Alexander, D. E.: Impact, definition of, in: Encyclopedia of Crisis
Management, edited by: Penuel, K. B., Statler, M., and Hagen, R., SAGE
Publication, Thousands Oaks, CA, 488–490, https://doi.org/10.4135/9781452275956.n167, 2013.
Birkmann, J., Kienberger, S., and Alexander, D. E. (Eds.): Assessment of
Vulnerability to Natural Hazards: A European Perspective, Elsevier,
Amsterdam, the Netherlands, https://doi.org/10.1016/C2012-0-03330-3, 2014.
Blong, R.: A review of damage intensity scales, Nat. Hazards, 29, 57–76,
https://doi.org/10.1023/A:1022960414329, 2003.
Burton, C. G.: Social vulnerability and hurricane impact modelling, Nat.
Hazards Rev., 11, 58–68, https://doi.org/10.1061/(ASCE)1527-6988(2010)11:2(58), 2010.
Byun, H.-R. and Wilhite, D. A.: Objective quantification of drought severity
and duration, J. Climate, 12, 2747–2756, https://doi.org/10.1175/1520-0442(1999)012<2747:OQODSA>2.0.CO;2, 1999.
Choi, E., Ha, J.-G., Hahm, D., and Kim, M. K.: A review of multihazard risk
assessment: Progress, potential, and challenges in the application to
nuclear power plants, Int. J. Disast. Risk Re., 53, 101933, https://doi.org/10.1016/j.ijdrr.2020.101933, 2021.
Coburn, A. and Spence, R.: Earthquake Protection, 2nd edn., John Wiley &
Sons, Ltd, Chichester, UK, ISBN 978-0470855171, 2002.
Dilley, M., Chen, R. S., Deichmann, U., Lerner-Lam, A. L., Arnold, M., Agwe,
J., Buys, P., Kjekstad, O., Lyon, B., and Yetman, G.: Natural Disaster
Hotspots: A Global Risk Analysis, The World Bank, Washington, DC, ISBN 978-0821359303,
http://hdl.handle.net/10986/7376 (last access: 20 December 2022), 2005.
Doss-Gollin, J., Farnham, D. J., Lall, U., and Modi, V.: How unprecedented
was the February 2021 Texas cold snap?, EarthArXiv, https://doi.org/10.31223/X5003J, 2021.
Dotzek, N.: Derivation of physically motivated wind speed scales, Atmos.
Res., 93, 564–574, https://doi.org/10.1016/j.atmosres.2008.10.015, 2009.
Emanuel, K.: Increasing destructiveness of tropical cyclones over the past
30 years, Nature, 436, 686–688, https://doi.org/10.1038/nature03906, 2005.
Fujita, T. T.: Proposed Characterization of Tornadoes and Hurricanes by Area
and Intensity, the University of Chicago, Chicago, IL,
https://ntrs.nasa.gov/citations/19720008829 (last access: 20 December 2022), 1971.
Fujita, T. T.: Tornadoes and downbursts in the context of generalized
planetary scales, J. Atmos. Sci., 38, 1511–1534, https://doi.org/10.1175/1520-0469(1981)038<1511:TADITC>2.0.CO;2, 1981.
Gardoni, P. and Murphy, C.: Gauging the societal impacts of natural
disasters using a capability approach, Disasters, 34, 619–636, https://doi.org/10.1111/j.1467-7717.2010.01160.x, 2010.
Grünthal, G. (Ed.): European Macroseismic Scale 1998, European
Seismological Commission, Luxembourg,
http://www.bcsf.prd.fr/EMS98_Original_english.pdf (last access: 20 December 2022), 1998.
Hebert, C. G., Weinzapfel, R. A., and Chambers, M. A.: Hurricane Severity
Index: A new way of estimating a tropical cyclone's destructive potential,
19th Conference on Probability and Statistics, 20–24 January 2008, New Orleans, LA, USA, 2008.
Highfield, W. E., Peacock, W. G., and Van Zandt, S.: Mitigation planning:
Why hazard exposure, structural vulnerability, and social vulnerability
matter, J. Plan. Educ. Res., 34, 287–300, https://doi.org/10.1177/0739456X14531828, 2014.
Hillier, J. K. and Dixon, R. S.: Seasonal impact-based mapping of compound
hazards, Environ. Res. Lett., 15, 114013, https://doi.org/10.1088/1748-9326/abbc3d, 2020.
Hillier, J. K., Macdonald, N., Leckebusch, G. C., and Stavrinides, A.:
Interactions between apparently “primary” weather-driven hazards and their
cost, Environ. Res. Lett., 10, 104003, https://doi.org/10.1088/1748-9326/10/10/104003, 2015.
Hillier, J. K., Matthews, T., Wilby, R., and Murphy, C.: Multi-hazard
dependencies can increase or decrease risk, Nat. Clim. Change, 10, 595–598,
https://doi.org/10.1038/s41558-020-0832-y, 2020.
Hunt, E. D., Hubbard, K. G., Wilhite, D. A., Arkebauer, T. J., and Dutcher,
A. L.: The development and evaluation of a soil moisture index, Int. J.
Climatol., 29, 747–759, https://doi.org/10.1002/joc.1749, 2009.
Jolliffe, I. T.: Principal Component Analysis, 2nd edn., Springer, New
York, NY, https://doi.org/10.1007/b98835, 2002.
Jolliffe, I. T. and Cadima, J.: Principal component analysis: A review and
recent developments, Phil. Trans. R. Soc. A, 374, 20150202, https://doi.org/10.1098/rsta.2015.0202, 2016.
Kaiser, A., Holden, C., Beavan, J., Beetham, D., Benites, R., Celentano, A.,
Collett, D., Cousins, J., Cubrinovski, M., Dellow, G., Denys, P., Fielding,
E., Fry, B., Gerstenberger, M., Langridge, R., Massey, C., Motagh, M.,
Pondard, N., McVerry, G., Ristau, J., Stirling, M., Thomas, J., Uma, S. R.,
and Zhao, J.: The
Mw 6.2 Christchurch earthquake of February 2011: Preliminary report, New Zeal. J. Geol. Geop., 55, 67–90, https://doi.org/10.1080/00288306.2011.641182, 2012.
Kanamori, H.: The energy release in great earthquakes, J. Geophys. Res., 82,
2981–2987, https://doi.org/10.1029/JB082i020p02981, 1977.
Katsumata, A.: Comparison of magnitudes estimated by the Japan
Meteorological Agency with moment magnitudes for intermediate and deep
earthquakes, B. Seismol. Soc. Am., 86, 832–842, https://doi.org/10.1785/BSSA0860030832, 1996.
Keller, A. Z., Meniconi, M., Al-Shammari, I., and Cassidy, K.: Analysis of
fatality, injury, evacuation and cost data using the Bradford Disaster
Scale, Disast. Prev. Manag., 6, 33–42, https://doi.org/10.1108/09653569710162433, 1997.
Klijn, F., Kreibich, H., de Moel, H., and Penning-Rowsell, E.: Adaptive
flood risk management planning based on a comprehensive flood risk
conceptualisation, Mitig. Adapt. Strateg. Glob. Change, 20, 845–864,
https://doi.org/10.1007/s11027-015-9638-z, 2015.
Lindell, M. K.: Disaster studies, Curr. Sociol. Rev., 61, 797–825,
https://doi.org/10.1177/0011392113484456, 2013.
Lindell, M. K. and Prater, C. S.: Assessing community impacts of natural
disasters, Nat. Hazards Rev., 4, 176–185, https://doi.org/10.1061/(ASCE)1527-6988(2003)4:4(176), 2003.
Malherbe, J., Smit, I. P. J., Wessels, K. J., and Beukes, P. J.: Recent
droughts in the Kruger National Park as reflected in the extreme climate
index, Afr. J. Range For. Sci., 37, 1–17, https://doi.org/10.2989/10220119.2020.1718755, 2020.
McEntire, D. A.: Why vulnerability matters: Exploring the merit of an
inclusive disaster reduction concept, Disast. Prev. Manag., 14, 206–222,
https://doi.org/10.1108/09653560510595209, 2005.
McKee, T. B., Doesken, N. J., and Kleist, J.: The relationship of drought
frequency and duration to time scales, in: Proceedings of the Eighth
Conference on Applied Climatology, 17–22 January 1993, Anaheim, CA, USA,
179–183,
https://climate.colostate.edu/pdfs/relationshipofdroughtfrequency.pdf (last access: 20 December 2022), 1993.
Meaden, G. T., Kochev, S., Kolendowicz, L., Kosa-Kiss, A., Marcinoniene, I.,
Sioutas, M., Tooming, H., and Tyrrell, J.: Comparing the theoretical
versions of the Beaufort scale, the T-scale and the Fujita scale, Atmos.
Res., 83, 446–449, https://doi.org/10.1016/j.atmosres.2005.11.014, 2007.
Mitchell-Wallace, K., Jones, M., Hillier, J., and Foote, M. (Eds.): Natural
Catastrophe Risk Management and Modelling: A Practitioner's Guide, John
Wiley & Sons, Ltd, Chichester, UK, ISBN 978-1118906040, 2017.
Mudd, L., Rosowsky, D., Letchford, C., and Lombardo, F.: Joint probabilistic
wind–rainfall model for tropical cyclone hazard characterization, J.
Struct. Eng., 143, 04016195, https://doi.org/10.1061/(ASCE)ST.1943-541X.0001685, 2017.
Nigg, J. M. and Mileti, D.: Natural hazards and disasters, Disaster Research
Center, DE, Preliminary Paper, 261,
https://udspace.udel.edu/bitstream/handle/19716/280/PP+261.pdf?sequence=1 (last access: 20 December 2022), 1997.
O'Keefe, P., Westgate, K., and Wisner, B.: Taking the naturalness out of
natural disasters, Nature, 260, 566–567, https://doi.org/10.1038/260566a0, 1976.
Palmer, W. C.: Meteorological Drought, US Department of Commerce,
Washington, DC,
https://www.droughtmanagement.info/literature/USWB_Meteorological_Drought_1965.pdf (last access: 20 December 2022), 1965.
Palmer, W. C.: Keeping track of crop moisture conditions, nationwide: The
new Crop Moisture Index, Weatherwise, 21, 156–161, https://doi.org/10.1080/00431672.1968.9932814, 1968.
Paprotny, D., Sebastian, A., Morales-Nápoles, O., and Jonkman, S. N.:
Trends in flood losses in Europe over the past 150 years, Nat. Commun., 9,
1985, https://doi.org/10.1038/s41467-018-04253-1, 2018
Peduzzi, P., Dao, H., Herold, C., and Mouton, F.: Assessing global exposure and vulnerability towards natural hazards: the Disaster Risk Index, Nat. Hazards Earth Syst. Sci., 9, 1149–1159, https://doi.org/10.5194/nhess-9-1149-2009, 2009.
Potter, S.: Fine-tuning Fujita: After 35 years, a new scale for rating
tornadoes takes effect, Weatherwise, 62, 64–71, https://doi.org/10.3200/WEWI.60.2.64-71, 2007.
Powell, M. D. and Reinhold, T. A.: Tropical cyclone destructive potential by
integrated kinetic energy, B. Am. Meteorol. Soc., 88, 513–526, https://doi.org/10.1175/BAMS-88-4-513, 2007.
Raphson, J.: Analysis Aequationum Universalis Seu Ad Aequationes Algebraicas
Resolvendas Methodus Generalis, & Expedita, Ex Nova Infinitarum Serierum
Methodo, Deducta Ac Demonstrata: Cui Annexum Est de Spatio Reali, Seu Ente
Infinito Conamen Mathematico-Metaphysicum, Braddyll, London, Kingdom of
England, https://doi.org/10.3931/e-rara-13516, 1697.
Rautian, T. G., Khalturin, V. I., Fujita, K., Mackey, K. G., and Kendall, A.
D.: Origins and methodology of the Russian Energy K-Class System and its
relationship to magnitude scales, Seismol. Res. Lett., 78, 579–590,
https://doi.org/10.1785/gssrl.78.6.579, 2007.
Richter, C. F.: An instrumental earthquake magnitude scale, B. Seismol. Soc.
Am., 25, 1–32, https://doi.org/10.1785/BSSA0250010001, 1935.
Rohn, E. and Blackmore, D.: A unified localizable emergency events scale,
Int. J. Inf. Syst. Crisis Res. Manag., 1, 1–14, https://doi.org/10.4018/jiscrm.2009071001, 2009.
Rohn, E. and Blackmore, D.: The augmented unified localizable crisis scale,
Technol. Forecast. Soc. Chang., 100, 186–197, https://doi.org/10.1016/j.techfore.2015.06.017, 2015.
Serva, L., Vittori, E., Comerci, V., Esposito, E., Guerrieri, L., Michetti,
A. M., Mohammadioun, B., Mohammadioun, G. C., Porfido, S., and Tatevossian,
R. E.: Earthquake hazard and the Environmental Seismic Intensity (ESI)
scale, Pure Appl. Geophys., 173, 1479–1515, https://doi.org/10.1007/s00024-015-1177-8, 2016.
Shafer, B. A. and Dezman, L. E.: Development of a surface water supply index
(SWSI) to assess the severity of drought conditions in snowpack runoff
areas, in: Proceedings of the 50th Annual Western Snow Conference, 19–21 April 1982, Reno, NV, USA,
https://westernsnowconference.org/sites/westernsnowconference.org/PDFs/1982Shafer.pdf (last access: 20 December 2022), 1982.
Shukla, S. and Wood, A. W.: Ise of a standardized runoff index for
characterizing hydrologic drought, Geophys. Res. Lett., 35, L02405,
https://doi.org/10.1029/2007GL032487, 2008.
Simpson, R. H. and Saffir, H.: The hurricane Disaster–Potential Scale,
Weatherwise, 27, 169–186, https://doi.org/10.1080/00431672.1974.9931702, 1974.
United States Geological Survey (USGS): M9.2 Alaska earthquake and tsunami of March 27, 1964, USGS, Reston, VA, USA,
https://earthquake.usgs.gov/earthquakes/events/alaska1964/ (last access: 20 December 2022), 2021.
van de Lindt, J. W., Peacock, W. G., Mitrani-Reiser, J., Rosenheim, N.,
Deniz, D., Dillard, M., Tomiczek, T., Koliou, M., Graettinger, A., Crawford,
P. S., Harrison, K., Barbosa, A., Tobin, J., Helgeson, J., Peek, L., Memari,
M., Sutley, E. J., Hamideh, S., Gu, D., Cauffman, S., and Fung, J.:
Community resilience-focused technical investigation of the 2016 Lumberton,
North Carolina, flood: An interdisciplinary approach, Nat. Hazards Rev., 21,
04020029, https://doi.org/10.1061/(ASCE)NH.1527-6996.0000387, 2020.
Wald, D. J., Worden, B. C., Quitoriano, V., and Pankow, K. L.: ShakeMap
Manual: Technical Manual, User's Guide, and Software Guide, US Geological
Survey, Reston, VA, USA, https://doi.org/10.3133/tm12A1, 2006.
Wang, Y. V.: Empirical local hazard models for bolide explosions, Nat.
Hazards Rev., 21, 04020037, https://doi.org/10.1061/(ASCE)NH.1527-6996.0000405, 2020.
Wang, Y. V. and Sebastian, A.: Data for deriving equivalent hazard magnitude
scale (Version V2), University of North Carolina Dataverse [data set, code], https://doi.org/10.15139/S3/DJV7CR, 2020.
Wang, Y. V. and Sebastian, A.: Community flood vulnerability and risk
assessment: An empirical predictive modelling approach, J. Flood Risk
Manag., 14, e12739, https://doi.org/10.1111/jfr3.12739, 2021.
Wang, Y. V. and Sebastian, A.: Murphy Scale: A locational equivalent
intensity scale for hazard events, Risk Anal., https://doi.org/10.1111/risa.13933, online first, 2022.
Wang, Y. V., Tabandeh, A., Gardoni, P., Hurt, T. M., Hartman, E. R., and
Myers, N. R.: Assessing socioeconomic impacts of cascading infrastructure
disruptions using the Capability Approach, US Army Engineer Research and
Development Center Construction Engineering Research Lab, Champaign, IL, USA, 130 pp.,
https://apps.dtic.mil/sti/citations/AD1016582 (last access: 20 December 2022), 2016.
Wang, Y. V., Gardoni, P., Murphy, C., and Guerrier, S.: Predicting fatality
rates due to earthquakes accounting for community vulnerability, Earthq.
Spectra, 35, 513–536, https://doi.org/10.1193/022618EQS046M, 2019.
Wang, Y. V., Gardoni, P., Murphy, C., and Guerrier, S.: Worldwide
predictions of earthquake casualty rates with seismic intensity measure and
socioeconomic data: A fragility-based formulation, Nat. Hazards Rev., 21,
04020001, https://doi.org/10.1061/(ASCE)NH.1527-6996.0000356, 2020.
Wang, Y. V., Gardoni, P., Murphy, C., and Guerrier, S.: Empirical predictive
modelling approach to quantifying social vulnerability to natural hazards,
Ann. Am. Assoc. Geogr., 111, 1559–1583, https://doi.org/10.1080/24694452.2020.1823807, 2021.
Wisner, B., Blaikie, P., Cannon, T., and Davis, I.: At Risk: Natural
Hazards, People's Vulnerability and Disasters, 2nd edn., Routledge, London,
UK, https://doi.org/10.4324/9780203714775, 2004.
Wood, H. O. and Neumann, F.: Modified Mercalli intensity scale of 1931, B.
Seismol. Soc. Am., 21, 277–283, https://doi.org/10.1785/BSSA0210040277, 1931.
