التفاصيل البيبلوغرافية
| العنوان: |
Multi-LEO Satellite Stereo Winds |
| المؤلفون: |
James L. Carr, Dong L. Wu, Mariel D. Friberg, Tyler C. Summers |
| المصدر: |
Remote Sensing; Volume 15; Issue 8; Pages: 2154 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2023 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
3D-winds, atmospheric motion vectors (AMVs), MODIS, SLSTR, stereo imaging, parallax, LiDAR, polar clouds, planetary boundary layer, polar circulation |
| جغرافية الموضوع: |
agris |
| الوصف: |
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 the observed parallax between viewing perspectives provides information about the height. The stereo-winds method requires no prior assumptions about the thermal profile of the atmosphere to assign a wind height, since the height of the tracked feature is directly determined from the viewing geometry. The method is well developed for pairs of Geostationary (GEO) satellites and a GEO paired with a Low Earth Orbiting (LEO) satellite. However, neither GEO-GEO nor GEO-LEO configurations provide coverage of the poles. In this paper, we develop the stereo-winds method for multi-LEO configurations, to extend coverage from pole to pole. The most promising multi-LEO constellation studied consists of Terra/MODIS and Sentinel-3/SLSTR. Stereo-wind products are validated using clear-sky terrain measurements, spaceborne LiDAR, and reanalysis winds for winter and summer over both poles. Applications of multi-LEO polar stereo winds range from polar atmospheric circulation to nighttime cloud identification. Low cloud detection during polar nighttime is extremely challenging for satellite remote sensing. The stereo-winds method can improve polar cloud observations in otherwise challenging conditions. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
Atmospheric Remote Sensing; https://dx.doi.org/10.3390/rs15082154 |
| DOI: |
10.3390/rs15082154 |
| الاتاحة: |
https://doi.org/10.3390/rs15082154 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: |
edsbas.B0C8BEDF |
| قاعدة البيانات: |
BASE |