Environmental Data Records From FengYun-3B Microwave Radiation Imager

Microwave Radiation Imagers (MWRIs) onboard the FengYun (FY)-3A/B satellites of China Meteorological Administration were launched on May 28, 2008, and November 5, 2010, respectively. They both observe the Earth atmosphere and land surface at 10.65, 18.7, 23.8, 36.5, and 89.0 GHz with dual polarization. After extensive on-orbit calibrations, the MWRI Level-1 data were collocated in space and time with the data from Aqua Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E), F18 Special Sensor Microwave Imager Sounder (SSMIS), and Tropical Rainfall Measuring Mission Microwave Imager for cross-calibration. A forward radiative transfer model was used to simulate the clear sky brightness temperatures at the MWRI frequencies over ocean. The differences between MWRI observations and model simulations, referred to as “O-A,” and the double difference results from pairs of MWRI and AMSR-E were examined. Comparing to the biases between AMSR-E/SSMIS measurements and model simulations, the biases for MWRI are small and stable. Atmospheric and surface geophysical parameters are retrieved from MWRI observations using the heritage algorithms. It is shown that these environmental data records from MWRI are comparable with those similar data products from AMSR-E and SSMIS. Their biases from each other seemed to be minimal.

[1]  Fuzhong Weng,et al.  Special Sensor Microwave Imager (SSM/I) Intersensor Calibration Using a Simultaneous Conical Overpass Technique , 2011 .

[2]  Tong Zhu,et al.  Satellite Data Assimilation in Numerical Weather Prediction Models. Part II: Uses of Rain-Affected Radiances from Microwave Observations for Hurricane Vortex Analysis , 2007 .

[3]  Christian Kummerow,et al.  NASDARainfall algorithms for AMSR-E , 2003, IEEE Trans. Geosci. Remote. Sens..

[4]  Li Li,et al.  Global survey and statistics of radio-frequency interference in AMSR-E land observations , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Fuzhong Weng,et al.  Detection and correction of AMSR-E radio-frequency interference , 2011 .

[6]  Richard Kelly,et al.  The AMSR-E Snow Depth Algorithm: Description and Initial Results , 2009 .

[7]  David G. Long,et al.  Spatial resolution enhancement of SSM/I data , 1998, IEEE Trans. Geosci. Remote. Sens..

[8]  Eastwood Im,et al.  A preliminary survey of radio-frequency interference over the U.S. in aqua AMSR-E data , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[9]  Thorsten Markus,et al.  An enhancement of the NASA Team sea ice algorithm , 2000, IEEE Trans. Geosci. Remote. Sens..

[10]  A. Stogryn,et al.  Estimates of brightness temperatures from scanning radiometer data , 1978 .

[11]  F. Weng,et al.  Retrieval of cloud liquid water using the special sensor microwave imager (SSM/I) , 1994 .

[12]  Christian Kummerow,et al.  A technique for enhancing and matching the resolution of microwave measurements from the SSM/I instrument , 1992, IEEE Trans. Geosci. Remote. Sens..

[13]  B. P. de Hon,et al.  A modal impedance‐angle formalism: Schemes for accurate graded‐index bent‐slab calculations and optical fiber mode counting , 2003 .

[14]  Thorsten Markus,et al.  Sea ice concentration, ice temperature, and snow depth using AMSR-E data , 2003, IEEE Trans. Geosci. Remote. Sens..

[15]  Fuzhong Weng,et al.  Satellite Data Assimilation in Numerical Weather Prediction Models. Part I: Forward Radiative Transfer and Jacobian Modeling in Cloudy Atmospheres , 2003 .

[16]  Eric A. Smith,et al.  Spatial resolution enhancement of terrestrial features using deconvolved SSM/I microwave brightness temperatures , 1992, IEEE Trans. Geosci. Remote. Sens..

[17]  Fuzhong Weng,et al.  Advanced microwave sounding unit cloud and precipitation algorithms , 2003 .

[18]  Leung Tsang,et al.  A prototype AMSR-E global snow area and snow depth algorithm , 2003, IEEE Trans. Geosci. Remote. Sens..

[19]  Hu Yang,et al.  The FengYun-3 Microwave Radiation Imager On-Orbit Verification , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Norman C. Grody,et al.  Effects of surface conditions on rain identification using the DMSP‐SSM/I , 1994 .

[21]  Richard Sethmann,et al.  Spatial resolution improvement of SSM/I data with image restoration techniques , 1994, IEEE Trans. Geosci. Remote. Sens..

[22]  Fuzhong Weng,et al.  Detection of Radio-Frequency Interference Signal Over Land From FY-3B Microwave Radiation Imager (MWRI) , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[23]  N. Grody Classification of snow cover and precipitation using the special sensor microwave imager , 1991 .