Impact of the crucial geographic and climatic factors on the input source errors of GPM-based global satellite precipitation estimates

Chen, Hanqing; Yong, Bin; Gourley, Jonathan J.; Liu, Jiufu; Ren, Liliang; Wang, Weiguang; Hong, Yang; Zhang, Jianyun

doi:10.1016/j.jhydrol.2019.05.020

Cited by 52 publications

(37 citation statements)

References 35 publications

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“…Moreover, the light rainfall and winter snow in arid region further imposed another challenge to the satellite-based precipitation estimates. Consequently, the satellite precipitation products usually had an unsatisfactory performance over the arid region in China, and this is consistent with the result of Yong et al [39] and Chen et al [46]. Compared to GSMaP_NRT, the GSMaP_Gauge_NRT obviously improved the data accuracy, but it had low CC (0.36) and BIAS (35.08%) values over the arid region.…”

Section: Comparison and Validation Of Gsmap_nrt And Gsmap_gauge_nrt Psupporting

confidence: 85%

“…The GSMaP algorithm uses various of PMW/IR sensors to produce the "best" precipitation estimates through several steps. First, several PMW radiometers carried by different satellites, such as the GPM microwave imager (GMI), TRMM microwave imager (TMI), special sensor microwave imager/sounder (SSMIS), advanced microwave scanning radiometer 2 (AMSR2), advanced microwave sounding unit-A (AMSU-A), and microwave humidity sounder (MHS), are used to retrieve quantitative precipitation estimates [33,46]. Then, it uses the cloud motion vector derived from successive geo-IR images to propagate the precipitation area for filling the gaps between PMW-based estimates, which is similar to CMORPH.…”

Section: Gsmap Near-real-time Precipitation Productsmentioning

confidence: 99%

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A Preliminary Assessment of the Gauge-Adjusted Near-Real-Time GSMaP Precipitation Estimate over Mainland China

Lü

Yong

2020

Remote Sensing

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The near-real-time satellite-derived precipitation estimates are attractive for a wide range of applications like extreme precipitation monitoring and natural hazard warning. Recently, a gauge-adjusted near-real-time GSMaP precipitation estimate (GSMaP_Gauge_NRT) was produced to improve the quality of the original GSMaP_NRT. In this study, efforts were taken to investigate and validate the performance of the GSMaP_Gauge_NRT using gauge observations over Mainland China. The analyses indicated that GSMaP_NRT generally overestimated the gauge precipitation in China. After calibration, the GSMaP_Gauge_NRT effectively reduced this bias and was more consistent with gauge observations. Results also showed that the correction scheme of GSMaP_Gauge_NRT mainly acted on hit events and could hardly make up the miss events of the satellite precipitation estimates. Finally, we extended the evaluation to the global scale for a broader view of GSMaP_Gauge_NRT. The global comparisons exhibited that the GSMaP_Gauge_NRT was in good agreement with the GSMaP_Gauge product. In conclusion, the GSMaP_Gauge_NRT had better performance than the GSMaP_NRT and was a more reliable near-real-time satellite precipitation product.

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Section: Comparison and Validation Of Gsmap_nrt And Gsmap_gauge_nrt Psupporting

confidence: 85%

Section: Gsmap Near-real-time Precipitation Productsmentioning

confidence: 99%

A Preliminary Assessment of the Gauge-Adjusted Near-Real-Time GSMaP Precipitation Estimate over Mainland China

Lü

Yong

2020

Remote Sensing

Self Cite

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“…For decades, numerous researchers have focused on the errors of satellite-based precipitation products at multiple scales all over the world, leading to the continuous improvement of these products to [40][41][42][43][44][45]. In this study, we have proposed some possible error sources of the GPM IMERG product, hoping to provide preliminary references for improving satellite-based QPE for the next generation.…”

Section: Possible Error Source Analysis Of the Gpm Imerg Productmentioning

confidence: 99%

Quantitative Evaluations and Error Source Analysis of Fengyun-2-Based and GPM-Based Precipitation Products over Mainland China in Summer, 2018

Tang

et al. 2019

Remote Sensing

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Satellite-based quantitative precipitation estimates (QPE) with a fine quality are of great importance to global water cycle and matter and energy exchange research. In this study, we firstly apply various statistical indicators to evaluate and compare the main current satellite-based precipitation products from Chinese Fengyun (FY)-2 and the Global Precipitation Measurement (GPM), respectively, over mainland China in summer, 2018. We find that (1) FY-2G QPE and Integrated Multi-satellitE Retrievals for GPM (IMERG) perform significantly better than FY-2E QPE, using rain gauge data, with correlation coefficients (CC) varying from 0.65 to 0.90, 0.80 to 0.90, and 0.40 to 0.53, respectively; (2) IMERG agrees well with rain gauge data at monthly scale, while it performs worse than FY-2G QPE at hourly and daily scales, which may be caused by its algorithms; (3) FY-2G QPE underestimates the precipitation in summer, while FY-2E QPE and IMERG generally overestimate the precipitation; (4) there is an interesting error phenomenon in that both FY-based and GPM-based precipitation products perform more poorly during the period from 06:00 to 10:00 UTC than other periods at diurnal scale; and (5) FY-2G QPE agrees well with IMERG in terms of spatial patterns and consistency (CC of~0.81). These findings can provide valuable preliminary references for improving next generation satellite-based QPE retrieval algorithms and instructions for applying these data in various practical fields.Collecting precipitation information from ground rain gauge stations is the traditional and common method of measurement. However, the limitations are obvious due to the uneven spatial distribution of the stations. The measurements of ground stations are usually very sparse over some regions of the earth (e.g., the Tibetan plateau), which are meteorologically important [6,7]. As for ground-based weather radars, they have certain superiorities when observing precipitation in local areas. Nevertheless, due to the limitations of the scope of observation and the huge cost of equipment acquisition and maintenance, ground-based weather radars are not the first choice for large-scale precipitation observations. However, precipitation information obtained from satellites does not meet such limitations. Satellite-based precipitation datasets can depict the spatial and temporal variability of precipitation with a considerable accuracy over regions that have few ground stations [5,8]. Over the last four decades, the progress of meteorological satellites has made it possible for scientists to acquire reliable and cost-effective precipitation datasets through a variety of sensors and inversion algorithms [9][10][11][12][13]. Therefore, obtaining high-resolution and accurate precipitation estimates derived from sensors on satellites at a regional or global scale has become a highly-efficient research method at present [4,14,15].Satellite-based precipitation products provided by several institutions and organizations from all over the world are different in terms o...

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“…Water-resource development based on cascade reservoirs in the Yangtze River basin has achieved great progress over the past 50 years, especially in regard to the construction of the Three Gorges Dam (TGD) [21][22][23]. However, a series of hydrological and hydraulic changes inevitably occurred in the downstream channels [24,25]. Therefore, the Dongting river-lake system, 260 km downstream of the TGD, suffered from severe hydrological variations during the different flow regulation periods.…”

Section: Introductionmentioning

confidence: 99%

Water-Exchange Response of Downstream River–Lake System to the Flow Regulation of the Three Gorges Reservoir, China

Zhang

Huang

Chen

et al. 2019

Water

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Hydrological regime changes in the river–lake system and their influences on the ecological environment downstream dams have attracted increasingly more attention all over the world. The Dongting lake downstream of the Three Gorges Dam (TGD) in the Yangtze River has been experiencing a series of hydraulic and hydrological changes over the last decade. The hydrological and ecological influences of the TGD flow regulation on the Dongting river–lake system and its functional mechanism during the impounding periods remain extremely unclear. This study examines the hydrological changes in the Dongting river–lake system based on a 1D/2D coupled hydrodynamic model. In particular, the inflow boundary of the model with and without the TGD was applied with the outflow and inflow of the TGD, respectively, during the same regulation periods. The results show that the diverted flow from the Yangtze River into the Dongting lake and outflow from the lake back to the river drastically decreased during the impounding periods, especially in October. The decreased water exchange between the Yangtze River and the Dongting lake impaired the water residence capacity to some extent in the lake. Stage decrease in the lake area resulted in a significant reduction in the water volume of the Dongting lake with the same time percentage. In addition, the obvious drainage effect in Dongting lake due to the increased stage difference and current speed after the TGD operation was the essential cause of hydrological changes in the lake area. These results provide an improvement in the understanding of impoundment influences on the large river–lake system and give some practical information for ecological environment management in similar river–lake systems.

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Impact of the crucial geographic and climatic factors on the input source errors of GPM-based global satellite precipitation estimates

Cited by 52 publications

References 35 publications

A Preliminary Assessment of the Gauge-Adjusted Near-Real-Time GSMaP Precipitation Estimate over Mainland China

A Preliminary Assessment of the Gauge-Adjusted Near-Real-Time GSMaP Precipitation Estimate over Mainland China

Quantitative Evaluations and Error Source Analysis of Fengyun-2-Based and GPM-Based Precipitation Products over Mainland China in Summer, 2018

Water-Exchange Response of Downstream River–Lake System to the Flow Regulation of the Three Gorges Reservoir, China

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