Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Dekai Lu"'
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1237 (2023)
The Integrated Multi-satellitE Retrievals for the Global Precipitation Measurement (IMERG) provides new-generation satellite precipitation datasets with high spatio-temporal resolution and accuracy, which is widely applied in hydrology and meteorolog
Externí odkaz:
https://doaj.org/article/f64883e4c19e46c6b1da812e93a63835
Autor:
Zehui Zhou, Bin Yong, Jiufu Liu, Aimin Liao, Niu Wang, Ziwei Zhu, Dekai Lu, Wang Li, Jianyun Zhang
Publikováno v:
Advances in Meteorology, Vol 2019 (2019)
As a tipping bucket rain gauge, the HOBO Data Logging Rain Gauge RG3-M (RG3-M) has been widely used for the field precipitation observation owing to its superiority of independent power supply by a small portable battery. To quantify the measurement
Externí odkaz:
https://doaj.org/article/e621fe848be64d91a7749126a9d35d3e
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 141 (2020)
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 (GSM
Externí odkaz:
https://doaj.org/article/b66a9a45d77a4439949f3af899136b7a
Publikováno v:
Remote Sensing, Vol 11, Iss 7, p 862 (2019)
With the warming of the global climate, the mass loss of the Greenland ice sheet is intensifying, having a profound impact on the rising of the global sea level. Here, we used Gravity Recovery and Climate Experiment (GRACE) RL06 data to retrieve the
Externí odkaz:
https://doaj.org/article/ec46ebf74fff4acbb000b1f1f48a48dc
Publikováno v:
Remote Sensing, Vol 10, Iss 12, p 2022 (2018)
Satellite precipitation products provide alternative precipitation data in mountain areas. This study aimed to assess the performance of the latest Global Precipitation Measurement (GPM) Integrated Multi-satellite Retrievals for GPM (IMERG) version 5
Externí odkaz:
https://doaj.org/article/ed6787d1f7c3441784ff2e302bafc7da
Publikováno v:
Pure and Applied Geophysics. 176:2565-2579
This study uses the daily horizontal and vertical Global Positioning System (GPS) position time series of 41 regionally distributed GPS stations in Southern California covering the period of January 2011 to January 2017 to extract the common mode err
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e3b7e7c3beae6b1249ec9ba9d61a404
https://doi.org/10.1007/s00024-018-2074-8
https://doi.org/10.1007/s00024-018-2074-8
Publikováno v:
Journal of Geodynamics. 111:43-49
Singular spectrum analysis (SSA) is a non-parametric method, which outperforms least-squares fitting (LSF) in extracting amplitude and phase varying seasonal oscillations in GPS observations. Meanwhile, it is well known that the variations of regiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a4e4c5489b92aeda5af2a59cc385fbd
https://doi.org/10.1016/j.jog.2017.07.001
https://doi.org/10.1016/j.jog.2017.07.001
Publikováno v:
Advances in Space Research. 60:587-596
The 0.5° × 0.5° gridded hydrological loading from Global Land Surface Discharge Model (LSDM) mass distributions is adopted for 32 GPS sites on the Eurasian plate from January 2010 to January 2014. When the heights of these sites that have been cor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42b9737952ebf3815533e3fe73dd1c64
https://doi.org/10.1016/j.asr.2017.04.023
https://doi.org/10.1016/j.asr.2017.04.023
Publikováno v:
Remote Sensing, Vol 11, Iss 7, p 862 (2019)
Remote Sensing
Volume 11
Issue 7
Pages: 862
Remote Sensing
Volume 11
Issue 7
Pages: 862
With the warming of the global climate, the mass loss of the Greenland ice sheet is intensifying, having a profound impact on the rising of the global sea level. Here, we used Gravity Recovery and Climate Experiment (GRACE) RL06 data to retrieve the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7dc60b45a8d2be9e3bb9f1f52463e37
https://www.mdpi.com/2072-4292/11/7/862
https://www.mdpi.com/2072-4292/11/7/862
Autor:
Jiufu Liu, Wang Li, Zehui Zhou, Ziwei Zhu, Bin Yong, Dekai Lu, Aimin Liao, Wang Niu, Zhang Jianyun
Publikováno v:
Advances in Meteorology, Vol 2019 (2019)
As a tipping bucket rain gauge, the HOBO Data Logging Rain Gauge RG3-M (RG3-M) has been widely used for the field precipitation observation owing to its superiority of independent power supply by a small portable battery. To quantify the measurement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8c79826ba22a9dcaa94cd6d912840bc
https://doaj.org/article/e621fe848be64d91a7749126a9d35d3e
https://doaj.org/article/e621fe848be64d91a7749126a9d35d3e