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Publication List 2018

Feb 07,2021

Anderson-Berry, L., T. Achilles, S. Panchuk, B. Mackie, S. Canterford, A. Leck and D.K. Bird, 2018, Sending a message: How significant events have influenced the warnings landscape in Australia, International Journal of Disaster Risk Reduction, 30(A):5-17.

Arnault, J., T. Rummler, F. Baur, S. Lerch, S. Wagner, B. Fersch, Z. Zhang, N. Kerandi, C. Keil, and H. Kunstmann, 2018: Precipitation Sensitivity to the Uncertainty of Terrestrial Water Flow in WRF-Hydro: An Ensemble Analysis for Central Europe. J. Hydrometeor., 19, 1007–1025, https://doi.org/10.1175/JHM-D-17-0042.1.

Bachmann, K., C. Keil, and M. Weissmann, 2018, Impact of Radar Data Assimilation and Orography on Predictability of Deep Convection. Q. J. Roy. Meteorol. Soc., DOI:10.1002/qj.3412.

Balay-As, M., J. Marlowe and J.C. Gaillard, 2018, Deconstructing the binary between indigenous and scientific knowledge in disaster risk reduction: Approaches to high impact weather hazards, Int. J. Disaster Risk Reduction, 30, 18- 24.

Baran, S. and S. Lerch, 2018, Combining predictive distributions for the statistical post-processing of ensemble forecasts, Int. J. Forecast., 34, 477-496.

Barthlott, C. and C. Hoose, 2018: Aerosol Effects on Clouds and Precipitation over Central Europe in Different Weather Regimes. J. Atmos. Sci., 75, 4247–4264, https://doi.org/10.1175/JAS-D-18-0110.1.

Baumgart, M., M. Riemer, V. Wirth, F. Teubler, S. T. K. Lang, 2018, Potential-vorticity dynamics of forecast errors: A quantitative case study, Mon. Wea. Rev., early online, DOI:10.1175/MWR-D-17-0196.1.

Baur, F., C. Keil, and G. C. Craig, 2018, Soil Moisture - Precipitation Coupling over Central Europe: Interactions between surface anomalies at different scales and its dynamical implication. Q. J. Roy. Meteorol. Soc.  144, 2863-2875.

Bostrom,A., R. Morss, J. K. Lazo, J. Demuth, H. Lazrus, 2018, Eyeing the storm: How residents of coastal Florida see hurricane forecasts and warnings, , Int. J. Disaster Risk Reduction, 30, 105-119.

Brunet, D., D. Sills, B. Casati, 2018, A Spatial-Temporal User-Centric Distance. Meteorol. Z., 27, 441-453.

Casteel, M.A., 2018, An empirical assessment of impact based tornado warnings on shelter in place decisions, Int. J. Disaster Risk Reduction, 30, 25-33.

Chen, Y. and Y. Luo, 2018, Analysis of Paths and Sources of Moisture for the South China Rainfall during the Presummer Rainy Season of 1979-2014. J. Meteor. Res., 32(5), 744-757.

Ciurean, R. et al, 2018, Review of multi-hazards research and risk assessments. British Geological Survey OR/18/057. http://nora.nerc.ac.uk/id/eprint/524399/.

Cooper, E. S., S. L. Dance, J. Garcia-Pintado, N. K. Nichols and P. J. Smith, 2018, Observation impact, domain length and parameter estimation in data assimilation for flood forecasting. Environmental Modelling & Software 104: 199–214.

Craig, G. C. and T. Selz, 2018, Mesoscale dynamical regimes in the midlatitudes, Geophys. Res. Lett., 45, DOI:10.1002/2017GL076174.

Cutter, S.L., C.T. Emrich, M. Gall, and R. Reeves, 2018, Flash flood risk and the paradox of urban development, Natural Hazards Review, 19(1):05017005. DOI: 10.1061/(ASCE)NH.1527-6996.0000268.

Dorninger, M., E. Gilleland, B. Casati, M. P. Mittermaier, E. E. Ebert, B. G. Brown and L. J. Wilson, 2018, The set-up of the Mesoscale Verification Inter-Comparison over Complex Terrain (MesoVICT) Project. Bull. Am. Meteorol. Soc., doi: 10.1175/BAMS-D-17-0164.1.

Dou, J. and S. Miao, 2017, Impact of mass human migration during Chinese New Year on Beijing urban heat island, International Journal of Climatology, 37(11): 4199–4210.

Ebert, E., B. Brown, M. Göber, T. Haiden, M. Mittermaier, P. Nurmi, L. Wilson, S. Jackson, P. Johnston and D. Schuster, 2018, The WMO Challenge to Develop and Demonstrate the Best New User-Oriented Forecast Verification Metric.  Meteorol. Zeit., 27(6), 435–440.

Flack, D. L. A., S. L. Gray, R. S. Plant, H. W. Lean and G. C. Craig, 2018, Convective-Scale Perturbation Growth across the Spectrum of Convective Regimes. Monthly Weather Review 146(1): 387–405.

Fowler, A. M., S. L. Dance and J. A. Waller, 2018, On the interaction of observation and prior error correlations in data assimilation. Quarterly Journal of the Royal Meteorological Society 144(710): 48–62.

Fragkoulidis, G., V. Wirth, P. Bossmann and A.H. Fink, 2018, Linking Northern Hemisphere temperature extremes to Rossby wave packets, Q.J.R. Meteorol. Soc., 144, 553-566, doi:10.1002/qj.3228.

Furtado, K., P. R. Field, Y. Luo, X. Liu, Z. Guo, T. Zhou, B.J. Shipway, A.A. Hill and J.M. Wilkinson, 2018, Evaluation of the Effects of Cloud-Microphysics on Convection-permitting Simulations of Heavy Rainfall over South China during SCMREX. J. Geophys. Res., 123, 10,477-10,505.

Gentine, P., M. Pritchard, S. Rasp, G. Reinaudi and G. Yacalis, 2018, Could machine learning break the convection parameterization deadlock?, Geophys. Res. Lett., https://doi.org/10.1029/2018GL078202.

Ghinassi, P., G. Fragkoulidis, and V. Wirth, 2018: Local Finite-Amplitude Wave Activity as a Diagnostic for Rossby Wave Packets. Mon. Wea. Rev., 146, 4099–4114, https://doi.org/10.1175/MWR-D-18-0068.1.

Gladfelter, S., 2018, The politics of participation in community-based early warning systems: Building resilience or precarity through local roles in disseminating disaster information?, Int. J. Disaster Risk Reduction, 30, 120-131.

Fleming L.E., N. Tempini, H. Gordon-Brown, G. Nichols, C. Sarran, P. Vineis, G. Leonardi, B. Golding, A. Haines, A. Kessel, V. Murray, M. Depledge, S. Leonelli, 2018, Big Data in Environment and Human Health: Challenges and Opportunities. In Oxford Research Encyclopedia on Environment and Human Health. DOI:10.1093/acrefore/9780199389414.013.541.

Grams, C. M., L. Magnusson, and E. Madonna, 2018. An atmospheric dynamics perspective on the amplification and propagation of forecast error in numerical weather prediction models: A case study. Quart. J. Roy. Meteorol. Soc., 144, 2577–2591.

Harvey, B., Methven, J. and Ambaum, M., 2018, An adiabatic mechanism for the reduction of jet meander amplitude by potential vorticity filamentation. Journal of the Atmospheric Sciences, 75. pp. 4091-4106. ISSN 1520-0469 doi: https://doi.org/10.1175/JAS-D-18-0136.1.

He, X., Y. Li, X. Wang, L. Chen, B. Yu, Y. Zhang, and S. Miao, 2018, High-resolution Dataset of Urban Canopy Parameters for Beijing and Its Application to the Integrated WRF/Urban Modelling System, Journal of Cleaner Production, 208: 373-383.

Huang, L., Y. Luo, and D.L. Zhang, 2018, The Relationship between Anomalous Presummer Extreme Rainfall over South China and Synoptic Disturbances. J. Geophys. Res., 123, 3395-3413.

Janjić, T., N. Bormann, M. Bocquet, J. A. Carton, S. E. Cohn, S. L. Dance, S. N. Losa, N. K. Nichols, R. Potthast, J. A. Waller and P. Weston, 2018, On the representation error in data assimilation.” Quarterly Journal of the Royal Meteorological Society 144(713): 1257–1278.

Jiang, Z., D-L. Zhang, R. Xia and T. Qian, 2017, Diurnal Variations of PreSummer Rainfall over Southern China. J Climate, 30, 755-773.

Jon,I., S.-K. Huang, M. K. Lindell, 2018, Perceptions and reactions to tornado warning polygons: Would a gradient polygon be useful?, Int. J. Disaster Risk Reduction, 30, 132-144.

Kern M., T. Hewson, A. Schäfler, R. Westermann, and M. Rautenhaus, 2018, Interactive 3D Visual Analysis of Atmospheric Fronts, IEEE Trans. Visualization and Computer Graphics, doi:10.1109/tvcg.2018.2864806. 

Kern, M., T. Hewson, F. Sadlo, R. Westermann, and M. Rautenhaus, 2018, Robust Detection and Visualization of Jet-Stream Core Lines in Atmospheric Flow. IEEE Trans. Visual Computer Graphics, 24, 893–902.

Kilavi M., MacLeod D., Ambani M., Robbins J., Dankers R., Graham R., Titley H., Salih A.A.M. and M. Todd, 2018, Extreme rainfall and flooding over Central Kenya including Nairobi City during the Long-Rains season 2018: Causes, predictability and potential for early warning and actions. Atmosphere, 9, 12,  https://doi.org/10.3390/atmos9120472.

Kox,T., H. Kempf, C. Lüder, R. Hagedorn, L. Gerhold, 2018, Towards user-orientated weather warnings, Int. J. Disaster Risk Reduction, 30, 74-80.

Kox, T., C. Lüder, L. Gerhold, 2018, Anticipation and Response. Emergency Services in Severe Weather Situations in Germany. International Journal of Disaster Risk Science, 9 (1), 116–128.

Kumpf, A., B. Tost, M. Baumgart, M. Riemer, R. Westermann, and M. Rautenhaus, 2018, Visualizing confidence in cluster-based ensemble weather forecast analyses, IEEE Trans. Visualization and Computer Graphics, 24, doi: 10.1109/TVCG.2017.2745178.

Kumpf, A., M. Rautenhaus, M. Riemer and R. Westermann, 2018: Visual Analysis of the Temporal Evolution of Ensemble Forecast Sensitivities. IEEE Transactions on Visualization and Computer Graphics.,doi: 10.1109/TVCG.2018.2864901.

Kunz, M., U. Blahak, J. Handwerker, M. Schmidberger, J.P. Heinz, S. Mohr, E. Fluck and K.M. Bedka, 2018, The severe hailstorm in southwest Germany on 28 July 2013: characteristics, impacts and meteorological conditions, Quarterly Journal of the Royal Meteorological Society, 144(710):231-250.

Lawson, J. R., J. S. Kain, N. Yussouf, D. C. Dowell, D. M. Wheatley, K. H. Knopfmeier and T. A. Jones, 2018: Advancing from Convection-allowing NWP to Warn-on-Forecast: Evidence of progress. Wea. Forecasting, 33, 599-607, DOI: https://doi.org/10.1175/WAF-D-17-0145.1.

Lentink, H.S., C.M. Grams, M. Riemer, and S.C. Jones, 2018: The Effects of Orography on the Extratropical Transition of Tropical Cyclones: A Case Study of Typhoon Sinlaku (2008). Mon. Wea. Rev., 146, 4231–4246, https://doi.org/10.1175/MWR-D-18-0150.1.

Lewis,H. W., J. M. C. Sanchez, J. Graham, A. Saulter, J. Bornemann, A. Arnold, J. Fallmann, C. Harris, D. Pearson, S. Ramsdale, A. Martínez-de la Torre, L. Bricheno, E. Blyth, V. A. Bell, H. Davies, T. R. Marthews, C. O’Neill, H. Rumbold, E. O’Dea, A. Brereton, K. Guihou, A. Hines, M. Butenschon, S. J. Dadson, T. Palmer, J. Holt, N. Reynard, M. Best, J. Edwards and J. Siddorn1, 2018, The UKC2 regional coupled environmental prediction system, Geosci Model Dev, 11, 1-42, https://doi.org/10.5194/gmd-11-1-2018.

Li, J., J. Sun, M. Zhou, Z. Cheng, Q. Li, X. Cao, and J. Zhang, 2018, Observational analyses of dramatic developments of a severe air pollution event in the Beijing area. Atmos. Chem. Phys., 18, 3919–3935.

Liang,X., S. Miao, J. Li, R. Bornstein, X. Zhang, Y. Gao, F. Chen, X. Cao, Z. Cheng, C. Clements, W. Dabberdt, A. Ding, D. Ding, J. Dou, J. Dou, Y. Dou, S. Grimmond, J. Gonzalez-cruz, J. He, M. Huang, X. Huang, S. Ju, Q. Li, D. Niyogi, J. Quan, J. Sun, J. Sun, M. Yu, J. Zhang, Y. Zhang, X. Zhao, Z. Zheng, M. Zhou, 2018, SURF: Understanding and predicting urban convection and haze, Bull. Am. Meteorol. Soc., 99(7): 1391-1413.

Liu, X., T-F. Zheng, Q-L Wan and X. Yu, 2018, Spatio-temporal distribution characteristics and variation trends of hierarchical precipitation in Guangdong province over the past 50 years. J. Trop. Meteor., 24(1), 82-91.

Liu, X., Q.L. Wan, H. Wang, H. Xiao, Y. Zhang, T-F. Zheng and L. Feng, 2018, Raindrop Size Distribution Parameters Retrieved from Guangzhou S-band Polarimetric Radar Observations. J. Meteor. Res., 32, 571-583.

Liu, X., Y. Luo, Z. Guan and D-L. Zhang, 2018, An Extreme Rainfall Event in Coastal South China during SCMREX-2014: Formation and Roles of Rainband and Echo Trainings. J. Geophys. Res., 123, 9256-9278.

Losee, J.E., S. Joslyn, 2018, The need to trust: How features of the forecasted weather influence forecast trust, Int. J. Disaster Risk Reduction, 30, 95-104.

Manfreda, S., M. McCabe, P. Miller, R. Lucas, V. Madrigal, G. Mallinis, E. Ben-Dor, D. Helman, L. Estes, G. Ciraolo, J. Müllerová, F. Tauro, M. Isabel de Lima, J. Pedroso de Lima, A. Maltese, F. Francés, K. Caylor, M. Kohv, M. Perks and B. Tóth, 2018, On the Use of Unmanned Aerial Systems for Environmental Monitoring, doi: 10.20944/preprints201803.0097.v1.

Martinez-Alvarado, O., J. Maddison, S. Gray and K. Williams, 2018, Atmospheric blocking and upper-level Rossby wave forecast skill dependence on model configuration. Quarterly Journal of the Royal Meteorological Society, 144 (716). pp. 2165-2181. ISSN 1477-870X doi: https://doi.org/10.1002/qj.3326.

Martius, O., A. Hering, M. Kunz, A. Manzato, L. Nisi, and S. Trefalt, 2018, Challenges and recent advances in hail research, Bulletin of the American Meteorological Society, 99(3):ES51-ES54.

Mehring, P., H. Geoghegan, H. L. Cloke and J. M. Clark, 2018, What is going wrong with community engagement? How flood communities and flood authorities construct engagement and partnership working. Environmental Science & Policy 89: 109–115.

Miao Y., S. Miao, H. Zhang, 2018, Uncertainties in the impact of urbanization on heavy rainfall: case study of a rainfall event in Beijing on 7 August 2015, Journal of Geophysical Research – Atmospheres, 123: 6005-6021.

Morss, R.E., C. L. Cuite, Julie L. Demuth, William K. Hallman, Rachael L. Shwom, 2018, Is storm surge scary? The influence of hazard, impact, and fear-based messages and individual differences on responses to hurricane risks in the USA, Int. J. Disaster Risk Reduction, 30, 44-58.

Mortlock, T.R., Metters, D., Soderholm, J., Maher, J., Lee, S.B., Boughton, G., Stewart, N., Zavadil, E. and Goodwin, I.D., 2018. Extreme water levels, waves and coastal impacts during a severe tropical cyclone in northeastern Australia: a case study for cross-sector data sharing. Natural Hazards and Earth System Sciences, 18(9), pp.2603-2623.

Mu,D., T. R. Kaplan, R. Dankers, 2018, Decision making with risk-based weather warnings, Int. J. Disaster Risk Reduction, 30, 59-73.

Nairn, J., Ostendorf, B. and Bi, P., 2018. Performance of excess heat factor severity as a global heatwave health impact index. International journal of environmental research and public health, 15(11), p.2494.

Pantillon, F., Lerch, S., Knippertz, P. and Corsmeier, U., 2018, Forecasting wind gusts in winter storms using a calibrated convection‐permitting ensemble. Q. J. R. Meteorol. Soc., 144, 1864-1881, doi:10.1002/qj.3380.

Potter,S.H., P. V. Kreft, P. Milojev, C. Noble, B. Montz, A. Dhellemmes, R.J. Woods and S. Gauden-Ing, 2018, The influence of impact-based severe weather warnings on risk perceptions and intended protective actions, , Int. J. Disaster Risk Reduction, 30, 34-43.

Qian, Q., Y. Lin, Y. Luo, X. Zhao, Z. Zhao, Y. Luo and X. Liu, 2018, Sensitivity of a Simulated Squall Line during SCMREX to Parameterization of Microphysics. J. Geophys. Res., 123, 4197-4220.

Rasp, S., M. S. Pritchard, and P. Gentine, 2018, Deep learning to represent sub-grid processes in climate models. Proc. Natl. Acad. Sci., doi: 10.1073/pnas.1810286115.

Rasp, S. and S. Lerch, 2018, Neural networks for post-processing ensemble weather forecasts. Mon. Weather Rev., 146, 3885–3900. DOI:10.1175/MWR-D-18-0187.1.

Riboldi, J., M. Röthlisberger, and C. M. Grams, 2018. Rossby wave initiation by recurving tropical cyclones in the western North Pacific. Mon. Wea. Rev., 146, 1283–1301.

Robbins, J.C. and H.A. Titley, 2018, Evaluating high-impact precipitation forecasts from the Met Office Global Hazard Map (GHM) using a global impact database, Meteorological Applications, 25(4):548-560. DOI: 10.1002/met.1720.

Rodwell, M., D. S. Richardson, D. B. Parsons, and H. Wernli, 2018. Flow-dependent reliability: A path to more skillful ensemble forecasts. Bull. Amer. Meteor. Soc., 99, 1015–1026Rossi,C., F.S. Acerbo, K. Ylinen, I. Juga, A. Bosca, F. Tarasconi, M. Cristoforetti and  A. Alikadic, 2018, Early detection and information extraction for weather-induced floods using social media streams, Int. J. Disaster Risk Reduction, 30, 145-157.

Röthlisberger, M., O. Martius, and H. Wernli, 2018. Northern Hemisphere Rossby wave initiation events on the extratropical jet – a climatological analysis. J. Climate, 31, 743–760.

Y. M. Ruckstuhl, T. Janjić, 2018, Parameter and state estimation with ensemble Kalman filter based algorithms for convective‐scale applications, QJ, https://doi.org/10.1002/qj.3257.

Schäfler, A., Craig, G., Wernli, H., Arbogast, P., Doyle, J. D., McTaggart-Cowan, R., Methven, J., Rivière, G., Ament, F., Boettcher, M., Bramberger, M., Cazenave, Q., Cotton, R., Crewell, S., Delanoë, J., Dörnbrack, A., Ehrlich, A., Ewald, F., Fix, A., Grams, C. M., Gray, S. L., Grob, H., Groß, S., Hagen, M., Harvey, B., Hirsch, L., Jacob, M., Kölling, T., Konow, H., Lemmerz, C., Lux, O., Magnusson, L., Mayer, B., Mech, M., Moore, R., Pelon, J., Quinting, J., Rahm, S., Rapp, M., Rautenhaus, M., Reitebuch, O., Reynolds, C. A., Sodemann, H., Spengler, T., Vaughan, G., Wendisch, M., Wirth, M., Witschas, B., Wolf, K. and Zinner, T., 2018, The North Atlantic Waveguide and Downstream Impact Experiment. Bulletin of the American Meteorological Society, 99 (8). pp. 1607-1637. ISSN 1520-0477 doi: https://doi.org/10.1175/BAMS-D-17-0003.1.

Schlueter, A., A. H. Fink, P. Knippertz and P. Vogel, 2018, A systematic comparison of tropical waves over northern Africa. Part I: Influence on rainfall. J. Clim., DOI:10.1175/JCLI-D-18-0173.1.

Schneider, L., C. Barthlott, A.I. Barrett, C. Hoose, 2018, The precipitation response to variable terrain forcing over low‐mountain ranges in different weather regimes, Q. J. Roy. Meteorol. Soc., doi:10.1002/qj.3250.

Schröter, K., D. Molinari, M. Kunz, and H. Kreibich, 2018, Preface: Natural hazard event analysis for risk reduction and adaptation, Natural Hazards and Earth System Sciences, 18:963-968.

Selz, T., 2018, Estimating the intrinsic limit of predictability using a stochastic convection scheme. J. Atmos. Sci., DOI:10. 1175/JAS-D-17-0373.1.

Tabeart, J. M., S. L. Dance, S. A. Haben, A. S. Lawless, N. K. Nichols and J. A. Waller, 2018, The conditioning of least-squares problems in variational data assimilation.” Numerical Linear Algebra with Applications 25(5): e2165.

Speight, L., S. Cole, R. Moore, C. Pierce, B. Wright, B. Golding, M. Cranston, A. Tavendale, J. Dhondia and S. Ghimire, 2018, Developing surface water flood forecasting capabilities in Scotland: an operational pilot for the 2014 Commonwealth Games in Glasgow". J. Flood Risk Man., 11, S884-S901. DOI: 10.1111/jfr3.12281.

Tauro, F., J. Selker, N. van de Giesen, T. Abrate, R. Uijlenhoet, M. Porfiri, S. Manfreda, K. Caylor, T. Moramarco, J. Benveniste, G. Ciraolo, L. Estes, A. Domeneghetti, M. T. Perks, C. Corbari, E. Rabiei, G. Ravazzani, H. Bogena, A. Harfouche, L. Brocca, A. Maltese, A. Wickert, A. Tarpanelli, S. Good, J. M. Lopez Alcala, A. Petroselli, C. Cudennec, T. Blume, R. Hut and S. Grimaldi, 2018, Measurements and Observations in the XXI century (MOXXI): innovation and multi-disciplinarity to sense the hydrological cycle. Hydrological Sciences Journal 63(2): 169–196.

Taylor,A.L., T. Kox, D. Johnston, 2018, Communicating high impact weather: Improving warnings and decision making processes, Int. J. Disaster Risk Reduction 30, 1-4.

Tory, K.J., Thurston, W. and Kepert, J.D., 2018. Thermodynamics of pyrocumulus: A conceptual study. Monthly Weather Review, 146(8), pp.2579-2598.

Tozier de la Poterie,A.S., W. E. Jjemba, R. Singh, E. C. de Perez, C.V. Costella and J. Arrighi, 2018, Understanding the use of 2015–2016 El Niño forecasts in shaping early humanitarian action in Eastern and Southern Africa, Int. J. Disaster Risk Reduction, 30, 81-94.

Vogel, P., P. Knippertz, A. Fink, A. Schlueter, and T. Gneiting, 2018, Skill of Global Raw and Postprocessed Ensemble Predictions of Rainfall over Northern Tropical Africa, Wea. Forecasting., 33, 369-388, doi:10.1175/WAF-D-17-0127.1.

Waller, J. A., S. L. Dance and N. K. Nichols, 2017, On diagnosing observation-error statistics with local ensemble data assimilation. Quarterly Journal of the Royal Meteorological Society 143(708): 2677–2686.

Waller, J. A., J. Garcia-Pintado, D. C. Mason, S. L. Dance and N. K. Nichols, 2018, Assessment of observation quality for data assimilation in flood models. Hydrology and Earth System Sciences Discussions 22(7): 3983–3992.

Wang, F., H. Liu, W. Dong, Y. Zhang and Q. Meng, 2018, Characteristics of lightning flashed associated with the charge layer near the 0℃ isotherm in the stratiform region of mesoscale convective systems. J. Geophy. Res., 123, 9524-9541.

Wang, X., X. He, S. Miao and Y. Dou, 2018, Numerical simulation of the influence of aerosol radiation effect on urban boundary layer, Science China Earth Sciences, 61(12): 1844-1858.

Wang, Y., A. S. Chen, G. Fu, S. Djordjević, C. Zhang and D. A. Savić, 2018, An integrated framework for high-resolution urban flood modelling considering multiple information sources and urban features. Environmental Modelling & Software 107: 85–95.

Wang, Y., Nordio, F., Nairn, J., Zanobetti, A. and Schwartz, J.D., 2018. Accounting for adaptation and intensity in projecting heat wave-related mortality. Environmental research, 161, pp.464-471.

Webber, J. L., M. J. Gibson, A. S. Chen, D. Savic, G. Fu and D. Butler, 2018, Rapid assessment of surface-water flood-management options in urban catchments. Urban Water Journal 15(3): 210–217.

Wellmann, C., A. I. Barrett, J. Johnson, M. Kunz, B. Vogel, K. Carslaw and C. Hoose, 2018, Using emulators to understand the sensitivity of deep convective clouds and hail to environmental conditions. J. Adv. Model. Earth Syst., DOI:10.1029/2018ms001465.

Weyrich, P., A. Scolobig, D. N. Bresch, and A. Patt, 2018, Effects of impact-based warnings and behavioral recommendations for extreme weather events. Weather, Climate, and Society 10, 781-796.

Williams, S., Venugopal, K., Nitschke, M., Nairn, J., Fawcett, R., Beattie, C., Wynwood, G. and Bi, P., 2018. Regional morbidity and mortality during heatwaves in South Australia. International journal of biometeorology, 62

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