Underlying mechanisms leading to El Niño-to-La Niña transition are unchanged under global warming

2018 ◽  
Vol 52 (3-4) ◽  
pp. 1723-1738 ◽  
Author(s):  
Kyung-Sook Yun ◽  
Sang-Wook Yeh ◽  
Kyung-Ja Ha
2019 ◽  
Vol 53 (9-10) ◽  
pp. 5799-5813 ◽  
Author(s):  
Sajedeh Marjani ◽  
Omid Alizadeh-Choobari ◽  
Parviz Irannejad

2020 ◽  
Vol 2 (2) ◽  
pp. 130-144
Author(s):  
Putu Shantiawan ◽  
Putu Suwardike

Abstract. Climate change as a result of global warming creates climate uncertainty (anomaly) in the form of excessive drought (El-Nino) and excessive rain (La Nina) which greatly affects the productivity of rice plants. Under normal conditions. Indonesia's rice production will decline to 65 million tons in 2050. But due to climate change, the decline in rice production can be even more drastic to reach 90 million tons or down by 38 per cent. Rice plants need around 2,500 litres of water to produce 1 kg of grain (rough rice). This water is filled from rainwater and/or irrigation water. La Nina can interfere with the growth and yield of rice plants because the plants suffer damage due to limited air exchange, both in the form of carbon dioxide (CO2) and oxygen (O2) which inhibits the process of photosynthesis and plant respiration. The level of growth disturbance and yield of rice due to excess water depends on the tolerance level of the variety, the level of inundation and the length of time of inundation. Physiologically the adaptation of lowland rice plants to excess water is classified as complex. Plants that produce PDC and ADH are more tolerant of inundation. Molecularly, plants that contain the Sub1 gene are more resistant to excess water.Keywords: flooding, global warming, climate change, rice, food Abstrak. Perubahan iklim (climate change) sebagai dampak pemanasan global menimbulkan ketidakpastian (anomali) iklim berupa kekeringan yang berlebihan (El-Nino) dan hujan yang berlebihan (La Nina) yang sangat berpengaruh terhadap produktivitas tanaman padi. Dalam kondisi normal. produksi padi di Indonesia akan mengalami penurunan hingga 65 juta ton pada tahun 2050. Namun akibat perubahan iklim, penurunan produksi padi dapat lebih derastis hingga mencapai 90 juta ton atau turun hingga 38 persen. Tanaman padi membutuhkan sekitar 2.500 liter air untuk menghasilkan 1 kg butir gabah (rough rice). Air ini dipenuhi dari air hujan dan/atau air irigasi. La Nina dapat mengganggu pertumbuhan dan hasil tanaman padi karena tanaman mengalami kerusakanakibat terbatasnya pertukaran udara, baik berupa karbondioksida (CO2) maupun oksigen (O2) yang menghambat proses fotosintesis dan respirasi tanaman. Tingkat gangguan pertumbuhan dan hasil tanaman padi akibat kelebihan air tergantung pada tingkat toleransi varietas, tingkat genangan dan lama waktu terjadinya genangan.  Secara fisiologis adaptasi tanaman padi sawah terhadap kelebihan air tergolong kompleks. Tanaman yang menghasilkan PDC dan ADH lebih banyak lebih toleran terhadap genangan.  Secara molekuler, tanaman yang mengandung gen Sub1 lebih tahan terhadap kelebihan air.Katakunci: penggenangan, pemanasan global, perubahan iklim, padi, pangan


2009 ◽  
Vol 100 (3-4) ◽  
pp. 275-282 ◽  
Author(s):  
Jong-Seong Kug ◽  
Soon-Il An ◽  
Yoo-Geun Ham ◽  
In-Sik Kang

2020 ◽  
Vol 2 (2) ◽  
pp. 130-144
Author(s):  
Putu Shantiawan ◽  
Putu Suwardike

Abstract. Climate change as a result of global warming creates climate uncertainty (anomaly) in the form of excessive drought (El-Nino) and excessive rain (La Nina) which greatly affects the productivity of rice plants. Under normal conditions. Indonesia's rice production will decline to 65 million tons in 2050. But due to climate change, the decline in rice production can be even more drastic to reach 90 million tons or down by 38 per cent. Rice plants need around 2,500 litres of water to produce 1 kg of grain (rough rice). This water is filled from rainwater and/or irrigation water. La Nina can interfere with the growth and yield of rice plants because the plants suffer damage due to limited air exchange, both in the form of carbon dioxide (CO2) and oxygen (O2) which inhibits the process of photosynthesis and plant respiration. The level of growth disturbance and yield of rice due to excess water depends on the tolerance level of the variety, the level of inundation and the length of time of inundation. Physiologically the adaptation of lowland rice plants to excess water is classified as complex. Plants that produce PDC and ADH are more tolerant of inundation. Molecularly, plants that contain the Sub1 gene are more resistant to excess water.Keywords: flooding, global warming, climate change, rice, food Abstrak. Perubahan iklim (climate change) sebagai dampak pemanasan global menimbulkan ketidakpastian (anomali) iklim berupa kekeringan yang berlebihan (El-Nino) dan hujan yang berlebihan (La Nina) yang sangat berpengaruh terhadap produktivitas tanaman padi. Dalam kondisi normal. produksi padi di Indonesia akan mengalami penurunan hingga 65 juta ton pada tahun 2050. Namun akibat perubahan iklim, penurunan produksi padi dapat lebih derastis hingga mencapai 90 juta ton atau turun hingga 38 persen. Tanaman padi membutuhkan sekitar 2.500 liter air untuk menghasilkan 1 kg butir gabah (rough rice). Air ini dipenuhi dari air hujan dan/atau air irigasi. La Nina dapat mengganggu pertumbuhan dan hasil tanaman padi karena tanaman mengalami kerusakanakibat terbatasnya pertukaran udara, baik berupa karbondioksida (CO2) maupun oksigen (O2) yang menghambat proses fotosintesis dan respirasi tanaman. Tingkat gangguan pertumbuhan dan hasil tanaman padi akibat kelebihan air tergantung pada tingkat toleransi varietas, tingkat genangan dan lama waktu terjadinya genangan.  Secara fisiologis adaptasi tanaman padi sawah terhadap kelebihan air tergolong kompleks. Tanaman yang menghasilkan PDC dan ADH lebih banyak lebih toleran terhadap genangan.  Secara molekuler, tanaman yang mengandung gen Sub1 lebih tahan terhadap kelebihan air.Katakunci: penggenangan, pemanasan global, perubahan iklim, padi, pangan


2017 ◽  
Vol 30 (4) ◽  
pp. 1327-1343 ◽  
Author(s):  
Ping Huang ◽  
Dong Chen

Abstract El Niño–Southern Oscillation (ENSO) is one of the most important sources of climate interannual variability. A prominent characteristic of ENSO is the asymmetric, or so-called nonlinear, local rainfall response to El Niño (EN) and La Niña (LN), in which the maximum rainfall anomalies during EN are located farther east than those during LN. In this study, the changes in rainfall anomalies during EN and LN are examined based on the multimodel ensemble mean results of 32 CMIP5 models under the representative concentration pathway 8.5 (RCP8.5) scenario. It is found that robust EN–LN asymmetric changes in rainfall anomalies exist. The rainfall anomalies during EN and LN both shift eastward and intensify under global warming, but the eastward shift during EN is farther east than that during LN. A simplified moisture budget decomposition method is applied to study the mechanism of the asymmetric response. The results show that the robust increase in mean-state moisture can enlarge the EN–LN asymmetry of the rainfall anomalies, and the spatial relative changes in mean-state SST with an El Niño–like pattern can shift the rainfall anomalies farther east during EN than during LN, enlarging the difference in the zonal locations of the rainfall response to EN and LN. The role of the relative changes in mean-state SST can also be interpreted as follows: the decreased zonal gradient of mean-state SST due to El Niño–like warming leads to a larger EN–LN asymmetry of rainfall anomalies under a future warming climate.


2018 ◽  
Vol 5 (6) ◽  
pp. 810-812 ◽  
Author(s):  
Tao Lian ◽  
Dake Chen ◽  
Jun Ying ◽  
Ping Huang ◽  
Youmin Tang

2019 ◽  
Vol 3 ◽  
pp. 1219
Author(s):  
Oki Adrianto ◽  
Sudirman Sudirman ◽  
Suwandi Suwandi
Keyword(s):  
El Niño ◽  
El Nino ◽  
La Niña ◽  

Perekonomian Provinsi Nusa Tenggara Timur secara sektoral masih didominasi sektor pertanian.Tanaman jagung menjadi salah satu produksi tanaman pangan terbesar berdasarkan data dari Dinas Pertanian dan Perkebunan Provinsi Nusa Tenggara Timur tahun 2015. Peningkatan produksi pertanian dapat dilakukan melalui berbagai strategi adaptasi dan upaya penanganan bencana, salah satu upaya tersebut adalah dengan penyediaan informasi iklim terkait penentuan daerah-daerah rawan kekeringan. Tujuan dari penelitian ini adalah untuk mengetahui sebaran wilayah rawan kekeringan lahan jagung bulanan di Provinsi Nusa Tenggara Timur saat kondisi El Nino dan La Nina dengan periodeisasi bulanan januari hingga desember. Data yang digunakan dalam penelitian ini adalah data curah hujan rata rata bulanan di 19 pos hujan di Provinsi Nusa Tenggara Timur dan suhu udara rata-rata bulanan dihitung menggunakan pendekatan teori Brack dengan titik referensi Stasiun Klimatologi Lasiana Kupang. Periode dari masing-masing data yang digunakan adalah dari tahun 1991 dan 1997 digunakan sebagai tahun El Nino dan tahun 1999 dan 2010 digunakan sebagai tahun La Nina. Metode yang digunakan untuk menentukan tingkat rawan kekeringan dengan menggunakan pembobotan berdasarkan penjumlahan bobot tipe iklim Oldeman dan bobot ketersediaan air tanah. Hasil penelitian menunjukkan sebaran daerah kekeringan di Provinsi Nusa Tenggara Timurpada tahun el nino lebih luas dibandingkan tahun la nina.


2018 ◽  
Vol 1 ◽  
pp. e2018014
Author(s):  
Samya de Freitas MOREIRA ◽  
Cleiciane Silva da CONCEIÇÃO ◽  
Milla Cristina Santos da CRUZ ◽  
Antônio PEREIRA JÚNIOR
Keyword(s):  
El Niño ◽  
El Nino ◽  
La Niña ◽  

Agrometeoros ◽  
2020 ◽  
Vol 26 (2) ◽  
Author(s):  
Amanda Heemann Junges

Estudos locais de caraterização e variabilidade climática são fundamentais para geração de informações mais adaptadas às atividades agrícolas desenvolvidas em um município ou região. O objetivo desse trabalho foi caracterizar climaticamente e analisar a influência de eventos El Niño Oscilação Sul (ENOS) na série 1956-2015 de temperatura do ar de Veranópolis, RS. Para caracterização climática foram estabelecidas estatísticas descritivas das temperaturas do ar máximas, mínimas e médias mensais, estacional e anual na série e normal climatológica padrão 1961- 1990. Para identificação de diferenças entre estações e influência de eventos ENOS, os dados foram submetidos à análise de variância e teste de Duncan. Os resultados indicaram que a temperatura média anual é de 17,3ºC, variando entre 12,7ºC (julho) e 21,8ºC (janeiro). O clima é do tipo Cfb, de acordo com a classificação climática de Köppen e TE (temperado) na classificação climática do Estado. Temperaturas mínimas médias mensais inferiores a 10ºC ocorrem de maio a setembro, período de maior variabilidade interanual das temperaturas máximas (desvio padrão entre 1,5º e 1,8ºC), mínimas (1,6-1,8ºC) e médias mensais (1,4-1,7ºC). Anos de La Niña possuem temperaturas médias estacionais inferiores as de El Niño, embora diferenciação em relação a neutros ocorra somente para temperaturas mínimas na primavera e máximas no outono.


Agrometeoros ◽  
2018 ◽  
Vol 26 (1) ◽  
Author(s):  
Ronaldo Matzenauer ◽  
Bernadete Radin ◽  
Alberto Cargnelutti Filho

O objetivo deste trabalho foi avaliar a relação entre o fenômeno El Niño Oscilação Sul - ENOS e o rendimento de grãos de soja e de milho no Rio Grande do Sul e verificar a hipótese de que os eventos El Niño são favoráveis e os eventos La Niña são prejudiciais ao rendimento de grãos das culturas. Foram utilizados dados de rendimento de grãos dos anos agrícolas de 1974/75 a 2016/17, e relacionados com as ocorrências de eventos ENOS. Foram analisados os dados de rendimento observados na colheita e os dados estimados com a remoção da tendência tecnológica. Os resultados mostraram que não houve diferença significativa do rendimento médio de grãos de soja e de milho na comparação entre os eventos ENOS. Palavras-chave: El Niño, La Niña, safras agrícolas. Abstract – The objective of this work was to evaluate the relationship between the El Niño Southern Oscillation (ENSO) phenomenon with the grain yield of soybean and maize in Rio Grande do Sul state, Brazil and to verify the hypothesis that the El Niño events are favorable and the La Niña events are harmful to the culture’s grain yields. Were used data from the agricultural years of 1974/75 to 2016/17, and related to the occurrence of ENOS events. We analyzed income data observed at harvest and estimated data with technological tendency was removed. The results showed that there was no significant difference in the average yield of soybeans and corn in the comparison between events.


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