Evaluation and intercomparison of GPM-IMERG and TRMM 3B42 daily precipitation products over Greece

Kazamias, Anastasios-Petros; Sapountzis, Marios; Lagouvardos, K.

doi:10.1117/12.2279689

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…However, the results of this study are found to be consistent with that obtained in the surrounding countries of Egypt. To the north and northwest of Egypt, IMERG could not estimate accurate rainfall amounts and occurrence which was reported in the coast of Mediterranean in Sardinia and Sicily (Italy) [18], Greece [36], and Cyprus [37]. To the south of Egypt, CHIRPS showed a high RMSE (up to 50 mm/day) which was also reported in South Sudan [35].…”

Section: Discussionmentioning

confidence: 84%

Assessment of Satellite-Based Precipitation Measurement Products over the Hot Desert Climate of Egypt

2019

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The performance of three satellite-based high-resolution gridded rainfall datasets, namely the gauge corrected Global Satellite Mapping of Precipitation (GSMaP), Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG), and the Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) in the hot desert climate of Egypt were assessed. Seven statistical indices including four categorical indices were used to assess the capability of the products in estimating the daily rainfall amounts and detecting the occurrences of rainfall under different intensity classes from March 2014 to May 2018. Although the products were gauge-corrected, none of them showed a consistent performance, and thus could not be titled as the best or worst performing product over Egypt. The CHIRPS was found to be the best product in estimating rainfall amounts when all rainfall events were considered and IMERG was found as the worst. However, IMERG was better at detecting the occurrence of rainfall than CHIRPS. For heavy rainfall events, IMERG was better at the majority of the stations in terms of the Kling–Gupta efficiency index (−0.34) and skill-score (0.33). The IMERG was able to show the spatial variability of rainfall during the recent big flash flood event that hit Northern Egypt. The study indicates that accurate estimation of rainfall in the hot desert climate using satellite sensors remains a challenge.

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Section: Discussionmentioning

confidence: 84%

Assessment of Satellite-Based Precipitation Measurement Products over the Hot Desert Climate of Egypt

2019

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“…The main systematic errors of the RAPID system come from the IMERG data 150 which are used to trigger the RAPID system. IMERG data have been found to overestimate light precipitation and overestimate heavy precipitation over Greece and to produce many false alarm events [Kazamias et al, 2022;Kazamias et al, 2017].…”

Section: Closing Remarksmentioning

confidence: 99%

Brief communication: Storm Daniel Flood Impact in Greece 2023: Mapping Crop and Livestock Exposure from SAR

He,

Yang,

Shen

et al. 2023

Preprint

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Abstract. For this communication, we analyzed the crop area and numbers of livestock exposed to flooding from the historic precipitation caused by storm Daniel in central Greece on September 3–8, 2023. We derived from the near-real-time RAdar-Produced Inundation Diary (RAPID) system an inundated area totaling 1,150 km2, located mainly in the Thessalian plain. By overlaying a land cover map on the RAPID inundation map, we found that ~820 km2 (70 %) of the inundated area was agricultural land. A detailed distribution map of crop type and animal farms revealed that the crop most affected by the flooding was cotton; the inundated area of more than 282 km2 comprised ~30 % of the total area planted with cotton in central Greece. In terms of livestock, we estimated more than 14,000 ornithoids and 21,500 sheep and goats were affected. Consequences for agriculture and animal husbandry in Greece are expected to be severe.

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“…GPM-IMERG contains significant random and systematic errors, which are accounted in the indirect nature of precipitation measurement (Aghakouchak et al 2012, Sun et al 2018. Previous studies have evaluated the GPM-IMERG product against ground-based precipitation measurements at regional scale (Kazamias et al 2017, Xu et al 2019, Maghsood et al 2020. Most of these studies delt with the assessment of GPM-IMERG at daily or monthly scale and only few of them examined its performance at a sub-daily scale (Manz et al 2017, Freitas et al 2020, which is much more suitable for flash flood phenomena.…”

Section: Introductionmentioning

confidence: 99%

Utilization and uncertainties of satellite precipitation data in flash flood hydrological analysis in ungauged watersheds

2021

Global NEST Journal

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<p>Aim of the study is to examine the potential utilization of satellite precipitation data to estimate the peak discharges of flash floods in ungauged Mediterranean watersheds. Cumulative precipitation heights from local rain gauge and the GPM-IMERG were correlated in a scatter plot. The calculated linear equations were used to adjust the uncalibrated GPM-IMERG precipitation data in Thasos island (Northern Greece), to investigate the mechanisms of the flash floods recorded in November 2019 and to evaluate the significance of satellite precipitation data in hydrological modeling. The uncalibrated GPM-IMERG precipitation failed to explain the flash floods phenomena. The rain gauge data are reliable to accurately predict the peak discharges only in cases, where the rain gauges are within the study area. The strong correlation between ground rainfall data and satellite spatiotemporal precipitation data (R2 > 0.65), provides linear regression equations that, through their extrapolation and appliance to the rest of the flooded area, could adjust and correct the satellite data, optimizing the efficiency and accuracy of flash flood analysis, especially in ungauged watersheds. The proposed methodology could highly contribute to the optimization of flood mitigation measures establishment, flood risk assessment, hydrological and hydraulic simulation of flash flood events in ungauged watersheds.</p>

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Evaluation and intercomparison of GPM-IMERG and TRMM 3B42 daily precipitation products over Greece

Cited by 6 publications

References 12 publications

Assessment of Satellite-Based Precipitation Measurement Products over the Hot Desert Climate of Egypt

Assessment of Satellite-Based Precipitation Measurement Products over the Hot Desert Climate of Egypt

Brief communication: Storm Daniel Flood Impact in Greece 2023: Mapping Crop and Livestock Exposure from SAR

Utilization and uncertainties of satellite precipitation data in flash flood hydrological analysis in ungauged watersheds

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