scholarly journals Analysis of the Evolution of Drought through SPI and Its Relationship with the Agricultural Sector in the Central Zone of the State of Veracruz, Mexico

Agronomy ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2099
Author(s):  
Fernando Salas-Martínez ◽  
Ofelia Andrea Valdés-Rodríguez ◽  
Olivia Margarita Palacios-Wassenaar ◽  
Aldo Márquez-Grajales
Keyword(s):  
El Niño ◽  
Agricultural Sector ◽  
El Nino ◽  
Central Zone ◽  
The State ◽  
La Niña ◽  
Maximum Temperature ◽  
La Nina ◽  
The Relationship ◽  
Corn Grain

Agriculture and raising livestock are human activities highly affected by drought. In Mexico, the Veracruz territory is seriously affected by this phenomenon. Our study had two objectives: (1) to analyze the drought evolution through the Standardized Precipitation Index (SPI) and the maximum temperature in the central zone of the state of Veracruz for the period 1980–2018; and (2) to describe the relationship between the yield of corn grain and cattle, and the SPI, in the study area. The methodology consisted of calculating the SPI to estimate the drought conditions in the mentioned area. Subsequently, we determined the relationship of these conditions with the maximum temperature increase and the presence of El Niño/La Niña events. The results showed that the drought has intensified during 1980–2018, having a presence in almost 50% of the area. Additionally, the maximum temperature increased by approximately 6 °C. As a result, the cultivation of corn grain under rain conditions showed reductions in 48% of the analyzed municipalities. Concerning livestock variables, lower reductions were reported (42–32%) for the same period. Therefore, we can conclude that the drought has intensified in recent years due to an increase in the maximum temperature and El Niño/La Niña events, and these factors have had a higher impact on the agricultural sector.

scholarly journals Determination of priority locations to support climate change adaptation

2021 ◽  
Vol 892 (1) ◽  
pp. 012057
Author(s):  
D Firda ◽  
W Estiningtyas
Keyword(s):  
Climate Change ◽  
Regression Analysis ◽  
El Niño ◽  
Agricultural Sector ◽  
El Nino ◽  
Rice Production ◽  
La Niña ◽  
La Nina ◽  
The Impact ◽  
The Relationship

Abstract Climate change has had a significant impact on the agricultural sector and the impact is different in each place due to spatial variations in Indonesia. One of the efforts that must be made to reduce risk is to adapt. The purpose of this paper is to determine the key locations and their relationship to rice production for adaptation to climate change. Rainfall data and Oceanic Nino Index (ONI) are used to see the relationship between these two parameters through regression analysis and significance in El Niño and La Niña conditions. In El Niño conditions 24 key locations were obtained and in La Niña 3 priority locations. From the selected key locations, regression analysis was performed to determine the relationship between rainfall and rice production. The regression results at the sample locations show a fairly high R2 value, namely 0.4 to 0.9, namely in Juntinyuat (West Java), Palasari (Bali), and Detusoko (East Nusa Tenggara). Other key locations are also found in several provinces. This key location is a priority location where the rainfall is strongly influenced by the extreme climate phenomenon El Niño and La Niña so that it can be used to assess the impact and monitor its impact on food farming. Socialization of the use of climate information to extension workers and farmers will greatly help reduce risks and increase capacity to adapt to climate change.

Rendimento de grãos de soja e de milho, no Rio Grande do Sul, não difere entre eventos El Niño Oscilação Sul

Agrometeoros ◽  
2018 ◽  
Vol 26 (1) ◽  
Author(s):  
Ronaldo Matzenauer ◽  
Bernadete Radin ◽  
Alberto Cargnelutti Filho
Keyword(s):  
El Niño ◽  
El Nino ◽  
Southern Oscillation ◽  
Rio Grande ◽  
La Niña ◽  
Rio Grande Do Sul ◽  
La Nina ◽  
Significant Difference ◽  
Income Data ◽  
The Relationship

O objetivo deste trabalho foi avaliar a relação entre o fenômeno El Niño Oscilação Sul - ENOS e o rendimento de grãos de soja e de milho no Rio Grande do Sul e verificar a hipótese de que os eventos El Niño são favoráveis e os eventos La Niña são prejudiciais ao rendimento de grãos das culturas. Foram utilizados dados de rendimento de grãos dos anos agrícolas de 1974/75 a 2016/17, e relacionados com as ocorrências de eventos ENOS. Foram analisados os dados de rendimento observados na colheita e os dados estimados com a remoção da tendência tecnológica. Os resultados mostraram que não houve diferença significativa do rendimento médio de grãos de soja e de milho na comparação entre os eventos ENOS. Palavras-chave: El Niño, La Niña, safras agrícolas. Abstract – The objective of this work was to evaluate the relationship between the El Niño Southern Oscillation (ENSO) phenomenon with the grain yield of soybean and maize in Rio Grande do Sul state, Brazil and to verify the hypothesis that the El Niño events are favorable and the La Niña events are harmful to the culture’s grain yields. Were used data from the agricultural years of 1974/75 to 2016/17, and related to the occurrence of ENOS events. We analyzed income data observed at harvest and estimated data with technological tendency was removed. The results showed that there was no significant difference in the average yield of soybeans and corn in the comparison between events.

scholarly journals The ENSO–Asian Monsoon Interaction in a Coupled Ocean–Atmosphere GCM

2007 ◽  
Vol 20 (20) ◽  
pp. 5164-5177 ◽  
Author(s):  
Ying Li ◽  
Riyu Lu ◽  
Buwen Dong
Keyword(s):  
El Niño ◽  
Asian Monsoon ◽  
El Nino ◽  
Southern Oscillation ◽  
La Niña ◽  
Enso Cycle ◽  
Central Pacific ◽  
La Nina ◽  
Ocean Atmosphere ◽  
The Relationship

Abstract In this study, the authors evaluate the (El Niño–Southern Oscillation) ENSO–Asian monsoon interaction in a version of the Hadley Centre coupled ocean–atmosphere general circulation model (CGCM) known as HadCM3. The main focus is on two evolving anomalous anticyclones: one located over the south Indian Ocean (SIO) and the other over the western North Pacific (WNP). These two anomalous anticyclones are closely related to the developing and decaying phases of the ENSO and play a crucial role in linking the Asian monsoon to ENSO. It is found that the HadCM3 can well simulate the main features of the evolution of both anomalous anticyclones and the related SST dipoles, in association with the different phases of the ENSO cycle. By using the simulated results, the authors examine the relationship between the WNP/SIO anomalous anticyclones and the ENSO cycle, in particular the biennial component of the relationship. It is found that a strong El Niño event tends to be followed by a more rapid decay and is much more likely to become a La Niña event in the subsequent winter. The twin anomalous anticyclones in the western Pacific in the summer of a decaying El Niño are crucial for the transition from an El Niño into a La Niña. The El Niño (La Niña) events, especially the strong ones, strengthen significantly the correspondence between the SIO anticyclonic (cyclonic) anomaly in the preceding autumn and WNP anticyclonic (cyclonic) anomaly in the subsequent spring, and favor the persistence of the WNP anomaly from spring to summer. The present results suggest that both El Niño (La Niña) and the SIO/WNP anticyclonic (cyclonic) anomalies are closely tied with the tropospheric biennial oscillation (TBO). In addition, variability in the East Asian summer monsoon, which is dominated by the internal atmospheric variability, seems to be responsible for the appearance of the WNP anticyclonic anomaly through an upper-tropospheric meridional teleconnection pattern over the western and central Pacific.

Composite Analysis of the Effects of ENSO Events on Antarctica

2016 ◽  
Vol 29 (5) ◽  
pp. 1797-1808 ◽  
Author(s):  
Lee J. Welhouse ◽  
Matthew A. Lazzara ◽  
Linda M. Keller ◽  
Gregory J. Tripoli ◽  
Matthew H. Hitchman
Keyword(s):  
El Niño ◽  
Geopotential Height ◽  
El Nino ◽  
Southern Oscillation ◽  
Southern Annular Mode ◽  
La Niña ◽  
Austral Spring ◽  
Enso Events ◽  
La Nina ◽  
The Relationship

Abstract Previous investigations of the relationship between El Niño–Southern Oscillation (ENSO) and the Antarctic climate have focused on regions that are impacted by both El Niño and La Niña, which favors analysis over the Amundsen and Bellingshausen Seas (ABS). Here, 35 yr (1979–2013) of European Centre for Medium-Range Weather Forecasts interim reanalysis (ERA-Interim) data are analyzed to investigate the relationship between ENSO and Antarctica for each season using a compositing method that includes nine El Niño and nine La Niña periods. Composites of 2-m temperature (T2m), sea level pressure (SLP), 500-hPa geopotential height, sea surface temperatures (SST), and 300-hPa geopotential height anomalies were calculated separately for El Niño minus neutral and La Niña minus neutral conditions, to provide an analysis of features associated with each phase of ENSO. These anomaly patterns can differ in important ways from El Niño minus La Niña composites, which may be expected from the geographical shift in tropical deep convection and associated pattern of planetary wave propagation into the Southern Hemisphere. The primary new result is the robust signal, during La Niña, of cooling over East Antarctica. This cooling is found from December to August. The link between the southern annular mode (SAM) and this cooling is explored. Both El Niño and La Niña experience the weakest signal during austral autumn. The peak signal for La Niña occurs during austral summer, while El Niño is found to peak during austral spring.

scholarly journals Simulação da Precipitação Sazonal com o Regcm4 sobre o Estado do Pará para Anos de El Niño e La Niña (Simulation of Seasonal Precipitation with Regcm4 about the State of Pará for Years of El Niño and La Niña)

2013 ◽  
Vol 6 (5) ◽  
pp. 1316
Author(s):  
Pâmela Lorena Ribeiro Ávila ◽  
Everaldo Barreiros de Souza ◽  
Amanda Nascimento Pinheiro
Keyword(s):  
Spatial Patterns ◽  
El Niño ◽  
Climate Modeling ◽  
El Nino ◽  
Rainfall Variability ◽  
Regional Distribution ◽  
The State ◽  
La Niña ◽  
Seasonal Rainfall ◽  
La Nina

Este trabalho apresenta uma contribuição aos estudos de modelagem climática com ênfase na variabilidade pluviométrica sazonal do estado do Pará, durante as estações de verão e outono (DJF e MAM). Baseado nos resultados das simulações regionais do RegCM4 para os anos de El Niño (1982/83) e Lã Niña (1988/89) usando domínio em alta resolução espacial (50 Km) e dois diferentes esquemas de convecção (Grell e MIT), foi investigado o desempenho do modelo em simular a distribuição regional de precipitação sazonal no estado do Pará. As análises quantitativas evidenciaram que o RegCM4 apresenta erros sistemáticos, sobretudo aqueles relacionados a uma subestimativa das chuvas nas três grades (G1, G2, G3) para os anos de El Niño e Lã Niña sendo representativo apenas em pequenas áreas na região sudeste do estado no período do verão para o esquema Grell, e mostrou-se mais representativo na grade G2 do para o ano de El Niño no esquema MIT. Além disso, através da técnica de composições, também foi investigado o desempenho do RegCM4 em reproduzir os padrões espaciais anômalos de precipitação sazonal em associação aos episódios ENOS, e as fases do gradiente térmico sobre o Atlântico intertropical. Os resultados demonstraram que o modelo conseguiu representar realisticamente bem o padrão espacial das anomalias pluviométricas acima (abaixo) do normal em grande parte da Amazônia oriental, durante os conhecidos cenários favoráveis, i.e., condições de La Niña e gradiente de aTSM para o Atlântico sul (desfavoráveis, i.e., El Niño e gradiente de aTSM para o Atlântico norte). A B S T R A C T This paper presents a contribution to studies of climate modeling with emphasis on seasonal rainfall variability in the state of Pará, during the summer and autumn (DJF and MAM). Based on the results of simulations of regional RegCM4 for El Niño years (1982/83) and La Niña (1988/89) using the field at high spatial resolution (40 km) and two different convection schemes (Grell and MIT), was investigated the performance of the model to simulate the regional distribution of seasonal rainfall in the state of Pará. The quantitative analysis showed that the RegCM4 presents systematic errors, especially those related to an underestimation of rain in three grades (G1, G2, G3) for the years of El Niño and La Niña are representative only in small areas in the southeastern state in summer period for the Grell scheme, and was more representative of the grid G2 for the year of El Niño in the MIT scheme. Moreover, using the technique of composition, was also investigated in the performance of RegCM4 reproduce the spatial patterns of anomalous seasonal rainfall in association with ENSO episodes and phases of the thermal gradient over the Atlantic intertropical. The results showed that the model represented realistically and spatial patterns of rainfall anomalies above (below) of normal in much of the eastern Amazon, during the known favorable scenarios, ie, La Niña and gradient SSTa South Atlantic (unfavorable, ie, El Niño and gradient SSTa North Atlantic). Keywords: seasonal rainfall, El Nino, La Nina, Amazon, ENSO, RegCM4.

scholarly journals Identification of Rainfall Homogenous Regions taking into account El Niño and La Niña and Rainfall Decrease in the state of Pará, Brazilian Amazon

2016 ◽  
Vol 38 (2) ◽  
pp. 209 ◽  
Author(s):  
Mariane Furtado Gonçalves ◽  
Claudio José Cavalcante Blanco ◽  
Vanessa Conceição dos Santos ◽  
Luciana Leal dos Santos Oliveira ◽  
Francisco Carlos Lira Pessoa
Keyword(s):  
El Niño ◽  
El Nino ◽  
Brazilian Amazon ◽  
The State ◽  
La Niña ◽  
La Nina

scholarly journals Homogenous regions and rainfall probability models considering El Niño and La Niña in the State of Pará in the Amazon

2018 ◽  
Vol 40 (1) ◽  
pp. 37742 ◽  
Author(s):  
Mariane Furtado Gonçalves ◽  
Claudio José Cavalcante Blanco ◽  
Vanessa Conceição dos Santos ◽  
Luciana Leal dos Santos Oliveira
Keyword(s):  
El Niño ◽  
El Nino ◽  
The State ◽  
La Niña ◽  
Probability Models ◽  
La Nina

scholarly journals The Predictability of Interdecadal Changes in ENSO Activity and ENSO Teleconnections

2006 ◽  
Vol 19 (19) ◽  
pp. 4755-4771 ◽  
Author(s):  
Scott Power ◽  
Malcolm Haylock ◽  
Rob Colman ◽  
Xiangdong Wang
Keyword(s):  
Time Scales ◽  
El Niño ◽  
El Nino ◽  
Southern Oscillation ◽  
La Niña ◽  
Enso Teleconnections ◽  
La Nina ◽  
Sst Anomaly ◽  
The Relationship ◽  
Interdecadal Changes

Abstract El Niño–Southern Oscillation (ENSO) in a century-long integration of a Bureau of Meteorology Research Centre (BMRC) coupled general circulation model (CGCM) drives rainfall and temperature changes over Australia that are generally consistent with documented observational changes: dry/hot conditions occur more frequently during El Niño years and wet/mild conditions occur more frequently during La Niña years. The relationship between ENSO [as measured by Niño-4 or the Southern Oscillation index (SOI), say] and all-Australia rainfall and temperature is found to be nonlinear in the observations and in the CGCM during June–December: a large La Niña sea surface temperature (SST) anomaly is closely linked to a large Australian response (i.e., Australia usually becomes much wetter), whereas the magnitude of an El Niño SST anomaly is a poorer guide to how dry Australia will actually become. Australia tends to dry out during El Niño events, but the degree of drying is not as tightly linked to the magnitude of the El Niño SST anomaly. Nonlinear or asymmetric teleconnections are also evident in the western United States/northern Mexico. The implications of asymmetric teleconnections for prediction services are discussed. The relationship between ENSO and Australian climate in both the model and the observations is strong in some decades, but weak in others. A series of decadal-long perturbation experiments are used to show that if these interdecadal changes are predictable, then the level of predictability is low. The model’s Interdecadal Pacific Oscillation (IPO), which represents interdecadal ENSO-like SST variability, is statistically linked to interdecadal changes in ENSO’s impact on Australia during June–December when ENSO’s impact on Australia is generally greatest. A simple stochastic model that incorporates the nonlinearity above is used to show that the IPO [or the closely related Pacific Decadal Oscillation (PDO)] can appear to modulate ENSO teleconnections even if the IPO–PDO largely reflect unpredictable random changes in, for example, the relative frequency of El Niño and La Niña events in a given interdecadal period. Note, however, that predictability in ENSO-related variability on decadal time scales might be either underestimated by the CGCM, or be too small to be detected by the modest number of perturbation experiments conducted. If there is a small amount of predictability in ENSO indices on decadal time scales, and there may be, then the nonlinearity described above provides a mechanism via which ENSO teleconnections could be modulated on decadal time scales in a partially predictable fashion.

scholarly journals The Impact of Different Phases of the El Niño-Southern Oscillation Phenomenon on Goiás State Rainfalls and Temperature Characteristics Across Three Decades

2021 ◽  
Author(s):  
David Henriques da Matta ◽  
Caio Augusto dos Santos Coelho ◽  
Leydson Lara dos Santos ◽  
Luis Fernando Stone ◽  
Alexandre Bryan Heinemann
Keyword(s):  
El Niño ◽  
Minimum Temperature ◽  
El Nino ◽  
Southern Oscillation ◽  
La Niña ◽  
El Niño Southern Oscillation ◽  
Maximum Temperature ◽  
El Nino Southern Oscillation ◽  
La Nina ◽  
The Impact

Abstract Rainfall and temperature are the two key parameters of crop development. Studying the characteristics of these parameters under El Niño-Southern Oscillation (ENSO) conditions is important to better understand the impacts of the different phases of this phenomenon (El Niño, Neutral, and La Niña conditions) on agriculture. This study analyzes 32 years (1980–2011) of climatic data from 128 weather stations across Goiás State in Brazil to determine the behavior of temperature and rainfall time series over three periods (1980–1989; 1990–1999 and 2000–2011) under El Niño, Neutral, and La Niña conditions. The analysis revealed no major impacts of ENSO conditions on accumulated rainfall characteristics, a feature particularly marked in the most recent period (2000–2011). ENSO impacting temperature was identified but presented considerable variability across the periods investigated. These impacts were marked in the first two periods as for maximum temperature and increased from the first to the last period as for minimum temperature. These features were noticed in both analyses in the entire Goiás State and most of the investigated mega-regions, except for the East and Northeast mega-regions as for minimum temperature. There were increases in maximum temperature values throughout the rainfed season (October to March) for all ENSO conditions and investigated periods. Minimum temperature also increased across the three investigated periods, and this was marked in the beginning of the rainfed season (October) under El Niño and Neutral conditions.

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