Clouds play a key role in balancing incoming and outgoing solar and thermal radiation. This is a critical process in the earth-atmosphere system. Monitoring cloud height, particle size, particle concentration, etc. are integral to understanding climate dynamics and global climate change. These physical attributes determine the radiative forcing effect of a cloud, or how much incoming radiation that a cloud reflects back to space. Satellites and ground-based radar can measure the cloud top height (CTH). However, inconsistencies exist between various satellites and radar data due to different detection methods and algorithms used to process raw information.
To quantify these conflicts, Bo Liu, jointly supervised by Dr. Juan Huo and Prof. Daren Lyu from Institute of Atmospheric Physics, Chinese Academy of Sciences, compared CTH data between the FY-4A and Himawari-8 satellites as well as data from ground-based millimeter-wave radar sites in Yangbajing, Tibet (YBJ) and in Beijing. Known as the "Roof of the World", the Tibet Plateau provides an ideal location for satellite meteorologists to study. The vast region features high elevation, ideal atmospheric conditions to observe CTH, and sparse weather reporting stations, which is optimal for testing large quantities of satellite data. China's meteorological satellite FY-4A and Japan's Himawari-8 satellite are geostationary satellites both equipped with an advanced radiation imager, which provides a wealth of CTH data.
Results from high-level cloud analysis suggests that the observed CTH difference between radar and satellite data increases gradually with an increase of surface temperature. This indicates that surface temperature, which affects satellite data retrieval accuracy, may be a key factor causing the regional discrepancy between Beijing and YBJ, which is 4300m above sea level. The average CTH differences, measured in kilometers, between radar and satellite data at YBJ were 0.06 km and ?0.02 km, compared to 0.93 km and 0.99 km at Beijing, for FY-4A and Himawari-8, respectively. Thin high-level cirrus clouds show the most CTH variation.
Additionally, at YBJ, the study showed that Himawari-8 missed more nighttime CTH data than FY-4A. That said, statistical results show little difference between FY-4A and Himawari-8 data, although both satellites have different retrieval algorithms. This study presents an initial quantitative comparison of CTH between satellite and ground-based radar over the Tibet Plateau and provides a scientific guidance for application of CTH data.
This work is published online in Advances in Atmospheric Sciences.