Low-latitude Climate Prediction Research. JAMSTEC.
  8. ^ "Coral Dipole Mode Index, World Data Center for Paleoclimatology".
  9. ^ Abram, Nerilie J.; Gagan, Michael K.; Cole, Julia E.; Hantoro, Wahyoe S.; Mudelsee, Manfred (16 November 2008). "Recent intensification of tropical climate variability in the Indian Ocean". Nature Geoscience. 1 (12): 849–853. Bibcode:2008NatGe...1..849A. doi:10.1038/ngeo357.
  10. ^ Tan, Audrey (2019-08-22). "Dry spell likely caused by climate phenomenon". The New Paper. Retrieved 2019-09-12.
  11. ^ Tan, Audrey (2019-08-22). "Dry spell in Singapore likely to last several months". The Straits Times. Retrieved 2019-09-12.
  12. ^ Cai, Wenju; Santoso, Agus; Wang, Guojian; Weller, Evan; Wu, Lixin; Ashok, Karumuri; Masumoto, Yukio; Yamagata, Toshio (2014). "Increased frequency of extreme Indian Ocean Dipole events due to greenhouse warming". Nature. 510 (7504): 254. Bibcode:2014Natur.510..254C. doi:10.1038/nature13327.
  13. ^ Ummenhofer, Caroline C. (February 2009). "What causes southeast Australia's worst droughts?". Geophysical Research Letters. 36 (4): L04706. Bibcode:2009GeoRL..36.4706U. doi:10.1029/2008GL036801.
  14. ^ Behera, Swadhin K.; Yamagata, Toshio (2003). "Influence of the Indian Ocean Dipole on the Southern Oscillation". Journal of the Meteorological Society of Japan. 81 (1): 169–177. doi:10.2151/jmsj.81.169.
  15. ^ Annamalai, H.; Xie, S.-P.; McCreary, J.-P.; Murtugudde, R. (2005). "Impact of Indian Ocean sea surface temperature on developing El Niño". Journal of Climate. 18 (2): 302–319. Bibcode:2005JCli...18..302A. doi:10.1175/JCLI-3268.1.
  16. ^ Izumo, T.; Vialard, J.; Lengaigne, M.; de Boyer Montegut, C.; Behera, S.K.; Luo, J.-J.; Cravatte, S.; Masson, S.; Yamagata, T. (2010). "Influence of the state of the Indian Ocean Dipole on the following year's El Niño" (PDF). Nature Geoscience. 3 (3): 168–172. Bibcode:2010NatGe...3..168I. doi:10.1038/NGEO760.
  17. ^ Hirons, Linda; Turner, Andrew (August 2018). "The Impact of Indian Ocean Mean-State Biases in Climate Models on the Representation of the East African Short Rains". Journal of Climate. 31 (16): 6611–6631. doi:10.1175/JCLI-D-17-0804.1. ISSN 0894-8755.
  18. ^ Hirons, Linda; Turner, Andrew (August 2018). "The Impact of Indian Ocean Mean-State Biases in Climate Models on the Representation of the East African Short Rains". Journal of Climate. 31 (16): 6611–6631. doi:10.1175/JCLI-D-17-0804.1. ISSN 0894-8755.
  19. ^ "East Africa Food Security Outlook: High food assistance needs persist, but food security in the Horn is likely to improve in 2020, November 2019 - South Sudan". ReliefWeb. Retrieved 2020-01-10.
  20. ^ "The climate phenomenon linking floods and bushfires". 2019-12-07. Retrieved 2020-01-10.
  21. ^ "Flooding in western Uganda kills more than a dozen". www.aljazeera.com. Retrieved 2020-01-10.
  22. ^ "Risk of more flooding and landslides as rains batter East Africa". www.aljazeera.com. Retrieved 2020-01-10.
  23. ^ "Kenya floods: More rain expected in region". www.aljazeera.com. Retrieved 2020-01-10.
  24. ^ "East Africa floods". BBC News. Retrieved 2020-01-10.
  25. ^ Chu, Jung-Eun; Ha, Kyung-Ja; Lee, June-Yi; Wang, Bin; Kim, Byeong-Hee; Chung, Chul Eddy (2014-07-01). "Future change of the Indian Ocean basin-wide and dipole modes in the CMIP5". Climate Dynamics. 43 (1): 535–551. doi:10.1007/s00382-013-2002-7. ISSN 1432-0894.
  26. ^ Zheng, Xiao-Tong; Xie, Shang-Ping; Du, Yan; Liu, Lin; Huang, Gang; Liu, Qinyu (2013-03-01). "Indian Ocean Dipole Response to Global Warming in the CMIP5 Multimodel Ensemble". Journal of Climate. 26 (16): 6067–6080. doi:10.1175/JCLI-D-12-00638.1. ISSN 0894-8755.
  27. ^ Cai, Wenju; Wang, Guojian; Gan, Bolan; Wu, Lixin; Santoso, Agus; Lin, Xiaopei; Chen, Zhaohui; Jia, Fan; Yamagata, Toshio (2018-04-12). "Stabilised frequency of extreme positive Indian Ocean Dipole under 1.5 °C warming". Nature Communications. 9 (1): 1–8. doi:10.1038/s41467-018-03789-6. ISSN 2041-1723. PMC 5897553. PMID 29650992.
  28. ^ Kendon, Elizabeth J.; Stratton, Rachel A.; Tucker, Simon; Marsham, John H.; Berthou, Ségolène; Rowell, David P.; Senior, Catherine A. (2019-04-23). "Enhanced future changes in wet and dry extremes over Africa at convection-permitting scale". Nature Communications. 10 (1): 1–14. doi:10.1038/s41467-019-09776-9. ISSN 2041-1723. PMC 6478940. PMID 31015416.
  29. ^ Hameed, Saji N.; Jin, Dachao; Thilakan, Vishnu (2018-06-28). "A model for super El Niños". Nature Communications. 9 (1): 2528. Bibcode:2018NatCo...9.2528H. doi:10.1038/s41467-018-04803-7. ISSN 2041-1723. PMC 6023905. PMID 29955048.
  30. ^ Hong, Li-Ciao; LinHo; Jin, Fei-Fei (2014-03-24). "A Southern Hemisphere booster of super El Niño". Geophysical Research Letters. 41 (6): 2142–2149. Bibcode:2014GeoRL..41.2142H. doi:10.1002/2014gl059370. ISSN 0094-8276.

Further readingEdit

External linksEdit