Results 51 to 60 of about 1,062 (188)
Statistical description of tropospheric delay for InSAR: Overview and a new model [PDF]
This paper focuses on statistical modeling of water vapor fluctuations for InSAR. The structure function and power spectral density approaches are reviewed, summarizing their assumptions and results. The linking equations between these modeling techniques are reported.
John P. Merryman Boncori, Johan J. Mohr
openaire +1 more source
Forecast‐Error Diagnostics in Neural Weather Models
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan +2 more
wiley +1 more source
Atmospheric water vapor is an essential source of information that predicts global climate change, rainfall, and disaster-natured weather. It is also a vital source of error for Earth observation systems, such as the global navigation satellite system ...
Xu Yang +5 more
doaj +1 more source
ABSTRACT We present experimental results on the relationship between rain attenuation and simultaneous scintillation during rain events, based on beacon signal measurements at 19.7 (Ka‐band) and 39.4 GHz (Q‐band) from the geosynchronous Alphasat satellite (25° E), received at two Italian ground stations, Spino d'Adda (42.1° slant path) and Tito Scalo ...
Miles Turner +5 more
wiley +1 more source
Geodetic VLBI Analysis at the National Geographic Institute of Spain
National Geographic Institute of Spain has a strong background concerning technical aspects of geodetic VLBI. As a step forward in this field, a VLBI analysis team has been set up and tests with different software packages have been carried out.
Víctor Puente +3 more
doaj +1 more source
A Tunable Closed-Form Model for the Structure Function of Tropospheric Delay [PDF]
Several interferometric synthetic aperture radar applications could benefit from the availability of a closed-form model for the second-order statistics of atmospheric delay. Due to the variability of the latter, it would also be desirable for the model to be tunable to some acquisition-specific information, describing the atmospheric state.
John P. Merryman Boncori, Johan J. Mohr
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Abstract This study examines the large‐scale atmospheric response to reduced evapotranspiration during droughts in the Western U.S., using an observation‐based regression method and numerical experiments with a global climate model. We found that Western U.S.
A. C. T. Sena, I. N. Williams
wiley +1 more source
Generation of Meteorological Parameters for Tropospheric Delay on GNSS Signal [PDF]
The GNSS (Global Navigation Satellite System) signal is delayed by the neutral atmosphere at the troposphere, so that the delay is one of major error sources for GNSS precise positioning. The tropospheric delay is an integrated refractive index along the
Sung-Wook Jung +6 more
doaj +1 more source
Empirical modeling of tropospheric delays with uncertainty
Abstract. Accurate modeling of tropospheric delay is important for high-precision data analysis of space geodetic techniques, such as the Global Navigation Satellite System (GNSS). Empirical tropospheric delay models provide zenith delays with an accuracy of 3 to 4 cm globally and do not rely on external meteorological input.
J. Wang +6 more
openaire +4 more sources
Abstract Reducing methane emissions is important for restricting surface temperature increases. However, methane also influences stratospheric ozone, and its recovery, via chemical and radiative processes. Using the United Kingdom Earth System Model's state‐of‐the‐art methane emission‐driven capability, we examine the impact of methane emission ...
James Weber +7 more
wiley +1 more source

