Search Results

You are looking at 1 - 10 of 30 items for :

  • Geographic location/entity x
  • Journal of Atmospheric and Oceanic Technology x
  • All content x
Clear All
Emna Kamli, Cédric Chavanne, and Dany Dumont

is located in the lower St. Lawrence estuary (LSLE; Fig. 3 ), Canada, characterized by a nonuniform and variable thin ice cover (typically 0.1–0.7 m thick; Saucier et al. 2003 ) from January to March. Data acquisition was made during the 2012/13 winter, despite the fact this winter represented the sixth lowest ice volume since 1969 ( Galbraith et al. 2014 ). Fig . 3. (bottom-right insert) Study area with the location of HFR and IML-4 buoy. I.B. denotes Bic Islands. P.M. is for Manicouagan

Full access
Brian D. Dushaw and Hanne Sagen

; discussion of this important aspect of the problem in the context of Fram Strait observations is beyond the scope of this paper. Given the ocean model and moored array scalar data, , obtained at points , the forward problem operator for the moored array is so that the data are modeled as [switching to the matrix notation of Aki and Richards (1980) for the inverse problem] where is the data noise covariance, assumed diagonal. Given scalar data for sound speed at the locations of the moored array

Full access
Michael A. Filimon and Daniel L. Codiga

information for purposes of risk assessment. Fig . 3. Number of potential vessel encounters for repeat-transect MASC sampling. (a) Geographically different transect locations (see Fig. 1 ), for baseline repeat-transect sampling parameters (2.5 m s −1 MASC speed, 10-min station-keep duration, July 2009 historical AIS data) and baseline encounter thresholds (400 m and 2 min). (b) Results for the baseline case but at different one-month intervals (as marked on the horizontal axis), at transect A. (c

Full access
Shuo Ma, Wei Yan, Yunxian Huang, Jun Jiang, Shensen Hu, and Yingqiang Wang


Many quantitative uses of the nighttime imagery provided by low-light sensors, such as the day–night band (DNB) on board the Suomi–National Polar-Orbiting Partnership (SNPP), have emerged recently. Owing to the low nighttime radiance, low-light calibration at night must be investigated in detail. Traditional vicarious calibration methods are based on some targets with nearly invariant surface properties under lunar illumination. However, the relatively stable light emissions may also be used to realize the radiometric calibration under low light. This paper presents a low-light calibration method based on bridge lights, and Visible Infrared Imaging Radiometer Suite (VIIRS) DNB data are used to assess the proposed method. A comparison of DNB high-gain-stage (HGS) radiances over a 2-yr period from August 2012 to July 2014 demonstrates that the predictions are consistent with the observations, and the agreement between the predictions and the observations is on the order of −2.9% with an uncertainty of 9.3% (1σ) for the Hangzhou Bay Bridge and −3.9% with an uncertainty of 7.2% (1σ) for the Donghai Bridge. Such a calibration method based on stable light emissions has a wide application prospect for the calibration of low-light sensors at night.

Full access
Brian J. Butterworth and Scott D. Miller

makes it particularly well suited for examining differences in air–sea fluxes due to temporal changes (e.g., seasonal), geographical area, ecosystem types, and surface conditions (e.g., wind, waves, ice cover). Short-term (1–4 months) ice field stations in the Antarctic have been effectively used to measure turbulent momentum and heat fluxes ( Andreas et al. 2005 ) and carbon dioxide flux ( Zemmelink et al. 2006 ) using EC. A complementary strategy is to deploy EC systems on Antarctic research and

Full access
R. Droghei, B. Buongiorno Nardelli, and R. Santoleri

recovered in September 2013. Each waveglider has one CTD near the surface (~0.5 m) and a second one at 6-m depth. The spatial coverage for each of these datasets in March 2013 is shown in Fig. 4 . Fig . 4. Location of the in situ CTD (blue), drifter (red), TSG (black), and waveglider (green) measurements. b. Satellite SST The satellite SST L4 dataset used is the ODYSSEA version 2 (V2) product developed by the Institut Français de Recherche pour l’Exploitation de la Mer ( Piollé and Autret 2011 ). This

Full access
Mohsen Badiey, Lin Wan, and James F. Lynch

the thermistor farm at 2236:00 UTC 17 Aug 2006. The locations of thermistor farm containing 18 vertical arrays and their labels are represented by small yellow circular with black-numbered dots. Panel (e) shows the interpolated temperature profile between 14 and 40 m in the water column as a function of range during IW propagation through thermistors 54, 15, 12, 9, and 5. The black solid curve in (e) represents the temperature contour at 17°C, which was the temperature at the middle of the

Full access
Evan J. Coopersmith, Michael H. Cosh, and Jennifer M. Jacobs

2008 at some locations. These probes were eventually supplanted by a dielectric probe manufactured by Stevens Water (HydraProbe). The Stevens probes provided regular, automated measurements, beginning in the early 2000s and extending to the present. Figure 1 presents the locations of 19 active sensor installations within the ICN. Monitoring ceased at the Wildlife Prairie Park (Wildlife Park) site in the early 2000s, at which point Big Bend became its replacement—neither is used in the subsequent

Full access
Anne Ru Cheng, Tim Hau Lee, Hsin I. Ku, and Yi Wen Chen

versus the temperature difference pairs are plotted ( Figs. 8 and 9 ). It is observed that the temperature increase on a sunny winter morning, or on a sunny early-spring morning, may approach a change of 12°C. The increase may not exceed 7°C if it rains. On the other hand, an afternoon thunderstorm in the summer may lead to a dramatic drop of the temperature by as much as 12°C. There are no significant differences between the stations in different locations. The dashed segments in Figs. 8 and 9

Full access
Ge Peng, Lei Shi, Steve T. Stegall, Jessica L. Matthews, and Christopher W. Fairall

looking down at the nadir with a swath of 2160 km and a nominal resolution of 20 km. The collocation is carried out picking all HIRS measurements within specified spatial and temporal radii of each SHEBA data point. The choice of radius can be quite arbitrary except for consideration of SHEBA and HIRS temporal and spatial resolutions. The balance to strike is between the number of available collocated records for analysis and HIRS measurements being too far away from the targeted SHEBA location. To

Full access