The role of ENSO flavours and TNA on recent droughts over Amazon forests and the Northeast Brazil region

Amazon tropical forests and the semiarid Northeast Brazil (NEB) region have registered very severe droughts during the last two decades, with a frequency that may have exceeded natural climate variability. Severe droughts impact the physiological response of Amazon forests, decreasing the availability to absorb atmospheric CO2, as well as biodiversity and increasing risk of fires. Droughts on this region also affect population by isolating them due to anomalous low river levels. Impacts of droughts over NEB region are related to water and energy security and subsistence agriculture. Most drought episodes over Amazonia and NEB are associated with El Niño (EN) events, anomalous warming over the Tropical North Atlantic (TNA), and even an overlapping among them. However, not all the dry episodes showed a large‐scale pattern linked to a canonical EN event or warm TNA episodes. For instance, dry episodes linked to EN events present distinct spatial patterns of precipitation anomalies depending on EN type (Central‐Pacific vs. Eastern‐Pacific EN), and NEB region experienced a severe drought in 2012 that is not attributed to EN or warm TNA events. Even in the case of the strong EN in 2015/16, some regional impacts have not been explained by EN contribution. This paper discusses the effects of CP and EP EN events, and the role of warm TNA events on tropical Walker and Hadley circulation leading to drought over Amazonia and NEB regions.

[1]  P. Sen Estimates of the Regression Coefficient Based on Kendall's Tau , 1968 .

[2]  R. Forthofer,et al.  Rank Correlation Methods , 1981 .

[3]  C. Ropelewski,et al.  Global and Regional Scale Precipitation Patterns Associated with the El Niño/Southern Oscillation , 1987 .

[4]  R. Reynolds,et al.  The NCEP/NCAR 40-Year Reanalysis Project , 1996, Renewable Energy.

[5]  F. Woodward,et al.  Dynamic responses of terrestrial ecosystem carbon cycling to global climate change , 1998, Nature.

[6]  R. Betts,et al.  Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model , 2000, Nature.

[7]  C. Nobre,et al.  The Drought of Amazonia in 2005 , 2008 .

[8]  H. Kao Eastern Pacific and central Pacific types of ENSO , 2009 .

[9]  J. Thepaut,et al.  The ERA‐Interim reanalysis: configuration and performance of the data assimilation system , 2011 .

[10]  ENSO regimes: Reinterpreting the canonical and Modoki El Niño , 2011 .

[11]  Sensitivity of South American summer rainfall to tropical Pacific Ocean SST anomalies , 2011 .

[12]  J. Espinoza,et al.  Climate variability and extreme drought in the upper Solimões River (western Amazon Basin): Understanding the exceptional 2010 drought , 2011 .

[13]  R. Andreoli,et al.  Seasonal anomalous rainfall in the central and eastern Amazon and associated anomalous oceanic and atmospheric patterns , 2012 .

[14]  J. Marengo,et al.  Two Contrasting Severe Seasonal Extremes in Tropical South America in 2012: Flood in Amazonia and Drought in Northeast Brazil , 2013 .

[15]  Boleslo E. Romero,et al.  A quasi-global precipitation time series for drought monitoring , 2014 .

[16]  R. Adler,et al.  Precipitation, temperature, and moisture transport variations associated with two distinct ENSO flavors during 1979–2014 , 2019, Climate Dynamics.

[17]  The influence of ENSO on South American precipitation during austral summer and autumn in observations and models , 2016 .

[18]  H. Hersbach,et al.  Sea Surface Temperature and Sea Ice Concentration for ERA 5 , 2016 .

[19]  José A. Sobrino,et al.  Record-breaking warming and extreme drought in the Amazon rainforest during the course of El Niño 2015–2016 , 2016, Scientific Reports.

[20]  N. Johnson,et al.  The impact of eastern equatorial Pacific convection on the diversity of boreal winter El Niño teleconnection patterns , 2016, Climate Dynamics.

[21]  O. Phillips,et al.  21st Century drought-related fires counteract the decline of Amazon deforestation carbon emissions , 2018, Nature Communications.

[22]  I. Zheleznova,et al.  Hadley and Walker circulation anomalies associated with the two types of El Niño , 2017, Russian Meteorology and Hydrology.

[23]  A. Barnston,et al.  Observing and Predicting the 2015/16 El Niño , 2017 .

[24]  Unprecedented drought over tropical South America in 2016: significantly under-predicted by tropical SST , 2017, Scientific Reports.

[25]  H. Barbosa,et al.  Validating CHIRPS-based satellite precipitation estimates in Northeast Brazil , 2017 .

[26]  Dell,et al.  Contrasting carbon cycle responses of the tropical continents to the 2015–2016 El Niño , 2017, Science.

[27]  K. F. Boersma,et al.  Widespread reduction in sun-induced fluorescence from the Amazon during the 2015/2016 El Niño , 2018, Philosophical Transactions of the Royal Society B: Biological Sciences.

[28]  W. Lavado-Casimiro,et al.  Impacts of different ENSO flavors and tropical Pacific convection variability (ITCZ, SPCZ) on austral summer rainfall in South America, with a focus on Peru , 2018 .

[29]  José A. Sobrino,et al.  Spatio-temporal patterns of thermal anomalies and drought over tropical forests driven by recent extreme climatic anomalies , 2018, Philosophical Transactions of the Royal Society B: Biological Sciences.

[30]  R. Betts,et al.  Changes in Climate and Land Use Over the Amazon Region: Current and Future Variability and Trends , 2018, Front. Earth Sci..

[31]  J. Marengo,et al.  Climatic characteristics of the 2010-2016 drought in the semiarid Northeast Brazil region. , 2018, Anais da Academia Brasileira de Ciencias.

[32]  R. Parker,et al.  Tropical land carbon cycle responses to 2015/16 El Niño as recorded by atmospheric greenhouse gas and remote sensing data , 2018, Philosophical Transactions of the Royal Society B: Biological Sciences.

[33]  O. Phillips,et al.  21st Century drought-related fires counteract the decline of Amazon deforestation carbon emissions , 2018, Nature Communications.

[34]  W. Ju,et al.  The impact of the 2015/2016 El Niño on global photosynthesis using satellite remote sensing , 2018, Philosophical Transactions of the Royal Society B: Biological Sciences.

[35]  Y. Malhi,et al.  Inter-comparison and assessment of gridded climate products over tropical forests during the 2015/2016 El Niño , 2018, Philosophical Transactions of the Royal Society B: Biological Sciences.

[36]  Mauricio Alves Moreira,et al.  Evaluating Precipitation Estimates from Eta, TRMM and CHRIPS Data in the South-Southeast Region of Minas Gerais State - Brazil , 2018, Remote. Sens..

[37]  L. Aragão,et al.  New insights into the variability of the tropical land carbon cycle from the El Niño of 2015/2016 , 2018, Philosophical Transactions of the Royal Society B: Biological Sciences.

[38]  Franklin Paredes-Trejo,et al.  Assessment of SM2RAIN-Derived and State-of-the-Art Satellite Rainfall Products over Northeastern Brazil , 2018, Remote. Sens..

[39]  P. de Rosnay,et al.  ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better? , 2018, Hydrology and Earth System Sciences.

[40]  A. Timmermann,et al.  El Niño–Southern Oscillation complexity , 2018, Nature.

[41]  J. Marengo,et al.  Drought monitoring in the Brazilian Semiarid region. , 2019, Anais da Academia Brasileira de Ciencias.

[42]  P. Brando,et al.  Droughts, Wildfires, and Forest Carbon Cycling: A Pantropical Synthesis , 2019, Annual Review of Earth and Planetary Sciences.

[43]  Sarah M. Kang,et al.  Pantropical climate interactions , 2019, Science.