Bandyopadhyay, S., Zahirul, S. D., Khan, H., and Wheeler, D.: Cyclonic Storm
Landfalls in Bangladesh, West Bengal and Odisha, 1877–2016, A Spatiotemporal
Analysis, World Bank Policy Res. Work. Pap. no. WPS 8316, January 2018, World Bank, Washington, DC, 2018.
Bhardwaj, P., Singh, O., and Yadav, R. B. S.: Probabilistic assessment of tropical cyclones' extreme wind speed in the Bay of Bengal: implications for future cyclonic hazard, Nat. Hazards, 101, 275–295, https://doi.org/10.1007/s11069-020-03873-5, 2020.
Boutle, I. A., Eyre, J. E. J., and Lock, A. P.: Seamless Stratocumulus Simulation across the Turbulent Gray Zone, Mon. Weather Rev., 142, 1655–1668, https://doi.org/10.1175/MWR-D-13-00229.1, 2014.
Brown, A., Milton, S., Cullen, M., Golding, B., Mitchell, J., and Shelly, A.: Unified Modeling and Prediction of Weather and Climate: A 25-Year Journey, B. Am. Meteorol. Soc., 93, 1865–1877, https://doi.org/10.1175/BAMS-D-12-00018.1, 2012.
Bryan, G. H. and Rotunno, R.: The Maximum Intensity of Tropical Cyclones in Axisymmetric Numerical Model Simulations, Mon. Weather Rev., 137, 1770–1789, https://doi.org/10.1175/2008MWR2709.1, 2009.
Bush, M., Allen, T., Bain, C., Boutle, I., Edwards, J., Finnenkoetter, A., Franklin, C., Hanley, K., Lean, H., Lock, A., Manners, J., Mittermaier, M., Morcrette, C., North, R., Petch, J., Short, C., Vosper, S., Walters, D., Webster, S., Weeks, M., Wilkinson, J., Wood, N., and Zerroukat, M.: The first Met Office Unified Model–JULES Regional Atmosphere and Land configuration, RAL1, Geosci. Model Dev., 13, 1999–2029, https://doi.org/10.5194/gmd-13-1999-2020, 2020.
Camp, J., Roberts, M., MacLachlan, C., Wallace, E., Hermanson, L., Brookshaw, A., Arribas, A., and Scaife, A. A.: Seasonal forecasting of tropical storms using the Met Office GloSea5 seasonal forecast system, Q. J. Roy. Meteor. Soc., 141, 2206–2219, https://doi.org/10.1002/qj.2516, 2015.
Dilley, M., Chen, R. S., Deichmann, U., Lerner-Lam, A., 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, USA, 2005.
Done, J. M., Ge, M., Holland, G. J., Dima-West, I., Phibbs, S., Saville, G. R., and Wang, Y.: Modelling global tropical cyclone wind footprints, Nat. Hazards Earth Syst. Sci., 20, 567–580, https://doi.org/10.5194/nhess-20-567-2020, 2020.
Eckstein, D., Künzel, V., Schäfer, L., and Winges, M.: Global Climate Risk Index 2020: Who Suffers Most from Extreme Weather Events? Weather-Related Loss Events in 2018 and 1999 to 2018, edited by: Chapman-Rose, J. and Longwitz, J., Germanwatch, Berlin, 2019.
Economou, T., Stephenson, D. B., Rougier, J. C., Neal, R. A., and
Mylne, K. R.: On the use of Bayesian decision theory for issuing natural
hazard warnings, P. Roy. Soc. A-Math. Phy., 472, 20160295, https://doi.org/10.1098/rspa.2016.0295, 2016.
EM-DAT: EM-DAT – The International Disaster Database (D. Guha-Sapir), CRED, UCLouvain, Brussels, Belgium, available at:
https://www.emdat.be/, last access: 28 April 2021.
Etienne, C., Lehmann, A., Goyette, S., Lopez-Moreno, J.-I., and Beniston, M.: Spatial Predictions of Extreme Wind Speeds over Switzerland Using Generalized Additive Models, J. Appl. Meteorol. Clim., 49, 1956–1970, https://doi.org/10.1175/2010JAMC2206.1, 2010.
Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., and
Rubin, D. B.: Bayesian Data Analysis, 3rd Edn., CRC Press, New York, 2013.
Hodges, K., Cobb, A., and Vidale, P. L.: How Well Are Tropical Cyclones Represented in Reanalysis Datasets?, J. Climate, 30, 5243–5264, https://doi.org/10.1175/JCLI-D-16-0557.1, 2017.
Hoque, M. A.-A., Phinn, S., Roelfsema, C., and Childs, I.: Assessing tropical cyclone impacts using object-based moderate spatial resolution image analysis: a case study in Bangladesh, Int. J. Remote Sens., 37, 5320–5343, https://doi.org/10.1080/01431161.2016.1239286, 2016.
Hoque, M. A.-A., Pradhan, B., Ahmed, N., and Roy, S.: Tropical cyclone risk assessment using geospatial techniques for the eastern coastal region of Bangladesh, Sci. Total Environ., 692, 10–22, https://doi.org/10.1016/j.scitotenv.2019.07.132, 2019.
International Monetary Fund: Bangladesh: 2019 Article IV Consultation – Press Release, Staff Report, and Statement by the Executive Director for Bangladesh, IMF Ctry. Reports No. 19/299, Washington, DC, 2019a.
Knapp, K. R., Kruk, M. C., Levinson, D. H., Diamond, H. J., and Neumann, C. J.: The International Best Track Archive for Climate Stewardship (IBTrACS), B. Am. Meteorol. Soc., 91, 363–376, https://doi.org/10.1175/2009BAMS2755.1, 2010.
Knapp, K. R., Diamond, H. J., Kossin, J. P., Kruk, M. C., and
Schreck, C. J. I.: International Best Track Archive for Climate Stewardship
(IBTrACS) Project, Version 4, NOAA National Centers for Environmental
Information, https://doi.org/10.25921/82ty-9e16, 2018.
Knutson, T., Camargo, S. J., Chan, J. C. L., Emanuel, K., Ho, C.-H., Kossin, J., Mohapatra, M., Satoh, M., Sugi, M., Walsh, K., and Wu, L.: Tropical Cyclones and Climate Change Assessment: Part II: Projected Response to Anthropogenic Warming, B. Am. Meteorol. Soc., 101, E303–E322, https://doi.org/10.1175/BAMS-D-18-0194.1, 2020.
Krien, Y., Arnaud, G., Cécé, R., Ruf, C., Belmadani, A., Khan, J., Bernard, D., Islam, A. K. M. S., Durand, F., Testut, L., Palany, P., and Zahibo, N.: Can We Improve Parametric Cyclonic Wind Fields Using Recent Satellite Remote Sensing Data?, Remote Sens.-Basel, 10, 1963, https://doi.org/10.3390/rs10121963, 2018.
Leutwyler, D., Lüthi, D., Ban, N., Fuhrer, O., and Schär, C.: Evaluation of the convection-resolving climate modeling approach on continental scales, J. Geophys. Res.-Atmos., 122, 5237–5258, https://doi.org/10.1002/2016JD026013, 2017.
Mohanty, S., Nadimpalli, R., Mohanty, U. C., Mohapatra, M., Sharma, A., Das, A. K., and Sil, S.: Quasi-operational forecast guidance of extremely severe cyclonic storm Fani over the Bay of Bengal using high-resolution mesoscale models, Meteorol. Atmos. Phys., 133, 331–348, https://doi.org/10.1007/s00703-020-00751-4, 2021.
Mohapatra, M., Srivastava, A. K., Balachandran, S., and Geetha, B.: Inter-annual Variation and Trends in Tropical Cyclones and Monsoon Depressions Over the North Indian Ocean, in: Observed Climate Variability and Change over the Indian Region, edited by: Rajeevan, M. N. and Nayak, S., Springer Singapore, Singapore, 89–106, 2017.
Nolan, D. S., Moon, Y., and Stern, D. P.: Tropical Cyclone Intensification from Asymmetric Convection: Energetics and Efficiency, J. Atmos. Sci., 64, 3377–3405, https://doi.org/10.1175/JAS3988.1, 2007.
Rao, B. R. S.: Decreasing trend in the strength of Tropical Easterly Jet during the Asian summer monsoon season and the number of tropical cyclonic systems over Bay of Bengal, Geophys. Res. Lett., 31, L14103, https://doi.org/10.1029/2004GL019817, 2004.
Sahoo, B. and Bhaskaran, P. K.: Assessment on historical cyclone tracks in the Bay of Bengal, east coast of India, Int. J. Climatol., 36, 95–109, https://doi.org/10.1002/joc.4331, 2016.
Shaevitz, D. A., Camargo, S. J., Sobel, A. H., Jonas, J. A., Kim, D., Kumar, A., LaRow, T. E., Lim, Y.-K., Murakami, H., Reed, K. A., Roberts, M. J., Scoccimarro, E., Vidale, P. L., Wang, H., Wehner, M. F., Zhao, M., and Henderson, N.: Characteristics of tropical cyclones in high-resolution models in the present climate, J. Adv. Model. Earth Sy., 6, 1154–1172, https://doi.org/10.1002/2014MS000372, 2014.
Singh, K., Panda, J., Sahoo, M., and Mohapatra, M.: Variability in Tropical Cyclone Climatology over North Indian Ocean during the Period 1891 to 2015, Asia-Pacific J. Atmos. Sci., 55, 269–287, https://doi.org/10.1007/s13143-018-0069-0, 2019.
Singh, K. S. and Bhaskaran, P. K.: Prediction of landfalling Bay of Bengal cyclones during 2013 using the high resolution Weather Research and Forecasting model, Meteorol. Appl., 27, e1850, https://doi.org/10.1002/met.1850, 2020.
Skamarock, W. C.: Evaluating Mesoscale NWP Models Using Kinetic Energy Spectra, Mon. Weather Rev., 132, 3019–3032, https://doi.org/10.1175/MWR2830.1, 2004.
Steptoe, H.: MetOffice/IKI-Oasis-Bangladesh, Zenodo, https://doi.org/10.5281/zenodo.3953772, 2020.
Steptoe, H., Savage, N., Sadri, S., Salmon, K., Maalick, Z., and Webster, S.: Bangladesh – Tropical Cyclone Historical Catalogue, Zenodo, https://doi.org/10.5281/zenodo.3600201, 2020.
Steptoe, H., Savage, N. H., Sadri, S., Salmon, K., Maalick, Z., and Webster, S.: Tropical cyclone simulations over Bangladesh at convection permitting 4.4 km & 1.5
km resolution, Sci. Data, 8, 62, https://doi.org/10.1038/s41597-021-00847-5, 2021.
Tan, C. and Fang, W.: Mapping the Wind Hazard of Global Tropical Cyclones with Parametric Wind Field Models by Considering the Effects of Local Factors, Int. J. Disast. Risk Sc., 9, 86–99, https://doi.org/10.1007/s13753-018-0161-1, 2018.
Tang, J., Byrne, D., Zhang, J. A., Wang, Y., Lei, X., Wu, D., Fang, P., and Zhao, B.: Horizontal Transition of Turbulent Cascade in the Near-Surface Layer of Tropical Cyclones, J. Atmos. Sci., 72, 4915–4925, https://doi.org/10.1175/JAS-D-14-0373.1, 2015.
UNDRR: Global Assessment Report on Disaster Risk Reduction, United Nations Office for Disaster Risk Reduction (UNDRR), Geneva, Switzerland, 2019.
Weisman, M. L., Skamarock, W. C., and Klemp, J. B.: The Resolution Dependence of Explicitly Modeled Convective Systems, Mon. Weather Rev., 125, 527–548, https://doi.org/10.1175/1520-0493(1997)125<0527:TRDOEM>2.0.CO;2, 1997.
WMO: Tropical Cyclone Operational Plan for the Bay of Bengal and the Arabian
Sea, WMO/TD-No. 84, TCP-No. 21, World Meteorological Organization, Geneva, Switzerland, 2018.
Wood, S. N.: Thin plate regression splines, J. R. Stat. Soc. B, 65, 95–114, https://doi.org/10.1111/1467-9868.00374, 2003.
Wood, S. N.: Generalized Additive Models: An Introduction with R, 2nd Edn., Chapman and Hall/CRC, New York, 2017.
Wood, S. N., Pya, N., and Säfken, B.: Smoothing Parameter and Model Selection for General Smooth Models, J. Am. Stat. Assoc., 111, 1548–1563, https://doi.org/10.1080/01621459.2016.1180986, 2016.
Youngman, B. D.: Generalized Additive Models for Exceedances of High
Thresholds With an Application to Return Level Estimation for U. S. Wind Gusts, J. Am. Stat. Assoc., 114, 1865–1879, https://doi.org/10.1080/01621459.2018.1529596, 2019.
Youngman, B. D. and Economou, T.: Generalised additive point process models for natural hazard occurrence, Environmetrics, 28, e2444, https://doi.org/10.1002/env.2444, 2017.
