Application of CHIRPS dataset in the selection of rain-based indices for drought assessments in Johor River Basin, Malaysia

Sa’adi, Zulfaqar; Yusop, Zulkifli; Alias, Nurul Ezaila; Shiru, Mohammed Sanusi; Muhammad, Mohd Khairul Idlan; Ramli, Muhammad Wafiy Adli

doi:10.1016/j.scitotenv.2023.164471

Cited by 7 publications

(2 citation statements)

References 56 publications

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“…Climate Hazards Group InfraRed Precipitation with Station Data (CHIRPS) is a quasi-global precipitation dataset covering 30 years by the Center for Earth Resources Observation and Climate Disasters, USGS [32]. CHIRPS combines 0.25 • resolution satellite images and in situ station data to form a grid-based rainfall time series for trend analysis and seasonal drought monitoring [46][47][48][49][50][51]. The China Meteorological Forcing Dataset (CMFD) was produced by integrating the routine meteorological observation data of the China Meteorological Administration (CMA) using the Princeton reanalysis data, the GLDAS data, GEWEX-SRB radiometric data, and TRMM precipitation data as the background field [52].…”

Section: Precipitation Productsmentioning

confidence: 99%

Evaluation of Multi-Source Precipitation Products in the Hinterland of the Tibetan Plateau

Sun,

Liu,

Zhao

et al. 2024

Atmosphere

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High-resolution precipitation products have been crucial for hydrology, meteorology, and environmental ecosystems over the Tibetan Plateau (TP). However, these products are usually subject to systematic errors, which may vary with time and topographic conditions. The study evaluated the suitability of four satellite-derived products (GPM IMERG, GSMaP, CMORPH, and PERSIANN-CDR) and four fusion precipitation products (ERA5-Land, CHIRPS, CMFD, and TPHiPr) by comparing with 22 rain gauges at a daily scale from 1 January 2014 to 31 December 2018 over the hinterland of the TP. The main findings are as follows: (1) TPHiPr and CMFD are better than the satellite-derived products, while the performance of CHIRPS is worse; (2) among the satellite-derived products, the quality of GPM IMERG is the highest on different time scales, and PERSIANN-CDR is better in the months of June to October, while GSMaP and CMORPH have poor performance; (3) the eight precipitation products have weaker detection capability for heavy precipitation events, and the quality of each product decreases with the increase in the precipitation threshold, while the rate of descent of fusion precipitation products is slower than that of satellite-derived products. This study demonstrates the performance of eight precipitation products over the hinterland of the TP, which is expected to provide valuable information for hydrometeorology applications.

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Section: Precipitation Productsmentioning

confidence: 99%

Evaluation of Multi-Source Precipitation Products in the Hinterland of the Tibetan Plateau

Sun,

Liu,

Zhao

et al. 2024

Atmosphere

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“…This study discusses future meteorological droughts in China, using the SPEI index as the measure of drought and combining it with run theory to explore the future temporal and spatial characteristics of meteorological drought in China. However, there are many meteorological drought indexes, such as PA, SPI, and PDSI (Jian et al, 2020;Sa'adi et al, 2023), which poses the following question: Why was the SPEI used in this study instead of other indexes?…”

Section: Why Use the Spei To Explore Meteorological Drought?mentioning

confidence: 99%

Prediction and assessment of meteorological drought characteristics in China based on a future climate model

Huang,

Liu,

Jia

et al. 2023

Preprint

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Under the background of a warm and humid climate, predicting and evaluating the future pattern of wet and dry change characteristics in watersheds is of great research significance. Based on the Geophysical Fluid Dynamics Laboratory earth system coupling model and GFDL‒ESM2M climate model, which is highly applicable in China, the characteristics of standardized precipitation evapotranspiration index (SPEI) variations in China at annual and monthly scales was assessed based on downscaled climate data under four typical representative concentration pathway scenarios. The results are as follows: (1) In the future, the annual scale meteorological drought trend in China will become more "aridity", and the monthly scale dry and wet changes will be non-uniform. With the increase of carbon dioxide emission concentration, the proportion of regional aridity in China will be increased in the future. (2) The proportion of wetting area will decrease, and extreme weather events are more likely to occur. In the future, the drought duration in China will mainly be 1–4 months. (3) The return period of drought in large areas of the country will be 1–50 years, and the return period in some western regions even exceed 500 years.

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Spatio‐Temporal Variations and El Niño Modulation of Meteorological Droughts in Malaysia

Zakaria,

Tangang,

Salimun

et al. 2024

Intl Journal of Climatology

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Meteorological droughts in Malaysia have significantly impacted critical sectors such as agriculture, water resources, health, the environment, tourism and various socio‐economic sectors, affecting the population's livelihood and well‐being. This study analyses drought characteristics over a 39‐year period, from 1982 to 2021, using the Standardised Precipitation Index (SPI) derived from 5‐km resolution Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS). The droughts were assessed on 3‐, 6‐, 9‐ and 12‐month timescales to investigate spatio‐temporal variations in characteristics such as frequency, duration, peak, severity and intensity. The study also provides an in‐depth analysis of large‐scale drought modulation, particularly associated with the El Niño phenomenon and its teleconnection in the Maritime Continent. Depending on the location and timescale, the number of meteorological drought occurrences varied from 10 to 22 for the 3‐month timescale and 4 to 14 for the 12‐month timescale. Generally, as the timescale of a drought increases, the peak intensity decreases, while the duration and severity increase. Additionally, drought intensity decreases over longer timescales. These characteristics show significant spatial variations. Results indicate that meteorological droughts in Malaysia were almost entirely modulated by the El Niño phenomenon through its induced teleconnection over the Maritime Continent. Drought characteristics exhibit a strong seasonality linked to changes in the Walker circulation and the strengthening and weakening of anticyclonic circulations associated with Rossby waves induced by heating in the Pacific Ocean. Very strong El Niño events had the most significant influence on the droughts. The positive Indian Ocean Dipole (pIOD) strengthened the effects of El Niño but it itself had no significant influence on the droughts. In most regions, there were no significant trends in the characteristics of meteorological droughts. However, in northeast Peninsular Malaysia and some scattered areas along the west coast of the peninsula, significant trends are observed in peak, duration and severity.

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Application of CHIRPS dataset in the selection of rain-based indices for drought assessments in Johor River Basin, Malaysia

Cited by 7 publications

References 56 publications

Evaluation of Multi-Source Precipitation Products in the Hinterland of the Tibetan Plateau

Evaluation of Multi-Source Precipitation Products in the Hinterland of the Tibetan Plateau

Prediction and assessment of meteorological drought characteristics in China based on a future climate model

Spatio‐Temporal Variations and El Niño Modulation of Meteorological Droughts in Malaysia

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