Rainfall distribution function for Libya and rainfall prediction

Şen, Zekâi̇; Eljadid, Ali Geath Mahmoud

doi:10.1080/02626669909492266

Cited by 55 publications

(13 citation statements)

References 14 publications

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“…The difference between the coldest and hottest mean monthly temperatures ranges from ~10-18°C, varying across the region with altitude (Ageena et al, 2014). The wettest months occur between December and February, when monthly total precipitation can exceed 100 mm (Şen and Eljadid, 1999;. Rainfall events between May and September are extremely rare.…”

Section: Study Area: the Gebel Akhdarmentioning

confidence: 99%

Increased climate seasonality during the late glacial in the Gebel Akhdar, Libya

Reade

O’Connell

Barker

et al. 2018

Quaternary Science Reviews

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Oxygen isotope analysis (δ 18 O) of caprine and bovine tooth enamel carbonates from the Haua Fteah cave (Gebel Akhdar massif, northeast Libya) reveals significant differences in palaeoseasonality during the last c. 70 ka. Data indicate different phases of human occupation of the region occurred under notably different climatic conditions. During the last glacial period, prior to the Last Glacial Maximum, a gradual increase in climate aridity occurred. This was followed in the late glacial (c. 16.6-14.7 ka) by considerably more arid conditions and much greater climate seasonality, which was likely produced by changing winter precipitation amounts and a strengthening of arid summer air masses. The high seasonality in the late glacial coincides with a period when human activity at the Haua Fteah greatly intensified. Significant changes in subsistence strategies and the seasonal exploitation of food resources also occurred at this time. The results presented here suggest that changes in the seasonal climate may have affected the seasonal supply of floral and faunal resources available to local human populations at the time, which resulted in changing subsistence practices.

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Section: Study Area: the Gebel Akhdarmentioning

confidence: 99%

Increased climate seasonality during the late glacial in the Gebel Akhdar, Libya

Reade

O’Connell

Barker

et al. 2018

Quaternary Science Reviews

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“…Now, taking the specification of an FSO transceiver that is specified for 2km, and another one specified for 0.8km distance with the following data and assumptions (worst case assumptions) [8]: Using all the data recorded in the (LNMC) of the rainfall rate through about 60 years to find the resulted ranges (in km) and wither or not Rain affects the FSO performance in Libya [2] and [9]. The seasonal percentage of precipitations of rainfall in the above mentioned 60 years in fourteen Libyan cities are listed in Table I.…”

Section: Fso Equation and The Empirical Rain Attenuation Modelmentioning

confidence: 99%

“…In Libya, the weather throughout the years has not been snowy or foggy except for some regions in the mountains. Here, in this paper a modified rain equation along with the data measured and recorded in the Libyan National Meteorological Center (LNMC) are used in the analysis and simulation of the FSO link and only the rain effect is considered [2].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Rain Effects on Free Space Optics Based on Data Measured in the Libyan Climate

Twati¹

2014

IJIEE

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In this paper, the effect of rain on Free Space Optical link (FSO) performance based on data measured and recorded in the Libyan National Meteorological Center (LNMC) is investigated. A modified FSO link equation based on CARBONNEAU empirical model is used to provide a direct relation between the rain fall rate and the maximum allowable FSO link length. The effect of the heaviest case of rainfall occurred in Libya for the FSO is simulated, and the maximum allowable link length is obtained. Index Terms-Free space optics, optical link measurements, optical link analysis, optical link rain effects. Mahmud M. Badi was born in Tripoli, Libya, 1990. He studied telecommunications engineering (B.Sc.) University of Tripoli and graduated in 2013. Currently, he is working for Schlumberger (Oilfield Services Company) as a field engineer. Engineer Badi, Mahmud is interested in Wireless Telecommunications. Adam F. Adam was born in 1990. He graduated from the University of Tripoli, Faculty of Engineering Department of Electrical Engineering with excellent grade in 2013 with (B.Sc.). He worked after graduation as a trainee with Ericsson Company for four months and then got a chance to be teacher assistance at the University of Tripoli. Engineer Adam, F. Adam became a teacher assistance at the university in the fall of 2013. free space propagation of mid infrared quantum cascade laser

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“…Olofintoye et al [12] showed that for peak daily rainfall in Nigeria, 50% of stations follow LP3 distributions and 40% follow Pearson type 3 (P3) distributions. Sen et al [13] found that the gamma probability distribution provided the best fit to monthly maxima rainfall in arid regions in Libya. Arora & Singh [14] found that the LP3 distribution recommended by the U.S. Water Resources Council (USWRC) in 1967 was the best method of flood frequency analysis in the United States.…”

Section: Introductionmentioning

confidence: 99%

Best-Fit Probability Distributions and Return Periods for Maximum Monthly Rainfall in Bangladesh

Alam

Emura

Farnham

et al. 2018

Climate

131

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The study of frequency analysis is important to find the most suitable model that could anticipate extreme events of certain natural phenomena e.g., rainfall, floods, etc. The goal of this study is to determine the best-fit probability distributions in the case of maximum monthly rainfall using 30 years of data (1984-2013) from 35 locations in Bangladesh by using different statistical analysis and distribution types. Commonly used frequency distributions were applied. Parameters of these distributions were estimated by the method of moments and L-moments estimators. Three goodness-of-fit test statistics were applied. The best-fit result of each station was taken as the distribution with the lowest sum of the rank scores from each of the three test statistics. Generalized Extreme Value, Pearson type 3 and Log-Pearson type 3 distributions showed the largest number of best-fit results. Among the best score results, Generalized Extreme Value yielded the best-fit for 36% of the stations and Pearson type 3 and Log-Pearson type 3 each yielded the best-fit for 26% of the stations. The more practical result of this paper was that the 10-year, 25-year, 50-year and 100-year return periods of maximum monthly rainfall were calculated for all locations. The result of this study can be used to develop more accurate models of flooding risk and damage.

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Rainfall distribution function for Libya and rainfall prediction

Cited by 55 publications

References 14 publications

Increased climate seasonality during the late glacial in the Gebel Akhdar, Libya

Increased climate seasonality during the late glacial in the Gebel Akhdar, Libya

Analysis of Rain Effects on Free Space Optics Based on Data Measured in the Libyan Climate

Best-Fit Probability Distributions and Return Periods for Maximum Monthly Rainfall in Bangladesh

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