Results 51 to 60 of about 763,719 (165)
Abstract Sparse reference station networks and severe geomagnetic disturbances can significantly degrade the accuracy of regional ionospheric delay modeling at the network side, thereby reducing the positioning performance of PPP‐RTK. To address this issue, this study proposes a machine learning‐based ionospheric delay grid modeling method that finely ...
Linyu He +6 more
wiley +1 more source
Abstract Current Mars thermospheric temperatures databases have course temporal resolution due to either a lack of data or a need to average over several orbits of data, preventing the study of short‐term, rapid changes to the Mars thermosphere. In this study, we present a new Mars thermosphere temperature database derived from individual orbits of ...
N. B. Pickett +6 more
wiley +1 more source
Simpler UNBab Mapping Function For Global Positioning System (GPS) Thopospheric Delay [PDF]
The UNBab(E)mapping function models should be simplified 10 allow fatter calculation and also better undemanding of the models. Many modern mapping function models use mapping functions in the form of continued fractions which is quite tedious in ...
Sakidin, Hamzah, Tay, Choo Chuan
core +1 more source
MSWD: A Hybrid Machine‐Learning Framework for Slant Wet Delay Modeling
Abstract Space geodetic techniques such as Global Navigation Satellite Systems (GNSS) and Very Long Baseline Interferometry (VLBI) are limited by direction‐dependent tropospheric delays, with slant wet delay (SWD) being the most variable component and a major error source.
Zhenyi Zhang, Benedikt Soja
wiley +1 more source
The data consists of a set of meteorological quantities including tropospheric delays (zenith wet delay, zenith hydrostatic delay, and zenith total delay), precipitable water vapor, and surface temperature and pressure.
Zheng Yuxin, Lu Cuixian, Wu Zhilu
core +1 more source
High-spatial-resolution mapping of precipitable water vapour using SAR interferograms, GPS observations and ERA-Interim reanalysis [PDF]
A high spatial and temporal resolution of the precipitable water vapour (PWV) in the atmosphere is a key requirement for the short-scale weather forecasting and climate research.
W. Tang, M. Liao, L. Zhang, W. Li, W. Yu
doaj +1 more source
Abstract Global Navigation Satellite Systems (GNSS) provide continuous measurements of zenith wet delay (ZWD), reflecting column‐integrated atmospheric water vapor. While the slowly varying ZWD is routinely assimilated in numerical weather prediction, the rapid fluctuations on timescales of seconds to minutes that arise from boundary‐layer turbulence ...
Gaël Kermarrec +3 more
wiley +1 more source
Abstract Shelf seas are important for the economy and the carbon cycle, but shelf sea observations for carbon pools are often sparse or highly uncertain. An alternative can be provided by carbon reanalyses (whether assimilating proxy variables, such as chlorophyll‐a $a$, or directly carbon), but these are often expensive to run.
Jozef Skákala
wiley +1 more source
GPS-Derived zenith tropospheric delay assimilation into numeric atmosphere model [PDF]
© 2014 SPIE. The total zenith tropospheric delay (ZTD) is an important parameter of the atmosphere and directly or indirectly reflects the weather processes and variations.
Khutorova O. +3 more
core
Modeling and Modification of Global Positioning System Tropospheric Delay Mapping Function [PDF]
The accuracy of Global Positioning System (GPS) measurement is determined by the sum of several sources of error, such as orbit error, satellite clock error, multipath error, receiver noise error, selective availability, ephemeris error and also ...
Sakidin, Hamzah
core +1 more source

