Comparison of precipitation estimates between Version 7 3-hourly TRMM Multi-Satellite Precipitation Analysis (TMPA) near-real-time and research products

Liu, Zhong

doi:10.1016/j.atmosres.2014.07.032

Cited by 68 publications

(45 citation statements)

References 28 publications

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“…Results indicated that the accuracy was higher on basin scale compared with pixel scale and overall performance of monthly 3B42V7 estimates was better than that of monthly 3B42V6 and 3B42RT data. These findings are consistent with previous literature [14,18].…”

Section: Evaluation Of Tmpa Products At Different Spatial and Temporasupporting

confidence: 83%

“…A large number of studies have evaluated the performance of 3V42V6 in many parts of world [11][12][13][14][15]. Although some studies have also documented the performance of 3B42V7 in different regions of the world [14][15][16][17][18], limited studies have reported on its performance relative to its predecessor (3B42V6) and near real time product (3B42RT) in complex terrain regions having cryospheric environment. Thus, a river basin situated in the high mountains of Hindukush-Karakoram-Himalayan (HKH) region [15,19] has been chosen for undertaking a comprehensive and comparative assessment of TMPA products with a wide variety of statistical indicators.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Evaluation Of Tmpa Products At Different Spatial and Temporasupporting

confidence: 83%

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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“…Hence, for precipitation studies, satellite estimates must be calibrated with ground-based observations (Smith et al, 2006;Chen et al, 2013a;Li et al, 2014). Various past studies show that 3B42 V7 clearly improves upon its predecessor version and other available precipitation products (Chen et al, 2013b;Prakash et al, 2014Prakash et al, , 2015aPrakash et al, , 2015dLiu, 2015).…”

Section: Data Usedmentioning

confidence: 99%

Spatiotemporal characteristics of extreme rainfall events over the Northwest Himalaya using satellite data

Bharti

Singh

Ettema

et al. 2016

Intl Journal of Climatology

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Using remotely sensed Tropical Rainfall Measuring Mission (TRMM) 3B42 version 7 precipitation data, an investigation on extreme rainfall events (EREs) during the monsoon season has been conducted over the Northwest Himalaya (NWH) for the period of 1998–2013. The satellite precipitation data have been validated with gridded rain gauge data prepared by India Meteorological Department (IMD) using standard statistical measures. A strong positive correlation of 0.88 is found between both, supporting the use of 3B42 V7 for the study of rainfall over the region. The EREs have been identified using three indices corresponding to 98th, 99th, and 99.99th percentiles of the rainfall distribution over the region. The 98th and 99th percentile thresholds are suggested to be considered as extreme and very extreme events respectively whereas 99.99th percentile may correspond to the cloudburst events. The parametric t‐test results indicate a significant increasing trend of the frequency of EREs whereas non‐parametric Mann‐Kendall test results yield no significant trend of EREs over the study region. As the sample size is small, therefore the significance of these results may not be ascertained. The elevation exhibits strong inverse relation with frequency and intensity of EREs over the NWH. A strong negative correlation of ∼0.8 and a poor negative correlation of ∼0.48 are obtained between the elevation and frequency of extremes exceeding 98th and 99th percentiles, and frequency of the cloudburst events, respectively. Whereas, elevation shows strong negative correlations of −0.85, −0.84, and −0.81 with rainfall intensities associated with 98th, 99th, and 99.99th percentiles, respectively. The plains and foothills of the NWH region experience the highest frequency of EREs. However, the peaks of the highest frequency of events are also observed at different elevation ranges at state‐level analysis. This study is a contribution to the on‐going research of extreme events over the mountainous terrain including disaster management study.

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“…In this study, TRMM precipitations version 3B42 (Huffman et al, 2007;Liu, 2015) are used, they contain output from the TRMM Algorithm 3B42 that are merged high quality (HQ)/infrared (IR) precipitation and root-mean-square (RMS) precipitation-error estimates. The output is given over 0.25× 0.25 degree grid boxes daily.…”

Section: Datamentioning

confidence: 99%

On the spatial coherence of rainfall over the Saloum delta (Senegal) from seasonal to decadal time scales

Wade¹,

Mignot

Lazar

et al. 2015

Front. Earth Sci.

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Comparison of precipitation estimates between Version 7 3-hourly TRMM Multi-Satellite Precipitation Analysis (TMPA) near-real-time and research products

Cited by 68 publications

References 28 publications

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

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

Spatiotemporal characteristics of extreme rainfall events over the Northwest Himalaya using satellite data

On the spatial coherence of rainfall over the Saloum delta (Senegal) from seasonal to decadal time scales

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