H200-0013
Goddard Latent Heating Retrieval Algorithm for TRMM and GPM
Wednesday, 16 December 2020
Poster
Takamichi Iguchi, University of Maryland College Park, College Park, MD, United States, Wei-Kuo Tao, NASA/Goddard Space Flight Cent, Greenbelt, MD, United States, Stephen E Lang, SSAI, Greenbelt, MD, United States and Yi Song, NASA Goddard Space Flight Center, Greenbelt, United States
Abstract:
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 (LUTs). We will present descriptions on the current Version 6 CSH and its differences/similarities versus the previous Version 5 CSH. Long-term CRM simulations are conducted to identify the impact of CRM resolution and the convective-stratiform separation method on LH structure and profiles.
The performance of Version 6 CSH is also examined by comparing its vertically-integrated heating (or equivalent surface rainfall rate) with the surface rainfall rate derived from the TRMM/GPM Combined algorithm. The results suggest the CSH three-month and zonal mean equivalent surface rain rates are in good agreement with the Combined rates over the ITCZ region; the agreement is best over ocean. CSH three-month and zonal mean equivalent surface rain rates are larger than the Combined rates over land in both the tropics and sub-tropics. CSH three-month mean equivalent surface rainfall rates also have local differences with the Combined rates that can be smoothed by area averaging to larger horizontal resolutions. CSH equivalent surface rainfall rates have more light rain rates but less larger rain rates compared to the GPM Combined surface rain rates.
