Assessment of Merged Satellite Precipitation Datasets in Monitoring Meteorological Drought over Pakistan

Rahman, Khalil Ur; Shang, Songhao; Zohaib, Muhammad

doi:10.3390/rs13091662

Cited by 23 publications

(12 citation statements)

References 97 publications

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“…However, it is worth mentioning that this study did not consider the entire hyper-arid region, and drought is propagated from UIB to LIB using PCA; thus, the drought severity is comparatively lower. The results from this study are consistent with previous studies, including Adnan et al (2017) and Rahman et al (2021Rahman et al ( ) that reported 1997Rahman et al ( -2003Rahman et al ( , 2007Rahman et al ( -2008Rahman et al ( , 2012Rahman et al ( -2013Rahman et al ( , and 2017Rahman et al ( -2018 being the major drought years. These studies also reported that drought is more severe in arid and hyper-arid regions compared to humid and sub-humid regions (MIB) of the Indus Basin.…”

Section: Evaluation Of Drought In Representative Catchments Of the In...supporting

confidence: 92%

Catchment scale assessment of drought impact on environmental flow in the Indus Basin, Pakistan

Rahman

Shang

Balkhair

et al. 2023

Preprint

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Abstract. The impact of drought on environmental flow (EF) in 27 catchments of the Indus basin is studied from 1980–2018 using the Indicators of Hydrologic Alterations (IHA). The standardized Precipitation Evapotranspiration Index (SPEI) was systematically propagated from one catchment to another using principal component analysis (PCA). Threshold regression is used to determine the severity of drought (scenario-1) and month (scenario-2) that trigger low flows in the Indus Basin. The impact of drought on low EFs is quantified using the Range of variability analysis (RVA). The hydrological alteration factor (HAF) is calculated for each catchment in the Indus basin. The results show that most of the catchments are vulnerable to drought during the periods 1984–1986, 1991/1992, 1997 to 2003, 2007 to 2008, 2012 to 2013, and 2017 to 2018. On a higher time scale (SPEI-12), drought is more severe in Lower Indus Basin (LIB) than in the Upper Indus Basin (UIB). IHA pointed out that drought significantly impacts the distribution of environmental flow components, particularly extreme low flow (ELF) and low flow (LF). The magnitude and frequency of the ELF and LF events increase as drought severity increases. The threshold regression provided useful insights indicating that moderate drought can trigger ELF and LF at shorter time scales (SPEI-1 and SPEI-6) in the UIB and Middle Indus Basin (MIB). Conversely, severe and extreme drought triggers ELF and LF at higher time scales (SPEI-12) in LIB. The threshold regression also divided the entire study period (1980–2018) into different time zones (scenario-2), which is useful in quantifying the impact of drought on low EFs using the SPEI coefficient. Higher SPEI coefficients are observed in LIB, indicating high alterations in EF due to drought. HAF showed high alterations in EF in most of the catchments throughout the year except in August and September. The alterations are subject to several factors, including climate change, seasonality of the river flow, land use changes, topography, and anthropogenic activities. Overall, this study provided useful insights for analyzing the effects of drought on EF, especially during low flows.

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Section: Evaluation Of Drought In Representative Catchments Of the In...supporting

confidence: 92%

Catchment scale assessment of drought impact on environmental flow in the Indus Basin, Pakistan

Rahman

Shang

Balkhair

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The use of satellite based-SPI as a meteorological drought has been used widely in many regions and many climatic zones. Suliman et al in his study revealed a good consistency in SPI time series estimated using remotely sensed precipitation data and ground stations data, with the TRMM as the champion for monitoring droughts in different climatic zones of Iraq [ 59 ]. Not only a single source of satellite-based estimated rainfall, it is also possible to combine multi sources into merged satellite precipitation datasets [ 60 ].…”

Section: Discussionmentioning

confidence: 99%

“…Not only a single source of satellite-based estimated rainfall, it is also possible to combine multi sources into merged satellite precipitation datasets [ 60 ]. A study by Rahman et al (2021) found significantly improved performance of merged satellite d in monitoring the meteorological drought [ 59 ].…”

Section: Discussionmentioning

confidence: 99%

Satellite-based meteorological drought indicator to support food security in Java Island

et al. 2022

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A meteorological drought refers to reduced rainfall conditions and is a great challenge to food security. Information of a meteorological drought in advance is important for taking actions in anticipation of its effects, but this can be difficult for areas with limited or sparse ground observation data available. In this study, a meteorological drought indicator was approached by applying the Standardized Precipitation Index (SPI) to satellite-based precipitation products from multiple sources. The SPI based meteorological drought analysis was then applied to Java Island, in particular to the largest rice-producing districts of Indonesia. A comparison with ground observation data showed that the satellite products accurately described meteorological drought events in Java both spatially and temporally. Meteorological droughts of the eight largest rice-producing districts in Java were modulated by the natural variations in El Niño and a positive-phase Indian Ocean Dipole (IOD). The drought severity was found to be dependent on the intensity of El Niño and a positive-phase IOD that occurs simultaneously, while the duration seems to be modulated more by the positive-phase IOD. The results demonstrate the potential applicability of satellite-based precipitation monitoring to predicting meteorological drought conditions several months in advance and preparing for their effects.

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“…Some research [9][10][11][12][13][14] indicates the temporal versatility of the index is useful in determining the beginning and end of dry events, it allows the analysis of the impacts of droughts at different time scales, simply compared to other indices. Several authors have analyzed the advantages and disadvantages of SPI using different distributions, there are several recommended distributions for calculating the SPI.…”

Section: Introductionmentioning

confidence: 99%

Adjustment of the Standardized Precipitation Index (SPI) for the Evaluation of Drought in the Arroyo Pechelín Basin, Colombia, under Zero Monthly Precipitation Conditions

2022

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The evaluation of the meteorological drought is fundamental for the management of the water resource. One of the most used indices to evaluate the drought is the standardized precipitation index (SPI) due to its practicality and evaluation in a variety of time scales, however, this uses precipitation as the only variable, depending on the deviations in the precipitation values. This is important when evaluating the SPI, because in some ecosystems close to the equatorial zone, there are very warm periods with low rainfall, in which a large proportion of the data collected by the meteorological stations corresponds to zero. In this research, the SPI was calculated in the Pechelín basin located in Colombia, in which there is zero precipitation in a large proportion of the data, registering zero precipitation in the month of January and February in 67% and 70% respectively. As a result, the SPI values increased to “wet” ranges, only when the amount of data with zero precipitation exceeded half of the total data; this means that the SPI determines wrong values when it is calculated with zero-precipitation data in large proportions. Based on this finding, this study aims to modify the index by typing the distribution (using a correction factor K), finally correcting the SPI values, this correction was called SPI-C. The results indicate that the SPI-C improved the identification of drought, obtaining corresponding values that better represent the high frequency of zero precipitation existing in the study area.

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Assessment of Merged Satellite Precipitation Datasets in Monitoring Meteorological Drought over Pakistan

Cited by 23 publications

References 97 publications

Catchment scale assessment of drought impact on environmental flow in the Indus Basin, Pakistan

Catchment scale assessment of drought impact on environmental flow in the Indus Basin, Pakistan

Satellite-based meteorological drought indicator to support food security in Java Island

Adjustment of the Standardized Precipitation Index (SPI) for the Evaluation of Drought in the Arroyo Pechelín Basin, Colombia, under Zero Monthly Precipitation Conditions

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