The Use of TRMM 3B42 Product for Drought Monitoring in Mexico

Jesús, Aurea De; Breña-Naranjo, José Agustín; Acuña, Adrián Pedrozo; Yamanaka, Víctor Hugo Alcocer

doi:10.3390/w8080325

Cited by 45 publications

(29 citation statements)

References 44 publications

(49 reference statements)

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“…The time series of spatially distributed SPI values can be applied to evaluate the land fraction for regions under drought conditions [15]. Figure 8 displays the temporal variability of area percentage affected by moderate drought (areas in yellow), severe drought (areas in red), and extreme drought (areas in dark red) for different time scales (1-, 3-, 6-, and 12-month).…”

Section: Temporal Analysismentioning

confidence: 99%

Meteorological Drought Analysis in the Lower Mekong Basin Using Satellite-Based Long-Term CHIRPS Product

et al. 2017

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Lower Mekong Basin (LMB) experiences a recurrent drought phenomenon. However, few studies have focused on drought monitoring in this region due to lack of ground observations. The newly released Climate Hazards Group Infrared Precipitation with Station data (CHIRPS) with a long-term record and high resolution has a great potential for drought monitoring. Based on the assessment of CHIRPS for capturing precipitation and monitoring drought, this study aims to evaluate the drought condition in LMB by using satellite-based CHIRPS from January 1981 to July 2016. The Standardized Precipitation Index (SPI) at various time scales (1-12-month) is computed to identify and describe drought events. Results suggest that CHIRPS can properly capture the drought characteristics at various time scales with the best performance at three-month time scale. Based on high-resolution long-term CHIRPS, it is found that LMB experienced four severe droughts during the last three decades with the longest one in 1991-1994 for 38 months and the driest one in 2015-2016 with drought affected area up to 75.6%. Droughts tend to occur over the north and south part of LMB with higher frequency, and Mekong Delta seems to experience more long-term and extreme drought events. Severe droughts have significant impacts on vegetation condition.

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Section: Temporal Analysismentioning

confidence: 99%

Meteorological Drought Analysis in the Lower Mekong Basin Using Satellite-Based Long-Term CHIRPS Product

et al. 2017

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“…Basically, shorter SPI time-scales are poor in describing drought occurrence clearly, but can accurately capture the cyclical behavior of the precipitation regime. By contrast, larger time-scales of SPI values (e.g., SPI-12) are more useful in separating the persistent dry and wet periods [23], indicating that the TMPA-3B43 can potentially be used for shorter drought analysis in this region.…”

Section: Spi Validationmentioning

confidence: 99%

Evaluation of TRMM Product for Monitoring Drought in the Kelantan River Basin, Malaysia

Tan

Chua

et al. 2017

Water

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Assessment of satellite precipitation products' capability for monitoring drought is relatively new in tropical regions. The purpose of this paper is to evaluate the reliability of the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) 3B43 product in estimating the standardized precipitation index (SPI) in the Kelantan River Basin, Malaysia from 1998 to 2014, by comparing it with data from 42 rain gauges. Overall, the TMPA-3B43 performed well in the monthly precipitation estimation, but performed moderately in the seasonal scale. Better performance was found in the northeast monsoon (wet season) than in the southwest monsoon (dry season). The product is more reliable in the northern and north-eastern regions (coastal zone) compared to the central, southern and south-eastern regions (mountainous area). For drought assessment, the correlations between the TMPA-3B43 and ground observations are moderate at various time-scales (one to twelve months), with better performance at shorter time-scales. The TMPA-3B43 shows similar temporal drought behavior by capturing most of the drought events at various time-scales, except for the 2008-2009 drought. These findings show that the TMPA-3B43 is not suitable to be used directly for SPI estimation in this basin. More bias correction and algorithm improvement work are needed to improve the accuracy of the TMPA-3B43 in drought monitoring.

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“…[34],) may help to infer drought conditions at large scales, they still face high uncertainties [33]. For example, altitude differences in mountainous regions and the random property of precipitation makes it very difficult to predict the correct values near in the adjacent areas.…”

Section: Drought Results By Using Trmm Datamentioning

confidence: 99%

“…However, the SPI does not account for factors that influence evapotranspiration (e.g., soil types and temperature) [33]. Although it is plausible to consider additional variables in drought monitoring, the TRMM data were used to monitor the drought, and there is no gauged temperature for the TRMM coverage region.…”

Section: Methodsmentioning

confidence: 99%

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SPI-Based Analyses of Drought Changes over the Past 60 Years in China’s Major Crop-Growing Areas

et al. 2018

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This study analyzes the changes in drought patterns in China's major crop-growing areas over the past 60 years. The analysis was done using both weather station data and Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) rainfall data to calculate the Standardized Precipitation Index (SPI). The results showed that the occurrences of extreme drought were the most serious in recent years in the Southwest China and Sichuan crop-growing areas. The Yangtze River (MLRY) and South China crop-growing areas experienced extreme droughts during 1960-1980, whereas the Northeast China and Huang-Huai-Hai crop-growing areas experienced extreme droughts around 2003. The analysis showed that the SPIs calculated by TRMM data at time scales of one, three, and six months were reliable for monitoring drought in the study regions, but for 12 months, the SPIs calculated by gauge and TRMM data showed less consistency. The analysis of the spatial distribution of droughts over the past 15 years using TMI rainfall data revealed that more than 60% of the area experienced extreme drought in 2011 over the MLRY region and in 1998 over the Huang-Huai-Hai region. The frequency of different intensity droughts presented significant spatial heterogeneity in each crop-growing region.

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The Use of TRMM 3B42 Product for Drought Monitoring in Mexico

Cited by 45 publications

References 44 publications

Meteorological Drought Analysis in the Lower Mekong Basin Using Satellite-Based Long-Term CHIRPS Product

Meteorological Drought Analysis in the Lower Mekong Basin Using Satellite-Based Long-Term CHIRPS Product

Evaluation of TRMM Product for Monitoring Drought in the Kelantan River Basin, Malaysia

SPI-Based Analyses of Drought Changes over the Past 60 Years in China’s Major Crop-Growing Areas

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