Climate extremes over the maritime continent and their associations with Madden-Jullian Oscillation

Sekaranom, Andung Bayu; Suarma, Utia; Nurjani, Emilya

doi:10.1088/1755-1315/451/1/012006

Cited by 7 publications

(5 citation statements)

References 32 publications

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“…In such conditions, the water budget will continuously decrease over time and the paddy fields will become unsuitable for supporting plant growth. It has been predicted that climate change may affect short-term and long-term climate variances [10,11]. As a result, there may be a longer dry season or rainy season, which will lead to devastating crop failures owing to severe droughts in the dry season.…”

Section: Introductionmentioning

confidence: 99%

Agricultural Climate Change Adaptation in Kebumen, Central Java, Indonesia

Sekaranom

Nurjani

Nucifera³

2021

Sustainability

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Productive agricultural areas in Kebumen, Central Java, Indonesia are potentially vulnerable to the adverse impacts of climate change. We surveyed small-scale farmers to assess climate change-related perceptions and adaptations in the agriculture sector. The majority of the respondents agreed that there were changes in climatological variables affecting their farming activities, especially in terms of precipitation and temperature. However, the results also revealed that only 13% of respondents believed that human activities play a significant role. Three forms of adaptations have been developed by the farmers, namely: (1) agricultural diversification, (2) agricultural intensification, and (3) socioeconomic adaptation. Changing crops to more climate-tolerant varieties was one of the most common agricultural diversification practices (implemented by 88% of farmers). Most of the farmers also tried to maintain agricultural productivity by adjusting a local planting calendar (implemented by 94% of farmers). The use of machinery to intensify farming practice was an uncommon strategy (implemented by only 30% of farmers) because of expensive maintenance and small cultivation areas. The results suggested the importance of increasing farmers’ knowledge and technological know-how related to climate change and its implications, developing effective adaptation and mitigation efforts, and constructing climate-resilient infrastructure in the agricultural sector.

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Section: Introductionmentioning

confidence: 99%

Agricultural Climate Change Adaptation in Kebumen, Central Java, Indonesia

Sekaranom

Nurjani

Nucifera³

2021

Sustainability

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“…This image is commonly used to observe sea surface temperature, soil surface temperature, and vegetation by assessing evaporation rates. The wide usage of MODIS LST has been implemented as an evaluation to determine the accuracy of the product using in-situ measurements [6].…”

Section: Introductionmentioning

confidence: 99%

Application of MODIS land surface temperature data on ENSO-based analysis in Kalimantan

Zahra

2023

IOP Conf. Ser.: Earth Environ. Sci.

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El Nino Southern Oscillation as climate anomaly has been impacted Land Surface Temperature (LST) in Indonesia. Higher temperature during El Nino has been considered to give more risk in fire hazards in Kalimantan, thus, analysis of spatial and temporal distribution of LST became crucial. This study aims to analyze the spatial and temporal distribution of land surface temperature in Kalimantan based on the ENSO phases from 2014 to 2020. MODIS MOD11A1 images and ONI index were used as analysis materials. Image processing was conducted by selecting pixels using the QC band and then processing the LST values using a scale using RStudio software. The result shows the distribution of higher LST values on the southern side of Kalimantan, influenced by low elevation, peat soil, and land use change. The temporal distribution shows a tendency for higher temperatures in the dry months of August to October, with an increase of 4.5 percent during El Nino and a decrease of 0.9 percent during La Nina from 2014 to 2020. This study could contribute to management and mitigation for fire risk in certain area and period as ENSO occurred in Kalimantan.

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“…There is a concern about the omission and/or overgeneralisation of information on the pre-wetting hydrological conditions at the locations of the landslide due to the sparsely distributed hydrological recording equipment (Uwihirwe et al, 2021). These pre-wetting conditions regulate the disposition of a slope to near failure (Bogaard and Greco, 2018;Sidle et al, 2019). Including this information in a LEWS may thus be a promising opportunity to decrease the rate of both false and missed alarms (Bogaard and Greco, 2018;Peres et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Including this information in a LEWS may thus be a promising opportunity to decrease the rate of both false and missed alarms (Bogaard and Greco, 2018;Peres et al, 2018). Similar to other hydrological variables, soil moisture exhibits high spatial variability particularly in tropical areas (Dewitte et al, 2021;Kirschbaum et al, 2012;Sekaranom et al, 2020). This spatial variability is hardly covered by on site monitoring equipment due to the sparse observation networks, themselves providing point scale observations only.…”

Section: Introductionmentioning

confidence: 99%

Potential of satellite-derived hydro-meteorological information for landslide hazard assessment thresholds in Rwanda

Uwihirwe

Riveros

Wanjala³

et al. 2022

Preprint

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Abstract. Satellite and hydrological model-based technologies provide estimates of rainfall and soil moisture over larger spatial scales and now cover multiple decades, sufficient to explore their value for the development of landslide early warning system in data scarce regions. In this study, we used statistical metrics to compare gauge-based to satellite-based precipitation products and assess their performance in landslide hazard assessment and warning in Rwanda. Similarly, the value of high resolution satellite and hydrological model-derived soil moisture was compared to in situ soil moisture observations at Rwanda weather station sites. Based on statistical indicators, the NASA GPM-based IMERG rainfall product showed the highest skill to reproduce the main spatiotemporal precipitation patterns at the studies sites in Rwanda. Similarly, the satellite and model-derived soil moisture time series broadly reproduce the most important trends of in situ soil moisture observations. We evaluated two categories of landslide meteorological triggering conditions from IMERG satellite precipitation. First, the maximum rainfall amount during a multiple day rainfall event. Second, the cumulative rainfall over the past few day(s). For each category, the antecedent soil moisture recorded at three levels of soil depth, top 5 cm by satellite-based technologies as well as top 50 cm and 2 m through modelling approaches, was included in the statistical models to assess its potential for landslide hazard assessment and warning capabilities. The results reveal the cumulative 3 day rainfall RD3 as the most effective predictor for landslide triggering. This was indicated not only by its highest discriminatory power to distinguish landslide from no landslide conditions (AUC ~0.72) but also the resulting true positive alarms TPR of ~80 %. The modelled antecedent soil moisture in the 50 cm root zone Seroot(t-3) was the most informative hydrological variable for landslide hazard assessment (AUC ~0.74 and TPR of 84 %). The hydro-meteorological threshold models that incorporate the Seroot(t-3) and RD3 following the cause–trigger concept in a bilinear framework reveal promising results with improved landslide warning capabilities in terms of reduced rate of false alarms by ~20 % at the expense of a minor reduction of true alarms by ~8 %.

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Climate extremes over the maritime continent and their associations with Madden-Jullian Oscillation

Cited by 7 publications

References 32 publications

Agricultural Climate Change Adaptation in Kebumen, Central Java, Indonesia

Agricultural Climate Change Adaptation in Kebumen, Central Java, Indonesia

Application of MODIS land surface temperature data on ENSO-based analysis in Kalimantan

Potential of satellite-derived hydro-meteorological information for landslide hazard assessment thresholds in Rwanda

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