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Frontiers of Earth Science

, Volume 13, Issue 2, pp 277–289 | Cite as

Bias characterization of ATMS low-level channels under clear-sky and cloudy conditions

  • Qi Li
  • Xiaolei ZouEmail author
Research Article
  • 7 Downloads

Abstract

The Advanced Technology Microwave Sounder (ATMS) onboard the Suomi National Polar-Orbiting Partnership satellite is a cross-track scanning instrument containing 22 sounding channels in total. In this study, the bias characteristics of channels 1–6, which could have significant cloud contamination in heavy precipitation, are first analyzed based on the differences between ATMS observations (O) and model simulations (B) under clear-sky conditions over oceans. Latitudinal dependencies of the biases of window channels 1–3 are greater than those of channels 4–6. Biases of all nadir-only observations examined in different latitudinal bands [μ1(φ)] are positive and no more than 7.0 K. Biases at higher latitudes are larger. Channels 1–5 have a generally symmetric scan bias pattern [μ2(α)]. The global distributions of brightness temperature differences after subtracting the biases, i.e., O-B-μ1(φ)-μ2(α), for channels 3–6 spatially match the liquid water path distributions. Excluding ice-affected observations, channel 3–6 O-B differences systematically increase as the liquid water path increases under cloudy conditions. Further investigation is needed to apply these findings for ATMS data assimilation under both clear-sky and cloudy conditions.

Keywords

ATMS O-B clear-sky bias characteristics impact of clouds on biases 

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Notes

Acknowledgements

The author was supported by the National Key R&D Program of China (No. 2018YFC1507302), and the Mathematical Theories and Methods of Data Assimilation supported by the National Natural Science Foundation of China (Grant No. 91730304).

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Copyright information

© Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Joint Center of Data Assimilation for Research and Application, College of Atmospheric ScienceNanjing University of Information Science and Technology (NUIST)NanjingChina
  2. 2.Earth System Science Interdisciplinary Center (ESSIC)University of MarylandCollege ParkUSA

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