Streamflow and precipitation trends in the Brazilian Amazon basin and their association with Pacific decadal oscillation and deforestation

Limberger, Leila; Silva, Maria Elisa Siqueira; Pereira, Gabriel; Cardozo, Francielle da Silva; Mataveli, Guilherme Augusto Verola; Lima, Bruna Simões

doi:10.1007/s00704-021-03739-1

Cited by 7 publications

(1 citation statement)

References 44 publications

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“…For example Harisuseno (2020) found a relationship between the Southern Oscillation Index (SOI) and meteorological drought. More recently Limberger et al (2021) connected the Pacific Decadal Oscillation (PDO) and deforestation with streamflow and precipitation trends in the Brazilian Amazon basin. Their study showed that deforestation could be more influential than PDO in the negative trends for some regions.…”

Section: Introductionmentioning

confidence: 99%

Cross-correlating deforestation and atmospheric indexes to local rainfall and temperature patterns through detrended multiple cross-correlation analysis

Millán,

Limberger,

Cumbrera

2023

Preprint

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Deforestation negatively influences rainfall, soil and air temperature. The objective of this work was to investigate the multiscale association of deforestation, Pacific Decadal Oscillation, Southern Oscillation Index and East Atlantic Oscillation with rainfall and temperature dynamics. Monthly records of rainfall and temperature from Belem and Manaus (Brazilian Amazonia) were analyzed. The deforestation series corresponds to the whole Amazonia area. Data sets spanned from April 2008 to December 2019. The methodology was based on detrended cross-correlation analysis, multiple detrended cross-correlation and multiscale joint entropy. The significance was assessed by generating probability distribution functions from 5000 simulated Gaussian signals. For Belem, the association of deforestation/EAO/SOI rendered the maximal coefficient value with 18 months as the time scale of maximal cross-correlation. In Manaus, 18 months was the time scale of maximal association with all signal pairs influencing rainfall dynamics significantly. The significance region spanned from 12 to 24 months for both sites. The deforestation/EAO pair showed the highest multiple cross-correlations with air temperature at all time scales larger than 12 months for Belem. However, multiple cross-correlations and significance regions were smaller for Manaus. The joint entropy was smaller than the sum of its marginal values which indicates dependence between the coupled processes. Rainfall/SOI and temperature/SOI pairs portrayed the more complex dynamics in Belem. Rainfall/PDO and temperature/SOI were more complex in Manaus. The entropy correlation coefficient suggests m=15 months as the scale of the deforestation footprint on rainfall patterns. Multiscale methods are better descriptors of coupled atmospheric/anthropogenic processes than those derived from traditional statistics.

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Section: Introductionmentioning

confidence: 99%

Cross-correlating deforestation and atmospheric indexes to local rainfall and temperature patterns through detrended multiple cross-correlation analysis

Millán,

Limberger,

Cumbrera

2023

Preprint

Self Cite

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New insights into trends of rainfall extremes in the Amazon basin through trend‐empirical orthogonal function (1981–2021)

Cerón,

Kayano,

Andreoli

et al. 2024

Intl Journal of Climatology

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Studies related to monitoring changes in frequency, intensity and duration of precipitation extremes are key to creating efficient climate change measures and forest conservation policies. This study describes new insights into rainfall precipitation extremes over the Amazon basin (AB) during the last four decades (1981–2021) from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPSv2). Here we analysed the trends of daily extreme precipitation indices proposed by the Expert Team on Climate Change Detection and Indices (ETCCDI) at the seasonal scale, using the trend‐empirical orthogonal function (TEOF). Our results indicate that the frequency of precipitation extremes increased over Peruvian Amazonia and northeastern Brazilian Amazonia, and reduced in the centre of AB, mainly during the first seasons of the year: December–January–February (DJF) and March–April–May (MAM). The cooling trend over the eastern and central tropical Pacific and the warming trend over the tropical and western subtropical Pacific could associate with the increase in frequency of precipitation extremes in DJF. Furthermore, during June–July–August (JJA) and September–October–November (SON), rainfall intensity indices showed a decrease in Colombia and the Bolivian Amazon; in contrast, northern and southern Peru delivered an increased pattern. The trend pattern in the JJA and SON seasons could be associated with a warming trend over most of the North Atlantic and a cooling in the 40°–60° S band. Our results demonstrate that the precipitation extremes over the AB have spatially varying trends. These heterogeneous trends over the space might be take into account for robust adaptation policies over the countries that are parts of the AB, such as Bolivia, Brazil, Colombia, Ecuador, Guyana, Perú, Surinam and Venezuela.

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Rivers

Goudie

2023

Landscapes of the Anthropocene With Google Earth

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Streamflow and precipitation trends in the Brazilian Amazon basin and their association with Pacific decadal oscillation and deforestation

Cited by 7 publications

References 44 publications

Cross-correlating deforestation and atmospheric indexes to local rainfall and temperature patterns through detrended multiple cross-correlation analysis

Cross-correlating deforestation and atmospheric indexes to local rainfall and temperature patterns through detrended multiple cross-correlation analysis

New insights into trends of rainfall extremes in the Amazon basin through trend‐empirical orthogonal function (1981–2021)

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