Articles | Volume 23, issue 2
https://doi.org/10.5194/nhess-23-553-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-553-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Validating a tailored drought risk assessment methodology: drought risk assessment in local Papua New Guinea regions
Isabella Aitkenhead
CORRESPONDING AUTHOR
School of Science, Geospatial Science, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Victoria, Australia
Bureau of Meteorology, Docklands, Victoria, Australia
Yuriy Kuleshov
CORRESPONDING AUTHOR
School of Science, Geospatial Science, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Victoria, Australia
Bureau of Meteorology, Docklands, Victoria, Australia
School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria, Australia
Jessica Bhardwaj
School of Science, Geospatial Science, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Victoria, Australia
Bureau of Meteorology, Docklands, Victoria, Australia
Zhi-Weng Chua
School of Science, Geospatial Science, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Victoria, Australia
Bureau of Meteorology, Docklands, Victoria, Australia
Chayn Sun
School of Science, Geospatial Science, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Victoria, Australia
Suelynn Choy
School of Science, Geospatial Science, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Victoria, Australia
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Cited articles
Aerts, J. C. J. H., Botzen, W. J., Clarke, K. C., Cutter, S. L., Hall, J.
W., Merz, B., Michel-Kerjan, E., Mysiak, J., Surminski, S., and Kunreuther,
H.: Integrating human behaviour dynamics into flood disaster risk
assessment, Nat. Clim. Change, 8, 193–199,
https://doi.org/10.1038/s41558-018-0085-1, 2018.
Aitkenhead, I., Kuleshov, Y., Watkins, A. B., Bhardwaj, J., and Asghari, A.:
Assessing agricultural drought management strategies in the Northern
Murray–Darling Basin, Nat. Hazards, 109, 1425–1455, https://doi.org/10.1007/s11069-021-04884-6, 2021.
Allan, R. J., Gergis, J., and D'Arrigo, R. D.: Placing the AD 2014–2016
“protracted” El Niño episode into a long-term context, Holocene, 30,
90–105, https://doi.org/10.1177/0959683619875788, 2019.
Allen, B. and Bourke, R.: The 1997–98 Drought in Papua New Guinea: Failure
of Policy or Triumph of the Citizenry?, in: Policy Making and Implementation
Studies from Papua New Guinea, edited by: May, R., State, Society and
Governance in Melanesia, ANU Press, Australia, 325–343, http://hdl.handle.net/1885/49463 (last access: 5 July 2021), 2009.
Anand, A., Agrawal, M., Bhatt, N., and Ram, M.: Software Patch Scheduling
Policy Incorporating Functional Safety Standards, in: Advances in System
Reliability Engineering, Academic Press, 267–279,
https://doi.org/10.1016/B978-0-12-815906-4.00011-7, 2019.
Annamalai, H., Keener, V., Widlansky, M. J., and Hafner, J.: El Niño
Strengthens in the Pacific: Preparing for the Impacts of Drought,
AsiaPacific, 122, 2–10, 2015.
Asare-Kyei, D., Renaud, F. G., Kloos, J., Walz, Y., and Rhyner, J.:
Development and validation of risk profiles of West African rural
communities facing multiple natural hazards, PLOS ONE, 12, e0171921, https://doi.org/10.1371/journal.pone.0171921, 2017.
Bang, S. and Crimp, S.: Accessible weather forecasts, advisories key to PNG farm resilience, Partners in Research for Development, 3, 14–17, https://search.informit.org/doi/10.3316/informit.950510834174223 (last access: 2 July 2021), 2019.
Bang, S., Sitango, K., and UN.ESCAP: Indigenous Drought Coping Strategies and
Risk Management against El Nino in Papua New Guinea, CGPRT Centre Working
Paper, Papua New Guinea, https://hdl.handle.net/20.500.12870/4190 (last access: 2 July 2021), 2003.
Beck, H. E., Wood, E. F., Pan, M., Fisher, C. K., Miralles, D. G., Van Dijk, A. I. J. M., McVicar, T. R., and Adler, R. F.: MSWEP V2 Global 3-Hourly 0.1 Precipitation: Methodology and Quantitative Assessment, B. Am. Meteorol. Soc., 100, 473–500, https://doi.org/10.1175/BAMS-D-17-0138.1, 2019.
Benzie, M., Hedlund, J., and Carlsen, H.: Introducing the Transnational
Climate Impacts Index: Indicators of country-level exposure – methodology
report, Stockholm Environment Institute, 7, 3–43, https://www.weadapt.org/sites/weadapt.org/files/2017/november/sei-wp-2016-07-introducing-tci-index.pdf (last access: 2 July 2021), 2016.
Bhardwaj, J., Kuleshov, Y., Watkins, A. B., Aitkenhead, I., and Asghari, A.:
Building capacity for a user-centred Integrated Early Warning System (I-EWS)
for drought in the Northern Murray-Darling Basin, Nat. Hazards, 107, 97–122, https://doi.org/10.1007/s11069-021-04575-2, 2021a.
Bhardwaj, J., Kuleshov, Y., Chua, Z.-W., Watkins, A. B., Choy, S., and Sun,
Q.: Building Capacity for a User-Centred Integrated Early Warning System for
Drought in Papua New Guinea, Remote Sens., 13, 3307, https://doi.org/10.3390/rs13163307, 2021b.
Bijaber, N.: Developing a remotely sensed drought monitoring indicator for
Morocco, Geosciences, 8, 55, https://doi.org/10.3390/geosciences8020055, 2018.
Blauhut, V.: The triple complexity of drought risk analysis and its
visualisation via mapping: a review across scales and sectors, Earth-Sci.
Rev., 210, 103345, https://doi.org/10.1016/j.earscirev.2020.103345, 2020.
Bonnafous, L., Lall, U., and Siegel, J.: An index for drought induced
financial risk in the mining industry, Water Resour. Res., 53,
1509–1524, https://doi.org/10.1002/2016WR019866, 2017.
Broughton, B.: Evaluation of Australia’s response to El Niño Drought and Frosts in PNG 2015-17, INL847, Australian Department of Foreign Affairs and Trade, Australian Government, https://www.dfat.gov.au/sites/default/files/evaluation-of-australias-response-to-png-el-nino-drought-2015-2017.pdf (last access: 5 May 2020), 2017.
Burivalova, Z., Towsey, M., Boucher, T., Truskinger, A., Apelis, C., Roe,
P., and Game, E. T.: Using soundscapes to detect variable degrees of human
influence on tropical forests in Papua New Guinea, Conserv. Biol., 32,
205–215, https://doi.org/10.1111/cobi.12968, 2017.
Chand, S.: Registration and release of customary-land for private
enterprise: Lessons from Papua New Guinea, Land Use Policy, 61, 413–419,
https://doi.org/10.1016/j.landusepol.2016.11.039, 2017.
Chen, K., Blong, R., and Jacobson, C.: Towards an integrated approach to
natural hazards risk assessment using GIS: with reference to bushfires,
Environ. Manage., 31, 546–560, https://doi.org/10.1007/s00267-002-2747-y, 2003.
Chua, Z.-W., Kuleshov, Y., and Watkins, A. B.: Drought Detection over Papua
New Guinea Using Satellite-Derived Products, Remote Sens., 12, 3859, https://doi.org/10.3390/rs12233859, 2020.
Dayal, K. S., Deo, R. C., and Apan, A. A.: Spatio-temporal drought risk
mapping approach and its application in the drought-prone region of
south-east Queensland, Australia, Nat. Hazards, 93, 823–847, https://doi.org/10.1007/s11069-018-3326-8, 2018.
De Deckker, P.: The Indo-Pacific Warm Pool: critical to world oceanography
and world climate, Geoscience Letters, 3, 20, https://doi.org/10.1186/s40562-016-0054-3, 2016.
Environmental Systems Research Institute (ESRI) Inc.: Fuzzy membership, ArcGIS Pro (10.7.1), Environmental Systems Research Institute (ESRI) Inc. [code], https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-analyst/fuzzy-membership.htm (last access: 15 December 2020), 2019a.
Environmental Systems Research Institute (ESRI) Inc.: Fuzzy overlay, ArcGIS Pro (10.7.1),
Environmental Systems Research Institute (ESRI) Inc. [code], https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-analyst/fuzzy-overlay.htm (last access: 15 December 2020), 2019b.
European Centre for Medium-Range Weather Forecasts (ECMWF), National Aeronautics and Space Administration (NASA), and National Aeronautics and Space Administration (NOAA): MSWEP (Multi-Source Weighted-Ensemble Precipitation), GloH20 [data set], http://www.gloh2o.org/mswep/, last access: 3 May 2021.
Fallon, A. L., Villholth, K. G., Conway, D., Lankford, B. A., and Ebrahim,
G. Y.: Agricultural groundwater management strategies and seasonal climate
forecasting: perceptions from Mogwadi (Dendron), Limpopo, South Africa, J.
Water Clim. Change, 10, 142–157, https://doi.org/10.2166/wcc.2018.042, 2018.
Farok, G. and Homayouni, S.: Foundations of mathematics play the baseline
for data exploring, forecasting and analyzing of risks to get an economic
decision, African Journal of Engineering Research, 6, 25–31, https://doi.org/10.30918/AJER.62.18.006, 2018.
Fekete, A.: Social Vulnerability (Re-)Assessment in Context to Natural
Hazards: Review of the Usefulness of the Spatial Indicator Approach and
Investigations of Validation Demands, Int. J. Disast. Risk
Sc., 10, 220–232, https://doi.org/10.1007/s13753-019-0213-1, 2019.
Finucane, M. L.: Why science alone won't solve the climate crisis: Managing climate risks in the Pacific, Asia Pacific Issues, 89, 1–8, http://hdl.handle.net/10125/11545 (last access: 1 July 2021), 2009.
Food and Agriculture Organisation of the United Nations: FAO 2020–2021 La
Niña advisory, Food and Agriculture Organisation of the United Nations,
Rome, 1–14, https://www.fao.org/3/cb2954en/cb2954en.pdf, last access: 10 June 2021.
Food Security Cluster, Secretariat of the Pacific Regional Environment
Programme, and World Food Programme: Anticipatory Action Advisory for
Pacific Food Security – La Niña 2021, Italy, Pacific Food Security Cluster, https://fscluster.org/pacific/document/anticipatory-action-advisory-pacific-0, last access: 10 June 2021.
Fragaszy, S. R., Jedd, T., Wall, N., Knutson, C., Fraj, M. B., Bergaoui, K.,
Svoboda, M., Hayes, M., and McDonnell, R.: Drought Monitoring in the Middle
East and North Africa (MENA) Region: Participatory Engagement to Inform
Early Warning Systems, B. Am. Meteorol. Soc., 101,
E1148–E1173, https://doi.org/10.1175/BAMS-D-18-0084.1, 2020.
Frischen, J., Meza, I., Rupp, D., Wietler, K., and Hagenlocher, M.: Drought
Risk to Agricultural Systems in Zimbabwe: A Spatial Analysis of Hazard,
Exposure, and Vulnerability, Sustainability, 12, 752, https://doi.org/10.3390/su12030752, 2020.
González Tánago, I., Urquijo, J., Blauhut, V., Villarroya, F., and
De Stefano, L.: Learning from experience: a systematic review of assessments
of vulnerability to drought, Nat. Hazards, 80, 951–973, https://doi.org/10.1007/s11069-015-2006-1, 2016.
Gwatirisa, P. R., Pamphilon, B., and Mikhailovich, K.: Coping with Drought
in Rural Papua New Guinea: A Western Highlands Case Study, Ecol. Food Nutr., 56, 393–410, https://doi.org/10.1080/03670244.2017.1352504, 2017.
Hagenlocher, M., Meza, I., Anderson, C. C., Min, A., Renaud, F. G., Walz,
Y., Siebert, S., and Sebesvari, Z.: Drought vulnerability and risk
assessments: state of the art, persistent gaps, and research agenda,
Environ. Res. Lett., 14, 083002, https://doi.org/10.1088/1748-9326/ab225d, 2019.
Hagenlocher, M., Thieken, A., Schneiderbauer, S., Aguirre Ayerbe, I., Dobes,
P., Donovan, A., Morsut, C., Paris, N., Pedoth, L., and Tonmoy, F.: Risk
Assessment, in: Science for Disaster Risk Management 2020: acting today,
protecting tomorrow, edited by: Casajus Valles, A., Marin Ferrer, M.,
Poljanšek, K., and Clark, I., Publications Office of the European Union,
Luxembourg, 54–65, https://doi.org/10.2760/571085, 2020.
Horton, J. B., Lefale, P., and Keith, D.: Parametric Insurance for Solar
Geoengineering: Insights from the Pacific Catastrophe Risk Assessment and
Financing Initiative, Glob. Policy, 12, 97–107,
https://doi.org/10.1111/1758-5899.12864, 2021.
Iese, V., Kiem, A. S., Mariner, A., Malsale, P., Tofaeono, T., Kirono, D. G.
C., Round, V., Heady, C., Tigona, R., Veisa, F., Posanau, K., Aiono, F.,
Haruhiru, A., Daphne, A., Vainikolo, V., and Iona, N.: Historical and future
drought impacts in the Pacific islands and atolls, Clim. Change, 166, 19,
https://doi.org/10.1007/s10584-021-03112-1, 2021.
Jacka, J. K.: In the Time of Frost: El Niño and the Political Ecology of
Vulnerability in Papua New Guinea, Anthropol. Forum, 30, 141–156, https://doi.org/10.1080/00664677.2019.1647832, 2020.
Japan Aerospace Exploration Agency (JAXA): Earth-graphy and Space Technology Directorate: Vegetation, Japan Aerospace Exploration Agency (JAXA) [data set], https://earth.jaxa.jp/en/data/products/vegetation/index.html, last access: 3 May 2021.
Japan Aerospace Exploration Agency (JAXA) and Earth Observation Research Center (EORC): Japan Aerospace Exploration Agency (JAXA) Climate Rainfall Watch, GSMaP (Global Satellite Mapping of Precipitation) [data set], https://sharaku.eorc.jaxa.jp/GSMaP_CLM/index.htm, last access: 3 May 2021.
Johnson, N. C., L'Heureux, M. L., Chang, C. H., and Hu, Z. Z.: On the
Delayed Coupling Between Ocean and Atmosphere in Recent Weak El Niño
Episodes, Geophys. Res. Lett., 46, 11416–11425,
https://doi.org/10.1029/2019GL084021, 2019.
Kanua, M., Bourke, R., Jinks, B., and Lowe, M.: Assessing Village Food Needs
Following a Natural Disaster in Papua New Guinea, Church Partnership Program, Port Moresby, http://hdl.handle.net/1885/109282 (last access: 8 July 2021), 2016.
Korada, N., Sekac, T., Jana, S. K., and Pal, S. K.: Delineating Drought Risk Areas Using Remote Sensing and Geographic Information Systems – A Case Study of Western Highlands Province, Papua New Guinea, European Journal of Engineering and Technology Research, 3, 103–110, https://doi.org/10.24018/ejeng.2018.3.10.937, 2018.
Kuleshov, Y., McGree, S., Jones, D., Charles, A., Cottrill, A., Prakash, B.,
Atalifo, T., Nihmei, S., and Seuseu, F. L. S. K.: Extreme weather and
climate events and their impacts on island countries in the Western Pacific:
cyclones, floods and droughts, Atmospheric and Climate Sciences, 4, 803–818, https://doi.org/10.4236/acs.2014.45071, 2014.
Kuleshov, Y., Kurino, T., Kubota, T., Tashima, T., and Xie, P.: WMO
Space-based Weather and Climate Extremes Monitoring Demonstration Project
(SEMDP): First Outcomes of Regional Cooperation on Drought and Heavy
Precipitation Monitoring for Australia and Southeast Asia, in: Rainfall –
Extremes, Distribution and Properties, edited by: Abbot, J. and Hammond, A.,
IntechOpen, https://doi.org/10.5772/intechopen.85824, 2019.
Kuleshov, Y., Inape, K., Watkins, A., Bear-Crozier, A., Chua, Z.-W., Xie,
P., Kubota, T., Tashima, T., Stefanski, R., and Kurino, T.: Climate Risk and
Early Warning Systems (CREWS) for Papua New Guinea, in: Drought – Detection
and Solutions, edited by: Ondrasek, G., IntechOpen, https://doi.org/10.5772/intechopen.85962, 2020.
Le, T., Sun, C., Choy, S., and Kuleshov, Y.: Regional drought risk assessment in the Central Highlands and the South of Vietnam, Geomat. Nat. Hazards Risk, 12, 3140–3159, https://doi.org/10.1080/19475705.2021.1998232, 2021.
Mckenna, K. and Yakam, L.: Signs of “The End Times”: Perspectives on Climate Change Among Market Sellers in Madang, Papua New Guinea, in: Beyond Belief: Opportunities for Faith-engaged Approaches to Climate-change Adaptation in the Pacific Islands, edited by: Luetz, J., and Nunn, P., Springer Nature, Switzerland, 139–153, https://doi.org/10.1007/978-3-030-67602-5_8, 2021.
Mercer, J.: Disaster risk reduction or climate change adaptation: Are we
reinventing the wheel?, J. Int. Dev., 22, 247–264,
2010.
Molinari, D., De Bruijn, K. M., Castillo-Rodríguez, J. T., Aronica, G.
T., and Bouwer, L. M.: Validation of flood risk models: Current practice and
possible improvements, Int. J. Disast. Risk Re., 33, 441–448, https://doi.org/10.1016/j.ijdrr.2018.10.022, 2019.
Mosquera-Machado, S. and Dilley, M.: A comparison of selected global
disaster risk assessment results, Nat. Hazards, 48, 439–456,
https://doi.org/10.1007/s11069-008-9272-0, 2009.
Nagarajan, R. and Ganapuram, S.: Micro-Level Drought Vulnerability Assessment Using Standardised Precipitation Index, Standardised Water-Level Index, Remote Sensing and GIS, The Asian Conference on Remote Sensing (ACRS): Fostering Resilient Growth in Asia, 36, https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=552d4f6380d8d45325c3d8eeb103d38d654794fa (last access: 1 July 2021), 2015.
Nasrollahi, M., Khosravi, H., Moghaddamnia, A., Malekian, A., and Shahid,
S.: Assessment of drought risk index using drought hazard and vulnerability
indices, Arab. J. Geosci., 11, 606, https://doi.org/10.1007/s12517-018-3971-y, 2018.
Natera, G. P.: 1 km DEM with Districts, Spatial data and systems data (GIS) branch, Environment Information & Science Division, Department of Environment & Conservation, PNG Government [data set], https://png-data.sprep.org/resource/dem-2000 (last access: 10 March 2020), 2016.
National Aeronautics and Space Administration (NOAA): Global Precipitation Monitoring, National Aeronautics and Space Administration (NOAA)/National Weather Service, Centre for Weather and Climate Prediction [data set], https://www.cpc.ncep.noaa.gov/, last access: 3 May 2021.
National Statistical Office (NSO) [Papua New Guinea] and ICF: Papua New Guinea Demographic and Health Survey 2016-18, Port Moresby, Papua New Guinea, and Rockville, Maryland, USA, NSO and ICF, FR364 [data set], https://dhsprogram.com/pubs/pdf/FR364/FR364.pdf (last access: 13 May 2021), 2019.
Nicholls, N.: Atmospheric and Climatic Hazards: Improved Monitoring and
Prediction for Disaster Mitigation, Nat. Hazards, 23, 137–155, https://doi.org/10.1023/A:1011130223164, 2001.
Pacific Islands Forum Secretariat: 2015 Pacific Regional MDG Tracking
Report, Fiji, 1–166, ISBN 978-982-202-041-0, 2015.
Peskun, P. H.: Two-Tailed p-Values and Coherent Measures of Evidence,
Am. Stat., 74, 80–86, https://doi.org/10.1080/00031305.2018.1475304, 2020.
Pulwarty, R. S. and Sivakumar, M. V. K.: Information systems in a changing
climate: Early warnings and drought risk management, Weather and Climate
Extremes, 3, 14–21, https://doi.org/10.1016/j.wace.2014.03.005, 2014.
Rahmati, O., Panahi, M., Kalantari, Z., Soltani, E., Falah, F., Dayal, K.
S., Mohammadi, F., Deo, R. C., Tiefenbacher, J., and Tien Bui, D.:
Capability and robustness of novel hybridized models used for drought hazard
modeling in southeast Queensland, Australia, Sci. Total Environ., 718, 134656, https://doi.org/10.1016/j.scitotenv.2019.134656, 2020.
RIMES and Papua New Guinea National Weather Service: ENSO Impact Outlook:
Papua New Guinea 2017/2018 (La Niña), Papua New Guinea, https://reliefweb.int/report/papua-new-guinea/enso-impact-outlook-papua-new-guinea-20172018-la-ni (last access: 10 June 2021), 2017.
Safavi, H., Khoshoei Esfahani, M., and Zamani, A.: Integrated Index for
Assessment of Vulnerability to Drought, Case Study: Zayandehrood River
Basin, Iran, Water Resour. Manag., 28, 1671–1688,
https://doi.org/10.1007/s11269-014-0576-4, 2014.
Schmidt, E., Gilbert, R., Holtemeyer, B., and Mahrt, K.: Poverty analysis in
the lowlands of Papua New Guinea underscores climate vulnerability and need
for income flexibility, Aust. J. Agr. Resour. Ec., 65, 171–191, https://doi.org/10.1111/1467-8489.12404, 2021.
Sharafi, L., Zarafshani, K., Keshavarz, M., Azadi, H., and Van Passel, S.:
Drought risk assessment: Towards drought early warning system and
sustainable environment in western Iran, Ecol. Indic., 114, 106276,
https://doi.org/10.1016/j.ecolind.2020.106276, 2020.
Smith, I., Moise, A., Inape, K., Murphy, B., Colman, R., Power, S., and
Chung, C.: ENSO-Related Rainfall Changes over the New Guinea Region, J. Geophys. Res.-Atmos., 118, 10665–10675, https://doi.org/10.1002/jgrd.50818, 2013.
Sun, C., Choy, S., Chua, Z., Aitkenhead, I., and Kuleshov, Y.: GEOGRAPHIC INFORMATION SYSTEM FOR DROUGHT RISK MAPPING IN AUSTRALIA – DROUGHT RISK ANALYSER WEB APP, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-3/W1-2020, 139–144, https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-139-2020, 2020.
Svoboda, M. and Fuchs, B.: Handbook of Drought Indicators and Indices, World Meteorological Organization (WMO) and Global Water Partnership (GWP), ISBN 9781315265551, 2016.
United Nations Development Programme (UNDP): Climate risk, vulnerability and risk assessment in the New Ireland province in Papua New Guinea, Antea Group, Belgium, Document ID: 2291483035, https://info.undp.org/docs/pdc/Documents/PNG/Report_Climate%20Risk%20Vulnerability%20Assessment_New%20Ireland.pdf (last access: 24 May 2021), 2017a.
United Nations Development Programme (UNDP): Climate risk, vulnerability and risk assessment in the Northern province in Papua New Guinea, Antea Group, Belgium, Document ID: 2291483031, https://info.undp.org/docs/pdc/Documents/PNG/Report_Climate%20Risk%20Vulnerability%20Assessment_Northern.pdf (last access: 24 May 2021), 2017b.
United Nations Development Programme (UNDP): Climate risk, vulnerability and risk assessment in the East Sepik province in Papua New Guinea, Antea Group, Belgium, Document ID: 2291483036, https://info.undp.org/docs/pdc/Documents/PNG/Report_Climate%20Risk%20Vulnerability%20Assessment_East%20Sepik.pdf (last access: 24 May 2021), 2017c.
Varotsos, C. A., Cracknell, A. P., and Efstathiou, M. N.: The global
signature of the El Niño/La Niña Southern Oscillation, Int.
J. Remote Sens., 39, 5965–5977, https://doi.org/10.1080/01431161.2018.1465617, 2018.
Whitfield, S., Beauchamp, E., Boyd, D. D., Burslem, D., Byg, A., Colledge,
F., Cutler, M. E. J., Didena, M., Dougill, A., Foody, G., Goodbold, J. A.,
Hazenbosch, M., Hirons, M., Speranza, C. I., Jew, E., Lacambra, C.,
Mkwambisi, D., Moges, A., Morel, A., Morris, R., Novo, P., Rueda, M., Smith,
H., Solan, M., Spencer, T., Thornton, A., Touza, J., and White, P. C. L.:
Exploring temporality in socio-ecological resilience through experiences of
the 2015–16 El Niño across the Tropics, Glob. Environ. Change,
55, 1-14, https://doi.org/10.1016/j.gloenvcha.2019.01.004, 2019.
Wilhelmi, O. V. and Wilhite, D. A.: Assessing Vulnerability to Agricultural
Drought: A Nebraska Case Study, Nat. Hazards, 25, 37–58, https://doi.org/10.1023/A:1013388814894, 2002.
Wilhite, D. A., Sivakumar, M. V. K., and Pulwarty, R.: Managing drought risk
in a changing climate: The role of national drought policy, Weather and
Climate Extremes, 3, 4–13, https://doi.org/10.1016/j.wace.2014.01.002, 2014.
World Food Programme: The Impact of Drought related to El Niño, Papua
New Guinea, https://reliefweb.int/report/papua-new-guinea/papua-new-guinea-impact-drought-related-el-ni-o-10-april-2019 (last access: 10 June 2021), 2019.
Wu, H. and Wilhite, D. A.: An Operational Agricultural Drought Risk
Assessment Model for Nebraska, USA, Nat. Hazards, 33, 1–21, https://doi.org/10.1023/B:NHAZ.0000034994.44357.75, 2004.
Zhao, J., Zhang, Q., Zhu, X., Shen, Z., and Yu, H.: Drought risk assessment
in China: Evaluation framework and influencing factors, Geography and
Sustainability, 3, 220–228, https://doi.org/10.1016/j.geosus.2020.06.005, 2020.
Short summary
A case study assessing drought risk in Papua New Guinea (PNG) provinces for retrospective years (2014–2020) was conducted to demonstrate the development and validate the application of a tailored and semi-dynamic drought risk assessment methodology. Hazard, vulnerability, and exposure indicators appropriate for monitoring drought in PNG provinces were selected. The risk assessment accurately indicated a strong drought event in 2015–2016 and a moderate event in 2019.
A case study assessing drought risk in Papua New Guinea (PNG) provinces for retrospective years...
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