Long‐term trend analysis in annual, seasonal and monthly rainfall in East Northeast of Brazil and the influence of modes of climate variability
The study of rainfall trends is crucial for food security and water availability in Alagoas state, Northeast of Brazil. In this work, monthly, seasonal and annual rainfall trends have been studied (1960–2016) for homogeneous rainfall regions over the eastern part of the Northeast Brazil (ENEB) and l...
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description | The study of rainfall trends is crucial for food security and water availability in Alagoas state, Northeast of Brazil. In this work, monthly, seasonal and annual rainfall trends have been studied (1960–2016) for homogeneous rainfall regions over the eastern part of the Northeast Brazil (ENEB) and later related to climate variability. Cluster analysis was applied to identify homogeneous rainfall regions while the Mann–Kendall (MK), modified Mann–Kendall (MMK) and Pettitt tests were used in the analysis and identification of trends on a spatial and temporal scale. To relate rainfall and climate variability modes, Spearman's correlation was used in each homogeneous region. The rainfall series provided evidence of a general decrease in rainfall in the rainy period and an increase in the dry period, mainly over the driest region. The break points of time series occurred mostly in periods of great variations in values of modes of climate variability, especially the Monthly Niño3.4 Index and the Southern Oscillation Index (SOI), both having a robust influence across the region. Moreover, the probable rainfall in the time series with trends was different in most months before and after the breakpoint. After the breakpoint, probable rainfall was lower, influenced by the breakpoint year (size of the series before and after the breakpoint), which mainly occurred in the 1980s and 1990s and presented a warm phase and a greater number of El Niño events. The MK and MMK trend tests showed the ability to detect trends, although there is no established standard on which test or version to use due to self‐correlated, nonhomogeneous series with nonrandom or nonindependent data. Rainfall is an important variable for water and food security and in the monitoring of natural disasters. The changes detected in this study can be used as reference information for public policies on water resources and future studies for Alagoas and similar regions.
Temporal trends in rainfall were reported as climate variability. |
doi_str_mv | 10.1002/joc.8274 |
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Temporal trends in rainfall were reported as climate variability.</description><subject>Analysis</subject><subject>Annual rainfall</subject><subject>Brazilian Northeast rainfall</subject><subject>Climate</subject><subject>climate change</subject><subject>Climate variability</subject><subject>Climatic analysis</subject><subject>Cluster analysis</subject><subject>Disasters</subject><subject>El Nino</subject><subject>El Nino events</subject><subject>El Nino phenomena</subject><subject>Food availability</subject><subject>Food security</subject><subject>Modes</subject><subject>Monthly</subject><subject>Monthly rainfall</subject><subject>Natural disasters</subject><subject>Precipitation</subject><subject>Public policy</subject><subject>Rainfall</subject><subject>rainfall frequency distribution</subject><subject>Rainfall trends</subject><subject>Southern Oscillation</subject><subject>Southern Oscillation Index</subject><subject>Time series</subject><subject>Trend analysis</subject><subject>Trends</subject><subject>Variability</subject><subject>Water availability</subject><subject>Water policy</subject><subject>Water resources</subject><issn>0899-8418</issn><issn>1097-0088</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp1kE1OwzAQhS0EEqUgcQRLbFiQYjtpYi-hKn-q6AbW0cSxqSsnBjsFhRVHgCtyEhzKltU8vflmNPMQOqZkQglh52snJ5wV2Q4aUSKKhBDOd9GIcCESnlG-jw5CWBNChKD5CH0tXPv0_fHZKd_gzqu2xtCC7YMJ2LRRtxuwZzgoCC760ahx49puZXvswbQarB3AOYQO3zvfrdSgnMaXHt7NdiCakdF2o1qphl7jahUGIa1poFP4FbyByljT9YdoLy4N6uivjtHj1fxhdpMslte3s4tFIplIs4SKOgdWV0pUWQpSasgEy4tMSqqVgKKSjOdc00zWFegMNI1OkTOdk0rTaZGO0cl277N3LxsVunLtNj7-GEomCJvmRUp5pE63lPQuBK90-ezjyb4vKSmHwOOULIfAI5ps0TdjVf8vV94tZ7_8DyAHhaw</recordid><startdate>20231230</startdate><enddate>20231230</enddate><creator>Abreu, Marcel Carvalho</creator><creator>Souza Fraga, Micael</creator><creator>Lyra, Gustavo Bastos</creator><creator>Oliveira Junior, José Francisco</creator><creator>Jesús Villar‐Hernández, Bartolo</creator><creator>Souza, Amaury</creator><creator>Zeri, Marcelo</creator><general>John Wiley & Sons, Ltd</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0002-5862-0056</orcidid><orcidid>https://orcid.org/0000-0002-6457-421X</orcidid><orcidid>https://orcid.org/0000-0003-1244-0858</orcidid><orcidid>https://orcid.org/0000-0002-9882-7000</orcidid><orcidid>https://orcid.org/0000-0002-6131-7605</orcidid><orcidid>https://orcid.org/0000-0001-8168-1482</orcidid><orcidid>https://orcid.org/0000-0002-1996-9343</orcidid></search><sort><creationdate>20231230</creationdate><title>Long‐term trend analysis in annual, seasonal and monthly rainfall in East Northeast of Brazil and the influence of modes of climate variability</title><author>Abreu, Marcel Carvalho ; 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In this work, monthly, seasonal and annual rainfall trends have been studied (1960–2016) for homogeneous rainfall regions over the eastern part of the Northeast Brazil (ENEB) and later related to climate variability. Cluster analysis was applied to identify homogeneous rainfall regions while the Mann–Kendall (MK), modified Mann–Kendall (MMK) and Pettitt tests were used in the analysis and identification of trends on a spatial and temporal scale. To relate rainfall and climate variability modes, Spearman's correlation was used in each homogeneous region. The rainfall series provided evidence of a general decrease in rainfall in the rainy period and an increase in the dry period, mainly over the driest region. The break points of time series occurred mostly in periods of great variations in values of modes of climate variability, especially the Monthly Niño3.4 Index and the Southern Oscillation Index (SOI), both having a robust influence across the region. Moreover, the probable rainfall in the time series with trends was different in most months before and after the breakpoint. After the breakpoint, probable rainfall was lower, influenced by the breakpoint year (size of the series before and after the breakpoint), which mainly occurred in the 1980s and 1990s and presented a warm phase and a greater number of El Niño events. The MK and MMK trend tests showed the ability to detect trends, although there is no established standard on which test or version to use due to self‐correlated, nonhomogeneous series with nonrandom or nonindependent data. Rainfall is an important variable for water and food security and in the monitoring of natural disasters. The changes detected in this study can be used as reference information for public policies on water resources and future studies for Alagoas and similar regions.
Temporal trends in rainfall were reported as climate variability.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/joc.8274</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-5862-0056</orcidid><orcidid>https://orcid.org/0000-0002-6457-421X</orcidid><orcidid>https://orcid.org/0000-0003-1244-0858</orcidid><orcidid>https://orcid.org/0000-0002-9882-7000</orcidid><orcidid>https://orcid.org/0000-0002-6131-7605</orcidid><orcidid>https://orcid.org/0000-0001-8168-1482</orcidid><orcidid>https://orcid.org/0000-0002-1996-9343</orcidid></addata></record> |
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subjects | Analysis Annual rainfall Brazilian Northeast rainfall Climate climate change Climate variability Climatic analysis Cluster analysis Disasters El Nino El Nino events El Nino phenomena Food availability Food security Modes Monthly Monthly rainfall Natural disasters Precipitation Public policy Rainfall rainfall frequency distribution Rainfall trends Southern Oscillation Southern Oscillation Index Time series Trend analysis Trends Variability Water availability Water policy Water resources |
title | Long‐term trend analysis in annual, seasonal and monthly rainfall in East Northeast of Brazil and the influence of modes of climate variability |
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