Goddard Latent Heating Retrieval Algorithm for TRMM and GPM
- Resource Type
- Journal Article
- Authors
- Stephen LANG; Takamichi IGUCHI; Wei-Kuo TAO; Yi SONG
- Source
- Journal of the Meteorological Society of Japan. Ser. II. 2022, 100(2):293
- Subject
- Global Precipitation Measurement mission
cloud-resolving model
latent heating retrieval
- Language
- English
- ISSN
- 0026-1165
2186-9057
The Goddard Convective-Stratiform Heating (CSH) algorithm has been used to retrieve latent heating (LH) associated with clouds and cloud systems in support of the Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Measurement (GPM) mission. The CSH algorithm requires the use of a cloud-resolving model (CRM) to simulate LH profiles to build look-up tables. This paper describes the current V6 CSH and its differences/similarities versus the previous V5 CSH. Long-term CRM simulations were conducted to identify the impact of the CRM resolution and convective-stratiform separation method on LH structure/profiles. The TRMM and GPM Combined radar-radiometer algorithm-derived surface rain rates and their associated precipitation properties were the input to the CSH algorithm.