Airplane Emergency Landing Due to Quick Development of Mesoscale Convective Complexes
Abstract
:1. Introduction
2. Materials and Methods
- Infrared (IR) images from the GOES-16 satellite of the Center for Weather Forecasting and Climatic National Space Research Institute (CPTEC/INPE) in Brazil [13]. The IR images for the period preceding the episode by 24, 8, 5 h and at the exact time of the episode were studied and analyzed.
- Radiosonde data 6 h before the collision from the Porto Alegre International Airport (South of Brazil) were obtained from the Atmospheric Department of the University of Wyoming [14].
- Several meteorological maps for South America were elaborated using reanalysis data with the resolution of 2.5° × 2.5° latitude and longitude from the National Centers for Environmental Prediction (NCEP). The following variables were analyzed: stream lines, layer thickness and Omega at 925, 700, 500 and 200 hPa levels (National Weather Service) [15].
3. Results and Discussion
3.1. Episode Overview
- 24 h before the event and 22 h before the takeoff: cold front over southeastern America, with clouds not reaching −40 °C. Clouds reached middle troposphere levels and do not affect the flight route (Figure 3a).
- 8 h before event and 6 h before takeoff: cold front moved northeast towards the Atlantic Ocean (Figure 3b). Note that the formation of convective clouds detached from the end of the front with the temperature of the cloud top being −40 °C, reaching middle levels of the troposphere. These convective clouds quite affected the flight path, and a slight meteorological deviation was required.
- 5 h before the event and 3 h before takeoff: cold front shifted towards the Atlantic Ocean (northeast displacement; Figure 3c). It was observed that the convective clouds, detached from the end of the cold front, formed a well-defined conglomeration. The temperature of the cloud top quickly dropped and reached −60 °C (high troposphere). It was no longer possible to fly over the tops of MCC formations, and deviations from the flight path due to weather conditions were necessary.
- Time of the event and 2 h after takeoff: cold front moved towards the Atlantic Ocean (Figure 3d). End of the front with clusters of MCCs joined, forming a large conglomeration of MCCs, covering several countries in South America, such as southern Brazil, Uruguay, Argentina and Paraguay. The temperature of the cloud top reached −90 °C to −100 °C.
3.2. METAR and SPECI Analysis
3.3. Synoptic and Thermodynamic Analysis and Results
3.3.1. 24 h before the Event and 22 h before Taking off
3.3.2. At the Event Time (06h00 UTC)
3.4. Review of Meteorological Processes That Caused the Air Episode
Review of Meteorological Processes That Caused the Air Episode
- Spring and summer are the most favorable months of the year for MCC development.
- The night period is most favorable for MCC formation.
- A baroclinic trough over the Atlantic Ocean joined with the low-pressure center, located east of Uruguay. Therefore, the trough from Chaco Low towards the baroclinic cyclone east of Uruguay was extended. There was a confluence and significant increase in the speed of the low-level jets from the northern region of South America to the area of the frontal extremity (925 and 850 hPa). Such low-level jets bring latent heat and air humidity to the area. Therefore, the next processes at low levels were observed:
- Cold front end around the event area; Figure A2a.
- Confluence of the low-level jets, coming from the north of South America to the baroclinic cyclone over the study area; Figure A1b.
- Displacement of the barotropic low-pressure center (known as low of the Chaco) to the baroclinic low-pressure center located in the study area.
- Union of the trough over the Atlantic Ocean with the baroclinic low-pressure center over the study area; Figure A2b.
- High pressure over the Atlantic Ocean that prevented the displacement of the cold front to the northeast, as shown in Figure A2b.
- There was an increase in the velocity of the upper-level jet stream and its core shifted to the region in which the MCC was formed and observed.
- Center of the upper-level jet stream located at the rear of the MCC.
- The MCC was located between the inlet and outlet of the high-level jet.
- Upper-level western jet, located about 5° south of the MCC position at maximum extension time.
- Coupling of upper-level jets with low-level jets [26].
- Coupling of subtropical and polar upper-level jet streams in the same longitude where the aircraft encountered the MCC union.
3.5. Limitations
- A lack of approved ground-based meteorological radars to provide flight controllers with real-time images to assist pilots in making necessary meteorological deviations en route, as well as during takeoffs and approaches, and to obtain data on cold front displacement in the region. Therefore, the entire interpretation of the atmosphere and the solution of meteorological deviations are left to the discretion of the pilots.
- There is an under-reporting of such events in the aviation environment. Typically, such events are limited to the airline safety sector and are therefore not reported. Thus, it is impossible to calculate the true number of such events occurring in the region during this period of the year. Additionally, there is no way to access the operational data such as damage, injuries, etc.
- There is no regulation requiring the presence of meteorologists in airlines. Consequently, scientific and more accurate data cannot be obtained and turned into scientific research. This explains the low level or complete absence of previous studies related to such cases.
- MCCs take place predominantly at night, when there are some operational restrictions, among them:
- At night, at airports close to the impact area, indicated by the symbol (▲) in Figure 1, as well as at origin (SBGR), destination (SCEL) and alternative (SAEZ) airports, there were no radiosonde data in the morning. Therefore, the actual data of radio sounding were not recorded. Only Porto Alegre RS Airport, Brazil (SBPA) had radiosonde data at 00 GMT on the 31st, i.e., 6 h before the event (Figure 5).
- At night, it is impossible for pilots to visualize convective systems and their dimensions with the naked eye, and, in addition, airborne meteorological radars do not detect ice [22] (the cloud top temperature reached –100 °C, as shown in Figure A1a). Therefore, phenomena such as hail may be invisible to pilots.
3.6. Flight Plan Recommendations
4. Conclusions and Recommendation
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
References
- Davy, R.; Esau, I. Surface Air Temperature Variability in Global Climate Models. Atmos. Sci. Lett. 2014, 15, 13–20. [Google Scholar] [CrossRef] [Green Version]
- Fedorova, N.; Pontes Da Silva, B.F.; Levit, V. Mesoscale Convective Complexes over the Northeast Brazil. 2019. 239p, ISBN 978-65-900634-0-3. Available online: https://clubedeautores.com.br/livro/complexos-convectivos-de-mesoescala-sobre-o-nordeste-do-brasil (accessed on 30 September 2022).
- Maddox, R.A. Mesoscale Convective Complexes. Bull. Am. Meteorol. Soc. 1980, 61, 1374–1387. [Google Scholar] [CrossRef]
- Velasco, I.; Fritsch, J.M. Mesoscale Convective Complexes in the Americas. J. Geophys. Res. Atmos. 1987, 92, 9591–9613. [Google Scholar] [CrossRef]
- Fedorova, N. Synoptic IV: Synoptic Systems and Processes Active in South America. In Didactic Material: Synopses, Figures and Equations; UFAL: Maceio, Brazil, 2008; 192p, ISBN 978-85-7177-422-3. [Google Scholar]
- Fedorova, N. Synoptic III: Fronts, Jet Streams, Cyclones and Anticyclones. In Didactic Material: Synopses, Figures and Equations; UFAL: Maceio, Brazil, 2008; 192p, ISBN 978-85-7177-421-6. [Google Scholar]
- Rocha, R.P. Numerical Simulation of a Mesoscale Convective Complex over South America. Master’s Thesis, IAG/USP, São Paulo, Brazil, 1992. [Google Scholar]
- Cotton, W.R.; Anthes, R.A. Storm and Cloud Dynamics; Academic Press: Cambridge, MA, USA, 1989; 883p. [Google Scholar]
- Corrêa, C.S.; Clarke, R.T.; Silveira, A.L.L. Non-hierarchical Analysis and Classification of Low Level Jets and Maximum Winds in the Vertical Wind Profile over Porto Alegre. In Proceedings of the XII Brazilian Meteorology Congress, Foz do Iguacu, Brazil, 4–9 August 2002; Available online: https://www.researchgate.net/publication/326673111_analise_e_classificacao_nao_hierarquica_dos_jatos_de_nivel_baixo_e_dos_ventos_maximos_no_perfil_vertical_do_vento_sobre_porto_alegre?enrichid=rgreq-a1841c7ff1ae20f7e5eb3952134c5fc6-xxx&enrichsource=y292zxjqywdlozmynjy3mzexmttbuzo2ntm0nju2mtc0ndq4njramtuzmjgwotc1mji0ng%3d%3d&el=1_x_2&_esc=publicationcoverpdf (accessed on 8 January 2022).
- Kulesa, G. Weather and Aviation: How Does Weather Affect the Safety and Operations of Airports and Aviation, and How Does FAA Work to Manage Weather-related Effects? In The Potential Impacts of Climate Change on Transportation. Washington, DC, USA, 2002; Available online: www.bv.transports.gouv.qc.ca/mono/1083088.pdf (accessed on 22 December 2021).
- Brazila. Defence Ministry, Air Command, Center of Investigation and Prevention of Aeronautical Accidents (CENIPA). Panel SIPAER: Overview of Accidents in the Last 10 Years. Available online: http://painelsipaer.cenipa.aer.mil.br/QvAJAXZfc/opendoc.htm?document=SIGAER%2Fgia%2Fqvw%2Fpainel_sipaer.qvw&host=QVS%40cirros31-37&anonymous=true (accessed on 10 February 2022).
- Brazilb. Defence Ministry, Air Command, Center of Investigation and Prevention of Aeronautical Accidents (CENIPA). FCA 58-1—Statistical Overview of Brazilian Civil Aviation. Brasilia, DF. 2014. Available online: https://www2.fab.com.br/cenipa/index.php/estatisticas (accessed on 12 March 2022).
- Brazilc. Ministry of Science, Technology, and Innovation. National Institute for Space Research. Satellite Images. GOES-16 Satellite. Time interval from October 30th 2018 to October 31th 2018, AMS Clean band IR CH1310.3 um. Latitude 35 North to 55 South, Longitude 115 West to 25 East. Available online: http://satelite.cptec.inpe.br/acervo/goes16.formulario.logic (accessed on 15 March 2022).
- University of Wyoming, Department of Atmospheric Science. Radiosonde image Skew T Log P, October 31 2018 at 00 UTC. Available online: https://weather.uwyo.edu/upperair/sounding.html (accessed on 17 October 2021).
- National Wheather Service. National Centers for Environmental Prediction. Meteorological Variables Prepared for South America, Interval: October 30th 2018 to October 31th 2018. Available online: https://www.weather.gov/ncep/ (accessed on 20 October 2021).
- Gandú, A.W.; Geisler, J.E. A Primitive Equation Model Sstudy of the Effect of Topography on the Summer Circulation Over Tropical South America. J. Atmos. Sci. 1992, 48, 1822–1836. [Google Scholar] [CrossRef]
- Figueiroa, N.F.; Satyamurty, P.; Silva Dias, P.L. Simulations of the Summer Circulation over the South American Region with an ETA coordinate model. J. Atmos. Sci. 1995, 52, 1573–1584. [Google Scholar] [CrossRef]
- Brazild. Defence Ministry, Air Command, Center. Air Force Command Meteorology Network (REDEMET). Consult Weather Messages. Available online: https://www.redemet.aer.mil.br (accessed on 15 October 2020).
- Dominelli, D. Plane Has Nose and Windshield Destroyed by Hail on Flight to Chile. 2018. Available online: https://www1.folha.uol.com.br/cotidiano/2018/10/aviao-da-latam-tem-nariz-e-para-brisa-destruido-por-granizo-em-voo-para-o-chile.shtml (accessed on 12 January 2022).
- Scolar, J.; Figueiredo, J.C. Analysis of Synoptic Conditions Associated with the Formation of Mesoscale Convective Complexes. In Proceedings of the VI Brazilian Meteorology Congress, Salvador, Brazil; 1990; pp. 455–461. [Google Scholar]
- Duquia, C.G.; Silva Dias, M.A.F. Mesoscale Convective Complex: ACase Study for Western Rio Grande do Sul. In Proceedings of the VIII Brazilian Meteorology Congress, Belo Horizonte, Brazil; 1994; Volume 2, pp. 610–612. [Google Scholar]
- Airbus, S.A.S. Optimum Use of Weather Radar. Saf. First Fr. 2016, 22, 22–43. Available online: https://www.airbus.com/content/dam/corporate-topics/publications/safety-first/Airbus_Safety_first_magazine_22.pdf (accessed on 18 November 2021).
- Machado, L.A.T.; Rossow, W.B. Structural Characteristics and Radiative Properties of Tropical Cloud Clusters. Mon. Wea. Rev. 1993, 121, 3234–3259. [Google Scholar] [CrossRef]
- Pedroso, D. Atmospheric Blockages and Frontal Systems Over South America In Future Climate Scenarios. Master’s Thesis, Santa Maria Federal University, Santa Maria, Brazil, 2014; 93p. [Google Scholar]
- Anabour, V. Mesoscale Convective Systems in Southern South America: Serial Propagation against Low Levels Flow. Ph.D. Thesis, Graduate Program in Physics. Federal University of Santa Maria, Rio Grande do Sul, Brazil, 2008. [Google Scholar]
- Uccellini, L.W.; Johnson, D.R. The Coupling of Upper and Lower Tropospheric Jet Streaks and Implications for the Development of Severe Convective Storms. Mon. Wea. Rev. 1979, 107, 682–703. [Google Scholar] [CrossRef]
- Machado, L.A.T.; Guedes, R.L.; Silveira, J.M.B.; Waltz, R.C.E.; Alves, M.A.S. Life Cycle of Meteorological Convective Systems. In Proceedings of the VIII Brazilian Meteorology Congress, Belo Horizonte, Brazil, 1994; Available online: http://climanalise.cptec.inpe.br/~rclimanl/boletim/cliesp10a/mcc_cli.html (accessed on 2 January 2022).
METAR SBPA Porto Alegre | 310,000Z 100/13kt CAVOK 24/19 Q1008 310,300Z 310,300Z 260/11kt 230V290 3000 TSRA BR FEW040CB SCT 040 OVC070 23/21 Q1011 310,600Z 340/15kt 4000 -TSRA BKN035 FEW040CB OVC070 22/21 Q1010 |
METAR SAEZ Buenos Aires | 310,000Z 350/03kt 9999 FEW010 BKN060 18/17 Q1009 TEMPO RA 6000 310,300Z 280/02kt CAVOK 15/15 Q1011 BECMG 6000 310,600Z 230/05kt CAVOK 14/14 Q1009 BECMG 4000 BR |
METAR SARE Resistencia | 310,000Z 080/04kt CAVOK 30/25 Q1004 310,300Z 050/08 9999 TS SCT050 FEW055CB BKN065 29/25 Q1003 SPECI 310,445Z 27010G30kt 8000 -TSRA FEW019 FEW050CB OVC070 21/21 Q1003 SPECI 310,510Z 20023G34kt 0600 R21/0800 +TSRA OVC003 FEW050CB 21/21 Q1003 SPECI 310,610Z 150/08kt 2000 +TSRA SCT004 OVC046 FEW050CB 21/21 Q1004 |
METAR SUMU Montevideo | 310,000Z 00000kt 9999 OVC070 18/16 Q1011 TEMPO RA 310,300Z 310/03kt 2500 BR OVC070 17/17 Q1009 TEMPO RA 310,600Z 310/06kt 2500BR OVC030 16/16 Q1009 TEMPO RA |
METAR SACO Cordoba | 31,000Z 170/09kt 9999 FEW018 SCT050 17/12 Q1015 NOSIG 310,300Z 240/05kt CAVOK 15/13 Q1016 NOSIG 310,600Z 300/01kt 9999 FEW020 FEW040CB 14/13 Q1013 |
METAR SAAR Rosario | 310,000Z 140/05kt 9999 FEW025 17/16 Q1011 310,300Z 180/06kt CAVOK 15/14 Q1012 310,600Z 180/07 CAVOK 14/13 1011 |
SGAS Asuncion | 310,000Z 050/05kt 9999 VCTS FEW040CB 30/24 Q1005 310,300Z 050/06kt 9999 VCTS FEW040CB 29/24 Q1007 310,600Z 050/05kt 010V130 9999 FEW033 BKN080 28/24 Q1005 |
Summer or Spring + Night or Dawn + Baroclinic Cyclone at Low Level | |
---|---|
High Troposphere | MCC located under the core of upper-level jet stream MCC located between the inlet and outlet upper-level jet stream Ridge at 200 hPa Union of polar and subtropical jet streams. Start of the MCC is located northwest of the maximum speed center at upper levels [16,17] |
Medium Troposphere | West winds (close to 30° South) at 500 hPa between 40 m/s e 50 m/s Trough at 500 hPa over the area (cold front reaches middle levels) Negative Omega values (Ω) at 500 hPa (intense convective movement) Heat advection in the layer 500–200 hPa |
Low Troposphere | Coupling of subtropical upper-level jets (200 hPa) with low-level jets (850 hPa) Low-level jets coming from the north of South America. Heat advection in the layer 1000–500 hPa. A change in the direction/quadrant of the wind at the surface, which characterizes the arrival and passage of cold fronts. (Analyzed by METAR and TAF) Proximity to the MCC with a 20 °C isotherm on the surface Windward of a mountain range (Andes Cordillera), parallel to the upper-level jets |
Development of flight routes that do not cross climatologically potential MCC areas. |
If it is impossible to carry out a flight that does not pass through an area with synoptic and cyclogenetic climatological characteristics, in certain seasons and time of the day, then it is proposed to add fuel to the flight, covering at least 480 km of lateral deviations, at flight level intended, since the average radius of MCCs is 240 km (average radius of MCCs in South America) [27]. |
Implementation of a meteorologist in the airline safety area. This professional will help the flight operational crew to develop a safe flight plan and make the right decisions in developing a flight plan. |
Courses, developed by meteorologists, for target audiences such as pilots, flight dispatchers and flight controllers on cyclogenetic processes and MCCs. |
Implementation and approval of ground meteorological radars to help lateral and vertical deviations of aircraft that encounter convective systems of this magnitude. |
Development of meteorological radars on board the aircraft that are able to predict convective cells, MCCs and ice. |
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Leirias, R.B.V.; Fedorova, N.; Levit, V. Airplane Emergency Landing Due to Quick Development of Mesoscale Convective Complexes. Meteorology 2023, 2, 1-14. https://doi.org/10.3390/meteorology2010001
Leirias RBV, Fedorova N, Levit V. Airplane Emergency Landing Due to Quick Development of Mesoscale Convective Complexes. Meteorology. 2023; 2(1):1-14. https://doi.org/10.3390/meteorology2010001
Chicago/Turabian StyleLeirias, Renata Barros Vasconcelos, Natalia Fedorova, and Vladimir Levit. 2023. "Airplane Emergency Landing Due to Quick Development of Mesoscale Convective Complexes" Meteorology 2, no. 1: 1-14. https://doi.org/10.3390/meteorology2010001