El Nino Events Research Articles

Bowen ratio and evapotranspiration dynamics of oil palm

Abstract. Asyura MF, June T, Salmayenti R. 2023. Bowen ratio and evapotranspiration dynamics of oil palm. Intl J Trop Drylands 7: 37-45. To optimize its biophysical processes, plant needs water and this requirement can be quantified as Evapotranspiration (ET). There are various methods for estimating ET from a vegetated surface, and Bowen ratio is one method commonly used for agricultural purposes. We use Bowen ratio method to estimate ET from oil palm (Elaeis guineensis Jacq.) plantation in PT. Perkebunan Nusantara VI, Batang Hari, Jambi Province, Indonesia for the period 2014-2015 using observed micrometeorology data and looked at the strength of micrometeorological components in influencing the daily and diurnal patterns, which include net radiation (Rnetto), heat fluxes (latent LE and sensible H), actual vapor pressure (ea), soil moisture (SM), wind speed (WS), air temperature (Ta), ground heat fluxes (G), and LE-H. We found that the daily pattern of Bowen ratio was strongly influenced by LE-H, LE, H, SM, shown by a correlation coefficient of -0.85, -0.75, 0.84, -0.58, respectively. The diurnal pattern of Bowen ratio was affected by ea with a correlation coefficient of -0.52, while daily ET was strongly influenced by Rnetto, LE-H, H, Bowen ratio with a correlation coefficient of 0.85, 0.95, -0.63, -0.75 respectively. WS, Ta, Rnetto, G, ea, RH and LE-H affected diurnal ET with a correlation coefficient of 0.72, 0.72, 0.96, 0.89, 0.51, -0.64 and 0.9, respectively. Within this period of 2014-2015 there were 7 months where rainfall was greater than ET (wet period December 2014 to April 2015, November 2015) and 5 months where rainfall was lower than ET (dry period May 2015 to October 2015). During this long dry period of 2015, caused by strong El Nino events, oil palms became vulnerable to drought.

Anomali Iklim El Nino dan La Nina di Indonesia pada 2013-2022

Climate anomaly phenomena are increasing in frequency and duration along with the occurance of global warming phenomena. El Nino and La Nina climate anomalies have a direct impact on agriculture. This study aims to analyze the occurrence of extreme climate phenomena El Nino and La Nina in 2012-2022 in Indonesia and their impact on rainfall in South Sumatera Province which is one of the centers of oil palm plantations. The research was conducted by identifying sea surface temperature (SST) anomalies in the Pacific Ocean and classifying them into El Nino and La Nina strength levels or normal conditions. Based on the sea surface temperature anomaly, it is known that Indonesia experienced strong El Nino events in 2014-2015 and weak El Nino in 2019. El Nino causes a prolonged dry season and decreases the amount of rainfall. The La Nina phenomenon occurs in 2020-2022 with weak to moderate strength. La Nina causes a prolonged rainy season and an increase in the amount of rainfall. Normal conditions occurred in 2013, 2016, 2017 and 2018 which were marked by sst anomalies of not more than +0.5°C and -0.5 °C. During normal conditions, South Sumatra Province has an annual rainfall of 2,500 mm, rainfall is evenly distributed throughout the year, and dry months are less than 3 months that suitable for oil palm cultivation. In the last 10 years, Indonesia has experienced the El Nino and La Nina climate anomalies with increasing frequency, duration, and level of strength.

The definitive cause of La Nina and El Nino events

Rather than being strictly random events, it has been proven that all La Ninas and El Ninos are caused by the increase or decrease of reflective SO2 aerosols in Earth’s atmosphere, from both volcanic eruptions and industrial activity. Although volcanic eruptions are random events, an eruption usually signifies a forthcoming La Nina/El Nino cycle, and thus can have some predictive value.

The increasing big gap of carbon sink between the western and eastern Pacific in the last three decades

The Pacific Ocean is one of the important carbon sink regions, and there is a significant west-east difference in sea-air CO2 flux. However, the influence of the long-standing greater CO2 uptakes in the western Pacific than in the east and the dynamic change of this west-east difference remain unclear. In this paper, using the gridded surface ocean pCO2 product constructed by the stepwise FFNN algorithm, we reported an increasing west-east CO2 flux difference from 0.41 PgC yr-1 in 1992 to 0.73 PgC yr-1 in 2020. This increase was mainly attributed to the strengthening western Pacific carbon sink and relatively stable eastern Pacific carbon source. During El Nino events, the west-east CO2 flux difference decreased significantly in a few years, and it then rose back rapidly when El Nino events ended. In addition, the increasing west-east difference in CO2 uptakes during the last three decades did not lead to a higher acidification speed in the western surface temperate Pacific than the east. The greater CO2 absorbed in the west was mainly transported to the deeper waters and caused a more significant carbon inventory change at 200-600 m than the eastern Pacific.

Analisis Musim Tanam dan Pengaturan Pola Tanam Tanaman Pangan pada Berbagai Kondisi Curah Hujan di Daerah Amahai Kabupaten Maluku Tengah

Cropping patterning is an farming practice to obtain maximum production taking into account climatic conditions, soil and types of crops cultivated. This research, which was carried out in the Amahai Region, aimed to: (i) describe extreme climate events and (ii) determine the growing season and cropping patterns of food crops based on the length of the growing season available in the region. The analytical methods used consisted of: (i) determining extreme rainfall based on BMKG standards and ENSO History data, (ii) determining the planting season using the FAO method, and determining cropping patterns in conditions of extreme rainfall. The results showed that a very extreme El Nino event caused a decrease in rainfall in the Amahai region by 1,444 mm or 54% of its normal condition, on whereas a very extreme La Nina event caused an increase in rainfall by 1,528 mm or 60% of its normal condition. The growing season in the Amahai region under conditions of average (normal) and La Nina rainfall is throughout the year (12 months), and under conditions of extreme El Nino rainfall, the growing season lasts for 8 months and 26 days, 96 days shorter than normal conditions. In conditions of extreme El Nino rainfall, the cropping patterns that can be applied are sequential, monoculture, and polyculture/ intercropping.

Bird Diversity in Ayer Hitam Utara Forest Reserve, Johor and Implications on Peat Swamp Forest Management Strategies

Ayer Hitam Utara Forest Reserve (AHUFR) is the largest and last existing peat swamp forest in Johor. Peat swamp forest are known to be very important as it serve as a home to variety of flora and fauna, especially the bird species. Other than that, peat swamp forest also prone to forest fire as it become the major threat in Ayer Hitam Utara Forest Reserve during a hot weather or drought (El Nino events). This problem will cause biodiversity loss and threaten bird’s habitat and behaviour since some birds are extremely susceptible to sudden environmental changes. Therefore, effective management need to be implemented on the peat swamp ecosystem in order to conserve the forest as well as the bird species that inhabit the area. Hence, this study was conducted to provide a preliminary checklist of the bird, while identify the threats faced by AHUFR in order to came out with the best management of peat swamp forest to protect the bird and the wildlife in it. The method used in this study are mist-netting, direct observation with the aid of DSLR camera, video camera, binocular, and spotter scope, sound recording and interview with forest ranger for four days. About 15 species was recorded, five species from direct observation and interview method, three species from sound recording, and two species from mist-netting method. From the data, one vulnerable (VU) and near threatened (NT) species was recorded which are Black Hornbill (Anthracoceros malayanus) (VU) and Fluffy-backed Tit-babbler (Macronus ptilosus) (NT) respectively. Both are native to peat swamp forest. In terms of threat, forest fire was identified as a common problem occurring in AHUFR. The bird diversity in AHUFR can be threatened by the forest fire if there are no action or management taken to by various parties as well as spreading the awareness among the communities according to this issue. Therefore, this study suggested few recommendations of best practices to manage peat swamp forest of AHUFR.

Variation of centennial precipitation patterns in Kuwait and their relation to climate change.

The impact of climate change couldbe inferred by observing long-term climate variables like temperature, precipitation, and evapotranspiration. A local study on the climatic factors such as temperature, precipitation, CO2 emissions, and population was carried out. The temperature records of the study period reflected an increase of 1.3°C, higher than the global average. The relationship between the climatic factors from statistical analysis inferred that local factors did not influence the precipitation in Kuwait but showed an interrelationship among temperature, CO2 emissions, and, population. Therefore, Kuwait's precipitation concerning regional atmospheric processes like sea surface temperature, volcanic eruption, wind direction, and El Nino and La Nina events were studied. The pragmatic change in wind direction in Kuwait from northwest to north after 2005 has enforced to study the effect of the volcanic eruption of Mount Etna on the precipitation in Kuwait. A marked correlation between the precipitation trends and post-eruptive periods of Mount Etna was observed. Similarly, El Nino and La Nina events were correlated, especially with the monthly temperature and total rainfall. Thus, the increase in sea surface temperature and volcanic events influenced the Hadley cell circulation and the shift of the Intertropical Convergence Zone, affecting the rain events in Kuwait.

Seasonal Evolution of Chlorophyll-a in the North Indian Ocean Associated with the Indian Ocean Dipole and Two Types of El Niño Events

To investigate the main modes of interannual variation of chlorophyll-a (Chla) with seasonal evolution and its variation cycle in the North Indian Ocean based on satellite-derived products during 1998–2016, a season-reliant empirical orthogonal function (S-EOF) analysis and power spectrum analysis based on Fourier transform are applied in the study. The first three dominate modes reveal distinct Chla variability, as the S-EOF1 features by one dipole pattern have a negative anomaly in the central western Indian Ocean and a positive anomaly off the Java–Sumatra coasts, which is mainly synchronously associated with the climate indices of the positive Indian Ocean dipole (IOD) and eastern Pacific El Nino (EP-El Niño). The S-EOF2 indicates a tripolar structure with positive anomalies located in the central Indian Ocean surrounded by two negative anomalies, which is one year behind a positive IOD and EP-El Niño event. The S-EOF3 exhibits a different dipole distribution, with a positive anomaly in the central west and a negative anomaly in the southeast, synchronized or lagging behind the central Pacific El Nino (CP-El Niño). Moreover, regarding the correlation between the main modes of interannual variation and the IOD and El Nino events, the dynamic parameters (such as SST, SLA, rain, and wind) of the tropical Indo-Pacific Ocean are discussed using time-delay correlation and linear regression analysis to explain the key factors and possible influencing mechanism of the joint seasonal and interannual variations of Chla in the northern Indian Ocean.

Estimation of Fluctuations and Global Tele-connections in the Monsoonal Rainfall and Associated Floods for Barmer District

Abstract: This paper is about the fluctuations and global teleconnections in the monsoonal rainfall and associated floods of Barmer district, Rajasthan, India. For investigation of precipitation and related floods, the precipitation information for period of 1901-2002 is collected from India Meteorological Department (IMD) for Barmer district. Inter-monsoon rainfall variability analysis, percent departure from mean, Normalized Accumulated Departure from Mean (NADM) and conditional probability technique for El Nino and Southern Oscillation (ENSO) have been used for the analyses of monsoonal rainfall data and its effect on floods. The outcomes demonstrate year to year varieties in the precipitation with huge takeoff from mean precipitation. It is seen that greater part of the floods are related with positive takeoff from mean precipitation. The NADM shows epochal conduct of high and low monsoon precipitation of the basin. For analysis of ENSO Sea Surface Temperature (SST) data is obtained from National Oceanic and Atmospheric Administration (NOAA) for years 1950-2019. It is observed that, during La Nina years the rainfall is higher than average annual rainfall. The analysis of ENSO reveals that the probability of the occurrence of the floods is high during cold (La Nina) events and it is very low during warm (El Nino) events. Keywords: Monsoon rainfall, Global Tele-connection, SST, ENSO effect, floods

Influences of different intensities of El Niño–Southern Oscillation on South American precipitation

AbstractEl Niño–Southern Oscillation (ENSO) phenomena occur in the equatorial Pacific and differentially affect the global climate. Recently, studies have begun to analyse the influence of ENSO intensity on the global climate, but how this intensity affects South American precipitation remains unclear. This work defined the ENSO intensities each season (versus annually, as is more commonly done) because understanding this seasonal intensity is essential for seasonal forecasting. The atmospheric patterns identified in this study showed that the stronger the sea surface temperature (SST) anomalies (SSTA) in the equatorial eastern Pacific were, the stronger the atmospheric responses. The known South American precipitation pattern occurred at all ENSO intensity categories but had different intensities. However, the most important patterns in this study differed from the main pattern. Central‐eastern South America did not have a notable precipitation pattern during all El Niño (EN) years, but there was a negative pattern of strong ENs. In addition, the intensity of the precipitation anomaly during weak EN and La Niña (LN), mainly in northeastern South America, was stronger in austral autumn than in austral summer because the intensity in a previous season can influence the current season's precipitation pattern and the total SST in autumn is stronger than that in summer. Asymmetries between EN and LN events are important to consider; EN tends to be more intense than LN, and deep convection anomalies during EN are displaced eastward relative to those during LN. In this study, categories were defined based on ENSO intensities, but asymmetries appeared in atmospheric patterns, mainly in omega patterns during strong events. The intensities of SSTAs over the equatorial eastern Pacific affected the intensities of the Walker circulation and Rossby waves and, consequently, the intensity of precipitation patterns in different South American regions.

Impact of climate change on the agriculture sector and its adaptation strategies

Climate change in Indonesia, including erratic rainfall intensity, extreme temperatures, El Nino and La Nina events, can cause farmers not to implement agricultural efforts optimally. Multiplier effect caused is the risk of decreased agricultural production and even crop failure that causes losses for farmers. The impact can broadly reduce farmers’ welfare, food security and increase poverty, for which most Indonesians livelihood as farmers. The negative consequences of climate change require efforts to minimize the impact and anticipate through adaptation strategies. These research aims are to analyze the impact of climate change on the agriculture sector and develop an adaptation strategy to address the impact of climate change on the agricultural sector. This method uses review literature related to the impact of climate change on agricultural products and adaptation strategies to climate change in the agricultural sector. The impact of climate change caused a decline in agricultural production and even crop failure. The main actors of climate change that affect the agricultural sector include rain patterns, extreme climate events (floods and droughts), and increased air temperatures. Recommendations for adaptation strategies are using superior plants, adjusting planting time and pattern, water management technology (rain harvesting and irrigation), and biotic environmental strategies.

Extended air pollution index (API) as tool of sustainable indicator in the air quality assessment: El-Nino events with climate change driven

The main purpose of this research is to detect the air quality changes with a shorter period of timescale over space that can improve and optimize the risk characterization and conjunctive air quality assessment. Air quality assessment could be based on a very large number of various indicators, including the physical parameter, chemical and biological namely sulphur dioxide (SO2), carbon monoxide (CO), particulate matter (PM), humidity, air pressure and temperature. Nevertheless, often it is not easy to interpret the results of the air quality status when numerous quality elements are analyzed since each parameter indicates different types of quality classes. Moreover, providing appropriate information on air quality to policymakers, including the public, can be challenging. Hence, with this research there is a need to interpret the results in a more simple way and realistic enough by producing one single number for better and more subjective classification on the air quality rather than using the concentrations-based. Therefore, the Air Pollution Index (API) application in this research will overcome this problem by providing a single score that characterizes the air quality and contamination in a more absolute way. In line with that also, the study could help to improve the existing methodology for air quality assessment in a more simplified way and better evaluation of the air quality status, thus can become an alternative way for analysis of changes in air quality, especially in the absence or limitations of the historical or baseline data for comparison, in response for a better and more sustainable indicator in air quality assessment and management. The research shows that the API values across the Regions were recorded largely higher when El-Nino events occurred during the southwest monsoon season with more than 50% frequency of unhealthy days to hazardous status were detected from the API assessment. HYSPLIT model also shows that the air mass has mostly passed through the biomass burning areas from the neighboring country. Hence, the extension application of API was established in this research with the purpose of strengthening the air quality management in Malaysia, and to maximize the usage of the API and at the same time to filling up the gap of the uncertainty on the overall air quality in Malaysia, especially in terms of combine effects of the air pollutants parameters.

Short-Term Variations in Water Temperature of the Antarctic Surface Layer

Against the background of global climate change, the warming water temperature of Antarctic surface water (<500 m) is worthy of study. Therefore, the purpose of this study was to investigate short-term variations in the water temperature of Antarctic surface water from January 2000 to December 2016, using offline coupled ocean models, i.e., the WAVEWATCH-III (WW3) model and the Stony Brook Parallel Ocean Model (sbPOM). The validation of the WW3-simulated significant wave height (SWH) against the measurements from the Jason-2 altimeter produced a root mean square error (RMSE) of 0.39 m with a 0.30-m bias. Moreover, the sbPOM-simulated water temperatures were compared with the collocated measurements from Argo buoys, yielding, and RMSE for water temperatures of less than 1.0 °C and a correlation coefficient (COR) of 0.92. The annual variation in the sbPOM-simulated water temperatures of the Antarctic surface water layer showed that the sea surface temperatures (SSTs) of the Pacific Ocean and Atlantic Ocean were greater than the SST of the Indian Ocean. Moreover, the SST rapidly increased to 2 °C in the Pacific Ocean in specific years due to El Nino and La Nina events. The vertical profile of the water temperature showed that the depth of the cool water in the Indian Ocean has decreased to 100 m since 2008, while the depth in the Pacific Ocean and Atlantic Ocean is about 200 m. It was also found that the seasonal variations in the water temperature at depths of 0 m, 50 m, and 100 m in the Pacific Ocean were more sensitive to El Nino events between January and June. However, it was revealed in this work that the increasing intensity of El Nino and La Nina events could reduce water warming in the Pacific Ocean.

The Role of El Nino Variability and Peatland in Burnt Area and Emitted Carbon in Forest Fire Modeling

This study was conducted to model fire occurrence within El Nino variability and peatland distribution. These climate and geographical factors have a significant impact on forest fires in tropical areas such as Indonesia. The re-analysis dataset from ECMWF was observed with respect to climate characteristics in Indonesian El Nino events. The INFERNO (INteractive Fire and Emission algoRithm for Natural envirOnments) was utilized to simulate fires over Borneo Island due to its capability to simulate large-scale fires with simplified parameters. There were some adjustments in this INFERNO model, especially for peat fire as peatland has a significant impact on fires. The first was the contribution of climate to the peat fire which is represented by long-term precipitation. The second was the combustion completeness of peat fire occurrence that is mainly affected by human-induced peat drainage. The result of the model shows that El Nino variability mainly affected peat fires but was unable to well simulate the above-ground fire. It increased the burnt area during strong El Nino but overestimated the fires during low/no El Nino season due to lack of peat fire ignition in the calculation. Moreover, as the model did not provide peat drainage simulation, it underestimated the carbon emission. This model has shown promising results by addressing key features in limited input data, but improving some simulations is necessary for regulating weak/no El Nino conditions and carbon combustion of peat fire.

Reassessment of peatland fires in Central Kalimantan

The El Niño–Southern Oscillation (ENSO) was used to explain fire occurrences in Indonesia’s peatlands until 2018. However, the severely spread of 2019 fires although there was no El Nino event (Niño 3.4=-0.04, neutral) in a year, urged us to reassess the peat fires using reliable data and scientific knowledge. Here, we did a series of reassessments of peatland fires in Central Kalimantan by using various data and knowledge about fire, including weather, groundwater levels (GWL), air pollutants, and other parameters related to fire. The reassessment is expected to help respond to peatland fires under rapid climate change. A recent study by the authors has shown the effectiveness of the use of the OLR-MC index as an alternative to ENSO and the peatland fire reassessment model (MODEL-0) based on groundwater level (GWL). As a result of reassessing the generation of various air pollutants from the 2002 fire using MODEL-0, we clearly showed that the air pollutants from the peat components increased rapidly with the onset of the deep peat fire. The findings obtained in this paper are expected to be useful in responding to peatland fires under climate change.

Janela ótima de semeadura da soja ajustada à variabilidade climática baseada em El Nino-Oscilação Sul utilizando-se modelagem agrometeorológica

ABSTRACT Determining the optimal sowing window (OSW) based on climate variability associated with El Nino-Southern Oscillation (ENSO) can provide valuable information for agricultural planning in the tropics. This study aimed to calibrate, evaluate and apply the CROPGRO-Soybean model for determining the OSW across the ENSO phases for soybean-producing areas in the Pará State, northern Brazil. First, the model was calibrated and evaluated using experimental data collected in the field, between 2006 and 2009. In this process, the model estimates showed a good agreement with the observed data for soybean phenology, growth and yield, demonstrating potential to simulate the crop yield in this part of the Amazon. After calibration, the model was used in the seasonal mode to simulate 18 planting dates, over 39 years and in three locations. The simulated yields were divided into three ENSO phases. The set of sowing dates that showed a high frequency (> 80 %) of yields above 3,500 kg ha−1 integrated the OSW for each location and ENSO phases. The OSW duration differed between locations and ENSO phases, varying more during La Nina than El Nino events. However, regardless of the location or ENSO phase, late sowing was more suitable, because, besides favoring a greater frequency of good climate conditions for the development, growth and high yields, it also favors a lower risk of rainfall during the harvest period.

Hubungan Curah Hujan dan Titik Panas (Hotspot) Kebakaran di Hutan Lindung Gambut (HLG) Londerang, Provinsi Jambi

Jambi is one of the provinces that has high risk of forest fires in Indonesia.HLG Londerang is one of the protected peatland forests in Jambi that burned greatly in 2015. Precipitation become one of the climate factor that is affecting fires risk. This research is aimed to analyse the correlation between precipitation pattern peatland fires in HLG Londerang on 2013-2016. This research used hotspot data, precipitation, SPI (Standardized Precipitation Index), SOI (Southern Oscillation Index), and SSTA (Sea Surface Temperature Anomalies). Simple correlation test is used to acsess the relation between each parameters. This research showed that SPI-1 values could represent precipitation. In 2015, a great number of hotspot may relate to the El Nino event indicated by high positive value of SSTA and low SOI. There is a negative and weak correlation between precipitation and hotspot. Rainfall and SPI-1 has a positive and strong correlation. Combination of precipitation, SOI and SSTA is showing highest correlation with hotspot than other parameters.
 Keywords: fire, hotspot, precipitation, SOI, SPI, SSTA

Hydrological drought variability and its teleconnections with climate indices

In this study, the spatial–temporal variability of hydrological drought in Meriç Basin, Turkey, has been examined, and its relationship with global climate oscillations has been explored. Prior to drought analysis, streamflow data gaps were filled, and series homogeneity was examined. The standardized streamflow index (SSFI) was used to detect drought periods from monthly streamflow data of nine stations well spread over the study area. The hydrological drought intensity, magnitude, and duration were investigated using the SSFI time series. The drought variability was assessed by performing trend analysis and wavelet transforms. Trend analysis showed an increase in drought events in the Northern region and a decrease in the Southern region of the basin. Wavelet analysis reveals that the 4–10 year scales explicate the drought series pattern. The identification of climate patterns that are most associated with drought variability is performed via correlation analysis. The investigation showed that distinct climate patterns simultaneously influence drought events. Significantly, the influence of El Nino Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), and Atlantic Multidecadal Oscillation (AMO) is notable. The analysis demonstrated a remarkable correlation between ENSO and SSFI series at the interannual scale (2–8 years). The obtained phase difference suggests that the maximum dry (wet) conditions coincide with La Nina (El Nino) events. In addition, positive NAO phases and negative AMO phases lead to drought occurrence.

Isolated Effects of Indian Ocean Basin-Wide and El Niño–Southern Oscillation on Austral Winter Rainfall over South America

Contrasting effects of the tropical Indian and Pacific Oceans on the atmospheric circulation and rainfall interannual variations over South America during southern winter are assessed considering the effects of the warm Indian Ocean basin-wide (IOBW) and El Niño (EN) events, and of the cold IOBW and La Niña events, which are represented by sea surface temperature-based indices. Analyses are undertaken using total and partial correlations. When the effects of the two warm events are isolated from each other, the contrasts between the associated rainfall anomalies in most of South America become accentuated. In particular, EN relates to anomalous wet conditions, and the warm IOBW event to opposite conditions in extensive areas of the 5° S–25° S band. These effects in the 5° S–15° S sector are due to the anomalous regional Hadley cells, with rising motions in this band for the EN and sinking motions for the warm IOBW event. Meanwhile, in subtropical South America, the opposite effects of the EN and warm IOBW seem to be due to the presence of anomalous anticyclone and cyclone and associated moisture transport, respectively. These opposite effects of the warm IOBW and EN events on the rainfall in part of central South America might explain the weak rainfall relation in this region to the El Niño–Southern Oscillation (ENSO). Our results emphasize the important role of the tropical Indian Ocean in the South American climate and environment during southern winter.

Investigating El Nino Southern Oscillation as the main driver of forest fire in Kalimantan

Strong El Nino events have been identified as major factors contributing to the forest fire in Indonesia. This is due to El Nino Southern Oscillation (ENSO) variability has a distinct connection with tropical precipitation, mainly in Indonesia. El Nino years are typically drier, while La Nina events generally increase precipitation in Indonesia. Although very strong El Nino events have been connected with massive forest fires, fire continue to occur during the other phases of ENSO: La Nina and normal. Here, the research reports a time series of monthly counted fires in Kalimantan between the period 2001-2020 from MODIS fire hotspot and MODIS Burned Area products. The region is divided into three categories, Primary Intact Forest, Primary Degraded Forest and Outside Forest/ Deforested area. This categorization validates the location of the fire. Our results show that in general wildfires in Kalimantan follow a similar temporal pattern with Oceanic Nino Index (ONI), with several anomalies. If ONI is high, wildfires are more intense and vice versa. The wildfire appears almost every month and increases drastically in June-October of El Nino years. However, the proportion of wildfires in Primary Intact Forest are tiny and insignificant. The primary intact forest fire only appears in July-October and have a different pattern with wildfires in general. In conclusion, wildfires are highly correlated with El Nino but limited in primary intact forests. The fires dominantly appear in the deforested area, about 80%. The rest 20% are in degraded forest and only less than 1% in primary intact forest. Keywords: Deforested, degraded forest, ENSO, forest fire, ONI, primary intact forest