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Article

Evaluation of Gridded Precipitation Datasets over Arid Regions of Pakistan

1
School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia
2
Faculty of Water Resource Management, Lasbela University of Agriculture, Water and Marine Sciences, Balochistan 90150, Pakistan
3
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 2100292, China
4
Research Center for Climate Change, Ministry of Water Resources, Nanjing 210029, China
*
Author to whom correspondence should be addressed.
Water 2019, 11(2), 210; https://doi.org/10.3390/w11020210
Received: 17 December 2018 / Revised: 13 January 2019 / Accepted: 17 January 2019 / Published: 26 January 2019
(This article belongs to the Special Issue Hydroclimatic Variability at Local, Regional, and Global Scales)
The rough topography, harsh climate, and sparse monitoring stations have limited hydro-climatological studies in arid regions of Pakistan. Gauge-based gridded precipitation datasets provide an opportunity to assess the climate where stations are sparsely located. Though, the reliability of these datasets heavily depends on their ability to replicate the observed temporal variability and distribution patterns. Conventional correlation or error analyses are often not enough to justify the variability and distribution of precipitation. In the present study, mean bias error, mean absolute error, modified index of agreement, and Anderson–Darling test have been used to evaluate the performance of four widely used gauge-based gridded precipitation data products, namely, Global Precipitation Climatology Centre (GPCC), Climatic Research Unit (CRU); Asian Precipitation Highly Resolved Observational Data Integration towards Evaluation (APHRODITE), Center for Climatic Research—University of Delaware (UDel) at stations located in semi-arid, arid, and hyper-arid regions in the Balochistan province of Pakistan. The result revealed that the performance of different products varies with climate. However, GPCC precipitation data was found to perform much better in all climatic regions in terms of most of the statistical assessments conducted. As the temporal variability and distribution of precipitation are very important in many hydrological and climatic applications, it can be expected that the methods used in this study can be useful for the better assessment of gauge-based data for various applications. View Full-Text
Keywords: gridded precipitation data; statistical assessments; arid region; Pakistan gridded precipitation data; statistical assessments; arid region; Pakistan
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MDPI and ACS Style

Ahmed, K.; Shahid, S.; Wang, X.; Nawaz, N.; Khan, N. Evaluation of Gridded Precipitation Datasets over Arid Regions of Pakistan. Water 2019, 11, 210. https://doi.org/10.3390/w11020210

AMA Style

Ahmed K, Shahid S, Wang X, Nawaz N, Khan N. Evaluation of Gridded Precipitation Datasets over Arid Regions of Pakistan. Water. 2019; 11(2):210. https://doi.org/10.3390/w11020210

Chicago/Turabian Style

Ahmed, Kamal, Shamsuddin Shahid, Xiaojun Wang, Nadeem Nawaz, and Najeebullah Khan. 2019. "Evaluation of Gridded Precipitation Datasets over Arid Regions of Pakistan" Water 11, no. 2: 210. https://doi.org/10.3390/w11020210

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