A New PatchTST-ZTD Forecasting Model Based on Different Global Climates and Its Performance in PPP
Accurate modeling of zenith tropospheric delay (ZTD) is crucial for real-time high-precision positioning in global navigation satellite systems (GNSS). Deep learning methods are capable of effectively capturing the complex temporal patterns of ZTD time ...
Zhiping Chen +9 more
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Assessment of ZTD Derived from COSMIC Occultation Data with ECWMF, Radiosondes, and GNSS. [PDF]
Fu N +8 more
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Estimating daily potential evapotranspiration using GNSS-based precipitable water vapor. [PDF]
Pipatsitee P +4 more
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Ingestion of GNSS-Derived ZTD and PWV for Spatial Interpolation of PM2.5 Concentration in Central and Southern China. [PDF]
Wei P, Xie S, Huang L, Liu L.
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Testing Variational Bias Correction of Satellite Radiance Data in the ACCESS-C: Australian Convective-Scale NWP System. [PDF]
Samrat NH, Smith F, Lee J, Smith A.
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Stratospheric ozone, UV radiation, and climate interactions. [PDF]
Bernhard GH +5 more
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Improving precise point positioning performance based on Prophet model. [PDF]
Liao S, Yang C, Li D.
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Optimizing Global Navigation Satellite Systems network real-time kinematic infrastructure for homogeneous positioning performance from the perspective of tropospheric effects. [PDF]
Yu C, Penna NT, Li Z.
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Latitude impact on pandemic Sars-Cov-2 2020 outbreaks and possible utility of UV indexes in predictions of regional daily infections and deaths. [PDF]
Nandin de Carvalho H.
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Aviation Contrail Cirrus and Radiative Forcing Over Europe During 6 Months of COVID-19. [PDF]
Schumann U +4 more
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