Temporal Variations of Surface and Atmosphere Characteristics in Taklamakan Desert From Amsr2 Observations

Taklamakan is the second largest shifting sand desert in the world and a major source of dust aerosols in East Asia. The time series of GCOM-W1 AMSR2 brightness temperatures T B s were constructed over the Tazhong weather station (39.00° N, 83.40° E, elevation H =1100 m) in Taklamakan desert for the...

Full description

Saved in:
Bibliographic Details
Main Authors: Mitnik, Leonid, Kuleshov, Vladimir, Mitnik, Maia, Khazanova, Elena
Format: Conference Proceeding
Language:English
Subjects:
air surface temperature
AMSR2
Brightness temperature
brightness temperature variability
Land surface
Land surface temperature
microwave radiometry
Ocean temperature
Remote sensing
Sea surface
Taklamakan desert
Temperature measurement
Temperature sensors
time series
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Taklamakan is the second largest shifting sand desert in the world and a major source of dust aerosols in East Asia. The time series of GCOM-W1 AMSR2 brightness temperatures T B s were constructed over the Tazhong weather station (39.00° N, 83.40° E, elevation H =1100 m) in Taklamakan desert for the period 1 January 2015 - 31 December, 2016. T B s were analyzed together with the time series of meteorological variables: air pressure, temperature and humidity, measured 8 times per a day. The AMSR2 sensing was performed on the ascending (A) and descending (D) orbits at approximately 1:30 PM and 1:30 AM (local time), which is close to the daily maximum and minimum air surface temperature T air , respectively. Land surface temperature was not measured. The T B s were averaged each day separately for ascending and descending orbits. The seasonal, synoptic, and diurnal T B variations differ significantly with frequency and polarization. The influence of the variations of atmosphere parameters and the surface emissivity on T B s was estimated by numerical integrating of the microwave radiation transfer equation in the atmosphere-underlying surface system The linear regression equations T air = F[T B (ν)] were derived and the T air retrieval errors were estimated. The proposed method of T air estimating can be applied in areas with different physical-geographic conditions, including Greenland and Antarctica, as well as for external calibration of satellite microwave radiometers.
ISSN:2153-7003
DOI:10.1109/IGARSS.2019.8900524