scholarly journals Temporal variability of the bivalve Erodona mactroides BOSC, 1802 during and after the El Niño phenomenon (2002/2003) in a subtropical lagoon, southern Brazil

2010 ◽  
Vol 22 (4) ◽  
pp. 410-423 ◽  
Author(s):  
Leonir André Colling ◽  
Carlos Emilio Bemvenuti ◽  
Raphael Mathias Pinotti
Keyword(s):  
El Niño ◽  
Temporal Variability ◽  
El Nino ◽  
Southern Brazil ◽  
Subtropical Lagoon

scholarly journals Estudo da Influência da Oscilação Decadal do Pacífico no Nordeste do Brasil (Study of the Influence of Pacific Decadal Oscillation in Northeast of Brazil)

2011 ◽  
Vol 4 (4) ◽  
pp. 665 ◽  
Author(s):  
Djane Fonseca Da Silva ◽  
Josicleda Domiciano Galvíncio
Keyword(s):  
Pacific Decadal Oscillation ◽  
El Niño ◽  
Temporal Variability ◽  
El Nino ◽  
Rainfall Variability ◽  
Northeastern Brazil ◽  
Simultaneous Occurrence ◽  
Precipitation Data ◽  
The Pacific ◽  
Dominant Peak

 Pretende-se nesse trabalho investigar como a ODP exerce influência sobre a variabilidade pluviométrica da sub-bacia hidrográfica do Baixo São Francisco, situada na região Nordeste do Brasil. Foram utilizados dados de precipitação de 17 localidades para o período de dados de 1911-1993 obtidos através da Agência Nacional das Águas (ANA) pelo site www.ana.gov.br/hidroweb. O pico dominante para a variabilidade temporal do BSF é da escala de 20,2-22 anos e pico secundário, significativo, ocorre na escala de 11 anos. Durante a ocorrência simultânea de ENOS e ODP negativa, as anomalias positivas aumentaram consideravelmente. O que parece é que a ODP negativa incrementa os valores das anomalias de chuva, tanto durante El Niño, quanto La Niña.Palavras-chave: Oscilação Decadal do Pacífico, Baixo São Francisco, Análise de Ondeletas  Study of the Influence of the Pacific Decadal Oscillation in the Northeast of Brazil  ABSTRACT It is intended this work to investigate how the PDO influence on rainfall variability in the sub-basin of the Lower São Francisco, located in northeastern Brazil. We used precipitation data from 17 sites for the period 1911-1993 data obtained through the National Water Agency (ANA) by the site www.ana.gov.br / hidroweb. The dominant peak for the temporal variability of BSF is the range of 20.2 to 22 years and secondary peak, significantly, occurs in the range of 11 years. During the simultaneous occurrence of ENSO and PDO negative, the positive anomalies have increased considerably. It turns out that the PDO increases the negative values of abnormal rainfall, both during El Niño, and La Niña. Keywords: Pacific Decadal Oscillation, Low São Francisco, Wavelet Analysis

scholarly journals Dominant Features of Global Surface Soil Moisture Variability Observed by the SMOS Satellite

2019 ◽  
Vol 11 (1) ◽  
pp. 95 ◽  
Author(s):  
Maria Piles ◽  
Joaquim Ballabrera-Poy ◽  
Joaquín Muñoz-Sabater
Keyword(s):  
Soil Moisture ◽  
El Niño ◽  
Temporal Variability ◽  
Surface Soil ◽  
El Nino ◽  
Surface Soil Moisture ◽  
Temporal Phase ◽  
Global Surface ◽  
Soil Moisture Variability ◽  
Moisture Variability

Soil moisture observations are expected to play an important role in monitoring global climate trends. However, measuring soil moisture is challenging because of its high spatial and temporal variability. Point-scale in-situ measurements are scarce and, excluding model-based estimates, remote sensing remains the only practical way to observe soil moisture at a global scale. The ESA-led Soil Moisture and Ocean Salinity (SMOS) mission, launched in 2009, measures the Earth’s surface natural emissivity at L-band and provides highly accurate soil moisture information with a 3-day revisiting time. Using the first six full annual cycles of SMOS measurements (June 2010–June 2016), this study investigates the temporal variability of global surface soil moisture. The soil moisture time series are decomposed into a linear trend, interannual, seasonal, and high-frequency residual (i.e., subseasonal) components. The relative distribution of soil moisture variance among its temporal components is first illustrated at selected target sites representative of terrestrial biomes with distinct vegetation type and seasonality. A comparison with GLDAS-Noah and ERA5 modeled soil moisture at these sites shows general agreement in terms of temporal phase except in areas with limited temporal coverage in winter season due to snow. A comparison with ground-based estimates at one of the sites shows good agreement of both temporal phase and absolute magnitude. A global assessment of the dominant features and spatial distribution of soil moisture variability is then provided. Results show that, despite still being a relatively short data set, SMOS data provides coherent and reliable variability patterns at both seasonal and interannual scales. Subseasonal components are characterized as white noise. The observed linear trends, based upon one strong El Niño event in 2016, are consistent with the known El Niño Southern Oscillation (ENSO) teleconnections. This work provides new insight into recent changes in surface soil moisture and can help further our understanding of the terrestrial branch of the water cycle and of global patterns of climate anomalies. Also, it is an important support to multi-decadal soil moisture observational data records, hydrological studies and land data assimilation projects using remotely sensed observations.

Citrus postbloom fruit drop risk in Southern Brazil as influenced by different El Niño Southern Oscillation (ENSO) phases

Agrometeoros ◽  
2020 ◽  
Vol 28 ◽  
Author(s):  
Henrique Boriolo Dias ◽  
Ana Raquel Soares-Colletti ◽  
Fernando Dill Hinnah ◽  
Paulo Cesar Sentelhas
Keyword(s):  
El Niño ◽  
El Nino ◽  
Southern Oscillation ◽  
El Niño Southern Oscillation ◽  
El Nino Southern Oscillation ◽  
Southern Brazil ◽  
Fruit Drop ◽  
Enso Phases

Spatio-temporal variability of lightning and convective activity over South/South-East Asia with an emphasis during El Niño and La Niña

2017 ◽  
Vol 197 ◽  
pp. 150-166 ◽  
Author(s):  
Upal Saha ◽  
Devendraa Siingh ◽  
S.K. Midya ◽  
R.P. Singh ◽  
A.K. Singh ◽  
...  
Keyword(s):  
East Asia ◽  
El Niño ◽  
Temporal Variability ◽  
El Nino ◽  
La Niña ◽  
South East Asia ◽  
Convective Activity ◽  
La Nina ◽  
Spatio Temporal

scholarly journals Precipitação em Rio Grande – RS (1913 – 2016): Análise descritiva e da variabilidade

2021 ◽  
Vol 14 (2) ◽  
pp. 537
Author(s):  
Tamires Da Rosa Silva ◽  
Ítalo Reis ◽  
Eliana Klering ◽  
Eder Bayer Maier
Keyword(s):  
Standard Deviation ◽  
El Niño ◽  
Temporal Variability ◽  
El Nino ◽  
Temporal Distribution ◽  
Rio Grande ◽  
Precipitation Variability ◽  
La Niña ◽  
Extreme Precipitation Events ◽  
La Nina

O objetivo desse artigo é analisar a variabilidade temporal da precipitação em Rio Grande – RS, no período entre 1913 e 2016. Para isso foram utilizadas técnicas estatísticas descritivas e inferencial para caracterizar a distribuição da precipitação em diferentes escalas de tempo e para identificar os ciclos temporais da ocorrência de secas e chuvas acima da média e suas relações com os fenômenos remotos. As análises mostram que a precipitação mensal em Rio Grande varia entre 0,3mm e 551,8mm, com uma média de 102,1 mm e desvio padrão de 66,1 mm; o total anual da precipitação variou entre 625 mm e 2.261,9 mm, com uma média de 1.226 mm; a média mensal tem uma amplitude de 71,2 mm e 126,7 mm, sendo as médias de dezembro e setembro, respectivamente; e são os meses do verão e o outono que apresentaram maior e menor variabilidade da precipitação. Os ciclos temporais da ocorrência de secas e chuvas acima da média ocorreram predominantemente na escala interanual e está associado predominantemente aos fenômenos ENOS e ODP, sendo mais comum a ocorrência de chuvas acima da média/secas concomitantes ao El Niño/La Niña. Não sendo raro a ocorrência de secas e chuvas acima da média, visto que foram identificados 219 meses de seca e 210 meses de chuvas excessivas no período entre 1913 e 2016, adotando um limiar de |56,4 mm| da anomalia da precipitação.Palavras-chave: Precipitação, variabilidade, wavelet, Rio Grande.                                                                                                                                 Precipitation in the city of Rio Grande – RS (1913 – 2016): Descriptive and variability analysis A B S T R A C T The aim was to analyze the temporal variability of rainfall in Rio Grande - RS, during the years 1913-2016, in order to understand the temporal distribution, using descriptive statistical techniques to characterize the monthly and annual total, the monthly averages, the anomalies, the occurrence of extreme events and inferential techniques in order to characterize the main remote factors controlling precipitation variability. The results of these descriptive analyzes show that the monthly rainfall in Rio Grande varies between 0.3mm and 551.8mm with an average of 102.1mm and standard deviation of 66.1mm; the total annual precipitation indicated a variation between 625 mm (minimum) and 2,261.9 mm (maximum), with an average annual accumulation of 1,226 mm; the monthly average varies between 71.2 mm and 126.7 mm, referring to the months of December and September, respectively; estimation of standard deviation showed summer and autumn as the months with the highest and lowest variations, respectively. Temporal variability occurred at the interannual and interdecenal scales and are predominantly associated with the ENSO/ODP phenomenon, with more than average rainfall occurrin /droughts concomitant with El Niño/La Niña.  Anomalies above | 56.4 mm | were considered extreme precipitation events and was identified with the technique of quartiles, 219 months of drought and 210 months of excessive rainfall in the period between 1913 and 2016.Keywords: Precipitation, variability, wavelet, Rio Grande.

scholarly journals Spatial and temporal variability of surface chlorophyll-a in the Gulf of Tomini, Sulawesi, Indonesia

2018 ◽  
Vol 19 (3) ◽  
pp. 793-801 ◽  
Author(s):  
QURNIA WULAN SARI ◽  
EKO SISWANTO ◽  
DEDI SETIABUDIDAYA ◽  
INDRA YUSTIAN ◽  
ISKHAQ ISKANDAR
Keyword(s):  
Chlorophyll A ◽  
El Niño ◽  
Temporal Variability ◽  
El Nino ◽  
Southern Oscillation ◽  
Surface Wind ◽  
Boreal Summer ◽  
Boreal Winter ◽  
Spatial And Temporal Variability ◽  
Chl A

Sari QW, Siswanto E, Setiabudidaya D, Yustian I, Iskandar I. 2018. Spatial and temporal variability of surface chlorophyll-a in the Gulf of Tomini, Sulawesi, Indonesia. Biodiversitas 19: 793-801. The Gulf of Tomini (GoT) is mostly influenced by seasonal and interannual events. So, the immensive aim of this study is to explore spatial and temporal variations of chlorophyll-a (chl-a) and oceanographic parameters in the GoT under the influences of monsoonal winds, El Niño Southern Oscillation (ENSO), and Indian Ocean Dipole (IOD). The data were collected from the satellite imaging of chl-a and sea and surface temperature (SST) as well as surface wind from the reanalysis data for a period of January 2003 to December 2015. Monthly variations of the chl-a and SST in the GoT reveal chl-a bloom in the center part to the mouth of the GoT during the southeast monsoon season (boreal summer). The chl-a concentrations were relatively higher (>0.1 mg m-3) and distributed throughout most of the areas near the Maluku Sea. The SST in the middle of the GoT was relatively lower than that near the Maluku Sea (the eastern part of the GoT). On the other hand, during the northwest monsoon (boreal winter), the chl-a concentration decreased (<0.1 mg m-3). During this season, the SST was relatively higher (28-29 °C) than that during the boreal summer (27-26 °C) and distributed uniformly. Meanwhile, on interannual timescale, the ENSO and IOD play important role in regulating chl-a distribution in the GoT. High surface chl-a concentration was observed during El Niño and/or positive IOD events. Enhanced surface chl-a concentration during El Niño and/or positive IOD events was associated with the upward Ekman pumping induced by the southeasterly wind anomalies. The situation was reversed during the Niña and/or negative IOD events.

Rain-on-Snow Events in the Western United States

2007 ◽  
Vol 88 (3) ◽  
pp. 319-328 ◽  
Author(s):  
Gregory J. McCabe ◽  
Martyn P. Clark ◽  
Lauren E. Hay
Keyword(s):  
United States ◽  
El Niño ◽  
Temporal Variability ◽  
El Nino ◽  
Flood Hazard ◽  
La Niña ◽  
Western United States ◽  
Spatial And Temporal Variability ◽  
Southwestern United States ◽  
La Nina

Rain-on-snow events pose a significant flood hazard in the western United States. This study provides a description of the spatial and temporal variability of the frequency of rain-on-snow events for 4318 sites in the western United States during water years (October through September) 1949–2003. Rain-on-snow events are found to be most common during the months of October through May; however, at sites in the interior western United States, rain-on-snow events can occur in substantial numbers as late as June and as early as September. An examination of the temporal variability of October through May rain-on-snow events indicates a mixture of increasing and decreasing trends in rain-on-snow events across the western United States. Decreasing trends in rain-on-snow events are most pronounced at lower elevations and are associated with trends toward fewer snowfall days and fewer precipitation days with snow on the ground. Rain-on-snow events are more (less) frequent in the northwestern (southwestern) United States during La Niña (El Niño) conditions. Additionally, increases in temperature in the western United States appear to be contributing to decreases in the number of rain-on-snow events for many sites through effects on the number of days with snowfall and the number of days with snow on the ground.

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