Skip to main content

Advertisement

Log in

Extreme rainfall event in the Northeast coast of Brazil: a numerical sensitivity study

  • Review Article
  • Published:
Meteorology and Atmospheric Physics Aims and scope Submit manuscript

Abstract

This study investigates an extreme rainfall event which occurred in Northern Brazil (NEB) between 20 and 30th 2017 May causing several deaths and making thousands homeless. Based on a suite of microphysics and planetary boundary layer (PBL) schemes based on the WRF model, it is demonstrated that anomalous weather conditions are characterized by significant upward and eastward wind flow. Omega differences with respect to climatological conditions showed values up to − 0.04 Pa/s and wind up to 6–8 m/s in consonance with higher precipitation in May in the NEB coast. The cumulative rainfall for 11 days was higher than 500 mm in some locations, as measured by weather stations. These conditions were simulated by the WRF model under different physics parameterization schemes. In total 24 experiments with WRF were implemented. Non-local PBL demonstrated better performance than the local PBL. Moreover, the rainfall was concentrated in small portions of the region, and the local scheme limited the WRF conditions to estimate the correct maximum precipitation location. The Morrison scheme performed better compared to the other schemes. Results presented here show that the correct choices of the microphysics and PBL parameterizations are fundamental to obtain good simulation/forecast, especially for extreme rainfall events. This study demonstrates that regional modeling is crucial to provide accurate information to forecasters and decision makers to plan actions which hamper catastrophic situations such as landslides and floods in high-risk regions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Source: https://www.satelite.cptec.inpe.br/acervo/goes.formulario.logic

Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

Notes

  1. https://www.inmet.gov.br/portal/index.php?r=stacoes/estacoesAutomaticas.

References

  • Aceituno P, Prieto MR, Solari ME, Martínez A, Poveda G, Falvey M (2009) The 1877–1878 El Niño episode: associated impacts in South America. Clim Change 92:389–416

    Google Scholar 

  • Ávila A, Justino F, Wilson A, Bromwich D, Amorim D (2017) Recent precipitation trends, flash floods and landslides in southern Brazil. Environ Res Lett 11:1–13

    Google Scholar 

  • Amorim ACB, Chaves RR, Silva CMS (2014) Influence of the tropical Atlantic Ocean's sea surface temperature in the Eastern Northeast Brazil precipitation. Atmos Clim Sci 4:874–883

    Google Scholar 

  • Avolio E, Federico S, Miglietta MM, Feudo TL, Calidonna CR, Sempreviva AM (2017) Sensitivity analysis of WRF model PBL schemes in simulating boundary-layer variables in southern Italy: an experimental campaign. Atmos Res 192:58–71

    Google Scholar 

  • Banks RF, Baldasano JM (2016) Impact of WRF model PBL schemes on air quality simulations over Catalonia, Spain. Sci Total Environ 572:98–113

    Google Scholar 

  • Barbosa HA, Kumar TL (2016) Influence of rainfall variability on the vegetation dynamics over Northeastern Brazil. J Arid Environ 124:377–387

    Google Scholar 

  • Barbosa HA, Huete AR, Baethgen WE (2006) A 20-year study of NDVI variability over the Northeast Region of Brazil. J Arid Environ 67:288–307

    Google Scholar 

  • Berry FA, Bollay E, Beers NR (1945) Handbook of meteorology. McGraw-Hill, New York

    Google Scholar 

  • Bougeault P, Lacarrere P (1989) Parameterization of orography-induced turbulence in a mesobeta-scale model. Mon Weather Rev 117:1872–1890

    Google Scholar 

  • Cardoso RM, Soares PMM, Miranda PMA, Belo-Pereira M (2012) WRF high resolution simulation of Iberian mean and extreme rainfall climate. Int J Climatol 33:2591–2608

    Google Scholar 

  • Cassola F, Ferrari F, Mazzino A (2015) Numerical simulations of Mediterranean heavy precipitation events with the WRF model: a verification exercise using different approaches. Atmos Res 164–165:210–225

    Google Scholar 

  • Castro DM, Kumar S, Rojas JLF, Álvarez AM, Prado JMV, Puma EV, Velarde CDC, Vidal YS (2019) The Impact of microphysics parameterization in the simulation of two convective rainfall events over the Central Andes of Peru using WRF-ARW. Atmosphere 10(8):1–29

    Google Scholar 

  • Chawla I, Osuri KK, Mujumdar PP, Niyogi D (2018) Assessment of the weather research and forecasting (WRF) model for simulation of extreme rainfall events in the upper Ganga Basin. Hydrol Earth Syst Sci 22:1095–1117

    Google Scholar 

  • Clark AJ, Gallus WA, Weisman ML (2010) Neighborhood-based verification of rainfall forecasts from convection-allowing NCAR WRF Model simulations and the operational NAM. Wea Forecast 25:1495–1509

    Google Scholar 

  • Cohen AE, Cavallo SM, Coniglio MC, Brooks HE (2015) A review of planetary boundary layer parameterization schemes and their sensitivity in simulating southeastern US cold season severe weather environments. Weather Forecast 30(3):591–612

    Google Scholar 

  • Comin AN, Miglietta MM, Rizza U, Acevedo OC, Degrazia AD (2015) Investigation of sea-breeze convergence in Salento Peninsula (southeastern Italy). Atmos Res 160:68–79

    Google Scholar 

  • Comin AN, Schumacher V, Justino F, Fernández A (2018) Impact of different microphysical parameterizations on extreme snowfall events in the Southern Andes. Weather Clim Extrem 12:65–75

    Google Scholar 

  • Dudhia J (1989) Numerical study of convection observed during the Winter Monsoon Experiment using a mesoscale two-dimensional model. J Atmos Sci 46:3077–3107

    Google Scholar 

  • Easterling DR, Evans JL, Groisman PY, Karl TR, Kunkel KE, Ambenje P (2000) Observed variability and trends in extreme climate events: a brief review. Bull Am Meteorol Soc 81:417–425

    Google Scholar 

  • Erasmi S, Schucknecht A, Barbosa MP, Matschullat J (2014) Vegetation greenness in northeastern Brazil and its relation to ENSO warm events. Remote Sens 6(4):3041–3058

    Google Scholar 

  • Flesch TK, Reuter GW (2012) WRF model simulation of two Alberta flooding events and the impact of topography. J Hydrometeorol 13:695–708

    Google Scholar 

  • Flaounas E, Bastin S, Janicot S (2011) Regional climate modeling of the 2006 West African monsoon: Sensitively to convection and planetary boundary layer parameterization using WRF. Clim Dyn 36:1083–1105

    Google Scholar 

  • Fowler HJ, Kilsby CG (2003) A regional frequency analysis of United Kingdom extreme rainfall from 1961 to 2000. Int J Climatol 23:1313–1334

    Google Scholar 

  • Gomes HB, Ambrizzi T, Herdies DL, Hodges K, Silva BFP (2015) Easterly wave disturbances over northeast brazil: an observational analysis. Adv Meteorol 2015(ID 176238):1–2

    Google Scholar 

  • Grams JS, Gallus WA, Koch SE, Wharton LS, Loughe A, Ebert EE (2006) The use of a modified Ebert–McBride technique to evaluate mesoscale model QPF as a function of convective system morphology during IHOP 2002. Wea Forecasting 21:288–306

    Google Scholar 

  • Groisman PY, Karl TR, Easterling DR, Knight RW, Jamason PF, Hennessy KJ, Suppiah R, Page CM, Wibig J, Fortuniak K, Razuvaev VN, Douglas A, Forland E, Zhai M (1999) Changes in the probability of heavy precipitation: Important indicators of climatic change. Clim Change 42:243–283

    Google Scholar 

  • Groisman PY, Knight RW, Easterling DR, Karl TR, Hegerl GC, Razuvaev VN (2005) Trends in intense rainfall in the climate record. J Clim 18:1326–1350

    Google Scholar 

  • Gutiérrez APA, Engle NL, De Nys E, Molejón C, Martins ES (2014) Drought preparedness in Brazil. Weather Clim Extrem 3:95–106

    Google Scholar 

  • Hong SY (2010) A new stable boundary layer mixing scheme and its impact on the simulated East Asian summer monsoon. Q J Roy Meteor Soc 136(651):1481–1496

    Google Scholar 

  • Hong SY, Dudhia J, Chen SH (2004) A revised approach to ice microphysical processes for the bulk parameterization of clouds and rainfall. Mon Weather Rev 132(1):103–120

    Google Scholar 

  • Hong SY, Lim JOJ (2006) The WRF single- moment 6-class microphysics scheme (WSM6). J Korean Meteor Soc 42:129–151

    Google Scholar 

  • Hong SY, Lim KSS (2009) The WRF double-moment cloud microphysics scheme (WDM). In: Proceedings of the third East Asia WRF workshop and tutorial, Seoul, South Korea, joint center for high-impact weather and climate research, 14

  • Hong SY, Noh Y, Dudhia J (2006) A new vertical diffusion package with an explicit treatment of entrainment processes. Mon Weather Rev 134(9):2318–2341

    Google Scholar 

  • Hong SY, Lee Y-H, Ha J-C, Kim H-W, Ham S-J, Dudhia J (2010) Evaluation of the WRF double-moment 6-class microphysics scheme for precipitating convection. Adv Meteor 2010(ID 707253):1–11

    Google Scholar 

  • Hong SY, Lee JW (2009) Assessment of the WRF model in reproducing a flash-flood heavy rainfall event over Korea. Atmos Res 93:818–831

    Google Scholar 

  • Houghton JT, Meira Filho LG, Callander BA, Harris N, Kattenberg A, Maskell K (1996) IPCC climate change. The IPCC second assessment report. Cambridge University Press, New York

    Google Scholar 

  • Hu XM, Klein PM, Xue M (2013) Evaluation of the updated YSU planetary boundary layer scheme within WRF for wind resource and air quality assessments. J Geophys Res Atmos 118:490–505

    Google Scholar 

  • Huang H, Liu H, Huang J, Mao W, Bi X (2015) Atmospheric boundary layer structure and turbulence during sea fog on the southern China coast. Mon Weather Rev 143:1907–1923

    Google Scholar 

  • Jankov I, JrW G, Segal M, Shaw B, Koch SE (2005) The impact of different WRF Model physical parameterizations and their interactions on warm season MCS rainfall. Weather Forecasting 20:1048–1060

    Google Scholar 

  • Jones PD, Reid PA (2001) Assessing future changes in extreme precipitation over Britain using regional climate model integrations. Int J Climatol 21:1337–1356

    Google Scholar 

  • Kain JS (2004) The Kain–Fritsch convective parameterization: an update. J Appl Meteorol 43:170–181

    Google Scholar 

  • Kalnay E, Kanamitsu M, Kistler R (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteor Soc 77:437–471

    Google Scholar 

  • Karki R, Hasson S, Gerlitz L, Talchabhadel R, Schenk E, Schickho U, Scholten T, Böhner J (2018) WRF-based simulation of an extreme precipitation event over the Central Himalayas: atmospheric mechanisms and their representation by microphysics parameterization schemes. Atmos Res 214:21–35

    Google Scholar 

  • Kayano MT, Capistrano VB (2014) How the Atlantic multidecadal oscillation (AMO) modifies the ENSO influence on the South American rainfall. Int J Climatol 34(2):162–178. https://doi.org/10.1002/joc.3674

    Article  Google Scholar 

  • Klein TAG, Peterson TC, Quadir MA et al (2006) Changes in daily temperature and precipitation extremes in central and south Asia. J Geophys Res 111(D16105):1–8

    Google Scholar 

  • Klemp JB, Lilly DK (1978) Numerical simulation of hydrostatic mountain waves. J Atmos Sci 35:78–107

    Google Scholar 

  • Kousky VE (1979) Frontal influences on Northeast Brazil. Mon Weather Rev 107(9):1140–1153

    Google Scholar 

  • Kumar A, Dudhia J, Rotunno R, Niyogi D, Mohanty UC (2008) Analysis of the 26 July 2005 heavy rain event over Mumbai, India using the weather research and forecasting (WRF) model. Q J Royal Meteorol Soc 134:1897–1910

    Google Scholar 

  • Leung LR, Qian Y (2009) Atmosphericrivers induced heavy precipitation and flooding in the western US simulated by the WRF regional climate model. Geophys Res Lett 36(L03820):1–6

    Google Scholar 

  • Li D, Zeid EB, Baeck ML, Jessup S, Smith JA (2013) Modeling land surface processes and heavy rainfall in urban environments: sensitivity to urban surface representations. J Hydrometeorol 14:1098–1118

    Google Scholar 

  • Li L, Gochis DJ, Sobolowski S, Mesquita MD (2017) Evaluating the present annual water budget of a Himalayan headwater river basin using a high-resolution atmosphere-hydrology model. J Geophys Res Atmos 122:4786–4807

    Google Scholar 

  • Liebmann B, Kiladiz GN, Allured D, Vera C, Jones C, Carvalho LMV, Blade IB, Gonzales PLM (2011) Mechanisms associated with large daily rainfall events in northeast Brazil. J Clim 24:376–396

    Google Scholar 

  • Lim KSS, Hong SY (2010) Development of an effective double-moment cloud microphysics scheme with prognostic cloud condensation nuclei (CCN) for weather and climate models. Mon Weather Rev 138:1587–1612

    Google Scholar 

  • Litta AJ, Mohanty UC (2008) Simulation of a severe thunderstorm event during the field experiment of STORM programme 2006 using WRF–NMM model. Curr Sci 95(2):204–215 (ISSN 0011-3891)

    Google Scholar 

  • Long D, Scanlon BR, Fernando DN, Meng L, Quiring SM (2012) Are temperature and rainfall extremes increasing over the US high plains? Earth Interact 16:1–20

    Google Scholar 

  • Martilli A, Clappier A, Rotach MW (2002) An urban surface exchange parameterization for mesoscale models. Bound Layer Meteorol 104(2):261–304

    Google Scholar 

  • Mechoso CR, Robertson AW, Ropelewski CF, Grimm AM (2005) The American monsoon systems: an introduction. In: Research and forecast WMO/TD No 1266 (TMRP report no 70), Geneva, Switzerland, pp 197–206

  • Miglietta MM, Mastrangelo D, Conte D (2015) Influence of physics parameterization schemes on the simulation of a tropical-like cyclone in the Mediterranean Sea. Atmos Res 153:360–375

    Google Scholar 

  • Mlawer EJ, Taubman SJ, Brown PD, Iacono MJ, Clough SA (1997) Radiative transfer for inhomogeneous atmosphere: RRTM, a validated correlated-k model for the longwave. J Geophys Res 102:16663–16682

    Google Scholar 

  • Morrison H, Curry JA, Khvorostyanov VI (2005) A new double-moment microphysics parameterization for application in cloud and climate models. Part I: description. J Atmos Sci 62:1665–1677

    Google Scholar 

  • Morrison H, Milbrandt J (2011) Comparison of two-moment bulk microphysics schemes in idealized supercell thunderstorm simulations. Mon Weather Rev 139:1103–1130

    Google Scholar 

  • Morroni YG, Gironás L, Caneo M, Delgado R, Garreaud R (2018) Using the weather research and forecasting (WRF) model for precipitation forecasting in an Andean region with complex topography. Atmosphere 9:304. https://doi.org/10.3390/atmos9080304

    Article  Google Scholar 

  • Moura AD, Shukla J (1981) On the dynamics of droughts in northeast of Brazil: observations, theory and numerical experiments with general circulation model. J Atmos Sci 38:2653–2675

    Google Scholar 

  • Moura GA, Aragão JR, Melo JP, Silva NA, Giongo PR, Francinete F, Lacerda FF (2009) Relationship between the rainfall of the eastern Northeast of Brazil and ocean temperature. Rev Bras Eng Agrí Ambient 13(4):462–469

    Google Scholar 

  • Nakanishi M, Niino H (2006) An Improved Mellor–Yamada level-3 model: its numerical stability and application to a regional prediction of advection Fog. Bound Layer Meteorol 119:397–407

    Google Scholar 

  • Nasrollahi N, Aghakouchak A, Li J, GaoX HK, Sorooshian S (2012) Assessing the impacts of different WRF precipitation physics in hurricane simulations. Weather Forecast 27:1003–1016

    Google Scholar 

  • Neves DJD, Alcântara CR, Souza EPD (2016) Estudo de Caso de um Distúrbio Ondulatório de Leste sobre o Estado do Rio Grande do Norte - Brasil. Rev Bras Meteorol 31:490–505. https://doi.org/10.1590/0102-778631231420150075

    Article  Google Scholar 

  • Nielsen JW, Hu XM, Zhang FQ, Pleim JE (2010) Evaluation of planetary boundary layer scheme sensitivities for the purpose of parameter estimation. Mon Weather Rev 138(9):3400–3417

    Google Scholar 

  • Niu GY, Yang ZL, Mitchell KE et al (2011) The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements. J Geophys Res 116:1–19

    Google Scholar 

  • Nobre P, Shukla J (1996) Variations of sea surface temperatures, wind stress, and rainfall over the tropical over the tropical Atlantic and South America. J Clim 9(10):2464–2479

    Google Scholar 

  • Novaes RLM, Felix S, Souza RF (2013) Save Caatinga from drought disaster. Nature 498:170

    Google Scholar 

  • Oliveira PT, Santos e Silva CM, Lima KC (2014) Linear trend of occurrence and intensity of heavy rainfall events on Northeast Brazil. Atmos Sci Lett 15:73–78

    Google Scholar 

  • Pereira MS, Justino F, Malhado AM, Barbosa H, Marengo J (2014) The influence of oceanic basins on drought and ecosystem dynamics in Northeast Brazil. Environ Res Lett 9(124013):1–8

    Google Scholar 

  • Pereira MPS, Mendes KR, Justino F, Couto F, Silva AS, Silva DF, Malhado ACM (2020) Brazilian dry forest (Caatinga) response to multiple ENSO: the role of Atlantic and Pacific ocean. Sci Total Environ 705:1–7

    Google Scholar 

  • Pennelly C, Reuter G, Flesch T (2014) Verification of the WRF model for simulating heavy rainfall in Alberta. Atmos Res 136:172–192

    Google Scholar 

  • Pezzi LP, Cavalcanti IFA (2001) The relative importance of ENSO and tropical Atlantic sea surface temperature anomalies for seasonal precipitation over South America: a numerical study. Clim Dyn 17:205–212

    Google Scholar 

  • Pielke J, Roger A, Landsea CW (1998) Normalized hurricane damages in the United States: 1925–95. Weather and Forecast 13:621–631

    Google Scholar 

  • Pleim JE (2007) A combined local and nonlocal closure model for the atmospheric boundary layer. Part I: Model description and testing. J Appl Meteorol Climatol 46(9):1383–1395

    Google Scholar 

  • Rao VB, Franchito SH, Barbosa TF (2007a) Impact of high potential vorticity intrusions into the tropical upper troposphere in South Atlantic on precipitation over Northeast Brazil. Geophys Res Lett 34(L06704):1–4

    Google Scholar 

  • Rao YV, Hatwar HR, Salah AK, Sudhakar Y (2007b) An experiment using the high resolution eta and WRF models to forecast heavy rainfall over India. Pure Appl Geophys 164:1593–1615

    Google Scholar 

  • Rao VB, De Lima MC, Franchito SH (1993) Seasonal and interannual variations of rainfall over eastern northeast Brazil. J Clim 6(9):1754–1763

    Google Scholar 

  • Rajeevan M, Kesarkar A, Thampi SB, Rao TN, Radhakrishna B, Rajasekhar M (2010) Sensitivity of WRF cloud microphysics to simulations of a severe thunderstorm event over southeast India. Ann Geophys 28:603–619

    Google Scholar 

  • Ramos DS, Lyra RF, Júnior RS (2013) Wind prediction using the WRF model in the Alagoas state, Brazil. Rev Bras Meteorol 28(2):163–172

    Google Scholar 

  • Schwartz CS (2009) Next-day convection-allowing WRF model guidance: a second look at 2-km versus 4-km grid spacing. Mon Weather Rev 137:3351–3372

    Google Scholar 

  • Silva TV, Veleda D, Araujo M, Tyaquiçã P (2018) Ocean-atmosphere feedback during extreme rainfall events in eastern Northeast Brazil. J Appl Meteorol Climatol 57:1211–1229

    Google Scholar 

  • Simpson J, Kummerow C, Tao W-K, Adler RF (1996) On the tropical rainfall measuring mission (TRMM). Meteorol Atmos Phys 60:19–36

    Google Scholar 

  • Skamarock WC, Klemp JB, Dudhia J et al (2008) Description of the advanced research WRF version 3. National Center for Atmospheric Research, Boulder, p 113

    Google Scholar 

  • Sperber KR, Cusiner E, Kitoh A et al (2016) The global monsoon system: research and forecast. Chapter 7: modelling monsoons. World Scientific Series on Asia-Pacific Weather and Climate, 3rd edn. 9:79–97. https://doi.org/10.1142/9789813200913_0007

  • Suppiah R, Hennessy KJ (1998) Trends in seasonal rainfall, heavy rain days, and number of dry days in Australia, 1910–1990. Int J Climatol 18(10):1141–1164

    Google Scholar 

  • Sultan S, Hui L, Riaz M, Babar ZA, Renguang W, Ahmad I, Ahmad I, Shad MA, Aslam CM (2016) Impact of land surface models on simulation of extreme rainfall events over upper catchments of the River Indus. Pak J Meteorol 13:39–49

    Google Scholar 

  • Taylor KE (2001) Summarizing multiple aspects of model performance in a single diagram. J Geophys Res 106(D7):7183–7192

    Google Scholar 

  • Teixeira J (2008) Parameterization of the atmospheric boundary layer. Bull Am Meteorol Soc 89(4):453–458

    Google Scholar 

  • Thompson G, Rasmussen RM, Manning K (2004) Explicit forecasts of winter precipitation using an improve bulk microphysics scheme. Part-I: description and sensitivity analysis. Mon Weather Rev 132:519–542

    Google Scholar 

  • Thompson G, Field PR, Rasmussen RM, Hall WD (2008) Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: implementation of a new snow parameterization. Mon Weather Rev 136:5095–5115

    Google Scholar 

  • Wang SY, Chen TC, Taylor SE (2009) Evaluations of NAM forecasts on midtropospheric perturbation-induced convective storms over the US northern plains. Weather Forecast 24:1309–1333

    Google Scholar 

  • Wang ZQ, Duan AM, Wu GX (2014) Impacts of boundary layer parameterization schemes and air-sea coupling on WRF simulation of the East Asian summer monsoon. Sci China Earth Sci 57:1480–1493

    Google Scholar 

  • Wisse JSP, Arellano JVG (2004) Analysis of the role of the planetary boundary layer schemes during a severe convective storm. Ann Geophys 22:1861–1874

    Google Scholar 

  • Xie B, Fung JCH, Chan A, Lau A (2012) Evaluation of nonlocal and local planetary boundary layer schemes in the WRF model. J Geophys Res 117:D12103

    Google Scholar 

  • Yair YB, Lynn PC, Kotroni V, Lagouvardos K, Morin E, Magnai A, Carmen Llasat M (2010) Predicting the potential for lightning activity in Mediterranean storms based on the weather research and forecasting (WRF) model dynamic and microphysical fields. J Geophys Res 115(D04205):1–15

    Google Scholar 

  • Zaidi SM, Gisen JIA (2018) Evaluation of Weather Research and Forecasting (WRF) Microphysics single moment class-3 and class-6 in precipitation forecast. MATEC Web Conf 150:1–4. https://doi.org/10.1051/matecconf/201815003007

    Article  Google Scholar 

  • Zeng XM, Wu ZH, Song S, Xiong SY, Zheng YQ, Zhou ZG, Liu HQ (2012) Effects of different land-surfaceschemes on the simulation of a heavy rainfall event by WRF. Chin J Geophys 55:394–408

    Google Scholar 

Download references

Acknowledgements

This study was financed in part by the CAPES-PNPD (1671778). This is also a contribution to ATMOS Project (CNPq 443013/2018-7) and FAPEMIG PPM-00773-18. CNPq also funds L. P. Pezzi and F. Justino through fellowship of the Research Productivity Program (CNPq 304009/2016-4 and 306181/2016-9). A. Fernández is funded by FONDECYT 11160454.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alcimoni Nelci Comin.

Additional information

Responsible Editor: S. Trini Castelli.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 336 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Comin, A.N., Justino, F., Pezzi, L. et al. Extreme rainfall event in the Northeast coast of Brazil: a numerical sensitivity study. Meteorol Atmos Phys 133, 141–162 (2021). https://doi.org/10.1007/s00703-020-00747-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00703-020-00747-0

Navigation