Vertical Structure and Seasonal Features of the Heat Island and Humidity Distribution over Moscow Derived from Satellite Data

2019 ◽  
Vol 44 (8) ◽  
pp. 571-578 ◽  
Author(s):  
L. I. Alekseeva ◽  
I. A. Gorlach ◽  
A. V. Kislov
2021 ◽  
Author(s):  
Florian Schütte ◽  
Ivy Frenger ◽  
Kristin Burmeister ◽  
Sabrina Speich ◽  
Johannes Karstensen

<p>In ocean research, mesoscale eddies typically are detected through surface signatures based on satellite data. The assumption is that most eddies are surface intensified and have a vertical structure consistent with a surface intensified mode. However, in-situ eddy observations, especially in the tropical oceans, showed that the vertical eddy structure is often more complex than previously assumed (higher baroclinic modes), and a diverse subsurface eddy field is present, which does not show any surface signatures at all. Our objective here is a first step towards a quantification of the occurrence of subsurface relative to surface eddies. To do this, we use an actively eddying model to compare the subsurface eddy field to its surface signatures in order to be able to estimate which vertical eddy structures prevail and how much of the eddy field is hidden in the subsurface. In addition, the model results are compared against an unprecedented assemblage of observations of subsurface eddies in the tropical oceans. In a first step we focus on eddies in the model that are detectable at the surface for more than 120 days. We found that around 60 % of the detected eddies have a vertical structure associated with a surface intensified mode as previously assumed which are characterized by a strong surface signature. Around 40 % of the eddy field have a vertical structure associated to a higher baroclinic mode. They are often called “intrathermocline” eddies and are characterized by a rather weak surface signature. In a second step we track subsurface eddies (lifetime > 120 days) in the model by identifying density layer thickness anomalies and connect them with possible surface signatures. Around 30 % of the total eddy field of the model, are hidden in the subsurface with no detectable surface signature. In conclusion, our results show that subsurface eddies form a substantial contribution to the total eddy field. Consequently it is difficult to estimate the impact of the eddy field on the ocean when only working with surface based satellite data.</p>


Proceedings ◽  
2018 ◽  
Vol 2 (7) ◽  
pp. 358 ◽  
Author(s):  
Gordana Kaplan ◽  
Ugur Avdan ◽  
Zehra Yigit Avdan

Author(s):  
Ravi Kumar ◽  
Anup Kumar

Land surface temperature (LST) represents hotness of the surface of the Earth at a particular location. Land surface temperature is useful for meteorological, climatological changes, heat island, agriculture, hydrological processes at local, regional and global scale. Presently many satellite sensor data are available for calculation of land surface temperature like Landsat 8 and MODIS. In the present study land surface temperature in Panchkula district of Haryana have been calculated using Landsat 8 satellite data of 5th May 2019 and 28th October 2019. Already available equations were used for computation of LST in the study area. LST in the study area varies from 18°C to 56°C. High LST is observed in cultivation land, urban area while low LST is observed in hilly forest area in the study area. In the study validation of LST could not be done because of not available of temperature data of studied dates, however, the result gives idea of land surface temperature on a particular day and location.


2021 ◽  
Vol 977 (11) ◽  
pp. 40-50
Author(s):  
I.D. Akhmedova ◽  
L.D. Sulkarnaeva ◽  
N.V. Zherebyatieva ◽  
A.V. Petukhova

The authors present the results of mapping the “heat island” surface in the city of Tyumen and determining its spatial and seasonal manifestations using the Landsat-8 satellite data. Geothermic scenes of four seasons were obtained and analyzed


2020 ◽  
Vol 45 (7) ◽  
pp. 488-497
Author(s):  
M. А. Lokoshchenko ◽  
E. A. Enukova

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