Respective Influences of Indian Ocean Dipole and El Niño-Southern Oscillation on Indonesian Precipitation

Lestari, Deni Okta; Sutriyono, Edy; Sabaruddin, Sabaruddin; Iskandar, Iskhaq

doi:10.5614/j.math.fund.sci.2018.50.3.3

Cited by 38 publications

(23 citation statements)

References 16 publications

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“…Some investigators have listed the prevailing years of the positive or negative IOD phase (Meyers et al ., 2007; Lestari et al ., 2018; Pourasghar et al ., 2019). We used these provided lists and particularly the list obtained by the Australian Bureau of Meteorology (http://www.bom.gov.au/climate/iod/) to re‐generate Figure 3a,b for those days of the SWPP or SWWD that concur with the IOD negative phase (Figure S1a,b, Supporting Information).…”

Section: Resultsmentioning

confidence: 99%

Introducing new climate indices for identifying wet/dry spells within an Madden‐Julian Oscillation phase

Nazemosadat

Shahgholian

Ghaedamini

et al. 2020

Intl Journal of Climatology

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Daily values of precipitation in southwestern parts of Iran along with the corresponding Madden-Julian oscillation (MJO) phase are analysed to introduce some auxiliary indicators that can identify the wet and dry spells within a particular MJO phase. As a case study, the identification procedure focuses on phase 1 during the rainy season (Nov-Apr). The study shows that this phase contains two opposite spells, referred to as spells with pervasive precipitation (SWPP) and spells with widespread dryness (SWWD). Although the precipitation characteristics are essentially different between SWPP and SWWD, their associated MJO indices are found statistically identical. Therefore, the MJOprecipitation relationship fails to identify the wet/dry spells within an MJO phase. To resolve this deficiency, other climate indicators, which behave differently between these two spells, are introduced. The westward moisture flux over equatorial parts of the Indian Ocean and the northeastward moisture flux over the North African tropics are up to seven times stronger in the SWPP compared to SWWD. The dominance of a strong cyclonic (anticyclonic) circulation over the eastern side of the Mediterranean Sea and the negative (positive) west-east temperature gradient over southern parts of Iran are introduced as SWPP (SWWD) indicators. The study reveals that the SWPP (SWWD) coincides with a strong (weak) convection dipole that resembles the positive Indian Ocean dipole. The intensified (weakened) wind speed in the subtropical jet stream and persistence of the jet-exit-regions above Iran (Egypt and Saudi Arabia) are other SWPP (SWWD) indicators. Negative (positive) anomalies of sea surface temperature over the North Atlantic Ocean, the Black, Mediterranean, and Caspian Seas, as well as the Persian Gulf, signify the prevalence of the SWPP (SWWD). To the best of our knowledge, this is the first time that auxiliary indices are utilized to improve the MJO-precipitation relationship in southwestern Iran.

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Section: Resultsmentioning

confidence: 99%

Introducing new climate indices for identifying wet/dry spells within an Madden‐Julian Oscillation phase

Nazemosadat

Shahgholian

Ghaedamini

et al. 2020

Intl Journal of Climatology

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“…The cooling SST anomalies have led to strong divergence in low level winds that reduced atmospheric water evaporation. This eventually suppressed atmospheric convection allowing a decrease in precipitation in Indonesian region (Juneng & Tangang, 2005;Lestari et al, 2018). Figure 3 shows spatial distributions of the humidity, monthly precipitation, and hotspots during the dry season in 2006 and 2015, particularly from June to November.…”

Section: Resultsmentioning

confidence: 99%

Dynamical Link of Peat Fires in South Sumatra and the Climate Modes in the Indo-Pacific Region

Putra

Lestari

Sutriyono

et al. 2019

IJG

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Peat fire is one of the environmental disasters occurring widespread during the dry season in South Sumatra. The region has long been recognized to have extensive peatland, hence it is considered as the vulnerable areas to fire. This study employs spatial analysis to evaluate the likely linked factors causing peat fire in the study area. Two interannual climate modes such as the El Niño – Southern Oscillation and Indian Ocean Dipole were considered to have affected the area with respect to climate anomaly at the 1995-2016 periods. This phenomenon was followed by the peat fire in many areas. There appears a close linkage between the occurrence of peat fires and climate anomaly. A number of hotspots tend to occur annually during the drought season. A significant number of hotspots took place during the 2006 pIOD and 2015 El Niño events due to a significant decrease in rainfall intensities.

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“…Sementara fenomena La Nina terjadi pada tahun 1998, 2000, dan 2005. Dan fenomena IOD terjadi pada tahun1997, 2002, dan 2003(Lestari et al 2018. Dampak penurunan curah hujan signifikan ketika El Niño dan IOD positif terjadi secara bersamaan terjadi.…”

Section: Luas Karhutla Nat (Natural Forcing)unclassified

Pengaruh Faktor Alami dan Antropogenik Terhadap Luas Kebakaran Hutan dan Lahan di Kalimantan

Mareta¹,

Hidayat²,

Hidayati³

et al. 2020

J. Tanah dan Iklim

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Kebakaran hutan dan lahan (karhutla) di Indonesia khususnya di Kalimantan menjadi ancaman bagi pembangunan berkelanjutan karena efeknya secara langsung bagi ekosistem, berkontribusi pada peningkatan emisi karbon dan berdampak pada keanekaragaman hayati. Karhutla dipengaruhi oleh faktor alami dan faktor antropogenik oleh aktivitas manusia. Penelitian ini bertujuan untuk mendapatkan gambaran pengaruh faktor alami dan antropogenik secara terpisah terhadap luas kebakaran hutan dan lahan di Kalimantan. Pengaruh faktor alami dan antropogenik terhadap luas karhutla dianalisis dari data luaran model CMIP5 dengan teknik statistik Random Forests. Penelitian menggunakan data iklim dan data indeks karhutla. Data iklim terdiri dari variabel kelembaban relatif permukaan, suhu udara permukaan, dan curah hujan yang diperoleh dari luaran model MRI-CGCM3 CMIP5. Data indeks karhutla di Kalimantan diperoleh dari data Global Fire Emissions Database (GFED). Hasil analisis pada periode data tahun 1997 sampai dengan 2005 memperlihatkan karhutla terluas di Kalimantan terjadi pada tahun 1997 dan 2002. Variasi musiman historis luas karhutla di Kalimantan menunjukkan peningkatan pada bulan Juni, mencapai puncaknya pada bulan September dan mulai berkurang pada bulan November. Pada bulan Juni hingga Juli, faktor antropogenik bernilai positif yang berarti mengurangi kejadian kebakaran, sedangkan pada bulan Agustus hingga Oktober faktor antropogenik bernilai negatif, menyebabkan lebih banyak peristiwa karhutla.

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Respective Influences of Indian Ocean Dipole and El Niño-Southern Oscillation on Indonesian Precipitation

Cited by 38 publications

References 16 publications

Introducing new climate indices for identifying wet/dry spells within an Madden‐Julian Oscillation phase

Introducing new climate indices for identifying wet/dry spells within an Madden‐Julian Oscillation phase

Dynamical Link of Peat Fires in South Sumatra and the Climate Modes in the Indo-Pacific Region

Pengaruh Faktor Alami dan Antropogenik Terhadap Luas Kebakaran Hutan dan Lahan di Kalimantan

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