scholarly journals Accuracy assessment and error cause analysis of GPM (V06) in Xiangjiang river catchment

2021 ◽  
Author(s):  
Bingru Tian ◽  
Hua Chen ◽  
Jialing Wang ◽  
Chong-Yu Xu
Keyword(s):  
Rain Gauge ◽  
Precipitation Intensity ◽  
Intensity Level ◽  
Total Precipitation ◽  
Rain Gauge Station ◽  
Xiangjiang River ◽  
River Catchment ◽  
Satellite Precipitation ◽  
Gauge Station ◽  
The Impact

Abstract Application potential and development prospect of satellite precipitation products such as Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Mission (GPM) have promising implications. This study discusses causes of spatiotemporal differences on GPM data through the following steps: Initially, calculate bias between satellite-based data and rain gauge data of Xiangjiang river catchment to assess the accuracy of GPM (06E, 06 L, and 06F) products. Second, total errors of satellite precipitation data are divided into hit bias (HBIAS: precipitation detected by both GPM and rain gauge station), missed precipitation (MBIAS: precipitation detected only by rain gauge station), and false precipitation (FBIAS: precipitation detected only by GPM). Third, evaluate the impact of precipitation intensity and total precipitation on accuracy of GPM data and their influence on three error components. Several conclusions are drawn from the results above: (1) Satellite-based precipitation measurements perform better on a larger temporal-spatial scale. (2) The accuracy of TRMM and GPM data displays significant variances on space and time. Season, precipitation intensity, and total precipitation are main factors influencing the accuracy of TRMM and GPM data. (3) The detection capability of satellite products change with seasonal variation and different precipitation intensity level.

scholarly journals Intervention Analysis of Urbanization Effect on Rainfall Data at the Seoul Rain Gauge Station

2007 ◽  
Vol 40 (8) ◽  
pp. 629-641 ◽  
Author(s):  
Chul-Sang Yoo ◽  
Dae-Ha Kim ◽  
Sang-Hyoung Park ◽  
Byung-Su Kim ◽  
Chang-Yeol Park
Keyword(s):  
Rain Gauge ◽  
Rainfall Data ◽  
Intervention Analysis ◽  
Rain Gauge Station ◽  
Urbanization Effect ◽  
Gauge Station

scholarly journals Tracking the error sources of spatiotemporal differences in TRMM accuracy using error decomposition method

2018 ◽  
Vol 49 (6) ◽  
pp. 1960-1976 ◽  
Author(s):  
Jialing Wang ◽  
Hua Chen ◽  
Chong-Yu Xu ◽  
Qiang Zeng ◽  
Qingjing Wang ◽  
...  
Keyword(s):  
High Intensity ◽  
Decomposition Method ◽  
High Elevation ◽  
Precipitation Intensity ◽  
Xiangjiang River ◽  
Satellite Precipitation ◽  
Low Intensity ◽  
Error Components ◽  
Error Decomposition ◽  
Precipitation Events

Abstract Tropical Rainfall Measuring Mission (TRMM) products are widely utilized, but the causes of the differences in their spatiotemporal accuracy require further investigation to improve satellite precipitation estimation. In this study, the spatiotemporal accuracy of TRMM 3B42 V7 data was systematically evaluated using the rain gauge data of the densely gauged Xiangjiang River basin, a humid region in South China. The effects of the precipitation intensity and elevation on different error components derived from the error decomposition method were analysed to reveal the causes of spatiotemporal differences of the data errors. The results showed the following. (1) TRMM performs better in the wet season than in the dry season, and it underestimates precipitation in winter and in high-elevation areas. (2) Precipitation intensity directly influences the occurrence and magnitude of error components. Most of the missed precipitation (precipitation detected only by rain-gauged data) and false precipitation (precipitation detected only by TRMM data) occur in low-intensity precipitation events. Hit events (precipitation detected by both TRMM and rain-gauged data) tend to overestimate low-intensity precipitation and underestimate high-intensity precipitation. Elevation has no direct relation with daily bias, but affects the distribution of occurrence and intensity of precipitation events. (3) Missed precipitation is the main contributing source of error in winter. The negative error increases in high-elevation areas, which is contributed by the larger proportion of high intensity hit precipitation and the missed events. This study is not only beneficial for understanding the effect of topography and climate factors on the accuracy of TRMM precipitation data but also provides a reference for the application and error improvement of satellite precipitation products.

Comparison of TRMM Data with Rain Gauge Observations in the Upper Huaihe River Basin of China

2013 ◽  
Vol 726-731 ◽  
pp. 3385-3390
Author(s):  
Josephine Osei-Kwarteng ◽  
Qiong Fang Li ◽  
Kwaku Amaning Adjei
Keyword(s):  
Hydrological Modeling ◽  
Tropical Rainfall Measuring Mission ◽  
Rain Gauge ◽  
Rain Gauge Station ◽  
Huaihe River ◽  
Resources Management ◽  
Sustainable Water Resources Management ◽  
Rain Gage ◽  
Gauge Station ◽  
Trmm 3B42

In this study, the Tropical Rainfall Measuring Mission (TRMM) version 7 satellite rainfall product, TRMM 3B42 (V7), was validated using rain gauge measurements in the Upper Huaihe Basin, China. This validation was carried out at monthly and annual temporal scales for an 11-year period using four selected grids with six, four, two and one rain gauge station (s) located within the TRMM grid respectively; the rain gage measurements for grids with more than one rain gauge were averaged. This study found that the validation of the TRMM dataset in grids where there were adequate rain gauge were present to capture the distributed and stochastic nature of rainfall with very good correlation (0.87-0.94) and with very little relative bias when the rain gage accumulations were compared with the TRMM estimates. From the study we found that the TRMM dataset can be used as precipitation input for hydrological modeling at monthly and annual scales for sustainable water resources management in the Upper Huaihe River and even in un-gaged or sparsely gaged basins in other parts of the world.

scholarly journals Contamination Vulnerability Analysis of Watershed for Water Quality Monitoring

2016 ◽  
Vol 20 (1) ◽  
Author(s):  
Widyastuti Widyastuti ◽  
Slamet Suprayogi
Keyword(s):  
Water Quality ◽  
Land Surface ◽  
Water Quality Monitoring ◽  
Vulnerability Index ◽  
Rain Gauge ◽  
Vulnerability Analysis ◽  
Quality Monitoring ◽  
Neural Network Modeling ◽  
Rain Gauge Station ◽  
Gauge Station

This research is an early step to determine the location of rain gauge station for artificial neural network modeling. The implementation of this model is very useful for water quality monitoring. The objectives of this study are: 1) to study the distribution of watershed parameter, that are average annual precipitation, land use and land-surface slope, 2) to conduct vulnerability analysis of watershed contamination, 3) to determine the location of rain gauge station. The study was performed by weighing and rating method of watershed parameters. The vulnerability degree of watershedtocontaminationispresentedasvulnerabilityindex.Thisindexisdeterminedbyoverallsumofallmultiplication between score and weigh number of each parameter. All data manipulation and data analysis were performed by using Geographic Information System (ArcView version by 3.2). The vulnerability of watershed contamination map had been generated using overlay operation of parameters. The results show that vulnerability index are varies between 10 up to 40 intervals. Hence, the indexes were categorized into three levels of watershed vulnerability, namely low (10 – 20), moderate (20 – 30) and high (30 – 40). It is found that the study area covered more by high vulnerability of watershed to contamination. The zoning of watershed vulnerability meant to determine the rain gauge location. There are three rain gauge stations on the area that they are in a high vulnerability level, whereas the other vulnerability level area has one rain gauge station. Each level of vulnerability area is able to represent the source of contaminant that it maybe influence the water quality of Gajahwong river.

scholarly journals Toward a practical approach for ergodicity analysis

2015 ◽  
Vol 2 (5) ◽  
pp. 1425-1446 ◽  
Author(s):  
H. Wang ◽  
C. Wang ◽  
Y. Zhao ◽  
X. Lin ◽  
C. Yu
Keyword(s):  
Time Series ◽  
Yellow River ◽  
Rain Gauge ◽  
Ergodic Property ◽  
Practical Approach ◽  
Function Evaluation ◽  
Rain Gauge Station ◽  
Gauge Station ◽  
Mean Ergodicity ◽  
The Mean

Abstract. It is of importance to perform hydrological forecast using a finite hydrological time series. Most time series analysis approaches presume a data series to be ergodic without justifying this assumption. This paper presents a practical approach to analyze the mean ergodic property of hydrological processes by means of autocorrelation function evaluation and Augmented Dickey Fuller test, a radial basis function neural network, and the definition of mean ergodicity. The mean ergodicity of precipitation processes at the Lanzhou Rain Gauge Station in the Yellow River basin, the Ankang Rain Gauge Station in Han River, both in China, and at Newberry, MI, USA are analyzed using the proposed approach. The results indicate that the precipitations of March, July, and August in Lanzhou, and of May, June, and August in Ankang have mean ergodicity, whereas, the precipitation of any other calendar month in these two rain gauge stations do not have mean ergodicity. The precipitation of February, May, July, and December in Newberry show ergodic property, although the precipitation of each month shows a clear increasing or decreasing trend.

scholarly journals Does More Moisture in the Atmosphere Lead to More Intense Rains?

2021 ◽  
Author(s):  
Agostino Manzato
Keyword(s):  
Precipitable Water ◽  
Rain Gauge ◽  
Rain Gauge Station ◽  
Scatter Plot ◽  
North East ◽  
Station Data ◽  
Gauge Station ◽  
Friuli Venezia Giulia

Abstract It is typically interpreted that more moisture in the atmosphere leads to more intense rains. This notion may be supported, for example, by taking a scatter plot between rain and column precipitable water. The present paper suggests, however, that the main consequence of intense rains with more moistures in the atmosphere is that there is a more chance to happen, rather than of an increase in the expected magnitude. This tendency equally applies to any rains above 1 mm/6h to a lesser extent. The result is derived from an analysis of 33 local rain–gauge station data and a shared sounding over Friuli Venezia Giulia, North–East Italy.

DAMPAK PROGRAM DIKLAT ONLINE TIK GURU PUSTEKKOM TERHADAP AKSESBILITAS KONTEN PEMBELAJARAN PADA FITUR RUMAH BELAJAR

2018 ◽  
Vol 19 (2) ◽  
pp. 84
Author(s):  
Eni Susilawati
Keyword(s):  
Teacher Training ◽  
Quantitative Research ◽  
Online Training ◽  
Research Approach ◽  
Intensity Level ◽  
Web Based ◽  
Learning Content ◽  
Open Questions ◽  
Ict Training ◽  
The Impact

The research objective is to analyze the impact of the participation of online  ICT teacher training to increase the number of accessibility the learning content of features in Rumah Belajar. This research used the quantitative research approach with descriptive quantitative analysis methods to be able to describe how the increase in accessibility features of Rumah Belajar and utilization in learning in school. Samples were selected in this study are all online training participants at 15 locations online training that has been conducted by Pustekkom in 2015 and 2016 in 2015. The data was collected using a questionnaire and a list of open questions in accordance with the purpose of research. The results showed that 1) online ICT teacher training participants, after completing the Pustekkom  training online  using become more motivated to access other feature in Rumah Belajar; 2) The order of the percentage of the intensity level of accessibility to the other features of Rumah Belajar are: Sumber Belajar 23%, BSE 23%, Bank Soal 21%, Kelas Maya 13%, Lab Maya 6%, Karya Guru 4%, Wahana Jelajah Angkasa 4%, Peta Budaya 4% and Karya Komunitas 2%, and ICT training online using the application PKB Rumah Belajar can be used as a reference for efforts to develop a web-based learning applications, in particular for the development of Rumah belajar portal belongs Pustekkom Kemendikbud. Tujuan penelitian yaitu untuk menganalisis dampak keikutsertaan diklat online  TIK guru Belajar terhadap peningkatan jumlah aksebilitas konten pembelajaran pada fitur-fitur rumah belajar. Penelitian ini menggunakan pendekatan penelitian kuantitatif dengan metode analisis kuantitatif secara deskriptif untuk bisa menggambarkan bagaimana peningkatan aksesbilitas fitur-fitur rumah belajar dan pemanfaatannya dalam pembelajaran di sekolah. Sampel yang dipilih dalam penelitian ini adalah semua peserta diklat online  pada 15 lokasi diklat online yang telah dilaksanakan oleh Pustekkom pada tahun 2015 dan 2016. Pengumpulan data menggunakan kuesioner dan daftar pertanyaan terbuka sesuai dengan tujuan penelitian. Hasil penelitian menunjukkan bahwa 1) peserta diklat online TIK Guru, setelah mengikuti diklat online Pustekkom, menjadi lebih termotivasi untuk mengakses fitur-fitur lainnya dalam Rumah Belajar; 2) Urutan prosentase tingkat intensitas aksesbilitas terhadap fitur-fitur Rumbel selain Pengembangan Keprofesian berkelanjutan (PKB) adalah: Sumber Belajar 23%, Buku Sekolah Elektronik (BSE) 23%, Bank Soal 21%, Kelas Maya 13%, Lab Maya 6%, Karya Guru 4%, Wahana Jelajah Angkasa 4%, Peta Budaya 4% dan Karya Komunitas 2%; dan 3) diklat online TIK menggunakan aplikasi PKB. Rumah belajar bisa dijadikan referensi bagi upaya pengembangan aplikasi pembelajaran berbasis web, khususnya bagi pengembangan portal Rumah Belajar milik Pustekkom Kemendikbud.

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