scholarly journals On Performance of S-band FMCW Radar for Atmospheric Measurements

10.5772/8320 ◽  
2009 ◽  
Author(s):  
Turker Ince
Keyword(s):  
Atmospheric Measurements ◽  
Fmcw Radar

scholarly journals Review article: Performance assessment of radiation-based field sensors for monitoring the water equivalent of snow cover (SWE)

2021 ◽  
Vol 15 (11) ◽  
pp. 5079-5098
Author(s):  
Alain Royer ◽  
Alexandre Roy ◽  
Sylvain Jutras ◽  
Alexandre Langlois
Keyword(s):  
Performance Assessment ◽  
Snow Cover ◽  
Snow Depth ◽  
Cosmic Ray ◽  
Retrieval Algorithm ◽  
Atmospheric Measurements ◽  
Fmcw Radar ◽  
Remote Areas ◽  
Wave Radar ◽  
Wide Range

Abstract. Continuous and spatially distributed data of snow mass (water equivalent of snow cover, SWE) from automatic ground-based measurements are increasingly required for climate change studies and for hydrological applications (snow hydrological-model improvement and data assimilation). We present and compare four new-generation sensors, now commercialized, that are non-invasive and based on different radiations that interact with snow for SWE monitoring: cosmic-ray neutron probe (CRNP), gamma ray monitoring (GMON) scintillator, frequency-modulated continuous-wave radar (FMCW radar) at 24 GHz and global navigation satellite system (GNSS) receivers (GNSSr). All four techniques have relatively low power requirements, provide continuous and autonomous SWE measurements, and can be easily installed in remote areas. A performance assessment of their advantages, drawbacks and uncertainties is discussed from experimental comparisons and a literature review. Relative uncertainties are estimated to range between 9 % and 15 % when compared to manual in situ snow surveys that are also discussed. Results show the following. (1) CRNP can be operated in two modes of functioning: beneath the snow, it is the only system able to measure very deep snowpacks (> 2000 mm w.e.) with reasonable uncertainty across a wide range of measurements; CRNP placed above the snow allows for SWE measurements over a large footprint (∼ 20 ha) above a shallow snowpack. In both cases, CRNP needs ancillary atmospheric measurements for SWE retrieval. (2) GMON is the most mature instrument for snowpacks that are typically up to 800 mm w.e. Both CRNP (above snow) and GMON are sensitive to surface soil moisture. (3) FMCW radar needs auxiliary snow-depth measurements for SWE retrieval and is not recommended for automatic SWE monitoring (limited to dry snow). FMCW radar is very sensitive to wet snow, making it a very useful sensor for melt detection (e.g., wet avalanche forecasts). (4) GNSSr allows three key snowpack parameters to be estimated simultaneously: SWE (range: 0–1000 mm w.e.), snow depth and liquid water content, according to the retrieval algorithm that is used. Its low cost, compactness and low mass suggest a strong potential for GNSSr application in remote areas.

Atmospheric measurements from satellites

1969 ◽  
Author(s):  
R. RADOS
Keyword(s):  
Atmospheric Measurements

Analysis of Near-Surface Atmospheric Measurements Obtained During CBLAST-LOW

2007 ◽  
Author(s):  
James B. Edson
Keyword(s):  
Atmospheric Measurements ◽  
Near Surface

Analysis of Near-Surface Atmospheric Measurements Obtained During CBLAST-LOW

2006 ◽  
Author(s):  
James B. Edson
Keyword(s):  
Atmospheric Measurements ◽  
Near Surface

Atmospheric Measurements and the Indirect Climatic Effects of Aerosols

2002 ◽  
Author(s):  
John H. Seinfeld
Keyword(s):  
Atmospheric Measurements ◽  
Climatic Effects

Estimating Regional Methane Emissions Through Atmospheric Measurements and Inverse Modeling.

2019 ◽  
Author(s):  
Cosmin Safta ◽  
Ray Bambha ◽  
Hope Michelsen
Keyword(s):  
Inverse Modeling ◽  
Methane Emissions ◽  
Atmospheric Measurements

S-Band FMCW Radar Measurements of Ocean Surface Dynamics

1995 ◽  
Vol 12 (6) ◽  
pp. 1271-1286 ◽  
Author(s):  
E. M. Poulter ◽  
M. J. Smith ◽  
J. A. McGregor
Keyword(s):  
Ocean Surface ◽  
Surface Dynamics ◽  
Fmcw Radar ◽  
Radar Measurements

Predistorter based K-band FMCW radar for vehicle speed detection

2016 ◽  
Author(s):  
Hilmi Ozturk ◽  
Korkut Yegin
Keyword(s):  
Vehicle Speed ◽  
Fmcw Radar ◽  
K Band

A Study of an X-band FMCW Radar for Small Object Detection

2021 ◽  
Author(s):  
Tripop Tongboonsong ◽  
Akkarat Boonpoonga ◽  
Kittisak Phaebua ◽  
Titipong Lertwiriyaprapa ◽  
Lakkhana Bannawat
Keyword(s):  
Object Detection ◽  
Small Object ◽  
Fmcw Radar ◽  
X Band ◽  
Small Object Detection
Sign in / Sign up

Export Citation Format

Share Document