Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Chun-Xiang Shi"'
Publikováno v:
Atmospheric and Oceanic Science Letters, Vol 11, Iss 4, Pp 322-329 (2018)
The ability to estimate terrestrial water storage (TWS) is essential for monitoring hydrological extremes (e.g., droughts and floods) and predicting future changes in the hydrological cycle. However, inadequacies in model physics and parameters, as w
Externí odkaz:
https://doaj.org/article/34495cb6aeeb4451bca7eec05eaf6ad3
Publikováno v:
Advances in Meteorology, Vol 2019 (2019)
Due to limited number of weather stations and interruption of data collection, the temperature field data may be incomplete. In the past, spatial interpolation is usually used for filling the data gap. However, the interpolation method does not work
Externí odkaz:
https://doaj.org/article/7abea8346980453eb577e5edbbb15de2
Publikováno v:
Advances in Meteorology, Vol 2018 (2018)
Soil moisture (SM) is an important physical quantity that can reflect the land surface condition. There are many ways to measure SM, satellite microwave remote sensing is now considered the primary method because it can provide real-time high-resolut
Externí odkaz:
https://doaj.org/article/e023cd40563c442fb6d500a3997104d3
Publikováno v:
Atmosphere, Vol 5, Iss 2, Pp 211-229 (2014)
Although cumulonimbus (Cb) clouds are the main source of precipitation in south China, the relationship between Cb cloud characteristics and precipitation remains unclear. Accordingly, the primary objective of this study was to thoroughly analyze the
Externí odkaz:
https://doaj.org/article/c18eae464b1d485898463bb80468a1fd
Publikováno v:
Sensors, Vol 9, Iss 7, Pp 5558-5579 (2009)
The crowning objective of this research was to identify a better cloud classification method to upgrade the current window-based clustering algorithm used operationally for China’s first operational geostationary meteorological satellite FengYun-2C
Externí odkaz:
https://doaj.org/article/40c4cf71166e4f6b82766ecdaad4b4ca
Publikováno v:
Advances in Meteorology, Vol 2014 (2014)
This paper presents an automated method to track cumulonimbus (Cb) clouds based on cloud classification and characterizes Cb behavior from FengYun-2C (FY-2C). First, a seeded region growing (SRG) algorithm is used with artificial neural network (ANN)
Externí odkaz:
https://doaj.org/article/336f5dbb68964a269f1522864c520808
Publikováno v:
Advances in Meteorology, Vol 2018 (2018)
It is important to eliminate systematic biases in the field of soil moisture data assimilation. One simple method for bias removal is to match cumulative distribution functions (CDFs) of modeled soil moisture data to satellite soil moisture data. Tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53c265a28d2c781a4b67104c7d484db0
https://doi.org/10.1155/2018/1908570
https://doi.org/10.1155/2018/1908570
Publikováno v:
Advances in Meteorology, Vol 2018 (2018)
Soil moisture (SM) is an important physical quantity that can reflect the land surface condition. There are many ways to measure SM, satellite microwave remote sensing is now considered the primary method because it can provide real-time high-resolut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19dbe1fdc9e9b27ee5625f1268cd1532
Autor:
Peng Wang, Hai Bo Huang, Fang Zhou, Ji Xin Chen, Lin Kui Qu, Ming Xin Ren, Song Nan Wang, Chun Xiang Shi, Chun Yang
Publikováno v:
Advanced Materials Research. 893:751-754
sensor used in DC ground fault detection system according to measurement method can be divided into low frequency AC signal detecting and DC signal detecting of leakage current . It greatly affect the accuracy of the earth fault signal because of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce05697eb67395f8a1909810229c0f3a
https://doi.org/10.4028/www.scientific.net/amr.893.751
https://doi.org/10.4028/www.scientific.net/amr.893.751
Publikováno v:
Sensors (Basel, Switzerland)
Sensors; Volume 9; Issue 7; Pages: 5558-5579
Sensors, Vol 9, Iss 7, Pp 5558-5579 (2009)
Sensors; Volume 9; Issue 7; Pages: 5558-5579
Sensors, Vol 9, Iss 7, Pp 5558-5579 (2009)
The crowning objective of this research was to identify a better cloud classification method to upgrade the current window-based clustering algorithm used operationally for China’s first operational geostationary meteorological satellite FengYun-2C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a906d8a397e58e0ddef0e82c337b572d
https://doi.org/10.3390/s90705558
https://doi.org/10.3390/s90705558