Results 81 to 90 of about 749,960 (137)
TU Wien is developing a new model for correcting path delays of optical signals (e.g. SLR observations) causedby the neutral atmosphere. The model is called Vienna Mapping Functions 3 - optical (VMF3o) and is focusingon new coefficients for hydrostatic ...
Böhm, Johannes +2 more
core +2 more sources
The Implementation of Precise Point Positioning (PPP): A Comprehensive Review. [PDF]
Elsheikh M +3 more
europepmc +1 more source
VMF3o: the Vienna Mapping Functions for optical frequencies. [PDF]
Boisits J, Landskron D, Böhm J.
europepmc +1 more source
Long-sequence deep learning frameworks for multivariate forecasting of tropospheric parameters
This contribution presents the first multivariate deep learning frameworks for jointly forecasting four tropospheric parameters using nine long-sequence architectures representing Transformer, Convolutional Neural Network (CNN), Recurrent Neural Network (
Mert Bezcioglu, Bezcioğlu, Mert
core +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
Estimating daily potential evapotranspiration using GNSS-based precipitable water vapor. [PDF]
Pipatsitee P +4 more
europepmc +1 more source
A Regional NWP Tropospheric Delay Inversion Method Based on a General Regression Neural Network Model. [PDF]
Li L, Xu Y, Yan L, Wang S, Liu G, Liu F.
europepmc +1 more source
GPS-Derived zenith tropospheric delay assimilation into numeric atmosphere model
© 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
Ionospheric and Neutrosphere Impacts on Multi-GNSS Kinematic PPP During Geomagnetic Storms: A Global Study. [PDF]
Zaupa JPV +8 more
europepmc +1 more source

