WACCEM Resources

PyFLEXTRKR for atmospheric feature tracking

  • The Python FLEXible object TRacKeR (PyFLEXTRKR) is a flexible atmospheric feature tracking software package. The software can track any 2D objects and handle merging and splitting explicitly. PyFLEXTRKR has specialized capabilities to track convective clouds from a variety of observations and model simulations, including: 1) individual convective cells, and 2) mesoscale convective systems (MCS) using radar, satellite, and model data.
  • URL: https://github.com/FlexTRKR/PyFLEXTRKR
An image of figures
Example figures produced by PyFLEXTRKR

A U.S. dataset of isolated deep convection and MCS

  • The database provides high-resolution (4-km, hourly) tracking of mesoscale convective systems (MCSs) and isolated deep convection events (IDC) east of the Rocky Mountains over the contiguous United States from 2004 – 2017.
  • DOI: http://dx.doi.org/10.25584/1632005
A satellite image
A satellite image

A global MCS tracking dataset

  • The global high-resolution (10-km, hourly) MCS tracking dataset provides automated identification and lifecycle evolution of individual MCS events, along with a suite of important MCS characteristics including lifetime, size, movement and a suite of surface precipitation feature characteristics. The dataset is available from 2000 – 2020.
  • DOI: https://doi.org/10.5281/zenodo.10023498
Satellite Image

TMeCSR mesoscale reanalysis

  • A high-resolution tropical mesoscale convective system reanalysis product overing a region spanning the tropical Indian Ocean, tropical continental Asia, the Maritime Continent, and the Western Pacific where MCS frequently occur. The TMeCSR is produced by assimilating all-sky infrared radiances from geostationary satellite and other conventional observations into an MCS-resolving regional model using the Ensemble Kalman Filter (EnKF). Data is available at 9-km grid spacing for the three boreal summer months (June-August) of 2017.
Mesoscale convection tracking
  • MCS tracking data from DYAMOND simulations
  • MCS tracking data from ERA5
  • MCS tracking data from HighResMIP simulations
  • E3SM cloud locking and other cloud-radiation feedback denial experiments
  • CESM Green’s function experiments
  • E3SM land and ocean data assimilation experiments (after papers are published)
  • Noah-MP simulations with water tracers to isolate water fluxes associated with MCS and non-MCS precipitation
  • WT-WRF with coupled water tracers over land and atmosphere
  • E3SM coupled to a slab ocean (E3SM SOM)