Evaluation of two kernel-driven models for estimating directional brightness temperature in the thermal infrared

2017 ◽  
Author(s):  
Xiangyang Liu ◽  
Bo-Hui Tang ◽  
Hua Wu ◽  
Ronglin Tang ◽  
Zhao-Liang Li ◽  
...  
Keyword(s):  
Brightness Temperature ◽  
Thermal Infrared

scholarly journals Efficient radiative transfer model for thermal infrared brightness temperature simulation in cloudy atmospheres

2020 ◽  
Vol 28 (18) ◽  
pp. 25730
Author(s):  
Wenwen Li ◽  
Feng Zhang ◽  
Yi-Ning Shi ◽  
Hironobu Iwabuchi ◽  
Mingwei Zhu ◽  
...  
Keyword(s):  
Radiative Transfer ◽  
Brightness Temperature ◽  
Thermal Infrared ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Infrared Brightness

scholarly journals Measuring Cloud Cover and Brightness Temperature with a Ground-Based Thermal Infrared Camera

2008 ◽  
Vol 47 (2) ◽  
pp. 683-693 ◽  
Author(s):  
Stephen Smith ◽  
Ralf Toumi
Keyword(s):  
Brightness Temperature ◽  
Cloud Cover ◽  
Infrared Camera ◽  
Thermal Infrared ◽  
Cloud Base ◽  
Clear Sky ◽  
Brightness Temperatures ◽  
External Data ◽  
Infrared Cameras ◽  
Two Parameters

Abstract Thermal infrared cameras can be used to monitor clouds and the sky at high spatial and temporal resolutions. In particular, this study shows that, without the need for any external data, cloud cover can be retrieved both day and night over a field of view extending to zenith angles of ∼80°. Zenith clear sky temperatures are estimated for cloud cover up to 80%. During periods of 50% cloud cover or more the cloud-base brightness temperatures (CBBTs) can be calculated to an accuracy of ±1 K. These calculations are made possible by using a new parameterization for the variation of sky brightness temperature with zenith angle. Both clear and cloudy conditions are found to follow this simple empirical equation more closely than the widely used parameterization of Unsworth and Monteith. A simple, angle-dependent threshold system based on cloud transmittance can then be used to retrieve cloud cover, and clear sky temperature and CBBT are calculated using the two parameters resulting from the fitting process.

scholarly journals Kernel-driven model fitting of multi-angle thermal infrared brightness temperature and its application

2012 ◽  
Vol 30 (4) ◽  
pp. 361-365 ◽  
Author(s):  
Jing-Jing PENG ◽  
Qiang LIU ◽  
Qin-Huo LIU ◽  
Jia-Hong LI ◽  
Hong-Zhang MA ◽  
...  
Keyword(s):  
Brightness Temperature ◽  
Model Fitting ◽  
Thermal Infrared ◽  
Infrared Brightness

Atellitic thermal infrared brightness temperature anomaly image—short-term and impending earthquake precursors

1999 ◽  
Vol 42 (3) ◽  
pp. 313-324 ◽  
Author(s):  
Zuji Qiang ◽  
Changgong Dian ◽  
Lingzhi Li ◽  
Min Xu ◽  
Fengsha Ge ◽  
...  
Keyword(s):  
Brightness Temperature ◽  
Temperature Anomaly ◽  
Thermal Infrared ◽  
Earthquake Precursors ◽  
Short Term ◽  
Infrared Brightness
Sign in / Sign up

Export Citation Format

Share Document