Evaluation of multiple satellite-derived rainfall products over Morocco

Gadouali, Fouad; Messouli, Mohammed

doi:10.1504/ijhst.2020.10022224

Cited by 3 publications

(3 citation statements)

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“…PERSIANN-CCS and CDR were found to outstand the least having mean values in the range of 0 to 0.4 in both POD and CSI. is was further proved by Gadouali et al [60], who performed a study on SRPs in Morocco. His results showed that PERSIANN-CDR was worst at detecting rainfalls.…”

Section: Detection Of Heavy Rainfall Eventsmentioning

confidence: 79%

“…e PER-SIANN-CDR data obtained were then bias-corrected using 2.5 °monthly Global Precipitation Climatology Project (GPCP) data. is SRP was mainly developed with the aim of providing a long-term, high-resolution, and global precipitation dataset to be used in studies to determine changes and trends in daily precipitation, especially extreme precipitation events, due to climate change and natural variability [60].…”

Section: Rain Gauge Datamentioning

confidence: 99%

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Evaluation of Satellite Rainfall Products over the Mahaweli River Basin in Sri Lanka

Perera

Fernando

Gunathilake

et al. 2022

Advances in Meteorology

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The availability of accurate spatiotemporal rainfall data is of utmost importance for reliable predictions from hydroclimatological studies. Challenges and limitations faced due to the absence of dense rain gauge (RG) networks are seen especially in the developing countries. Therefore, alternative rainfall measurements such as satellite rainfall products (SRPs) are used when RG networks are scarce or completely do not exist. Noteworthy, rainfall data retrieved from satellites also possess several uncertainties. Hence, these SRPs should essentially be validated beforehand. The Mahaweli River Basin (MRB), the largest river basin in Sri Lanka, is the heart of the country’s water resources contributing to a significant share of the hydropower production and agricultural sector. Given the importance of the MRB, this study explored the suitability of SRPs as an alternative for RG data for the basin. Daily rainfall data of six types of SRPs were extracted at 14 locations within the MRB. Thereafter, statistical analysis was carried out using continuous and categorical evaluation indices to evaluate the accuracy of SRPs. Nonparametric tests, including the Mann-Kendall and Sen’s slope estimator tests, were used to detect the possibility of trends and the magnitude, respectively. Integrated MultisatellitE Retrievals for Global Precipitation Measurement (IMERG) outperformed among all SRPs, while Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) products showed dire performances. However, IMERG also demonstrated underestimations when compared to RG data. Trend analysis results showcased that the IMERG product agreed more with RG data on monthly and annual time scales while Tropical Rainfall Measurement Mission Multisatellite Precipitation Analysis–3B42 (TRMM-3B42) agreed more on the seasonal scale. Overall, IMERG turned out to be the best alternative among the SRPs analyzed for MRB. However, it was clear that these products possess significant errors which cannot be ignored when using them in hydrological applications. The results of the study will be valuable for many parties including river basin authorities, agriculturists, meteorologists, hydrologists, and many other stakeholders.

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Section: Detection Of Heavy Rainfall Eventsmentioning

confidence: 79%

Section: Rain Gauge Datamentioning

confidence: 99%

Evaluation of Satellite Rainfall Products over the Mahaweli River Basin in Sri Lanka

Perera

Fernando

Gunathilake

et al. 2022

Advances in Meteorology

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“…Ouatiki et al (2017) proved the accuracy of the TRMM 3B42 Version 7 product to estimate monthly and annual precipitation over the Oum Er Rbia Watershed in Morocco [29]. Recently, Gadouali and Messoulli (2018) compared four satellite derived rainfall products over Morocco at different seasons and topographic elevations and concluded that TRMM3B42V7 outperforms all the others, especially when using larger time steps [30].…”

Section: Introductionmentioning

confidence: 93%

Combining Use of TRMM and Ground Observations of Annual Precipitations for Meteorological Drought Trends Monitoring in Morocco

Hadria¹,

Boudhar²,

Ouatiki³

et al. 2019

AJRS

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The monitoring of drought statewide is a difficult issue especially when the national network of meteorological stations is sparse or do not cover the entire country. In this paper, rainfall satellite estimates derived from Tropical Rainfall Measuring Mission (TRMM) product have been used to evaluate the ability of remote sensing data to study the trends of annual precipitation in Morocco between 1998 and 2012. The standardized precipitation index, SPI, has been chosen to monitor meteorological drought in Morocco. Firstly, the accuracy of TRMM product to estimate annual rainfall was evaluated. Annual precipitations derived from 5113 daily TRMM data were compared to the corresponding rainfall measurements from 23 rain gauges. The results showed a general good linear relationship between TRMM and rain gauges data. When considering annual record, the Pearson correlation coefficient, R², was equal to 0.73 and the root mean square error, RMSE, was equal to 159.8mm/year. The correlation between rain gauge measurements and TRMM rainfall had been clearly improved when working with long-term annual average precipitation. The R² increased to 0.79 and the RMSE decreased to 115,2mm. Secondly, the Mann-kendall tau coefficient, the Theil Sen slope and the contextual Mann-Kendall significance were used to analyze the SPI trends over Morocco. This analysis showed that mainly two regions appeared to be subject of significant trends during the studied period: The extreme north eastern of Morocco manifests a positive SPI trends and is more and more subject of extreme rainfall while the extreme south of the country is suffering from a decrease of annual precipitation which could represent significant socioeconomic risks in these areas.

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A comprehensive assessment of satellite precipitation products over a semi-arid region: focus on extreme events

Salih,

Epule,

EL Khalki

et al. 2023

Nat Hazards

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Evaluation of multiple satellite-derived rainfall products over Morocco

Cited by 3 publications

References 0 publications

Evaluation of Satellite Rainfall Products over the Mahaweli River Basin in Sri Lanka

Evaluation of Satellite Rainfall Products over the Mahaweli River Basin in Sri Lanka

Combining Use of TRMM and Ground Observations of Annual Precipitations for Meteorological Drought Trends Monitoring in Morocco

A comprehensive assessment of satellite precipitation products over a semi-arid region: focus on extreme events

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