Calibrating FY4A QPE using CMPA over Yunnan–Kweichow Plateau in summer 2019

Lu, Hanyu; Huang, Ziyue; Ding, Leiding; Lu, Tianjian; Yuan, Yongyi

doi:10.1080/22797254.2021.1960202

Cited by 7 publications

(5 citation statements)

References 24 publications

(27 reference statements)

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“…The topography of the YGP, with an elevation ranging from 400 to 3500 m, stepped decreases from northwest to southeast (Figure 1). The YGP is a humid subtropical region with a subtropical monsoon climate and is characterized by high mountains, deep valleys, highly dense mountain streams and most abundant types of forest vegetation in China [21]. The climate in this region has significant spatial variability due to the different topographical characteristics and atmospheric circulation conditions.…”

Section: Study Area and Data Descriptionmentioning

confidence: 99%

Section: Study Area and Data Descriptionmentioning

confidence: 99%

“…Due to the influence of YGP, the structure of the Kunming quasi stationary front is different from a general cold front in temperature field, humidity field, and other aspects. The present climate of the region is a subtropical plateau climate with an average annual precipitation of 1006 mm and a mean annual temperature of 14.7℃, but it is unevenly distributed in time and space [16,21]. In this study, the original datasets of daily maximum and minimum temperatures from 1960 to 2019 for 68 weather stations were provided by the National Meteorological Information Center of China (http://www.nmic.cn/, accessed on 10 November 2020).…”

Section: Study Area and Data Descriptionmentioning

confidence: 99%

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Analysis of Extreme Temperature Variations on the Yunnan-Guizhou Plateau in Southwestern China over the Past 60 Years

et al. 2022

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Analysis of variations in 12 extreme temperature indices at 68 meteorological stations on the Yunnan-Guizhou Plateau (YGP) in southwestern China during 1960–2019 revealed widespread significant changes in all temperature indices. The temperature of the hottest days and coldest nights show significantly increasing trends, and the frequencies of the warm days and nights also present similar trends. The temperature of the coldest night has a significant and strong warming trend (0.38 °C/decade), whereas the frequency of frost days shows the fastest decrease (1.5 days/decade). Increases in the summer days are statistically significant, while a decreasing trend for the diurnal temperature range is not significant. Furthermore, there were significant differences in the changes of temperature indices between 1960–1989 and 1990–2019. Most parts of the YGP underwent significant warning, manifesting that the mountainous regions are relatively sensitive and vulnerable to climate change. The correlation coefficients between the temperature indices and various geographical factors (latitude, longitude, and height) reflect the complexity of regional temperature variability and indicate enhanced sensitivity of extreme temperatures to geographical factors on the YGP. It was also found that extreme temperatures generally had weaker correlations with the El Nino-Southern Oscillation, North Pacific Index, Southern Oscillation Index, North Atlantic Oscillation, and East Asian Summer Monsoon Index than with the South Asian summer monsoon index, Nino4 indices and Arctic Oscillation, and there were more insignificant correlations. Regional trends of the extreme temperature indices reflect the non-uniform temperature change over the YGP, which is due to the complex interaction between atmospheric circulation patterns and local topography. The results of this study have important practical significance for mitigating the adverse effects of extreme climatic changes, in particular for the YGP with its typical karst geomorphology and fragile ecological environment.

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Section: Study Area and Data Descriptionmentioning

confidence: 99%

Section: Study Area and Data Descriptionmentioning

confidence: 99%

Section: Study Area and Data Descriptionmentioning

confidence: 99%

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Analysis of Extreme Temperature Variations on the Yunnan-Guizhou Plateau in Southwestern China over the Past 60 Years

et al. 2022

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“…In recent years, there have been numerous studies on applicability analysis in China (Table A1). We can see that most of the applicability analysis studies have short time series [2,12,13,17,18,[32][33][34][35][36][37][38][39][40][41][42][43], generally around 5 years. There are also some studies with long time series [44][45][46][47][48], but most of them focus on monthly and annual scales.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Applicability of Three Precipitation Products, IMERG, GSMaP, and ERA5, in China over the Last Two Decades

Zhou,

Ning,

et al. 2023

Remote Sensing

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The accuracy of gridded precipitation products is uncertain in different temporal and spatial dimensions. Analyzing the applicability of precipitation products is a prerequisite before applying them to hydrometeorological and other related research. In this study, we selected three gridded precipitation products, Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG), Global Satellite Mapping of Precipitation (GSMaP), and the fifth generation of atmospheric reanalysis of the European Centre for Medium-Range Weather Forecasts (ERA5), including their data from 2001 to 2020. Using the data from 699 ground observation stations, we evaluated the applicability of these three precipitation products in China. Based on five statistical and five classification indicators, we first assessed the applicability of the three precipitation products on daily, monthly, and annual time scales, respectively, and then evaluated their applicability in different spatial dimensions, including basins, agriculture, and geomorphology. The results showed that: (1) IMERG data had the best accuracy on annual and monthly time scales, with both correlation coefficient (CC) values greater than 0.95 and Kling–Gupta efficiency (KGE) values greater than 0.90. On a daily time scale, the accuracy of all three precipitation products differed when statistical or categorical indicators were considered alone. However, the applicability of IMERG data was best among the three precipitation products when both types of indicators were considered. (2) The accuracy of the three precipitation products gradually decreased along the southeast–northwest direction. The applicability of ERA5 data was better in northern regions than in other regions in China, especially in arid and semi-arid regions in northern China. The applicability of IMERG data was better in southern regions with more precipitation and in high-altitude regions than in other regions in China. (3) The applicability of the three precipitation products in plain areas was generally better than in mountain areas. Among them, ERA5 data were more accurate in plain areas, while IMERG data were more accurate in mountain areas. This study can provide a reference for the selection of data sources of gridded precipitation products in different time scales and spatial dimensions in China.

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“…For instance, FY-4A exhibited contrasting behavior, overestimating moderate-to-high rainfall rates ranging from 10 to 40 mm/h, while underestimating the highest rainfall values. Recent studies have documented similarly low overall performance results (low CC, POD, and mKGE) of the FY-4A precipitation estimate, not only over Vietnam but also over Japan and China [27,45,46]. In Figure 3, specifically panels c and d, it becomes apparent that the two satellites attribute the highest intensity rainfall to different regions within the cloud system: FY-4A predominantly assigns these intensities to the center or upper right of the storm core, whereas GK-2A focuses on the outer ring.…”

Section: Discussionmentioning

confidence: 99%

The Extreme Rainfall Events of the 2020 Typhoon Season in Vietnam as Seen by Seven Different Precipitation Products

Roversi,

Pancaldi,

Cossich

et al. 2024

Remote Sensing

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A series of typhoons and tropical storms have produced extreme precipitation events in Vietnam during the first part of the 2020 monsoon season: events of this magnitude pose significant challenges to remote sensing Quantitative Precipitation Estimation (QPE) techniques. The weather-monitoring needs of modern human activities require that these challenges be overcome. In order to address this issue, in this work, seven precipitation products were validated with high spatial and temporal detail against over 1200 rain gauges in Vietnam during six case studies tailored around the most intense events of 2020. The data sources included the Vietnamese weather radar network, IMERG Early run and Final run, the South Korean GEO-KOMPSAT-2A and Chinese FengYun-4A geostationary satellites, DPR on board the GPM-Core Observatory, and European ERA5-Land reanalysis. All products were resampled to a standardized 0.02∘ grid and compared at hourly scale with ground stations measurements. The results indicated that the radars product was the most capable of reproducing the information collected by the rain gauges during the selected extreme events, with a correlation coefficient of 0.70 and a coefficient of variation of 1.38. However, it exhibited some underestimation, approximately 30%, in both occurrence and intensity. Conversely, geostationary products tended to overestimate moderate rain rates (FY-4A) and areas with low precipitation (GK-2A). More complex products such as ERA5-Land and IMERG failed to capture the highest intensities typical of extreme events, while GPM-DPR showed promising results in detecting the highest rain rates, but its capability to observe isolated events was limited by its intermittent coverage.

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Calibrating FY4A QPE using CMPA over Yunnan–Kweichow Plateau in summer 2019

Cited by 7 publications

References 24 publications

Analysis of Extreme Temperature Variations on the Yunnan-Guizhou Plateau in Southwestern China over the Past 60 Years

Analysis of Extreme Temperature Variations on the Yunnan-Guizhou Plateau in Southwestern China over the Past 60 Years

Assessing the Applicability of Three Precipitation Products, IMERG, GSMaP, and ERA5, in China over the Last Two Decades

The Extreme Rainfall Events of the 2020 Typhoon Season in Vietnam as Seen by Seven Different Precipitation Products

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