Abstract

The development and continuity of consistent long-term data records from similar overlapping satellite observations is critical for global monitoring and environmental change assessments. We developed an empirical approach for inter-calibration of satellite microwave brightness temperature (Tb) records over land from the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) and Microwave Scanning Radiometer 2 (AMSR2) using overlapping Tb observations from the Microwave Radiation Imager (MWRI). Double Differencing (DD) calculations revealed significant AMSR2 and MWRI biases relative to AMSR-E. Pixel-wise linear relationships were established from overlapping Tb records and used for calibrating MWRI and AMSR2 records to the AMSR-E baseline. The integrated multi-sensor Tb record was largely consistent over the major global vegetation and climate zones; sensor biases were generally well calibrated, though residual Tb differences inherent to different sensor configurations were still present. Daily surface air temperature estimates from the calibrated AMSR2 Tb inputs also showed favorable accuracy against independent measurements from 142 global weather stations (R2 ≥ 0.75, RMSE ≤ 3.64 °C), but with slightly lower accuracy than the AMSR-E baseline (R2 ≥ 0.78, RMSE ≤ 3.46 °C). The proposed method is promising for generating consistent, uninterrupted global land parameter records spanning the AMSR-E and continuing AMSR2 missions.

Highlights

  • Microwave radiometers onboard Earth observing satellites have been widely used for observing critical land surface parameters supporting environmental monitoring and global change studies [1,2,3,4].High-quality and consistent geophysical retrievals from well-calibrated, stable radiometer observations and long-term data records are essential for accurately delineating regional patterns and distinguishing natural climate variations from more subtle environmental trends.The Advanced Microwave Scanning Radiometer for EOS (AMSR-E) was operational on board the NASA Aqua satellite from June 2002 to October 2011 and provided vertically and horizontally polarized, multi-frequency brightness temperature (Tb) observations of the global land surface at 1–3 day intervals [5]

  • Stable and well-correlated Tb observations from AMSR-E, AMSR2 and Microwave Radiation Imager (MWRI) form the basis of the sensor inter-calibrations

  • The linear correlation coefficient R was calculated from the overlapping sensor records for each 25 km resolution pixel within the global land domain, while the mean Tb sample size used to determine R for each pixel was 50.4 ± 29.6 days for the AMSR-E and MWRI overlapping data record and 49.2 ± 29.5 days for the

Read more

Summary

Introduction

Microwave radiometers onboard Earth observing satellites have been widely used for observing critical land surface parameters supporting environmental monitoring and global change studies [1,2,3,4].High-quality and consistent geophysical retrievals from well-calibrated, stable radiometer observations and long-term data records are essential for accurately delineating regional patterns and distinguishing natural climate variations from more subtle environmental trends.The Advanced Microwave Scanning Radiometer for EOS (AMSR-E) was operational on board the NASA Aqua satellite from June 2002 to October 2011 and provided vertically and horizontally polarized, multi-frequency brightness temperature (Tb) observations of the global land surface at 1–3 day intervals [5]. A variety of global land products and geophysical retrievals have been derived from the AMSR-E Tb record, including atmosphere precipitable water vapor, surface air temperature, open water inundation, surface soil moisture, landscape freeze-thaw status, snow water equivalent, and vegetation canopy biomass optical depth [6,7,8,9,10,11,12,13,14,15,16] These products have been refined through ongoing evaluations and reprocessings of the AMSR-E record to support global water, energy and carbon cycle studies [17,18,19,20,21].

Methods
Results
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.