Assessment of GPM IMERG and radar quantitative precipitation estimation (QPE) products using dense rain gauge observations in the Guangdong-Hong Kong-Macao Greater Bay Area, China

Li, Xue; Chen, Yangbo; Wang, Huanyu; Zhang, Yueyuan

doi:10.1016/j.atmosres.2019.104834

Cited by 40 publications

(22 citation statements)

References 39 publications

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“…In regard to the grid scale, the spatial distribution characteristics of rainfall events for each product in each grid and indexes are explored. From this, accuracy validation can be conducted using the total data along with evaluations of a single grid, so that a comprehensive comparison between each precipitation product and observed values is achieved [19][20][21]. In the second part (runoff simulation evaluation), the SWAT model is used to construct a hydrological model of the XRRB based on two scenarios.…”

Section: Technical Frameworkmentioning

confidence: 99%

“…The reason lies in the improvement of the performance of dual-frequency precipitation radar (DPR) and the GPM Microwave Imager (GMI); thus, the spatial structure and physical features of different precipitation particles in the clouds can be monitored from various angles, and, therefore, the capability to discover different-level precipitation has been significantly improved [41]. In our previous study, we proved that the GPM IMERG products have an advantage in capturing rainfall events and estimating instantaneous precipitation, especially for light rain events [19]. Combining the RMSE, Bias, CORR, and significance test results, we can conclude that the FR product is more accurate than the ER and LR products.…”

Section: Comparison Of Imerg Series Products With Rain Gauge Datamentioning

confidence: 99%

“…The reliability and accuracy of satellite data are affected by climatic and geographic conditions as well as seasons [18]. Despite their variability, a general tendency is that the accuracy of IMERG products improves as the time scale increases [19][20][21]. The IMERG products more closely resemble the site rainfall data at daily, monthly, and annual scales [12], and the post-real-time IMERG final run (FR) product is relatively more accurate than the near-real-time early run (ER) and late run (LR) products and can play an important role in supplementing or replacing surface precipitation measurements [10,21].…”

Section: Introductionmentioning

confidence: 99%

“…On the subdaily scale, the performances of the three IMERG products are similar, with the ER and LR products generally considered to be more reliable for early flood warning systems because of their shorter lag time advantages. Although these products have a greater potential for flood forecasting than other products, their accuracies must be continually evaluated [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation and Hydrological Utility of the GPM IMERG Precipitation Products over the Xinfengjiang River Reservoir Basin, China

et al. 2021

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As a supplement to gauge observation data, many satellite observations have been used for hydrology and water resource research. This study aims to analyze the quality of the Integrated Multisatellite Retrieval for Global Precipitation Measurement (GPM IMERG) products and their hydrological utility in the Xinfengjiang River reservoir basin (XRRB), a mountainous region in southern China. The grid-based soil and water assessment tool (SWAT) model was used to construct a hydrological model of the XRRB based on two scenarios. The results showed that on a daily scale, the IMERG final run (FR) product was more accurate than the others, with Pearson’s correlation coefficients (CORR) of 0.61 and 0.71 on the grid accumulation scale and the average scale, respectively, and a relative bias (BIAS) of 0.01. In Scenario I (the SWAT model calibrated by rain gauge data), the IMERG-based simulation showed acceptable hydrologic prediction ability on the daily scale and satisfactory hydrological performance on the monthly scale. In Scenario II (the SWAT model calibrated by the FR), the hydrological performances of the FR on the daily and monthly scales were slightly better than those in Scenario I (the CORR was 0.64 and 0.85, the BIAS was 0.01 and −0.02, and the NSE was 0.43 and 0.84). These results showed the potential of the FR for hydrological modeling in tropical mountain watersheds in areas where information is scarce. This study is useful for hydrological, meteorological, and disaster studies in developing countries or remote areas with sparse or low-quality networks of ground-based observation stations.

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Section: Technical Frameworkmentioning

confidence: 99%

Section: Comparison Of Imerg Series Products With Rain Gauge Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation and Hydrological Utility of the GPM IMERG Precipitation Products over the Xinfengjiang River Reservoir Basin, China

et al. 2021

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“…The application of the Tri-approach in diagnosing the GPD for glacio-hydrological simulations in mountain regions can be influenced by uncertainties. A denser observation station network is required, especially at the higher elevations, to reduce the uncertainties in the observed datasets for hydrological simulations (Li et al, 2020;Liu et al, 2019). This is crucial for the southeastern parts of the UIB that are characterized by low station density (Figure 1).…”

Section: Uncertaintiesmentioning

confidence: 99%

A Tri-Approach for Diagnosing Gridded Precipitation Datasets for Watershed Glacio-Hydrological Simulation in Mountain Regions

Shafeeque

Luo

2020

Preprint

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Abstract. In mountain regions, validation and local correction of gridded precipitation datasets (GPDs) are pre-requisites for glacio-hydrological simulations. However, insufficient observed data and glacial involvement make it a complicated task in glacierized watersheds. To diagnose the potential problems in GPDs from multiple perspectives and provide directions for their correction, a Tri-approach framework, consisting of statistical analysis, physical diagnosis, and practical simulation, is proposed. Truc-Budyko theory is introduced into this framework, which can identify the actual under- or over-estimation of GPDs based on watershed water-energy balance, diagnose their possible causes, and provide directions for local correction. This framework was applied to the glacierized Upper Indus Basin (UIB) for evaluating GPDs, including APHRODITE, CFSR, PGMFD, TRMM, and HAR, against adjusted observed precipitation (OBS), specific runoff, and glacier mass balance over varying periods during 1951–2017. The Spatial Processes in HYdrology (SPHY) model was used to simulate the hydrology and glacier changes (2001–2007). The results suggest that (a) patterns of inter- and intra-annual variations of OBS precipitation were better captured by APHRODITE (CC > 0.6), but it was underestimated (−40 %), (b) UIB was characterized as Leaky catchment based on overestimated CFSR (106 %) and HAR (77 %), indicating positive glacier storage changes (0.37 and 0.21 m w.e. yr−1, respectively). In contrast, UIB was characterized as Gaining watershed for remaining underestimated datasets, indicating negative storage changes (−0.42 to −0.34 m w.e. yr−1). (c) For constant mass balance, the simulated runoff was overestimated in SPHY_CFSR (66 %) and SPHY_HAR (53 %), whereas it was underestimated for SPHY_APHRODITE (−41 %), SPHY_PGMFD (−26 %), and SPHY_TRMM (−33 %). It highlights that evaluated GPDs could not generally meet the requirements of the rational output of glacier mass balance and streamflow concurrently. The physical diagnosis directs local correction based on under- and over-estimation. The practical simulation explores the extent of expected uncertainties in intra/inter-annual characteristics of glacio-hydrology.

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Systematic assessment of GPM IMERG V06 precipitation products with dense rain gauge observations over Zhejiang Province, China

Sun

Shen

et al. 2022

Intl Journal of Climatology

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This study systematically assessed the performance of the Integrated Multi-satellitE Retrievals (IMERG) for Global Precipitation Measurement V06, including the near-real-time "Late Run" (IMERG-L) and the post-real-time "Final Run" (IMERG-F), over Zhejiang Province (ZJP), China. The evaluation was conducted at daily and hourly timescales for a full year and for each season, based on dense rain gauge observations and continuous and categorical validation statistics. For the full year and for each season, IMERG-F outperformed IMERG-L in representing the spatial pattern of multiyear mean precipitation. For regional mean of ZJP, IMERG-F and IMERG-L overestimated the daily/hourly precipitation for the full year by 6.51 and 4.98%, respectively. Among seasons, the regional mean relative biases for IMERG-F were between 5.65 and 8.63%; however, for IMERG-L, they exhibited notable variations with a maximum of 11.09% in fall and a minimum of 0 in spring. Bias composition suggested that the regional mean overestimations were largely due to false bias for the full year and for each season, except in winter, wherein it was due to hit bias. Spatially, the biases for the full year and for each season commonly arose from false and hit biases at daily timescale, and from false and miss biases at hourly timescale. Based on the remaining continuous metrics (i.e., root-mean-square-error [RMSE], correlation coefficient [CC], and Kling-Gupta Efficiency [KGE]) and all categorical metrics, the IMERG daily/hourly performance was acceptable on regional and grid scales throughout the year and in all seasons. From a region-average perspective, IMERG-F outperformed IMERG-L according to CC, RMSE, and KGE, but both products showed the same performance overall based on all categorical metrics; most grids also share these characteristics. This study provides a valuable reference for IMERG developers to improve product accuracy from the perspective of the final postprocessing step and for potential users in ZJP.

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Assessment of GPM IMERG and radar quantitative precipitation estimation (QPE) products using dense rain gauge observations in the Guangdong-Hong Kong-Macao Greater Bay Area, China

Cited by 40 publications

References 39 publications

Evaluation and Hydrological Utility of the GPM IMERG Precipitation Products over the Xinfengjiang River Reservoir Basin, China

Evaluation and Hydrological Utility of the GPM IMERG Precipitation Products over the Xinfengjiang River Reservoir Basin, China

A Tri-Approach for Diagnosing Gridded Precipitation Datasets for Watershed Glacio-Hydrological Simulation in Mountain Regions

Systematic assessment of GPM IMERG V06 precipitation products with dense rain gauge observations over Zhejiang Province, China

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