scholarly journals A comparison of sea surface temperatures from microwave remote sensing of the Labrador Sea with in situ measurements and model simulations

2006 ◽  
Vol 111 (C12) ◽  
Author(s):  
William J. Emery ◽  
Peter Brandt ◽  
Andreas Funk ◽  
Claus Böning
Keyword(s):  
Remote Sensing ◽  
Microwave Remote Sensing ◽  
In Situ Measurements ◽  
Sea Surface ◽  
Labrador Sea ◽  
Sea Surface Temperatures ◽  
Model Simulations ◽  
Surface Temperatures

scholarly journals ESTIMATION OF SURFACE SNOW WETNESS USING SENTINEL-2 MULTISPECTRAL DATA

2018 ◽  
Vol IV-5 ◽  
pp. 223-228 ◽  
Author(s):  
D. Varade ◽  
O. Dikshit
Keyword(s):  
Remote Sensing ◽  
Water Resource Management ◽  
Remote Sensing Data ◽  
Microwave Remote Sensing ◽  
In Situ Measurements ◽  
Physical Relationship ◽  
Sensing Data ◽  
Surface Snow ◽  
Sentinel 2

<p><strong>Abstract.</strong> Snow cover characterization and estimation of snow geophysical parameters is a significant area of research in water resource management and surface hydrological processes. With advances in spaceborne remote sensing, much progress has been achieved in the qualitative and quantitative characterization of snow geophysical parameters. However, most of the methods available in the literature are based on the microwave backscatter response of snow. These methods are mostly based on the remote sensing data available from active microwave sensors. Moreover, in alpine terrains, such as in the Himalayas, due to the geometrical distortions, the missing data is significant in the active microwave remote sensing data. In this paper, we present a methodology utilizing the multispectral observations of Sentinel-2 satellite for the estimation of surface snow wetness. The proposed approach is based on the popular triangle method which is significantly utilized for the assessment of soil moisture. In this case, we develop a triangular feature space using the near infrared (NIR) reflectance and the normalized differenced snow index (NDSI). Based on the assumption that the NIR reflectance is linearly related to the liquid water content in the snow, we derive a physical relationship for the estimation of snow wetness. The modeled estimates of snow wetness from the proposed approach were compared with in-situ measurements of surface snow wetness. A high correlation determined by the coefficient of determination of 0.94 and an error of 0.535 was observed between the proposed estimates of snow wetness and in-situ measurements.</p>

Long-term comparison of satellite and in-situ sea surface temperatures around the Korean Peninsula

2015 ◽  
Vol 50 (1) ◽  
pp. 109-117 ◽  
Author(s):  
Myeong-Taek Kwak ◽  
Gwang-Ho Seo ◽  
Yang-Ki Cho ◽  
Bong-Guk Kim ◽  
Sung Hyup You ◽  
...  
Keyword(s):  
Korean Peninsula ◽  
Sea Surface ◽  
Sea Surface Temperatures ◽  
Surface Temperatures

scholarly journals Intensity of Hydrological Cycles in Warmer Climates

2003 ◽  
Vol 16 (14) ◽  
pp. 2419-2423 ◽  
Author(s):  
Fanglin Yang ◽  
Arun Kumar ◽  
Michael E. Schlesinger ◽  
Wanqiu Wang
Keyword(s):  
Numerical Model ◽  
Hydrological Cycle ◽  
Radiative Heating ◽  
Sea Surface ◽  
Sea Surface Temperatures ◽  
Model Simulations ◽  
Surface Warming ◽  
Surface Temperatures ◽  
Hydrological Cycles

Abstract The fact that the surface and tropospheric temperatures increase with increasing CO2 has been well documented by numerical model simulations; however, less agreement is found for the changes in the intensity of precipitation and the hydrological cycle. Here, it is demonstrated that while both the radiative heating by increasing CO2 and the resulting higher sea surface temperatures contribute to warm the atmosphere, they act against each other in changing the hydrological cycle. As a consequence, in a warmer climate forced by increasing CO2 the intensity of the hydrological cycle can be either more or less intense depending upon the degree of surface warming.

Remote sensing of the Indo-Pacific region: ocean colour, sea level, winds and sea surface temperatures

2004 ◽  
Vol 25 (7-8) ◽  
pp. 1423-1435 ◽  
Author(s):  
Raghu Murtugudde ◽  
Liping Wang ◽  
Eric Hackert ◽  
James Beauchamp ◽  
James Christian ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Sea Level ◽  
Sea Surface ◽  
Pacific Region ◽  
Sea Surface Temperatures ◽  
Ocean Colour ◽  
Surface Temperatures

Evolution of Water Vapor Concentrations and Stratospheric Age of Air in Coupled Chemistry-Climate Model Simulations

2007 ◽  
Vol 64 (3) ◽  
pp. 905-921 ◽  
Author(s):  
John Austin ◽  
John Wilson ◽  
Feng Li ◽  
Holger Vömel
Keyword(s):  
Water Vapor ◽  
Greenhouse Gas ◽  
Climate Model ◽  
Sea Surface ◽  
Time Slice ◽  
Sea Surface Temperatures ◽  
Model Simulations ◽  
Stratospheric Water Vapor ◽  
Surface Temperatures ◽  
Climate Model Simulations

Abstract Stratospheric water vapor concentrations and age of air are investigated in an ensemble of coupled chemistry-climate model simulations covering the period from 1960 to 2005. Observed greenhouse gas concentrations, halogen concentrations, aerosol amounts, and sea surface temperatures are all specified in the model as time-varying fields. The results are compared with two experiments (time-slice runs) with constant forcings for the years 1960 and 2000, in which the sea surface temperatures are set to the same climatological values, aerosol concentrations are fixed at background levels, while greenhouse gas and halogen concentrations are set to the values for the relevant years. The time-slice runs indicate an increase in stratospheric water vapor from 1960 to 2000 due primarily to methane oxidation. The age of air is found to be significantly less in the year 2000 run than the 1960 run. The transient runs from 1960 to 2005 indicate broadly similar results: an increase in water vapor and a decrease in age of air. However, the results do not change gradually. The age of air decreases significantly only after about 1975, corresponding to the period of ozone reduction. The age of air is related to tropical upwelling, which determines the transport of methane into the stratosphere. Oxidation of increased methane from enhanced tropical upwelling results in higher water vapor amounts. In the model simulations, the rate of increase of stratospheric water vapor during the period of enhanced upwelling is up to twice the long-term mean. The concentration of stratospheric water vapor also increases following volcanic eruptions during the simulations.

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