Long-Term Rainfall Trends over the Tanzania Coast

Kabanda, Tibangayuka

doi:10.3390/atmos9040155

Cited by 16 publications

(10 citation statements)

References 21 publications

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“…Based on the previous studies which have been focused over the coastal region (Kabanda, 2018;Kabanda & Jury, 1999;Zorita & Tilya, 2002;Mapande & Reason, 2005;Kijazi & Reason, 2005, this study tends to cover the entire country by investigating the inter-annual variability of MAM rainfall and its associated atmospheric circulation by seeking the answers of the following questions; (i) How does the rainfall over the country varies from March to May (MAM) season from 1978 to 2017? (ii) How does the rainfall over Tanzania during MAM season responds to fluctuation of atmospheric systems?…”

Section: Introductionmentioning

confidence: 99%

Inter-annual variability of March to May rainfall over Tanzania and its association with atmospheric circulation anomalies

King’uza¹,

Tilwebwa²

2019

Geographica Pannonica

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This study used Empirical Orthogonal Function (EOF), student t test, composite and correlation analysis techniques to investigate the inter-annual variability of March to May rainy season over Tanzania and its association atmospheric circulation anomalies. The EOF results showed that the rainfall over Tanzania during MAM season does not vary too much with the first dominant mode (EOF1) showing the variance of 22.4% of the total rainfall and that much of the rainfall being concentrated over the coast, northeastern and southern regions. It was found that during wet years, the study area was dominated by convergence at lower level which is associated with enough moisture advected by south easterlies from Indian Ocean due to the relaxation of Mascarene high (MH) over the region and westerlies from Congo basin. The rising motion at lower level was enhanced with the presence of ascending limb of Walker circulation cell over the western Indian Ocean (WIO) and the coast region. Central Pacific and east coast of Atlantic Oceans are relatively warm during wet years. Furthermore, significantly negative correlation observed between southeast Indian Ocean (SEIO) region and MAM rainfall over Tanzania at the 95% confidence level portrays that much of the regions receive high sufficient amount of rainfall when the western Indian Ocean (WIO) is relatively warmer than the SEIO. The results show that Nino 3.4 and Tropical North Atlantic (TNA) indices are strongly positively correlated with MAM rainfall over the east coast region. This study will help to improve seasonal forecasts over Tanzania.

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Section: Introductionmentioning

confidence: 99%

Inter-annual variability of March to May rainfall over Tanzania and its association with atmospheric circulation anomalies

King’uza¹,

Tilwebwa²

2019

Geographica Pannonica

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“…For statistic S calculated with the following Eq. (1) ( Kabanda, 2018 ; Meena et al., 2019 ; Mohsenipour et al., 2018 ; Rahman et al., 2017 ; Sharma and Singh, 2017 ; Wang et al., 2020 )

where data points are x i and x j and data values are in i and j (j > i), where

) is determined by Eq. (2)

…”

Section: Methodsmentioning

confidence: 99%

“…For statistic S calculated with the following Eq. ( 1) (Kabanda, 2018;Meena et al, 2019;Mohsenipour et al, 2018;Sharma and Singh, 2017;Wang et al, 2020…”

Section: Mann-kendall Trend Testmentioning

confidence: 99%

Spatiotemporal evaluation of drought trend during 1979–2019 in seven climatic zones of Bangladesh

Rahman

Rony

Jannat

2021

Heliyon

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Evaluation of drought is essential and useful to eradicate climate change impact. Therefore, this study aims to explore the spatiotemporal drought intensity trend in seven climatic zones of Bangladesh during 1979-2019. Mann-Kendall trend test and Standardized Precipitation Evapotranspiration Index (SPEI) are employed to identify drought trend and status, whereas spatial visualization is checked through Inverse Distance Weighting Interpolation. The study's findings emphasize the decreasing rate of SPEI in all climatic zones except the south-eastern zone, which is > 0.0065, >0.007, >0.0128, and >-0.0001 for SPEI 09 12, 24, and 06, respectively. Furthermore, the northern region has the highest value in SPEI in some periods with the highest decrease rate in SPEI 06, SPEI 09, SPEI 12 demonstrates greater drought responsibilities. The Barisal (.>-3.75), Rangpur (>-3.65), Dinajpur ((>-3.00), Rajshahi (>-4.35), Bogra (>-4.50), Ishurdi (>-3.45), Faridpur (>-4.30) and Madaripur (>-2.10) found under extreme drought-prone climatic zone. Thus, the study recommends taking initiatives and management for water resources to adopt mitigation planning for drought-prone climatic zones.

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“…Herein, Ho expresses the absence of the trend and Ha evoques the existence of a trend in the data series. Relevant information about this method is detailed in several previous studies ( Ongoma and Chen 2017;Akinsanola et al 2017;Asfaw et al 2018;Ayugi and Tan 2018;Byakatonda et al 2018;Kabanda 2018;Mumo et al 2019).…”

Section: Mann-kendall and Modified Mann Kendall Trends Testmentioning

confidence: 99%

Assessment of Drought Event, its Trend and Teleconnected Factors Over Burundi, Central East Africa

Nkunzimana¹,

Wang²,

Abdallah³

et al. 2021

Preprint

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This study assessed the drought events across Burundi for 37 years ranging from 1981 to 2017. The drought assessment was conducted using the Standardized Precipitation Index (SPI) at 1, 3, 6 and 12-month time scales. The Mann Kendall and Modified Mann Kendall trend tests and Sen’s slope statistic tests were used to analyse the spatiotemporal drought trend. The overall analysis of SPI-3, SPI-6 and SPI-12 outputs revealed that the Northern part of Burundi was the most threatened by dry events, and more than 80% of the extremely and severely dry events occurred within the period 1993–2000. The drought magnitude varied highly in the short rains season (SOND) than during the long rains season (MAM) specifically during the 1990s decade. The cumulative frequency of extremely dry events was very high in the North with 5.2%, 6.1% and 7.4 % at 3, 6 and 12-month time scales respectively. Likewise, the northern part experienced both short, medium and long dry periods, thus 88 consecutive dry months within only 8 years. The North and East regions exhibited a positive increasing trend over annual and seasonal time scales at both 3, 6, and 12 months of SPI analysis while the mountainous region and the South experienced a significant decreasing trend. The first abrupt point issued by forward and backward sequential statistics occurred in 1990, the year corresponding to the beginning of the driest period. Dry years are associated with circulation anomalies over the Indian Ocean and La Nina events.

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Long-Term Rainfall Trends over the Tanzania Coast

Cited by 16 publications

References 21 publications

Inter-annual variability of March to May rainfall over Tanzania and its association with atmospheric circulation anomalies

Inter-annual variability of March to May rainfall over Tanzania and its association with atmospheric circulation anomalies

Spatiotemporal evaluation of drought trend during 1979–2019 in seven climatic zones of Bangladesh

Assessment of Drought Event, its Trend and Teleconnected Factors Over Burundi, Central East Africa

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