A Lut-Based Method to Estimate Clear-Sky Instantaneous Land Surface Shortwave Downward Radiation and its Direct Component from Modis Data

2019 ◽  
Author(s):  
Yuechi Yu ◽  
Tianxing Wang ◽  
Jiancheng Shi ◽  
Wang Zhou
Keyword(s):  
Land Surface ◽  
Modis Data ◽  
Direct Component ◽  
Clear Sky ◽  
Downward Radiation

scholarly journals Estimation of Diurnal Cycle of Land Surface Temperature at High Temporal and Spatial Resolution from Clear-Sky MODIS Data

2014 ◽  
Vol 6 (4) ◽  
pp. 3247-3262 ◽  
Author(s):  
Si-Bo Duan ◽  
Zhao-Liang Li ◽  
Bo-Hui Tang ◽  
Hua Wu ◽  
Ronglin Tang ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Spatial Resolution ◽  
Land Surface Temperature ◽  
Diurnal Cycle ◽  
Land Surface ◽  
Modis Data ◽  
Clear Sky ◽  
Temporal And Spatial

Clear-Sky Longwave Downward Radiation Estimation by Integrating MODIS Data and Ground-Based Measurements

2019 ◽  
Vol 12 (2) ◽  
pp. 450-459 ◽  
Author(s):  
Wang Zhou ◽  
Jiancheng Shi ◽  
Tianxing Wang ◽  
Bin Peng ◽  
Rui Zhao ◽  
...  
Keyword(s):  
Modis Data ◽  
Clear Sky ◽  
Downward Radiation

scholarly journals Modeling Year-to-Year Variations of Clear-Sky Land Surface Temperature Using Aqua/MODIS Data

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 114541-114553
Author(s):  
Zefeng Xing ◽  
Yanru Yu ◽  
Si-Bo Duan ◽  
Zhao-Liang Li ◽  
Maofang Gao ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Modis Data ◽  
Clear Sky

Reconstructing daily clear-sky land surface temperature for cloudy regions from MODIS data

2017 ◽  
Vol 105 ◽  
pp. 10-20 ◽  
Author(s):  
Liang Sun ◽  
Zhongxin Chen ◽  
Feng Gao ◽  
Martha Anderson ◽  
Lisheng Song ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Modis Data ◽  
Clear Sky

scholarly journals Estimation of clear-sky land surface longwave radiation from MODIS data products by merging multiple models

2012 ◽  
Vol 117 (D22) ◽  
pp. n/a-n/a ◽  
Author(s):  
Haoran Wu ◽  
Xiaotong Zhang ◽  
Shunlin Liang ◽  
Hua Yang ◽  
Gongqi Zhou
Keyword(s):  
Land Surface ◽  
Longwave Radiation ◽  
Multiple Models ◽  
Modis Data ◽  
Clear Sky ◽  
Data Products

scholarly journals Summertime Continental Shallow Cumulus Cloud Detection Using GOES-16 Satellite and Ground-Based Stereo Cameras at the DOE ARM Southern Great Plains Site

2021 ◽  
Vol 13 (12) ◽  
pp. 2309
Author(s):  
Jingjing Tian ◽  
Yunyan Zhang ◽  
Stephen A. Klein ◽  
Likun Wang ◽  
Rusen Öktem ◽  
...  
Keyword(s):  
Great Plains ◽  
Land Surface ◽  
Detection Threshold ◽  
Department Of Energy ◽  
Surface Reflectance ◽  
Cloud Detection ◽  
Southern Great Plains ◽  
Clear Sky ◽  
Shallow Cumulus ◽  
Stereo Cameras

Summertime continental shallow cumulus clouds (ShCu) are detected using Geostationary Operational Environmental Satellite (GOES)-16 reflectance data, with cross-validation by observations from ground-based stereo cameras at the Department of Energy Atmospheric Radiation Measurement Southern Great Plains site. A ShCu cloudy pixel is identified when the GOES reflectance exceeds the clear-sky surface reflectance by a reflectance detection threshold of ShCu, ΔR. We firstly construct diurnally varying clear-sky surface reflectance maps and then estimate the ∆R. A GOES simulator is designed, projecting the clouds reconstructed by stereo cameras towards the surface along the satellite’s slanted viewing direction. The dynamic ShCu detection threshold ΔR is determined by making the GOES cloud fraction (CF) equal to the CF from the GOES simulator. Although there are temporal variabilities in ΔR, cloud fractions and cloud size distributions can be well reproduced using a constant ΔR value of 0.045. The method presented in this study enables daytime ShCu detection, which is usually falsely reported as clear sky in the GOES-16 cloud mask data product. Using this method, a new ShCu dataset can be generated to bridge the observational gap in detecting ShCu, which may transition into deep precipitating clouds, and to facilitate further studies on ShCu development over heterogenous land surface.

scholarly journals A Simple Method for Converting 1-km Resolution Daily Clear-Sky LST into Real LST

2020 ◽  
Vol 12 (10) ◽  
pp. 1641
Author(s):  
Yunfei Zhang ◽  
Yunhao Chen ◽  
Jing Li ◽  
Xi Chen
Keyword(s):  
Land Surface ◽  
Missing Values ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Shortwave Radiation ◽  
Simple Method ◽  
The Real ◽  
Independent Variables ◽  
Clear Sky ◽  
Reconstruction Methods

Land-surface temperature (LST) plays a key role in the physical processes of surface energy and water balance from local through global scales. The widely used one kilometre resolution daily Moderate Resolution Imaging Spectroradiometer (MODIS) LST product has missing values due to the influence of clouds. Therefore, a large number of clear-sky LST reconstruction methods have been developed to obtain spatially continuous LST datasets. However, the clear-sky LST is a theoretical value that is often an overestimate of the real value. In fact, the real LST (also known as cloudy-sky LST) is more necessary and more widely used. The existing cloudy-sky LST algorithms are usually somewhat complicated, and the accuracy needs to be improved. It is necessary to convert the clear-sky LST obtained by the currently better-developed methods into cloudy-sky LST. We took the clear-sky LST, cloud-cover duration, downward shortwave radiation, albedo and normalized difference vegetation index (NDVI) as five independent variables and the real LST at the ground stations as the dependent variable to perform multiple linear regression. The mean absolute error (MAE) of the cloudy-sky LST retrieved by this method ranged from 3.5–3.9 K. We further analyzed different cases of the method, and the results suggested that this method has good flexibility. When we chose fewer independent variables, different clear-sky algorithms, or different regression tools, we also achieved good results. In addition, the method calculation process was relatively simple and can be applied to other research areas. This study preliminarily explored the influencing factors of the real LST and can provide a possible option for researchers who want to obtain cloudy-sky LST through clear-sky LST, that is, a convenient conversion method. This article lays the foundation for subsequent research in various fields that require real LST.

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