Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 23
Articles | Volume 15, issue 23
https://doi.org/10.5194/amt-15-7119-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-7119-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 23
Research article
 | 
12 Dec 2022
Research article |  | 12 Dec 2022

Latent heating profiles from GOES-16 and its impacts on precipitation forecasts

Yoonjin Lee, Christian D. Kummerow, and Milija Zupanski

Data sets

NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 2 Cloud Top Pressure (CTP) GOES-R Algorithm Working Group and GOES-R Program Office https://doi.org/10.7289/V5D50K85

GPM DPR and GMI Combined Convective Stratiform Heating L3 1 month 0.5 degree x 0.5 degree V06 GPM Science Team https://doi.org/10.5067/GPM/DPRGMI/CSH/3B-MONTH/06

GPM DPR Spectral Latent Heating Profiles L3 1 month 0.5 degree x 0.5 degree V07 GPM Science Team https://doi.org/10.5067/GPM/DPR/SLH/3A-MONTH/07

GPM DPR and GMI Combined Stratiform Heating L2 1.5 hours 5 km V06 GPM Science Team https://doi.org/10.5067/GPM/DPRGMI/CSH/2H/06

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Short summary
Vertical profiles of latent heating are derived from GOES-16 to be used in convective initialization. They are compared with other latent heating products derived from NEXRAD and GPM satellites, and the results show that their values are very similar to the radar-derived products. Finally, using latent heating derived from GOES-16 for convective initialization shows improvements in precipitation forecasts, which are comparable to the results using latent heating derived from NEXRAD.
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