Performance of ERA5 reanalysis precipitation products in the Guangdong-Hong Kong-Macao greater Bay Area, China

Xin, Ying; Liu, Ning; Jiang, Hou; Liu, Yangxiaoyue; Yao, Ling

doi:10.1016/j.jhydrol.2021.126791

Cited by 36 publications

(14 citation statements)

References 91 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For different precipitation intensities, ERA5 and IMERG showed shortcomings of overestimating weak and underestimating high-intensity precipitation, which has been reported for eastern China 130 , 131 , the Himalayas 132 , North America 35 , and Central Asia 133 . The overestimation of weak precipitation can be explained by reasons for overall overestimation above.…”

Section: Discussionmentioning

confidence: 69%

Evaluation of IMERG and ERA5 precipitation products over the Mongolian Plateau

Xin

Yang

Chen

et al. 2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

Precipitation is an important component of the hydrological cycle and has significant impact on ecological environment and social development, especially in arid areas where water resources are scarce. As a typical arid and semi-arid region, the Mongolian Plateau is ecologically fragile and highly sensitive to climate change. Reliable global precipitation data is urgently needed for the sustainable development over this gauge-deficient region. With high-quality estimates, fine spatiotemporal resolutions, and wide coverage, the state-of-the-art Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG) and European Center for Medium-range Weather Forecasts Reanalysis 5 (ERA5) have great potential for regional climatic, hydrological, and ecological applications. However, how they perform has not been well investigated on the Mongolian Plateau. Therefore, this study evaluated the performance of three IMERG V06 datasets (ER, LR and FR), two ERA5 products (ERA5-HRES and ERA5-Land), and their predecessors (TMPA-3B42 and ERA-Interim) over the region across 2001–2018. The results showed that all products broadly characterized seasonal precipitation cycles and spatial patterns, but only the three reanalysis products, IMERG FR and TMPA-3B42 could capture interannual and decadal variability. When describing daily precipitation, dataset performances ranked ERA5-Land > ERA5-HRES > ERA-Interim > IMERG FR > IMERG LR > IMERG ER > TMPA-3B42. All products showed deficiencies in overestimating weak precipitation and underestimating high-intensity precipitation. Besides, products performed best in agricultural lands and forests along the northern and south-eastern edges, followed by urban areas and grasslands closer to the center, and worst in the sparse vegetation and bare areas of the south-west. Due to a negative effect of topographic complexity, IMERG showed poor detection capabilities in forests. Accordingly, this research currently supports the applicability of reanalysis ERA5 data over the arid, topographically complex Mongolian Plateau, which can inform regional applications with different requirements.

show abstract

Section: Discussionmentioning

confidence: 69%

Evaluation of IMERG and ERA5 precipitation products over the Mongolian Plateau

Xin

Yang

Chen

et al. 2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…Many studies are concentrating on the evaluation of ERA5-Land in different regions. Xin et al (2021) evaluated and compared the ability of two ERA5 precipitation products, ERA5-Land and ERA5-HRES, in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) using observations from over 3000 rain gauges in a high-density network during 2018, and the results showed that ERA5-Land data with finer spatial resolution fail to deliver any preferable results than ERA5-HRES. Zou et al (2022) evaluated the ERA5-Land air temperature data in the GBA by using the observations of 1080 automatic weather stations in 2018, and the results showed that ERA5-Land underestimates temperature (an average bias of 0.90 °C) and performs better at low temperatures than at high temperatures.…”

Section: Introductionmentioning

confidence: 99%

A First Evaluation of ERA5-Land Reanalysis Temperature Product Over the Chinese Qilian Mountains

Zhao

2022

Front. Earth Sci.

View full text Add to dashboard Cite

Reanalysis temperature products are important datasets for temperature estimates over high-elevation areas with few meteorological stations. In this study, surface 2 m air temperature data from 17 meteorological stations from 1979 to 2017 in the Qilian Mountains (QLM) are used for comparison with the newest reanalysis product: ERA5-Land derived from the European Centre for Medium-Range Weather Forecasts (ECMWF). In general, the ERA5-Land temperature product can reproduce the observation variation at different time scales very well. A high monthly correlation coefficient that ranges from 0.978 to 0.998 suggests that ERA5-Land reanalysis temperature could capture the observations very well. However, attention should be paid before using ERA5-Land at individual sites because of the average root-mean-square-error (RMSE) of 2.2°C of all stations. The biases between ERA5-Land temperature and observations are mainly caused by the elevation differences between ERA5-Land grid points and meteorological sites. The annual mean temperature shows a significant warming trend (0.488°C/decade) from 1979 to 2017 based on the observations. ERA5-Land reanalysis temperature captures the increasing trend very well (0.379°C/decade). The biggest positive warming trends of observations and ERA5-Land are both found in summer with values of 0.574°C/decade and 0.496°C/decade, respectively. We suggest that ERA5-Land generally reproduces the temperature trend very well for observations and is reliable for scientific research over the QLM.

show abstract

“…Xu et al (2022) showed that the spatial patterns of annual precipitation of ERA-5-Land and ERA-5 in mainland China were similar, but their statistical indicators (e.g., correlation coefficient, root mean square error, probability of detection, and false alarm ratio) of ERA-5-Land reanalysis precipitation data were superior to ERA-5. Xin et al (2021) explored the applicability of ERA-5-Land reanalysis data in the Greater Bay Area based on precipitation, and the results showed that ERA-5-Land reanalysis precipitation data could better describe the spatial distribution and temporal variation trend of monthly precipitation. Zhang et al (2021) showed that although ERA-5 reanalysis precipitation data overestimated precipitation, it had high simulation accuracy in the monitoring of drought and heat wave events in South China.…”

Section: Data Sourcesmentioning

confidence: 99%

Comprehensive evaluation of vegetation responses to meteorological drought from both linear and nonlinear perspectives

Zhou

Ding

et al. 2022

Front. Earth Sci.

View full text Add to dashboard Cite

The frequent occurrence of drought events in recent years has caused significant changes in plant biodiversity. Understanding vegetation dynamics and their responses to climate change is of great significance to reveal the behaviour mechanism of terrestrial ecosystems. In this study, NDVI and SIF were used to evaluate the dynamic changes of vegetation in the Pearl River Basin (PRB). The relationship between vegetation and meteorological drought in the PRB was evaluated from both linear and nonlinear perspectives, and the difference of vegetation response to meteorological drought in different land types was revealed. Cross wavelet analysis was used to explore the teleconnection factors (e.g., large-scale climate patterns and solar activity) that may affect the relationship between meteorological drought and vegetation dynamics. The results show that 1) from 2001 to 2019, the vegetation cover and photosynthetic capacity of the PRB both showed increasing trends, with changing rates of 0.055/10a and 0.036/10a, respectively; 2) compared with NDVI, the relationship between SIF and meteorological drought was closer; 3) the vegetation response time (VRT) obtained based on NDVI was mainly 4–5 months, which was slightly longer than that based on SIF (mainly 3–4 months); 4) the VRT of woody vegetation (mainly 3–4 months) was longer than that of herbaceous vegetation (mainly 4–5 months); and 5) vegetation had significant positive correlations with the El Niño Southern Oscillation (ENSO) and sunspots but a significant negative correlation with the Pacific Decadal Oscillation (PDO). Compared with sunspots, the ENSO and the PDO were more closely related to the response relationship between meteorological drought and vegetation. The outcomes of this study can help reveal the relationship between vegetation dynamics and climate change under the background of global warming and provide a new perspective for studying the relationship between drought and vegetation.

show abstract

Performance of ERA5 reanalysis precipitation products in the Guangdong-Hong Kong-Macao greater Bay Area, China

Cited by 36 publications

References 91 publications

Evaluation of IMERG and ERA5 precipitation products over the Mongolian Plateau

Evaluation of IMERG and ERA5 precipitation products over the Mongolian Plateau

A First Evaluation of ERA5-Land Reanalysis Temperature Product Over the Chinese Qilian Mountains

Comprehensive evaluation of vegetation responses to meteorological drought from both linear and nonlinear perspectives

Contact Info

Product

Resources

About