Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tyler C. Summers"'
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1133 (2024)
Fast atmospheric processes such as deep convection and severe storms are challenging to observe and understand without adequate spatiotemporal sampling. Geostationary (GEO) imaging has the advantage of tracking these fast processes continuously at a
Externí odkaz:
https://doaj.org/article/6d5be21c7a9b40b3a5a1492baf90255c
Autor:
Dong L. Wu, Nimalan Swarnalingam, Cornelius Csar Jude H. Salinas, Daniel J. Emmons, Tyler C. Summers, Robert Gardiner-Garden
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3245 (2023)
GNSS-LEO radio links from Precise Orbital Determination (POD) and Radio Occultation (RO) antennas have been used increasingly in characterizing the global 3D distribution and variability of ionospheric electron density (Ne). In this study, we develop
Externí odkaz:
https://doaj.org/article/2b546426f89a4b7883022b2d1ebdf141
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 2154 (2023)
The stereo-winds method follows trackable atmospheric cloud features from multiple viewing perspectives over multiple times, generally involving multiple satellite platforms. Multi-temporal observations provide information about the wind velocity and
Externí odkaz:
https://doaj.org/article/ccbdc28e9c534b4abfba915e635fb53d
Autor:
Gardiner-Garden, Dong L. Wu, Nimalan Swarnalingam, Cornelius Csar Jude H. Salinas, Daniel J. Emmons, Tyler C. Summers, Robert
Publikováno v:
Remote Sensing; Volume 15; Issue 13; Pages: 3245
GNSS-LEO radio links from Precise Orbital Determination (POD) and Radio Occultation (RO) antennas have been used increasingly in characterizing the global 3D distribution and variability of ionospheric electron density (Ne). In this study, we develop