Heat Risk Communication by Operational Meteorologists in Indonesia: Current Operational Challenges and Decision-Making Dilemmas in Heat Early Warning System

Yoshua A. Nugroho , Emmanuel Raju , Agie W. Putra , Carolina P. Marghidan

International Journal of Disaster Risk Science ›› : 1 -13.

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International Journal of Disaster Risk Science ›› :1 -13. DOI: 10.1007/s13753-026-00760-8
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Heat Risk Communication by Operational Meteorologists in Indonesia: Current Operational Challenges and Decision-Making Dilemmas in Heat Early Warning System
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Abstract

The rapid change of heat patterns resulting from human-induced climate change are affecting the heat thresholds used in early warning systems. In Indonesia, the current heat early warning guidelines employ a nationwide fixed threshold that, considering current heat trends, may fail to adequately capture localized heat stress and vulnerability. In such conditions, operational meteorologists (OMs) authorized to issue warnings may face challenges and dilemmas when implementing heat early warning systems (HEWS) using existing thresholds. This study explores the decision-making processes and challenges faced by OMs using a cross-sectional survey involving 140 OMs serving in urban coastal areas across 31 provinces in Indonesia using hierarchical ordinary least squares (OLS) regression. We identified terminology ambiguity and reliance on weather station data as the primary technical and institutional determinants of dissemination challenges. Furthermore, the decision to issue a warning is predicted by past experience with successful warnings and the adoption of a “liberal” warning philosophy. These findings also provide conceptual insights into how institutional constraints and personal judgment interact to shape HEWS operations and contribute to the broader theoretical understanding of OMs’ decision making under uncertainty.

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Communication / Decision making / Heat early warning systems / Indonesia / Meteorologist

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Yoshua A. Nugroho, Emmanuel Raju, Agie W. Putra, Carolina P. Marghidan. Heat Risk Communication by Operational Meteorologists in Indonesia: Current Operational Challenges and Decision-Making Dilemmas in Heat Early Warning System. International Journal of Disaster Risk Science 1-13 DOI:10.1007/s13753-026-00760-8

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References

[1]

Alexander LV, Zhang X, Peterson TC, Caesar J, Gleason B, Klein Tank AMG, Haylock M, Collins D, et al.. Global observed changes in daily climate extremes of temperature and precipitation. Journal of Geophysical Research: Atmospheres, 2006, 111(D5): Article 2005JD006290

[2]

Alexiev A, Volberda H, Jansen J, Van Den Bosch F. Contextualizing senior executive advice seeking: The role of decision process comprehensiveness and empowerment climate. Organization Studies, 2020, 41(4): 471-497

[3]

Allen MS, Iliescu D, Greiff S. Single item measures in psychological science: A call to action. European Journal of Psychological Assessment, 2022, 38(1): 1-5

[4]

Altamura M, Ferraris L, Miozzo D, Musso L, Siccardi F. The legal status of uncertainty. Natural Hazards and Earth System Sciences, 2011, 11(3): 797-806

[5]

Armstrong JS, Overton TS. Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 1977, 14(3): Article 396

[6]

Arrighi, J., F.E.L. Otto, C.P. Marghidan, S. Philip, R. Singh, M. Vahlberg, J. Giguere, A.J. Pershing, et al. 2024. Climate change and the escalation of global extreme heat: Assessing and addressing the risks. Princeton, NJ: Climate Central, Red Cross and Red Crescent Climate Centre, World Weather Attribution. https://assets.ctfassets.net/cxgxgstp8r5d/5sjPWtBWuPk56xVZKuuL3g/fe050dd8d61e8b2a7e3a315a4b75b22f/Climate_Change_and_the_Escalation_of_Global_Extreme_Heat_Climate_Central.pdf. Accessed 28 Jun 2024.

[7]

BAPPENAS (Republic of Indonesia, Ministry of National Development Planning / National Development Planning Agency). 2014. National action plan for climate change adaptation (RAN-API) 2014. Jakarta: BAPPENAS.

[8]

Barnes LR, Gruntfest EC, Hayden MH, Schultz DM, Benight C. False alarms and close calls: A conceptual model of warning accuracy. Weather and Forecasting, 2007, 22(5): 1140-1147

[9]

BMKG (Badan Meteorologi, Klimatologi, dan Geofisika). 2022. BMKG human capital development plan 2022–2026. Pub. L. No. Perka BMKG No. 4/2022. https://peraturan.bpk.go.id/Details/299977/perka-bmkg-no-4-tahun-2022. Accessed 10 Jun 2024.

[10]

BNPB (Badan Nasional Penanggulangan Bencana). 2025. National disaster management plan 2025–2029 (Peraturan Badan Nasional Penanggulangan Bencana Republik Indonesia Nomor 1 Tahun 2025). Jakarta: BNPB.

[11]

Bostrom A, Morss RE, Lazo JK, Demuth JL, Lazrus H, Hudson R. A mental models study of hurricane forecast and warning production, communication, and decision-making. Weather, Climate, and Society, 2016, 8(2): 111-129

[12]

Brimicombe C, Gao C, Otto IM. Vulnerable to heat stress: Gaps in international standard metric thresholds. International Journal of Biometeorology, 2024, 68(12): 2495-2506

[13]

Brunskill JC. Qualitative and quantitative descriptions of temperature: A study of the terminology used by local television weather forecasters to describe thermal sensation. International Journal of Biometeorology, 2010, 54(2): 193-209

[14]

Cohen J. Statistical power analysis for the behavioral sciences, 2013, 2, New York Routledge

[15]

Cordero Simões Dos Reis N, Boiaski NT, Ferraz SET. Characterization and spatial coverage of heat waves in subtropical Brazil. Atmosphere, 2019, 10(5): Article 284

[16]

Daipha P. Masters of uncertainty: Weather forecasters and the quest for ground truth, 2015, Chicago, IL, The University of Chicago Press

[17]

Dong Z, Wang L, Sun Y, Hu T, Limsakul A, Singhruck P, Pimonsree S. Heatwaves in Southeast Asia and their changes in a warmer world. Earth’s Future, 2021, 9(7): Article 2021EF001992

[18]

Epstein Y, Moran DS. Thermal comfort and the heat stress indices. Industrial Health, 2006, 44(3): 388-398

[19]

Erens B, Williams L, Exley J, Ettelt S, Manacorda T, Hajat S, Mays N. Public attitudes to, and behaviours taken during, hot weather by vulnerable groups: Results from a national survey in England. BMC Public Health, 2021, 21(1): Article 1631

[20]

Esplin ED, Howe PD. It’s a dry heat: Professional perspectives on extreme heat risk in Utah. Journal of Risk Research, 2021, 24(12): 1558-1575

[21]

Fritz M. Temperature and non-communicable diseases: Evidence from Indonesia’s primary health care system. Health Economics, 2022, 31(11): 2445-2464

[22]

Fuchs C, Diamantopoulos A. Using single-item measures for construct measurement in management research. Die Betriebswirtschaft, 2009, 69(2): 195-210

[23]

Ghasemi A, Zahediasl S. Normality tests for statistical analysis: A guide for non-statisticians. International Journal of Endocrinology and Metabolism, 2012, 10(2): 486-489

[24]

GHHIN (Global Heat Health Information Network). 2023. Heat early warning systems roundtable. Washington, DC: GHHIN. https://ghhin.org/resources/heat-early-warning-systems-roundtable/. Accessed 30 Jan 2024.

[25]

Golding B. Towards the perfect weather warning: Bridging disciplinary gaps through partnership and communication, 2022, Cham, Springer

[26]

Hawkins MD, Brown V, Ferrell J. Assessment of NOAA National Weather Service methods to warn for extreme heat events. Weather, Climate, and Society, 2017, 9(1): 5-13

[27]

Heinselman PL, LaDue DS, Lazrus H. Exploring impacts of rapid-scan radar data on NWS warning decisions. Weather and Forecasting, 2012, 27(4): 1031-1044

[28]

Hoffman RR, LaDue DS, Mogil HM, Roebber PJ, Trafton JG. Minding the weather: How expert forecasters think, 2017, Cambridge, MIT Press

[29]

IFRC (International Federation of Red Cross and Red Crescent Societies). 2023. Urban heat stress in Indonesia (1983–2016). Geneva: IFRC. https://preparecenter.org/resource/urban-heat-stress-in-indonesia-1983-2016/. Accessed 30 Jan 2024.

[30]

IPCC (Intergovernmental Panel on Climate Change). Climate change 2021 – The physical science basis: Working Group I contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, 2023, 1, Cambridge Cambridge University Press

[31]

Jenkins SC, Putra AW, Ayuliana S, Novikarany R, Khalid NM, Mamat CSNBC, Moron LA, Monteverde MCA, et al.. Impact-based forecasting in South East Asia–What underlies impact perceptions?. International Journal of Disaster Risk Reduction, 2022, 76: Article 102943

[32]

Jones, G.W. 2014. Policy brief on the 2010–2035 Indonesian population projection. Jakarta: United Nations Population Fund (UNFPA) Indonesia. https://indonesia.unfpa.org/en/publications/policy-brief-2010-%E2%80%93-2035-indonesian-population-projection. Accessed 30 Jan 2024.

[33]

Karstens CD, Correia J, LaDue DS, Wolfe J, Meyer TC, Harrison DR, Cintineo JL, Calhoun KM, et al.. Development of a human-machine mix for forecasting severe convective events. Weather and Forecasting, 2018, 33(3): 715-737

[34]

Keith L, Meerow S, Wagner T. Planning for extreme heat: A review. Journal of Extreme Events, 2019, 6(03n04): Article 2050003

[35]

Kim J, Seate AA, Liu BF, Hawblitzel D, Funk T. To warn or not to warn: Factors influencing National Weather Service warning meteorologists’ tornado warning decisions. Weather, Climate, and Society, 2022, 14(3): 697-708

[36]

LeClerc J, Joslyn S. The cry wolf effect and weather-related decision making. Risk Analysis, 2015, 35(3): 385-395

[37]

Li X. Heat wave trends in Southeast Asia during 1979–2018: The impact of humidity. Science of the Total Environment, 2020, 721: Article 137664

[38]

Little TD. The Oxford handbook of quantitative methods, 2013, Oxford, UK, Oxford University Press

[39]

Lowe D, Ebi KL, Forsberg B. Heatwave early warning systems and adaptation advice to reduce human health consequences of heatwaves. International Journal of Environmental Research and Public Health, 2011, 8(12): 4623-4648

[40]

Masuda YJ, Garg T, Anggraeni I, Wolff NH, Ebi K, Game ET, Krenz J, Spector JT. Heat exposure from tropical deforestation decreases cognitive performance of rural workers: An experimental study. Environmental Research Letters, 2020, 15(12): Article 124015

[41]

McGregor GR, Bessemoulin P, Ebi KL, Menne B. Heatwaves and health: Guidance on warning-system development, 2015, Geneva, World Meteorological Organization and World Health Organization

[42]

Meehl GA, Tebaldi C. More intense, more frequent, and longer lasting heat waves in the 21st Century. Science, 2004, 305(5686): 994-997

[43]

Mishra AK, Derks MTH, Kooi L, Loomans MGLC, Kort HSM. Analysing thermal comfort perception of students through the class hour, during heating season, in a university classroom. Building and Environment, 2017, 125: 464-474

[44]

Nurmi, P. 2003. Recommendations on the verification of local weather forecasts (at ECMWF Member States). https://cawcr.gov.au/projects/verification/Rec_FIN_Oct.pdf. Accessed 30 Jan 2024.

[45]

Oktari RS, Dwirahmadi F, Ru Gan CC, Darundiyah K, Nugroho PC, Wibowo A, Chu C. Indonesia’s climate-related disasters and health adaptation policy in the build-up to COP26 and beyond. Sustainability, 2022, 14(2): Article 1006

[46]

Perkins SE. Biases and model agreement in projections of climate extremes over the tropical Pacific. Earth Interactions, 2011, 15(24): 1-36

[47]

Perneger TV, Courvoisier DS, Hudelson PM, Gayet-Ageron A. Sample size for pre-tests of questionnaires. Quality of Life Research, 2015, 24(1): 147-151

[48]

Radinović D, Ćurić M. Criteria for heat and cold wave duration indexes. Theoretical and Applied Climatology, 2012, 107(3–4): 505-510

[49]

Ramsay EE, Fleming GM, Faber PA, Barker SF, Sweeney R, Taruc RR, Chown SL, Duffy GA, et al.. Chronic heat stress in tropical urban informal settlements. Iscience, 2021, 24(11): Article 103248

[50]

Raymond C, Matthews T, Horton RM. The emergence of heat and humidity too severe for human tolerance. Science Advances, 2020, 6(19): Article eaaw 1838

[51]

Scher S. Toward data-driven weather and climate forecasting: Approximating a simple general circulation model with deep learning. Geophysical Research Letters, 2018, 45(22): 12-616

[52]

Seate, A.A. 2019. To warn or not to warn? Understanding National Weather Service forecasters’ tornado warning philosophies. In Proceedings of National Weather Association’s 44th Annual Meeting, 7–12 September 2019, Huntsville, AL, USA. https://nwas.org/annual-meeting-events/annual-meeting/meeting-agenda/#n-weatheranalysisandforecasting. Accessed 30 Jan 2024.

[53]

Setiawati MD, Jarzebski MP, Fukushi KDjalante R, Bisri MBF, Shaw R. Heat vulnerability index development and application in Medan City, Indonesia. Integrated research on disaster risks, 2021, Cham, Springer, 87-110

[54]

Setiawati MD, Jarzebski MP, Fukushi K. Extreme heat vulnerability assessment in Indonesia at the provincial level. IOP Conference Series: Earth and Environmental Science, 2022, 1095(1): Article 12021

[55]

Setiawati MD, Jarzebski MP, Gomez-Garcia M, Fukushi K. Accelerating urban heating under land-cover and climate change scenarios in Indonesia: Application of the universal thermal climate index. Frontiers in Built Environment, 2021, 7: Article 622382

[56]

Siagian TH, Purhadi P, Suhartono S, Ritonga H. Social vulnerability to natural hazards in Indonesia: Driving factors and policy implications. Natural Hazards, 2014, 70(2): 1603-1617

[57]

Simpson C, Hosking JS, Mitchell D, Betts RA, Shuckburgh E. Regional disparities and seasonal differences in climate risk to rice labour. Environmental Research Letters, 2021, 16(12): Article 124004

[58]

Sun X, Ge F, Chen Q, Fraedrich K, Li X. How striking is the intergenerational difference in exposure to compound heatwaves over Southeast Asia?. Earth’s Future, 2023, 11(6): Article e2022EF003179

[59]

Supari S, Tangang F, Juneng L, Aldrian E. Observed changes in extreme temperature and precipitation over Indonesia. International Journal of Climatology, 2017, 37(4): 1979-1997

[60]

Taherdoost H. Validity and reliability of the research instrument: How to test the validation of a questionnaire/survey in a research. International Journal of Academic Research in Management, 2016, 5(3): 28-36

[61]

Thornes JE, Stephenson DB. How to judge the quality and value of weather forecast products. Meteorological Applications, 2001, 8(3): 307-314

[62]

Varquez ACG, Darmanto NS, Honda Y, Ihara T, Kanda M. Future increase in elderly heat-related mortality of a rapidly growing Asian megacity. Scientific Reports, 2020, 10(1): Article 9304

[63]

Watts N, Aman M, Arnell N, Ayeb-Karlsson S, Beagley J, Belesova K, Boykoff M, Byass P, et al.. The 2020 report of the Lancet countdown on health and climate change: Responding to converging crises. The Lancet, 2021, 397(10269): 129-170

[64]

Woltman H, Feldstain A, MacKay JC, Rocchi M. An introduction to hierarchical linear modeling. Tutorials in Quantitative Methods for Psychology, 2012, 8(1): 52-69

[65]

Yovi EY, Nastiti A, Kuncahyo B. Heat-related knowledge, risk perception, and precautionary behavior among Indonesian forestry workers and farmers: Implications for occupational health promotion in the face of climate change impacts. Forests, 2023, 14(7): Article 1455

[66]

Zander KK, Richerzhagen C, Garnett ST. Human mobility intentions in response to heat in urban South East Asia. Global Environmental Change, 2019, 56: 18-28

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Copenhagen University

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