Evaluation of Satellite Precipitation Products with Rain Gauge Data at Different Scales: Implications for Hydrological Applications

Guo, Ruifang; Liu, Yuanbo

doi:10.3390/w8070281

Cited by 50 publications

(30 citation statements)

References 43 publications

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“…They found that the correlation levels between rain gauges and TRMM during the wet season are lower, whereas in the dry season, they are a bit higher. As was found in a study carried in China, TRMM can be overestimated and underestimated in both the dry season and wet season, depending on the different rain rates [17].…”

Section: Introductionsupporting

confidence: 54%

“…The overestimation in the wet season and dry season in the inland locations may be attributed to the type of rainfall events that predominantly occur, which are longer term low to moderate intensity rainfall. TRMM can overestimate rain for light and moderate rain rates and underestimate for heavy rain rates, as reported by Guo [17]. Figure 6 shows the performance scores for detection metrics after bias adjustment.…”

Section: Seasonal Analysis Of Trmmmentioning

confidence: 58%

“…2018, 10, 388 3 of 24 TRMM under-detects and underestimated rainfall rates during high precipitation events, whereas it over detects and overestimated rainfall rates during light precipitation events [17,18]. Meanwhile, a study carried out in Qinghai Lake Basin, China, shows that TRMM exhibits a poor performance between May and September, which is the dry season [19].…”

Section: Introductionmentioning

confidence: 99%

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Satellite Rainfall (TRMM 3B42-V7) Performance Assessment and Adjustment over Pahang River Basin, Malaysia

2018

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Abstract:The Tropical Rainfall Measuring Mission (TRMM) was the first Earth Science mission dedicated to studying tropical and subtropical rainfall. Up until now, there is still limited knowledge on the accuracy of the version 7 research product TRMM 3B42-V7 despite having the advantage of a high temporal resolution and large spatial coverage over oceans and land. This is particularly the case in tropical regions in Asia. The objective of this study is therefore to analyze the performance of rainfall estimation from TRMM 3B42-V7 (henceforth TRMM) using rain gauge data in Malaysia, specifically from the Pahang river basin as a case study, and using a set of performance indicators/scores. The results suggest that the altitude of the region affects the performances of the scores. Root Mean Squared Error (RMSE) is lower mostly at a higher altitude and mid-altitude. The correlation coefficient (CC) generally shows a positive but weak relationship between the rain gauge measurements and TRMM (0 < CC < 0.4), while the Nash-Sutcliffe Efficiency (NSE) scores are low (NSE < 0.1). The Percent Bias (PBIAS) shows that TRMM tends to overestimate the rainfall measurement by 26.95% on average. The Probability of Detection (POD) and Threat Score (TS) demonstrate that more than half of the pixel-point pairs have values smaller than 0.7. However, the Probability of False Detection (POFD) and False Alarm Rate (FAR) show that most of the pixel-point gauges have values lower than 0.55. The seasonal analysis shows that TRMM overestimates during the wet season and underestimates during the dry season. The bias adjustment shows that Mean Bias Correction (MBC) improved the scores better than Double-Kernel Residual Smoothing (DS) and Residual Inverse Distance Weighting (RIDW). The large errors imply that TRMM may not be suitable for applications in environmental, water resources, and ecological studies without prior correction.

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Section: Introductionsupporting

confidence: 54%

Section: Seasonal Analysis Of Trmmmentioning

confidence: 58%

Section: Introductionmentioning

confidence: 99%

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Satellite Rainfall (TRMM 3B42-V7) Performance Assessment and Adjustment over Pahang River Basin, Malaysia

2018

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“…The precipitation distribution is primarily controlled by atmospheric water vapour flows from four monsoonal streams: (1) the southwesterly flow from the Bengal Bay, (2) the southerly flow from the South China Sea, (3) the southeasterly flow from the north western Pacific subtropical high, and (4) the northwesterly flow associated with mid-latitude westerlies (Tian et al, 2004;Zhang et al, 2011). In topography, surface elevation ranges from 32 to 2200 m (Figure 1(b)), which complicates precipitation distribution (Li et al, 2014;Guo and Liu, 2016).…”

Section: Study Area and Datamentioning

confidence: 99%

Spatio‐temporal pattern of meteorological droughts and its possible linkage with climate variability

Zhou

Liu

2017

Intl Journal of Climatology

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Spatial pattern of meteorological droughts is a critical element for investigating drought condition. Empirical orthogonal function (EOF) and rotated EOF (REOF) methods are widely used to discriminate dominant patterns. Previous works focused on case applications but left the associated physical meanings unexplored. This study employs the EOF, wavelet analysis, and stepwise regression methods to distinguish spatio‐temporal patterns of meteorological droughts with pattern interpretation. For this purpose, monthly precipitation data were used from 73 meteorological stations in the Poyang Lake basin of China for the period of 1960–2007. Standardized Precipitation Index (SPI) was applied to quantify meteorological droughts. Our results identified four leading EOF/REOF patterns at the basin scale. Seasonal SPI series showed more dominant periods than monthly SPI series, indicating periodic complexity of regional droughts. The dominant periods coincided with those of the EOF/REOF time coefficients. The four leading EOF/REOFs were significantly related to the dominant time scales of 2, 3, 6, 11, 16, and 17 years, except for the fifth EOF/REOF. Stepwise regression analysis further indicated that the four leading EOF/REOFs be likely the superposition of SPI variation from inter‐annual and inter‐decadal scales. The SPI series at different time scales (1–36 months) showed significant correlations with climate teleconnection modes, confirming the existence of identified spatio‐temporal pattern. The Niño3.4 and Southern Oscillation were the primary teleconnection modes that influenced the variability of meteorological droughts over the basin. The Pacific Decadal Oscillation and the North Atlantic Oscillation also contributed to the regional dry/wet alternation. The findings provide important implications for understanding spatial and temporal variation of regional droughts.

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“…However, on basin scale, there is a possibility of stochastic errors and bias in precipitation retrieval from the satellite-based precipitation products due to complex topography and related orographic lifting processes or inadequate sensitivity of the satellite sensors in snow-dominated regions. Despite the fact that the basin-wide performance evaluation of satellite-based precipitation products, particularly in snow-dominated regions, is necessary to the users and algorithm developers for understanding the uncertainties associated with the satellite-based precipitation retrieval algorithms, the precision of these products in such areas on basin-scale is often unreported in most of the existing evaluation studies [24]. Therefore, comprehensive evaluations of the satellite precipitation products are still crucial for better understanding of their performances in different topographic regions, spatio-temporal scales, and precipitation patterns.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Comparison of TRMM Multi-Satellite Precipitation Products With Reference to Rain Gauge Observations in Hunza River Basin, Karakoram Range, Northern Pakistan

et al. 2017

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Abstract:The performance evaluation of satellite-based precipitation products at local and regional scales is crucial for modification in satellite-based precipitation retrieval algorithms, as well as for the provision of guidance during the selection of substitute precipitation data. This study evaluated the performances of three Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) products (3B42V6, 3B42RT and 3B42V7) with a reference to rain gauge observations in the Hunza River basin, northern Pakistan. Multi-spatial (pixel and basin) and temporal (daily, monthly, seasonal and annual) resolutions were considered for performance evaluation of TMPA products. Results revealed that the spatial pattern of observed precipitation over the basin was adequately captured by 3B42V7 but misplaced by 3B42V6 and 3B42RT. All TMPA products were unable to capture the intense precipitation events. On the daily time scale, the performance of TMPA products was very poor over both spatial scales. 3B42V6 underestimated the precipitation (31.25% and 44.27% on pixel and basin scales, respectively). By contrast, 3B42RT significantly overestimated the precipitation (47.91% and 38.62% on pixel and basin scales, respectively), while 3B42V7 showed overestimation (17.30%) on pixel scale and slight underestimation (6.24%) on the basin scale. On the seasonal scale, TMPA products showed significant biases with observed precipitation data. We found that the TMPA products performed relatively better on monthly and annual time scales and overall performance of 3B42V7 product was better than that of 3B42V6 and 3B42RT. The bias in 3B42V7 was improved by 85.90% compared with 3B42V6 and by 116.16% compared with 3B42RT. Thus, it is concluded that the TMPA products were unreliable to capture the intense precipitation events and retain high errors on daily and seasonal scales. Therefore, caution should be considered while using these precipitation estimates as a substitute data in hydrology, meteorology and climatology studies in Hunza River basin. However, due to the reasonable performance of monthly and annual 3B42V7 estimates, these can be used as an acceptable substitute for applications in the region.

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Evaluation of Satellite Precipitation Products with Rain Gauge Data at Different Scales: Implications for Hydrological Applications

Cited by 50 publications

References 43 publications

Satellite Rainfall (TRMM 3B42-V7) Performance Assessment and Adjustment over Pahang River Basin, Malaysia

Satellite Rainfall (TRMM 3B42-V7) Performance Assessment and Adjustment over Pahang River Basin, Malaysia

Spatio‐temporal pattern of meteorological droughts and its possible linkage with climate variability

Evaluation and Comparison of TRMM Multi-Satellite Precipitation Products With Reference to Rain Gauge Observations in Hunza River Basin, Karakoram Range, Northern Pakistan

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