Daily rainfall data to identify trends in rainfall amount and rainfall-induced agricultural events in the Nuba Mountains of Sudan

Goenster, Sven; Wiehle, Martin; Gebauer, Jens; Ali, Ahmed; Stern, R. D.; Buerkert, Andreas

doi:10.1016/j.jaridenv.2015.06.003

Cited by 12 publications

(13 citation statements)

References 48 publications

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“…This class generates the greatest losses to agriculture, as few crops can withstand a sequence of 20 days or more without rain (GOENSTER et al, 2015). Fernandes (2015) found that ten days without rain in an Argisol of the semi-arid region significantly reduced development in the cowpea (Vigna unguiculata (L.) Walp.…”

Section: Intra-annual Uncertaintymentioning

confidence: 99%

“…This limitation becomes more obvious in semi-arid areas located in the tropical zone where high rates of evapotranspiration are recorded as a result of the total amount of solar energy available (ANDRADE et al, 2010), with a consequent reduction in agricultural production (BARRON et al, 2003;GOENSTER et al, 2015). The semi-arid area of northeastern Brazil, inserted in the tropical region, has an agricultural production which is intrinsically dependent on the rainfall of the region, but this regime is fairly irregular, both on an inter-annual and intra-annual scale.…”

Section: Introductionmentioning

confidence: 99%

“…It is possible in a single month for the rainfall depth to exceed 70% of the regional average (ANDRADE et al, 2010). Despite water being the limiting factor in agricultural production, the distribution of rainfall events over time is what most affects crop development and agricultural production (BARRON et al 2003;GOENSTER et al, 2015). This variability, whether on an annual or monthly scale, is defined by the different weather systems which are related to sea surface temperatures (SST) in the Pacific or tropical Atlantic (HASTENRATH, 2012;ALVES et al, 2006;SUN et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

“…Another characteristic of the dry regions of the globe is the occurrence of consecutive dry days (CDD) during the rainy season; this process increases the vulnerability of agricultural production (GOENSTER et al, 2015;DIXIT;TELLERIA, 2015). Such a phenomenon can result in the total or partial loss of a harvest (MENEZES et al, 2010;ALVES et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

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Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of Ceará

Andrade

Sena

Silva

et al. 2016

AGRO@MBIENTE ON-LINE

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Abstract:The rural population of a tropical semi-arid region such as the northeast of Brazil is directly dependent on rainfall for agricultural production, pasture for livestock, and the storage of drinking water for human consumption. The region is characterised by the frequent occurrence of dry years and consecutive dry days (CDD) during the rainy season, demonstrating the vulnerability of rainfed agriculture. The aim of this study therefore, was to identify homogeneous regions of the State of Ceará where there is greater or lesser uncertainty of the rainfall regime. Accordingly, the occurrence of dry and very dry years were investigated as uncertainties between years, together with the occurrence of two classes of CDD (10-20 and 21-30 days) during the rainy season. To define similar regions as to the uncertainty of the rainfall regime, the technique of Hierarchical Cluster Analysis (HCA) was used. The study considered time series of least 30 years, from 77 rain gauge stations around the state of Ceará. The use of HCA resulted in the formation of seven homogenous groups in both of the phenomena being investigated. Municipalities in the Central Backlands, the Inhamuns Backlands and the Jaguaribana Region displayed a higher frequency of both inter-annual (dry years) and intra-annual (CDD) uncertainty, demonstrating the greater vulnerability of rainfed agriculture. The occurrence of a CDD event is not dependent on the total annual rainfall, as several stations with an average rainfall higher than that of the state showed potential for the occurrence of CDD. The number of CDD events recorded in the 11-20 day class was higher than in the 21-30 day class.

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Section: Intra-annual Uncertaintymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of Ceará

Andrade

Sena

Silva

et al. 2016

AGRO@MBIENTE ON-LINE

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“…According to [24] and [25] further point out that although water is the limiting factor in agricultural production, the distribution of rainfall events over time…”

Section: Resultsmentioning

confidence: 99%

Productivity and Water-Use Efficiency of Sorghum in Rainfed Regime in the Semi-Arid Region of Brazil

Feitosa¹,

Araújo²,

Oliveira³

et al. 2017

AJPS

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Sorghum has become ever more prominent on the global energy scene, with studies in the area becoming extremely important. Agricultural production in the semi-arid region of the Brazilian Northeast is intrinsically dependent on rainfall in the region. However, on both inter-and intra-annual scales, the rainfall regime is quite irregular. The aim of this study was to evaluate the productivity of sorghum grown under a rainfed regime, and the water-use efficiency of crops in the semi-arid region of the northeast of Brazil. The work was carried out in the city of Tabuleiro do Norte in the semi-arid region of the State of Ceará. Mean productivity of the sorghum was 919.42 kg•ha •kg −1 was seen in lot 02. It was found that the low productivity of sorghum in a rainfed regime shows that the lack of success in production systems in semi-arid regions is not due to the total amount of rainfall, but rather the spatial and temporal distribution of the rains, as well as the occurrence of hot, dry spells. Furthermore, it can be seen that the best ratio of grain production to water demand shows a strong correlation with the distribution of water throughout the cycle, and not only with the total volume.

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Long-term spatial-temporal trends and variability of rainfall over Eastern and Southern Africa

Muthoni

Odongo

Ochieng

et al. 2018

Theor Appl Climatol

116

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This study investigates the spatial-temporal trends and variability of rainfall within East and South Africa (ESA) region. The newly available Climate Hazards group Infrared Precipitation with Stations (CHIRPS-v2) gridded data spanning 37 years (1981 to 2017) was validated against gauge observations (N = 4243) and utilised to map zones experiencing significant monotonic rainfall trends. Standardised annual rainfall anomalies revealed the spatial-temporal distribution of below and above normal rains that are associated with droughts and floods respectively. Results showed that CHIRPS-v2 data had a satisfactory skill to estimate monthly rainfall with Kling-Gupta efficiency (KGE = 0.68 and a high temporal agreement (r = 0.73) while also preserving total amount (β = 0.99) and variability (γ = 0.8). Two contiguous zones with significant increase in annual rainfall (3-15 mm year −1) occurred in Southwest Zambia and in Northern Lake Victoria Basin between Kenya and Uganda. The most significant decrease in annual rainfall (− 20 mm year −1) was recorded at Mount Kilimanjaro in Tanzania. Other significant decreases in annual rainfall ranging between − 4 and − 10 mm year −1 were observed in Southwest Tanzania, Central-South Kenya, Central Uganda and Western Rwanda. CHIRPS-v2 rainfall product provides reliable high spatial resolution information on amount of rainfall that can complement sparse rain gauge network in rain-fed agricultural systems in ESA region. The observed spatial-temporal trends and variability in rainfall are important basis for guiding targeting of appropriate adaptive measures across multiple sectors.

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Daily rainfall data to identify trends in rainfall amount and rainfall-induced agricultural events in the Nuba Mountains of Sudan

Cited by 12 publications

References 48 publications

Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of Ceará

Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of Ceará

Productivity and Water-Use Efficiency of Sorghum in Rainfed Regime in the Semi-Arid Region of Brazil

Long-term spatial-temporal trends and variability of rainfall over Eastern and Southern Africa

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