EGU21-443
https://doi.org/10.5194/egusphere-egu21-443
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Improving Precipitation Retrieval by Brightness Temperature Temporal Variation (ΔTB): Definition, Computation, and Application

Yalei You1, Christa Peters-Lidard2, Stephen Munchak2, and Sarah Ringerud1
Yalei You et al.
  • 1University of Maryland, ESSIC, United States of America (yyou@umd.edu)
  • 2Goddard Space Flight Center, NASA, United States of America

Current microwave precipitation retrieval algorithms utilize the instantaneous brightness temperature (TB) from a single satellite to estimate the precipitation rate. This study proposed to add the time-dimension into the precipitation estimation process by using the TB (or emissivity) temporal variation (ΔTB or Δe) derived from the Global Precipitation Measurement (GPM) microwave radiometer constellation.  Results showed that (1) ΔTB can improve the precipitation estimation over the cold surfaces (i.e., snow-covered region) through minimizing the microwave land surface emissivity’s influence; (2) Δe under the clear-sky conditions can accurately estimate the daily rainfall accumulation; and (3) ΔTB can be used to identify the liquid raindrop signature over the low surface emissivity areas. This study highlights the importance of maintaining the current passive microwave satellite constellation.

How to cite: You, Y., Peters-Lidard, C., Munchak, S., and Ringerud, S.: Improving Precipitation Retrieval by Brightness Temperature Temporal Variation (ΔTB): Definition, Computation, and Application, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-443, https://doi.org/10.5194/egusphere-egu21-443, 2021.

Comments on the

to access the discussion