GNSS 对流层水汽监测研究进展与展望
姚宜斌， 赵庆志 - 测绘学报, 2022 - xb.chinasmp.com
对流层是近地空间环境中与人类活动联系最为密切的大气层, 而水汽是低层大气圈中最重要的
组成部分之一. 尽管水汽在对流层中所占比例较小, 但在一系列天气和多种气候变化中都扮演着 …
组成部分之一. 尽管水汽在对流层中所占比例较小, 但在一系列天气和多种气候变化中都扮演着 …
[HTML][HTML] 地基GNSS 大气水汽探测遥感研究进展和展望
张克非， 李浩博， 王晓明， 朱丹彤， 何琦敏， 李龙江… - 2022 - xb.chinasmp.com
大气水汽是表征极端天气事件和气候变化的重要参数, 准确监测与分析水汽含量对于精准预测各
类灾害性天气事件与研究气候变化具有显著意义. 作为新兴的大气水汽探测方法, GNSS …
类灾害性天气事件与研究气候变化具有显著意义. 作为新兴的大气水汽探测方法, GNSS …
A GRASS GIS scripting framework for monitoring changes in the ephemeral salt lakes of Chotts Melrhir and Merouane, Algeria
P Lemenkova - Applied System Innovation, 2023 - mdpi.com
Automated classification of satellite images is a challenging task that enables the use of
remote sensing data for environmental modeling of Earth's landscapes. In this document, we …
remote sensing data for environmental modeling of Earth's landscapes. In this document, we …
A new cumulative anomaly-based model for the detection of heavy precipitation using GNSS-derived tropospheric products
In recent years, tropospheric products obtained from ground-based global navigation
satellite system (GNSS) measurements, especially the zenith total delay (ZTD) and …
satellite system (GNSS) measurements, especially the zenith total delay (ZTD) and …
A novel rainfall forecast model using GNSS observations and CAPE in Singapore
Z Liu, Y Wen, X Zhang, M Wang, S Xiao, Y Chen… - Journal of Atmospheric …, 2023 - Elsevier
Precipitable water vapor (PWV) and zenith total delay (ZTD) are highly correlated indicators
used for forecasting rainfall effectively. These two factors are widely used when establishing …
used for forecasting rainfall effectively. These two factors are widely used when establishing …
Investigating the inter-relationships among multiple atmospheric variables and their responses to precipitation
In this study, a comprehensive investigation into the inter-relationships among twelve
atmospheric variables and their responses to precipitation was conducted. These variables …
atmospheric variables and their responses to precipitation was conducted. These variables …
Improving the accuracy and spatial resolution of precipitable water vapor dataset using a neural network-based downscaling method
Precipitable water vapor (PWV) is a crucial variable in water and energy transfers between
the surface and atmosphere, and it is sensitive to climate and environmental changes …
the surface and atmosphere, and it is sensitive to climate and environmental changes …
A comprehensive study on factors affecting the calibration of potential evapotranspiration derived from the Thornthwaite Model
Potential evapotranspiration (PET) is generally estimated using empirical models; thus, how
to improve PET estimation accuracy has received widespread attention in recent years …
to improve PET estimation accuracy has received widespread attention in recent years …
A novel hybrid intelligent approach for solar photovoltaic power prediction considering UV index and cloud cover
The power generation from photovoltaic plants depends on varying meteorological
conditions. These meteorological conditions such as solar irradiance, temperature, and wind …
conditions. These meteorological conditions such as solar irradiance, temperature, and wind …
[HTML][HTML] Modeling of residual GNSS station motions through meteorological data in a machine learning approach
Long-term Global Navigation Satellite System (GNSS) height residual time series contain
signals that are related to environmental influences. A big part of the residuals can be …
signals that are related to environmental influences. A big part of the residuals can be …