The relationship between TC wind profile and TC rainfall profile in DYMOND-NICAM dataset

Dynamics of the Atmospheric general circulation Modeled On Nonhydrostatic Domains (DYAMOND) dataset which contains nine global models that were all initialized on 1 August 2016 with the analysis from the European Centre for Medium-Range Weather Forecasts (ECMWF) and integrated for 40 days (1 August – 10 September 2016) in convection-permitting resolution. In this study, we choose one of the global models Nonhydrostatic Icosahedral Atmospheric Model (NICAMS) to study TC characteristics further.
To identify TCs in the model output, suitable TC tracking methods were attempted and adopted. It was agreed with the observation that the Western Pacific is the most TC active basin. Although the total number of TCs in DYAMOND-NICAM is similar as the observation, the fewer and more simulated TCs in Eastern Pacific and North Atlantic separately. Then, in order to study the TC structure, we fit the observation surface wind profile using Modified Rankine Vortex (MRV) wind model and get the rainfall profile from GSMAP. Compared with the observation, we found that the model simulated smaller radius of maximum wind (RMW) and rainfall (RMR) and higher peak precipitation.
Further, to study possible relationship between TC wind profile and rainfall profile, some dynamic and thermodynamic variables in the model boundary layer were used. The TC wind model in Chavas et al.(2015) was used to fit the surface wind in order to get more reseasonable TC wind profile.  Then the simulated Ekman pumping transportation (TC vertical mass flux and radial mass flux) was also estimated which could be used to evaluated the precipitation transition efficiency in the model and construct the connection with TC surface wind and precipitation. We found that the accumulated Ekman pumping transportation has a great relationship (correlation efficiency nearly 0.85) with the accumulated precipitation within the TC inner core region. The results might provide some new insights to study and predict realistic and reliable TC precipitation.