Assessment of drought across central Sudan using UNEP dryness ratio

Elagib, Nadir Ahmed

doi:10.2166/nh.2009.016

Cited by 25 publications

(15 citation statements)

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“…Whenever a significant trend existed, the linear regression was applied to find the trend rate. For the same data period, monthly and annual reference evapotranspiration rates were estimated using the temperature-based method given by Hargreaves and Samani (1985), which was found to approximate reliably the values of the physically-based method of FAO Penman-Monteith (Allen et al, 1998) in the arid and semi-arid parts of Sudan (Elagib, 2009). The aridity index designed by UNEP (1992) was calculated as the ratio of rainfall to reference evapotranspiration.…”

Section: Study Area Data and Methodsmentioning

confidence: 99%

Implications of climate, land-use and land-cover changes for pastoralism in eastern Sudan

Sulieman

Elagib

2012

Journal of Arid Environments

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Section: Study Area Data and Methodsmentioning

confidence: 99%

Implications of climate, land-use and land-cover changes for pastoralism in eastern Sudan

Sulieman

Elagib

2012

Journal of Arid Environments

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“…A distinct significant positive trend (0.124°C decade -1 ) is shown for El Gedaref in the east. This is an area that has not been affected much by drought during the period of study compared to the rest of the central Sudan (Elagib 2009). In contrast, the MINs It can be seen from Table 2 that the relationship between the inter-annual variations of temperature and sunshine is mostly positive, almost non-existent for MIN and MEAN, and spatially weaker for MAX than for DTR.…”

Section: Dry Seasonmentioning

confidence: 99%

Trends in Intra- and Inter-Annual Temperature Variabilities Across Sudan

Elagib

2010

AMBIO

Self Cite

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Four mean temperature variables, namely maximum (MAX), minimum (MIN), mean (MEAN) and diurnal temperature range (DTR), were considered for 14 selected observational stations throughout Sudan. The objectives were to investigate the seasonal and annual regimes, the seasonal and annual trends, the intra-annual variability (IAV) by the coefficient of variation (CV), and the interrelationships between the temperature variables and percent of possible sunshine. A mounting evidence of daytime and nighttime warming since the 1940s until 2005 is presented. The exception is the dry season which is dominated by daytime cooling attributable to the damping effect of dust haze/storms. Apparently, the progressive drought across inland locations has raised the MAXs, and to a lesser extent the MINs, of the wet season over those for the hot season. Accordingly, maximum rates of 0.451 and 0.336°C decade -1 were found for the nighttime and daytime temperatures, respectively. The extreme eastern and western locations have been frequently dominated by the warmest trend rates obtained nationwide. The prevalence of significant decreases (increases) of DTR is more apparent in the dry, hot and annual series (wet series). Depending on the temperature variable under consideration, many stations possessed significant trends toward either increased or decreased variability of the within-year monthly values, i.e. IAV. The correlation between the time series of annual CV and extreme values for each of the four temperature variables shows generally that warmer climate in Sudan is associated with higher intra-annual temperature variability and vise versa, i.e. the CV is directly correlated with the highest value within the year, but inversely correlated with the lowest one. The findings of this investigation also indicate that the DTR is directly related to percent of possible sunshine, but the relationship of the latter parameter is not so clear with MAX, MIN and MEAN.

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“…The study area is characterized by a semi-arid climate (Elagib, 2009) and extensive vegetation cover. Agriculture and grazing are the main activities of the local people.…”

Section: Study Area and Er Roseires Dammentioning

confidence: 99%