Articles | Volume 15, issue 3
https://doi.org/10.5194/nhess-15-429-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-15-429-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Mar 2015
Research article |
| 06 Mar 2015
Seasonal forecasting of fire over Kalimantan, Indonesia
A. C. Spessa
CORRESPONDING AUTHOR
Department Atmospheric Chemistry, Max Planck Institute for Chemistry, Mainz, Germany
Department Environment, Earth & Ecosystems, Open University, Milton Keynes, UK
R. D. Field
Department Applied Physics & Applied Mathematics, Columbia University, New York, USA
NASA Goddard Institute for Space Studies, New York, USA
F. Pappenberger
European Centre for Medium-Range Weather Forecasts, Reading, UK
School of Geographical Sciences, University of Bristol, Bristol, UK
College of Hydrology and Water Resources, Hohai University, Nanjing, China
A. Langner
Forest Resources & Climate Unit, Institute for Environment & Sustainability, EC-Joint Research Centre, Ispra, Italy
S. Englhart
Remote Sensing Solutions GmbH, Munich, Germany
Department Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
T. Stockdale
European Centre for Medium-Range Weather Forecasts, Reading, UK
F. Siegert
Remote Sensing Solutions GmbH, Munich, Germany
GeoBio Center, Ludwigs-Maximilians-University, Munich, Germany
J. W. Kaiser
European Centre for Medium-Range Weather Forecasts, Reading, UK
Department Atmospheric Chemistry, Max Planck Institute for Chemistry, Mainz, Germany
Department of Geography, King's College London, London, UK
J. Moore
College of Engineering, Mathematics & Physical Sciences, Exeter University, Exeter, UK
Viewed
Total article views: 6,312 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Aug 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,321 | 2,728 | 263 | 6,312 | 253 | 312 |
- HTML: 3,321
- PDF: 2,728
- XML: 263
- Total: 6,312
- BibTeX: 253
- EndNote: 312
Total article views: 5,273 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Mar 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,769 | 2,266 | 238 | 5,273 | 239 | 300 |
- HTML: 2,769
- PDF: 2,266
- XML: 238
- Total: 5,273
- BibTeX: 239
- EndNote: 300
Total article views: 1,039 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Aug 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 552 | 462 | 25 | 1,039 | 14 | 12 |
- HTML: 552
- PDF: 462
- XML: 25
- Total: 1,039
- BibTeX: 14
- EndNote: 12
Cited
54 citations as recorded by crossref.
- Skilful forecasting of global fire activity using seasonal climate predictions M. Turco et al. https://doi.org/10.1038/s41467-018-05250-0
- Near-complete loss of fire-resistant primary tropical forest cover in Sumatra and Kalimantan T. Nikonovas et al. https://doi.org/10.1038/s43247-020-00069-4
- The analysis of fire hotspot distribution in Kalimantan and its relation- ship with ENSO phases R. Zahra et al. https://doi.org/10.14746/quageo-2023-0006
- Forecasting Global Fire Emissions on Subseasonal to Seasonal (S2S) Time Scales Y. Chen et al. https://doi.org/10.1029/2019MS001955
- A pan-tropical cascade of fire driven by El Niño/Southern Oscillation Y. Chen et al. https://doi.org/10.1038/s41558-017-0014-8
- A statistical approach to analyze and forecast the dynamics of active fire in the Brazilian legal Amazon Y. Campos Miranda et al. https://doi.org/10.1080/23737484.2024.2318847
- Enhancing seasonal fire predictions with hybrid dynamical and random forest models M. Torres-Vázquez et al. https://doi.org/10.1038/s44304-025-00069-4
- Spatial variations in vegetation fires and emissions in South and Southeast Asia during COVID-19 and pre-pandemic K. Vadrevu et al. https://doi.org/10.1038/s41598-022-22834-5
- Long‐Lead Prediction of the 2015 Fire and Haze Episode in Indonesia D. Shawki et al. https://doi.org/10.1002/2017GL073660
- Spatial evaluation of Indonesia's 2015 fire‐affected area and estimated carbon emissions using Sentinel‐1 S. Lohberger et al. https://doi.org/10.1111/gcb.13841
- Detection and Characterization of Low Temperature Peat Fires during the 2015 Fire Catastrophe in Indonesia Using a New High-Sensitivity Fire Monitoring Satellite Sensor (FireBird) E. Atwood et al. https://doi.org/10.1371/journal.pone.0159410
- ProbFire: a probabilistic fire early warning system for Indonesia T. Nikonovas et al. https://doi.org/10.5194/nhess-22-303-2022
- Power law scaling reveals systemic divergence in fire risk across South and Southeast Asian countries K. Vadrevu https://doi.org/10.1088/1748-9326/ae962a
- Modelling and analysis impact of El Nino and IOD to land and forest fire using polynomial and generalized logistic function: cases study in South Sumatra and Kalimantan, Indonesia S. Nurdiati et al. https://doi.org/10.1007/s40808-021-01303-4
- Declining severe fire activity on managed lands in Equatorial Asia S. Sloan et al. https://doi.org/10.1038/s43247-022-00522-6
- Perspective: Improving the accuracy of plant phenology observations and land-cover and land-use detection by optical satellite remote-sensing in the Asian tropics N. Shin et al. https://doi.org/10.3389/ffgc.2023.1106723
- Tropical forest and peatland conservation in Indonesia: Challenges and directions M. Harrison et al. https://doi.org/10.1002/pan3.10060
- Important meteorological predictors for long-range wildfires in China F. Zhao & Y. Liu https://doi.org/10.1016/j.foreco.2021.119638
- Improving Forecasts of Biomass Burning Emissions with the Fire Weather Index F. Di Giuseppe et al. https://doi.org/10.1175/JAMC-D-16-0405.1
- Seasonal predictions of Fire Weather Index: Paving the way for their operational applicability in Mediterranean Europe J. Bedia et al. https://doi.org/10.1016/j.cliser.2017.04.001
- The WMO vegetation fire and smoke pollution warning advisory and assessment system (VFSP-WAS) A. Baklanov et al. https://doi.org/10.37002/biobrasil.v11i2.1738
- Global seasonal prediction of fire danger F. Di Giuseppe et al. https://doi.org/10.1038/s41597-024-02948-3
- Quantifying causal teleconnections to drought and fire risks in Indonesian Borneo T. Lam et al. https://doi.org/10.1002/joc.8442
- Historical Forest fire Occurrence Analysis in Jambi Province During the Period of 2000 – 2015: Its Distribution & Land Cover Trajectories L. Prasetyo et al. https://doi.org/10.1016/j.proenv.2016.03.096
- Development of a Global Fire Weather Database R. Field et al. https://doi.org/10.5194/nhess-15-1407-2015
- PeatFire: an agent-based model to simulate fire ignition and spreading in a tropical peatland ecosystem K. Widyastuti et al. https://doi.org/10.1071/WF19213
- Spatial correlates of forest and land fires in Indonesia Z. Tan et al. https://doi.org/10.1071/WF20036
- Indonesian fire activity and smoke pollution in 2015 show persistent nonlinear sensitivity to El Niño-induced drought R. Field et al. https://doi.org/10.1073/pnas.1524888113
- Application Seasonal Autoregressive Integrated Moving Average to Forecast the Number of East Kalimantan Hotspots S. Wahyuningsih et al. https://doi.org/10.1088/1742-6596/1351/1/012085
- Accuracy of tropical peat and non-peat fire forecasts enhanced by simulating hydrology S. Mezbahuddin et al. https://doi.org/10.1038/s41598-022-27075-0
- A POLITICAL ECONOMY ANALYSIS OF THE SOUTHEAST ASIAN HAZE P. CHANDER https://doi.org/10.1142/S0217590818500339
- Skillful seasonal prediction of summer wildfires over Central Asia Y. Pan et al. https://doi.org/10.1016/j.gloplacha.2023.104043
- Modelling and predicting annual rainfall over the Vietnamese Mekong Delta (VMD) using SARIMA H. Minh et al. https://doi.org/10.1007/s44288-024-00018-0
- Distribution of black carbon and PAHs in sediments of Peninsular Malaysia V. Vaezzadeh et al. https://doi.org/10.1016/j.marpolbul.2021.112871
- Climatological Variability of Fire Weather in Australia A. Dowdy https://doi.org/10.1175/JAMC-D-17-0167.1
- The Collection 6 MODIS burned area mapping algorithm and product L. Giglio et al. https://doi.org/10.1016/j.rse.2018.08.005
- How much global burned area can be forecast on seasonal time scales using sea surface temperatures? Y. Chen et al. https://doi.org/10.1088/1748-9326/11/4/045001
- Decreasing causal impacts of El Niño–Southern Oscillation on future fire activities T. Le et al. https://doi.org/10.1016/j.scitotenv.2022.154031
- Effectiveness of Roundtable on Sustainable Palm Oil (RSPO) for reducing fires on oil palm concessions in Indonesia from 2012 to 2015 M. Cattau et al. https://doi.org/10.1088/1748-9326/11/10/105007
- Global fire season severity analysis and forecasting L. Ferreira et al. https://doi.org/10.1016/j.cageo.2019.104339
- Historical and future anthropogenic warming effects on droughts, fires and fire emissions of CO2 and PM2.5 in equatorial Asia when 2015-like El Niño events occur H. Shiogama et al. https://doi.org/10.5194/esd-11-435-2020
- A new indicator of forest fire risk for Indonesia based on peat soil reflectance spectra measurements A. Hashimoto et al. https://doi.org/10.1080/01431161.2020.1846225
- State of Wildfires 2023–2024 M. Jones et al. https://doi.org/10.5194/essd-16-3601-2024
- Seasonal prediction of climate-driven fire risk for decision-making and operational applications in a Mediterranean region M. Turco et al. https://doi.org/10.1016/j.scitotenv.2019.04.296
- Statistical regulations of the occurrence of fires in cities during marital state R. Kovalenko et al. https://doi.org/10.52363/2524-0226-2023-38-13
- Monitoring degraded tropical peatland subsidence by integrating SBAS InSAR and machine learning D. Umarhadi & F. Siegert https://doi.org/10.1088/2515-7620/ae43ab
- Droughts, Wildfires, and Forest Carbon Cycling: A Pantropical Synthesis P. Brando et al. https://doi.org/10.1146/annurev-earth-082517-010235
- Preventing fires and haze in Southeast Asia L. Tacconi https://doi.org/10.1038/nclimate3008
- Forecasting Rainfall with Time Series Model M. Sidiq https://doi.org/10.1088/1757-899X/407/1/012154
- Sources of anthropogenic fire ignitions on the peat-swamp landscape in Kalimantan, Indonesia M. Cattau et al. https://doi.org/10.1016/j.gloenvcha.2016.05.005
- Identifying Key Drivers of Peatland Fires Across Kalimantan's Ex‐Mega Rice Project Using Machine Learning A. Horton et al. https://doi.org/10.1029/2021EA001873
- Skillful seasonal prediction of key carbon cycle components: NPP and fire risk P. Bett et al. https://doi.org/10.1088/2515-7620/ab8b29
- Past and future of wildfires in Northern Hemisphere’s boreal forests V. Velasco Hererra et al. https://doi.org/10.1016/j.foreco.2021.119859
- Impact of regional haze towards air quality in Malaysia: A review M. Latif et al. https://doi.org/10.1016/j.atmosenv.2018.01.002
54 citations as recorded by crossref.
- Skilful forecasting of global fire activity using seasonal climate predictions M. Turco et al. https://doi.org/10.1038/s41467-018-05250-0
- Near-complete loss of fire-resistant primary tropical forest cover in Sumatra and Kalimantan T. Nikonovas et al. https://doi.org/10.1038/s43247-020-00069-4
- The analysis of fire hotspot distribution in Kalimantan and its relation- ship with ENSO phases R. Zahra et al. https://doi.org/10.14746/quageo-2023-0006
- Forecasting Global Fire Emissions on Subseasonal to Seasonal (S2S) Time Scales Y. Chen et al. https://doi.org/10.1029/2019MS001955
- A pan-tropical cascade of fire driven by El Niño/Southern Oscillation Y. Chen et al. https://doi.org/10.1038/s41558-017-0014-8
- A statistical approach to analyze and forecast the dynamics of active fire in the Brazilian legal Amazon Y. Campos Miranda et al. https://doi.org/10.1080/23737484.2024.2318847
- Enhancing seasonal fire predictions with hybrid dynamical and random forest models M. Torres-Vázquez et al. https://doi.org/10.1038/s44304-025-00069-4
- Spatial variations in vegetation fires and emissions in South and Southeast Asia during COVID-19 and pre-pandemic K. Vadrevu et al. https://doi.org/10.1038/s41598-022-22834-5
- Long‐Lead Prediction of the 2015 Fire and Haze Episode in Indonesia D. Shawki et al. https://doi.org/10.1002/2017GL073660
- Spatial evaluation of Indonesia's 2015 fire‐affected area and estimated carbon emissions using Sentinel‐1 S. Lohberger et al. https://doi.org/10.1111/gcb.13841
- Detection and Characterization of Low Temperature Peat Fires during the 2015 Fire Catastrophe in Indonesia Using a New High-Sensitivity Fire Monitoring Satellite Sensor (FireBird) E. Atwood et al. https://doi.org/10.1371/journal.pone.0159410
- ProbFire: a probabilistic fire early warning system for Indonesia T. Nikonovas et al. https://doi.org/10.5194/nhess-22-303-2022
- Power law scaling reveals systemic divergence in fire risk across South and Southeast Asian countries K. Vadrevu https://doi.org/10.1088/1748-9326/ae962a
- Modelling and analysis impact of El Nino and IOD to land and forest fire using polynomial and generalized logistic function: cases study in South Sumatra and Kalimantan, Indonesia S. Nurdiati et al. https://doi.org/10.1007/s40808-021-01303-4
- Declining severe fire activity on managed lands in Equatorial Asia S. Sloan et al. https://doi.org/10.1038/s43247-022-00522-6
- Perspective: Improving the accuracy of plant phenology observations and land-cover and land-use detection by optical satellite remote-sensing in the Asian tropics N. Shin et al. https://doi.org/10.3389/ffgc.2023.1106723
- Tropical forest and peatland conservation in Indonesia: Challenges and directions M. Harrison et al. https://doi.org/10.1002/pan3.10060
- Important meteorological predictors for long-range wildfires in China F. Zhao & Y. Liu https://doi.org/10.1016/j.foreco.2021.119638
- Improving Forecasts of Biomass Burning Emissions with the Fire Weather Index F. Di Giuseppe et al. https://doi.org/10.1175/JAMC-D-16-0405.1
- Seasonal predictions of Fire Weather Index: Paving the way for their operational applicability in Mediterranean Europe J. Bedia et al. https://doi.org/10.1016/j.cliser.2017.04.001
- The WMO vegetation fire and smoke pollution warning advisory and assessment system (VFSP-WAS) A. Baklanov et al. https://doi.org/10.37002/biobrasil.v11i2.1738
- Global seasonal prediction of fire danger F. Di Giuseppe et al. https://doi.org/10.1038/s41597-024-02948-3
- Quantifying causal teleconnections to drought and fire risks in Indonesian Borneo T. Lam et al. https://doi.org/10.1002/joc.8442
- Historical Forest fire Occurrence Analysis in Jambi Province During the Period of 2000 – 2015: Its Distribution & Land Cover Trajectories L. Prasetyo et al. https://doi.org/10.1016/j.proenv.2016.03.096
- Development of a Global Fire Weather Database R. Field et al. https://doi.org/10.5194/nhess-15-1407-2015
- PeatFire: an agent-based model to simulate fire ignition and spreading in a tropical peatland ecosystem K. Widyastuti et al. https://doi.org/10.1071/WF19213
- Spatial correlates of forest and land fires in Indonesia Z. Tan et al. https://doi.org/10.1071/WF20036
- Indonesian fire activity and smoke pollution in 2015 show persistent nonlinear sensitivity to El Niño-induced drought R. Field et al. https://doi.org/10.1073/pnas.1524888113
- Application Seasonal Autoregressive Integrated Moving Average to Forecast the Number of East Kalimantan Hotspots S. Wahyuningsih et al. https://doi.org/10.1088/1742-6596/1351/1/012085
- Accuracy of tropical peat and non-peat fire forecasts enhanced by simulating hydrology S. Mezbahuddin et al. https://doi.org/10.1038/s41598-022-27075-0
- A POLITICAL ECONOMY ANALYSIS OF THE SOUTHEAST ASIAN HAZE P. CHANDER https://doi.org/10.1142/S0217590818500339
- Skillful seasonal prediction of summer wildfires over Central Asia Y. Pan et al. https://doi.org/10.1016/j.gloplacha.2023.104043
- Modelling and predicting annual rainfall over the Vietnamese Mekong Delta (VMD) using SARIMA H. Minh et al. https://doi.org/10.1007/s44288-024-00018-0
- Distribution of black carbon and PAHs in sediments of Peninsular Malaysia V. Vaezzadeh et al. https://doi.org/10.1016/j.marpolbul.2021.112871
- Climatological Variability of Fire Weather in Australia A. Dowdy https://doi.org/10.1175/JAMC-D-17-0167.1
- The Collection 6 MODIS burned area mapping algorithm and product L. Giglio et al. https://doi.org/10.1016/j.rse.2018.08.005
- How much global burned area can be forecast on seasonal time scales using sea surface temperatures? Y. Chen et al. https://doi.org/10.1088/1748-9326/11/4/045001
- Decreasing causal impacts of El Niño–Southern Oscillation on future fire activities T. Le et al. https://doi.org/10.1016/j.scitotenv.2022.154031
- Effectiveness of Roundtable on Sustainable Palm Oil (RSPO) for reducing fires on oil palm concessions in Indonesia from 2012 to 2015 M. Cattau et al. https://doi.org/10.1088/1748-9326/11/10/105007
- Global fire season severity analysis and forecasting L. Ferreira et al. https://doi.org/10.1016/j.cageo.2019.104339
- Historical and future anthropogenic warming effects on droughts, fires and fire emissions of CO2 and PM2.5 in equatorial Asia when 2015-like El Niño events occur H. Shiogama et al. https://doi.org/10.5194/esd-11-435-2020
- A new indicator of forest fire risk for Indonesia based on peat soil reflectance spectra measurements A. Hashimoto et al. https://doi.org/10.1080/01431161.2020.1846225
- State of Wildfires 2023–2024 M. Jones et al. https://doi.org/10.5194/essd-16-3601-2024
- Seasonal prediction of climate-driven fire risk for decision-making and operational applications in a Mediterranean region M. Turco et al. https://doi.org/10.1016/j.scitotenv.2019.04.296
- Statistical regulations of the occurrence of fires in cities during marital state R. Kovalenko et al. https://doi.org/10.52363/2524-0226-2023-38-13
- Monitoring degraded tropical peatland subsidence by integrating SBAS InSAR and machine learning D. Umarhadi & F. Siegert https://doi.org/10.1088/2515-7620/ae43ab
- Droughts, Wildfires, and Forest Carbon Cycling: A Pantropical Synthesis P. Brando et al. https://doi.org/10.1146/annurev-earth-082517-010235
- Preventing fires and haze in Southeast Asia L. Tacconi https://doi.org/10.1038/nclimate3008
- Forecasting Rainfall with Time Series Model M. Sidiq https://doi.org/10.1088/1757-899X/407/1/012154
- Sources of anthropogenic fire ignitions on the peat-swamp landscape in Kalimantan, Indonesia M. Cattau et al. https://doi.org/10.1016/j.gloenvcha.2016.05.005
- Identifying Key Drivers of Peatland Fires Across Kalimantan's Ex‐Mega Rice Project Using Machine Learning A. Horton et al. https://doi.org/10.1029/2021EA001873
- Skillful seasonal prediction of key carbon cycle components: NPP and fire risk P. Bett et al. https://doi.org/10.1088/2515-7620/ab8b29
- Past and future of wildfires in Northern Hemisphere’s boreal forests V. Velasco Hererra et al. https://doi.org/10.1016/j.foreco.2021.119859
- Impact of regional haze towards air quality in Malaysia: A review M. Latif et al. https://doi.org/10.1016/j.atmosenv.2018.01.002
Saved (final revised paper)
Discussed (final revised paper)
Latest update: 15 Sep 2026
Altmetrics
Final-revised paper
Preprint