Spatiotemporal evaluation of the GPM satellite precipitation products over the United Arab Emirates

Mahmoud, Mohammed T.; Hamouda, Mohamed A.; Mohamed, Mohamed M.

doi:10.1016/j.atmosres.2018.12.029

Cited by 55 publications

(29 citation statements)

References 31 publications

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“…Classical statistical indices (MAE, RMSE, and RBIAS) showed reasonably low error values compared to similar studies (Kim 290 et al, 2017;Mahmoud et al, 2018Mahmoud et al, , 2019 for IMERG products throughout the seasons. IMERG-F had the least MAE and RMSE values for all seasons (Table 3).…”

Section: Seasonal-based Evaluation 275mentioning

confidence: 47%

“…On the other hand, satellite-based precipitation estimates offer timely, quasi-global coverage, and are not inhibited 50 by local topography. Furthermore, a lot of effort has been put into the validation and verification of satellite-based perception estimates (Mantas et al, 2015;Nicholson et al, 2003). Nevertheless, sub-par performances of satellite estimates were commonly reported globally, particularly with their ability to precisely capture high rainfall magnitudes.…”

Section: Introductionmentioning

confidence: 99%

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Performance of GPM-IMERG precipitation products under diverse topographical features and multiple-intensity rainfall in an arid region

Mohammed

Hamouda

Mahmoud

et al. 2020

Preprint

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Abstract. The influence of topographical features and rainfall intensity on the accuracy of precipitation values estimated by earth observing satellites has attracted attention in the past decade. Assessment of rainfall products delivered by the Integrated Multi-satellitE Retrievals of Global precipitation measurement (IMERG) against ground observations has risen as an important endeavour since the accuracy of these products remain unreliable. This study comprehensively evaluated the three GPM IMERG products (near and post-real-time), over the period March 2014 to June 2018. The evaluation approaches were carried out for different seasons, rainfall intensities, topographical features, and hydrological regions over an extremely arid and semiarid country of Saudi Arabia. In general, the results confirmed that the performance of the final-run product surpassed the near-real-time products in terms of consistency and estimated errors. The evaluation results showed that for seasonal-based evaluation, the precipitation products exhibited better performance in spring and summer, while having relatively lower accuracy and higher biases in fall and winter. In addition, the results showed that the IMERG products had high performance in capturing the various rainfall intensities, with light rain having the highest accuracy. This is particularly important for arid regions as most of the rainfall is of the low-intensity class. Overall, the higher the rainfall intensity, the higher the detection errors in the IMERG products. Moreover, the hydrological evaluation results showed that the hydrological regions with low density of rain gauge stations hinders the proper evaluation of satellite products and tends to underestimate the performance of the products. Furthermore, the accuracy of the precipitation products was affected by topography to different extents. IMERG precipitation products exhibited high detection accuracy over moderate elevation areas (inland regions); whereas it had poor performance over flat plains (coastal regions) and high altitudes (foothills and mountainous regions). The outcomes of this evaluation could help developers in improving the GPM IMERG calibration to achieve better detection accuracy over arid and semiarid regions. More importantly, these results are of interest for local authorities to help manage development activities and to plan precautionary measures for extreme rainfall events.

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Section: Seasonal-based Evaluation 275mentioning

confidence: 47%

Section: Introductionmentioning

confidence: 99%

Performance of GPM-IMERG precipitation products under diverse topographical features and multiple-intensity rainfall in an arid region

Mohammed

Hamouda

Mahmoud

et al. 2020

Preprint

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“…; Mahmoud et al . ). The latter is produced by a series of CI events over the Al Hajar Mountains, which can propagate to the west depending on the local and large‐scale forcing conditions (Böer, ; Sherif et al .…”

Section: Introductionmentioning

confidence: 99%

“…The latter is caused by sea-breeze effects and the orography in the Hajar mountains in the northeastern part of the country eventually leading to the development of convergence zones along the coast and over the Hajar mountain range. Therefore, though summertime is the driest period for the Arabian peninsula, a significant west-east gradient exists, with basically no rainfall over the deserts in the western and central part of the UAE, with amounts < 5 mm, but with increasing amounts up to ≈ 20 mm toward and over the Hajar mountain range (Wehbe et al 2017;Mahmoud et al 2019). The latter is produced by a series of CI events over the Al Hajar Mountains, which can propagate to the west depending on the local and large-scale forcing conditions (Böer, 1997;Sherif et al 2014;Steinhoff et al 2018;Wehbe et al 2019).…”

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confidence: 99%

Sensitivity study of the planetary boundary layer and microphysical schemes to the initialization of convection over the Arabian Peninsula

Schwitalla

Branch

Wulfmeyer

2019

Quart J Royal Meteoro Soc

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In this study, we present a five‐member Weather Research and Forecasting (WRF) physics ensemble over the Arabian Peninsula on the convection‐permitting (CP) scale and investigate the ability to simulate convection and precipitation by varying the applied cloud microphysics and planetary boundary layer (PBL) parametrizations. The study covers a typical precipitation event ocurring during summertime over the eastern part of the United Arab Emirates (UAE). Our results show that the best results are obtained by using water‐ and ice‐friendly aerosols combined with aerosol‐aware Thompson cloud microphysics and the Mellor‐Yamada‐Nakanishi‐Niino (MYNN) PBL parametrization. The diurnal cycle of 2‐m temperature over the desert is well captured by all members, although a cold bias is present during the morning and evening transition. All members are capable of simulating the correct timing of the onset of convection. Simulations with the MYNN PBL and Thompson scheme produce the highest convective available potential energy (CAPE) and convective inhibition (CIN), associated with stronger mixing inside the PBL, leading to the formation of more dense liquid water clouds. The WDM6 microphysics scheme is not a suitable option, as there are hardly any liquid water clouds; mainly ice clouds are simulated. Precipitation is best captured by applying the MYNN and Thomspon scheme. Although the ensemble size is relatively small, this allows for the provision of cloud probability maps suitable for cloud‐seeding applications.

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“…IMERG products have not been widely applied in meteorological or hydrological fields, and presently, several studies tend to concentrate on evaluating data reliability. Many studies have evaluated the application of IMERG‐F at different spatiotemporal scales (Asong et al, 2017; H. Guo et al, 2016; Mahmoud et al, 2019; Reddy et al, 2019; Tang et al, 2016; Wei et al, 2018) under different topographic and climate characteristics (Kim et al, 2017; C. Zhang, Chen, et al, 2018; Lu et al, 2019, 2018; Anjum et al, 2019), and in the hydrological field (Jiang et al, 2018; Ma et al, 2019; N. Li, Tang, et al, 2017; Z. Wang et al, 2017). According to reference standards such as ground rain gauges or weather radar inversion products (e.g., quantitative precipitation estimation) (N. Li, Wang, et al, 2017), these studies evaluate IMERG‐F solely or in conjunction with other satellite‐based precipitation data analysis products (e.g., TMPA, CMORPH, and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks).…”

Section: Introductionmentioning

confidence: 99%

Can the GPM IMERG Hourly Products Replicate the Variation in Precipitation During the Wet Season Over the Sichuan Basin, China?

Wang

Wang²,

et al. 2020

Earth and Space Science

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Two near-real-time and one post-processing products from the Integrated Multi-satellite Retrievals for Global Precipitation Measurement Mission (GPM IMERG) were evaluated during the period from 2016 to 2018 in the wet seasons (June-November) over the Sichuan Basin, China. Results indicated the following: (1) The three products could generally replicate strong precipitation well; however, significantly large biases were observed when detecting weak precipitation. (2) All three products replicated summer precipitation more accurately than autumn precipitation. The IMERG "early run" product (IMERG-E) largely underestimated precipitation in the wet season, while the "latter run" (IMERG-L) and "final run" products (IMERG-F) could counteract this to a certain degree. (3) IMERG-F captured weak, moderate, and strong precipitation well during the wet season, and IMERG-E showed excellent potential in detecting different precipitation intensities. All the three products could replicate the diurnal cycle of the wet season precipitation. The findings of this study can facilitate the application of IMERG products in regions with complex topography and have also highlighted the potential of IMERG-E for rapid early warning and forecast systems.

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Spatiotemporal evaluation of the GPM satellite precipitation products over the United Arab Emirates

Cited by 55 publications

References 31 publications

Performance of GPM-IMERG precipitation products under diverse topographical features and multiple-intensity rainfall in an arid region

Performance of GPM-IMERG precipitation products under diverse topographical features and multiple-intensity rainfall in an arid region

Sensitivity study of the planetary boundary layer and microphysical schemes to the initialization of convection over the Arabian Peninsula

Can the GPM IMERG Hourly Products Replicate the Variation in Precipitation During the Wet Season Over the Sichuan Basin, China?

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