Inter-Calibrating SMMR, SSM/I and SSMI/S Data to Improve the Consistency of Snow-Depth Products in China
نویسندگان
چکیده
Long-term snow depth/snow water equivalent (SWE) products derived from passive microwave remote sensing data are fundamental for climatological and hydrological studies. However, the temporal continuity of the products is affected by the updating or replacement of passive microwave sensors or satellite platforms. In this study, we inter-calibrated brightness temperature (Tb) data obtained from the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMI/S). Then, we evaluated the consistency of the snow cover area (SCA) and snow depth derived from the Scanning Multichannel Microwave Radiometer (SMMR), SSM/I and SSMI/S. The results indicated that (1) the spatial pattern of the SCA derived from the SMMR and SSM/I data was more consistent after calibration than before; (2) the relative biases in the SCA and snow depth in China between the SSM/I and SSMI/S data decreased from 42.42% to 1.65% and from 66.18% to −1.5%, respectively; and (3) the SCA and snow depth derived from the SSM/I data carried on F08, F11 and F13 were highly consistent. To obtain consistent snow depth and SCA products, inter-sensor calibrations between SMMR, SSM/I and SSMI/S are important. In OPEN ACCESS Remote Sens. 2015, 7 7213 consideration of the snow data product continuation, we suggest that the brightness temperature data from all sensors be calibrated based on SSMI/S.
منابع مشابه
AMSR - E Algorithm Theoretical Basis Document : Sea Ice Products
The AMSR-E sea ice standard level 3 products include sea ice concentration, sea ice temperature, and snow depth on sea ice. The AMSR-E standard sea ice concentration product is generated using the enhanced NASA Team (NT2) algorithm described by Markus and Cavalieri (2000), the snow depth is produced from the algorithm described by Markus and Cavalieri (1998) for both hemispheres, but excluding ...
متن کاملExploitation of microwave sounder/imager data over land surfaces in the presence of clouds and precipitation SAF-HYDROLOGY, Final Report
Observations from SSMI/S are still not as intensively used in NWP as are observations from other microwave sensors. Despite their large information content, these observations are still insufficiently used. Some feasibility studies have been conducted within the ECMWF assimilation system as preliminary steps to use SSMI/S observations over land and under cloudy/rainy situations. New development...
متن کاملSystematic Structuring of the Business Domain of Local Mobile Apps Stores Using Soft Systems Methodology (SSM)
Due to the global competitive environment in the mobile app market, traditional problem-solving methods in examining the problem of accepting stores offering these digital products have ignored the important role of human factors and therefore this weakness necessitates research on relevant policies by governing bodies from another perspective based on a soft systems thinking approach. This pro...
متن کاملInter-Calibration of Passive Microwave Satellite Brightness Temperatures Observed by F13 SSM/I and F17 SSMIS for the Retrieval of Snow Depth on Arctic First-Year Sea Ice
Passive microwave satellite brightness temperatures (TB) that were observed by the F13 Special Sensor Microwave/Imager (SSM/I) and the subsequent F17 Special Sensor Microwave Imager/Sounder (SSMIS) were inter-calibrated using empirical relationship models during their overlap period. Snow depth (SD) on the Arctic first-year sea ice was further retrieved. The SDs derived from F17 TB and F13C TB ...
متن کاملTrends in the sea ice cover using enhanced and compatible AMSR-E, SSM/I, and SMMR data
[1] Arguably, the most remarkable manifestation of change in the polar regions is the rapid decline in the Arctic perennial ice cover. Changes in the global sea ice cover, however, have been more modest, being only slightly negative in the Northern Hemisphere and even slightly positive in the Southern Hemisphere, the significance of which has not been adequately assessed because of unknown erro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Remote Sensing
دوره 7 شماره
صفحات -
تاریخ انتشار 2015