Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Zhizhao Liu"'
Autor:
Jiafei Xu, Zhizhao Liu
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
The Global Precipitation Measurement (GPM) Microwave Imager (GMI) is a microwave (MW) radiometer that has near-global coverage and frequent revisit time. To date, operational total column water vapor (TCWV) data records from the GPM GMI sensor have b
Externí odkaz:
https://doaj.org/article/7644b163473840efb9db00c6335ef998
Autor:
Jiafei Xu, Zhizhao Liu
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 19, Pp n/a-n/a (2024)
Abstract The magnitude of integrated water vapor (IWV) varies considerably in the spatial‐temporal domain, which demonstrates the significance of high‐spatiotemporal‐resolution IWV observations for atmospheric water vapor distribution monitorin
Externí odkaz:
https://doaj.org/article/027d8a9dc1194895903a7e0018bebafe
Autor:
Jiafei Xu, Zhizhao Liu
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103787- (2024)
Precise precipitable water vapor (PWV) observations play a crucially important role in weather and climate research. The Atmospheric Infrared Sounder (AIRS) on-board the Aqua spacecraft is a hyperspectral instrument that offers operational PWV produc
Externí odkaz:
https://doaj.org/article/f399d976e97245b98bde157cb1389008
Publikováno v:
Earth and Space Science, Vol 11, Iss 3, Pp n/a-n/a (2024)
Abstract Atmospheric wet delay caused by Precipitable Water Vapor (PWV) significantly impacts the performance of many geodetic surveying systems such as Global Navigation Satellite System (GNSS). In this study, we use wet delay corrections forecast b
Externí odkaz:
https://doaj.org/article/26b2c51f77e14043ac141de9a07ab800
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 17, Pp n/a-n/a (2023)
Abstract Precipitable water vapor (PWV) is one of the crucial driving forces for tropical cyclone (TC) genesis. Under the impact of global warming, TCs have changed their way to concentrate PWV from the ambient atmosphere. This study starts with the
Externí odkaz:
https://doaj.org/article/e1aa09c21e7144b4b76e1107a91541de
Autor:
Jiafei Xu, Zhizhao Liu
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 14, Pp n/a-n/a (2023)
Abstract High‐quality precipitable water vapor (PWV) measurements have an essential role in climate change and weather prediction studies. The Atmospheric Infrared Sounder (AIRS) instrument provides an opportunity to measure PWV at infrared (IR) ba
Externí odkaz:
https://doaj.org/article/70e85635e60447c3a60da030a3395f64
Autor:
Jiafei Xu, Zhizhao Liu
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8744-8758 (2022)
We performed a thorough validation of the precipitable water vapor (PWV) products from near-infrared bands of very similar instruments, i.e., Moderate Resolution Imaging Spectroradiometer (MODIS) and advanced Medium Resolution Spectral Imager (MERSI-
Externí odkaz:
https://doaj.org/article/4bb44f45a802459e88fa900c52a21ccb
Autor:
Jiafei Xu, Zhizhao Liu
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 7929-7951 (2022)
Precipitable water vapor (PWV) products derived from the near-infrared (NIR) channels of the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments, onboard Aqua and Terra satellites, were calibrated using a linear differential PWV (Linear
Externí odkaz:
https://doaj.org/article/961ecda5b7e94a18a43366cfd4333017
Autor:
Jiafei Xu, Zhizhao Liu
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 114, Iss , Pp 103050- (2022)
Four novel PWV retrieval approaches based on machine learning methods are for the first time developed to estimate all-weather precipitable water vapor (PWV) from near-infrared (NIR) measurements of the Moderate Resolution Imaging Spectroradiometer (
Externí odkaz:
https://doaj.org/article/987007e7943b4fcb9c9930dc86a58589
Autor:
Shiwei Yu, Zhizhao Liu
Publikováno v:
Satellite Navigation, Vol 2, Iss 1, Pp 1-18 (2021)
Abstract The ionospheric effect plays a crucial role in the radio communications. For ionospheric observing and monitoring, the Global Navigation Satellite System (GNSS) has been widely utilized. The ionospheric condition can be characterized by the
Externí odkaz:
https://doaj.org/article/e6e123c0d48042c187788a9429060b69