Journal ArticleDOI
Changing characteristics of meteorological droughts in Nigeria during 1901–2010
TLDR
In this paper, the authors assess the changes in the severity and return periods of meteorological droughts during major cropping seasons of Nigeria for the period 1901-2010 in order to understand the impacts of climate variation on seasonal Droughts.About:
This article is published in Atmospheric Research.The article was published on 2019-07-15. It has received 82 citations till now. The article focuses on the topics: Return period.read more
Citations
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Precipitation projection using a CMIP5 GCM ensemble model: a regional investigation of Syria
Rajab Homsi,Mohammed Sanusi Shiru,Shamsuddin Shahid,Tarmizi Ismail,Sobri Harun,Nadhir Al-Ansari,Kwok Wing Chau,Zaher Mundher Yaseen +7 more
TL;DR: In this paper, the possible changes in precipitation of Syrian due to climate change are projected in the study. The symmetrical uncertainty (SU) and multi-criteria decision-analysis (MCDA) methods are used to estimate the precipitation of Syria.
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Seasonal Drought Pattern Changes Due to Climate Variability: Case Study in Afghanistan
Ishanch Qutbudin,Mohammed Sanusi Shiru,Ahmad Sharafati,Kamal Ahmed,Nadhir Al-Ansari,Zaher Mundher Yaseen,Shamsuddin Shahid,Xiaojun Wang +7 more
TL;DR: In this paper, the changes in meteorological drought severity and drought return periods during cropping seasons in Afghanistan for the period of 1901 to 2010 were assessed using the standardized precipitation evapotranspiration index (SPEI).
Journal ArticleDOI
Changes in reference evapotranspiration and its driving factors in peninsular Malaysia
TL;DR: In this article, the modified version of Mann-Kendall (MK) test was used for the assessment of unidirectional changes in ETo and the driving meteorological variables.
Journal ArticleDOI
A MCDM-based framework for selection of general circulation models and projection of spatio-temporal rainfall changes: A case study of Nigeria
TL;DR: In this article, a multi-criteria decision-making approach was used for the selection of GCMs for Nigeria based on their ability to replicate historical rainfall estimated using three entropy-based feature selection methods namely, Entropy Gain (EG), Gain Ratio (GR), and Symmetrical Uncertainty (SU).
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Projection of meteorological droughts in Nigeria during growing seasons under climate change scenarios
Mohammed Sanusi Shiru,Mohammed Sanusi Shiru,Shamsuddin Shahid,Ashraf Dewan,Eun-Sung Chung,Noraliani Alias,Kamal Ahmed,Quazi K. Hassan +7 more
TL;DR: The analysis revealed that MRI-CGCM3, HadGEM2-ES, CSIRO-Mk3-6-0, and CESM1-CAM5 are the most appropriate GCMs for projecting rainfall and temperature, and the linear scaling (SCL) is the best method for correcting bias.
References
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Journal ArticleDOI
Estimates of the Regression Coefficient Based on Kendall's Tau
TL;DR: In this article, a simple and robust estimator of regression coefficient β based on Kendall's rank correlation tau is studied, where the point estimator is the median of the set of slopes (Yj - Yi )/(tj-ti ) joining pairs of points with ti ≠ ti.
The relationship of drought frequency and duration to time scales
TL;DR: The definition of drought has continually been a stumbling block for drought monitoring and analysis as mentioned in this paper, mainly related to the time period over which deficits accumulate and to the connection of the deficit in precipitation to deficits in usable water sources and the impacts that ensue.
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Updated high‐resolution grids of monthly climatic observations – the CRU TS3.10 Dataset
TL;DR: In this paper, an updated gridded climate dataset (referred to as CRU TS3.10) from monthly observations at meteorological stations across the world's land areas is presented.
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A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index
TL;DR: In this article, a new climatic drought index, the standardized precipitation evapotranspiration index (SPEI), is proposed, which combines multiscalar character with the capacity to include the effects of temperature variability on drought assessment.