Engineering Papers⌕ Search

Engineering topics

Dipankar, Anurag

Publications and source records attributed to Dipankar, Anurag.

Cloud feedback studies with a physics grid

During this project the investigators implemented a fully parallel version of dual-grid approach in main frame code ICON, implemented a fully conservative first-order interpolation scheme for horizontal remapping, integrated UCLA-LES micro-scale model into ICON to run parallely in selected columns, and did cloud feedback studies on aqua-planet setup to evaluate the classical parameterization on a small domain. The micro-scale model may be run in parallel with the classical parameterization, or it may be run on a "physics grid" independent of the dynamics grid.

54 ENVIRONMENTAL SCIENCES↗

Cloud feedback studies with a physics grid

This project was funded by DOE in 2007 but work was initially delayed, first because a senior investigator on the original project (Stephen Thomas) took another position, and subsequently because the PI changed institutions, leaving UCLA in the summer of 2008 to join the MPI-M in Hamburg Germany. The project was moved to the MPI-M with the help of DOE staff, and after negotiating numerous logistical and administrative hurdles the project started in April 2010. Due to differences in funding the project funding was able to support roughly three person years, and our institution also agreed to supplement the support to fund the main postdoc for a third year. Due to the change of institutions, and considerable development in dynamical cores since the initiation of the project it was decided to work through the ideas using the new ICON dynamical core. The ICON dynamical core is based on a icosahedral grid and serves a prototype for dynamical cores that are being developed in a number of institutions, including at NCAR (the so called MPAS model) for a future version of the Community Earth System Model. The advantage of using ICON for these purposes is that the the ICON dynamical core is relatively stable, and is built on a hierarchical concept that naturally adapts itself to the proposed experimental strategy. Using ICON also allows the project to benefit from staff at the institute who have helped develop ICON, thus bring the main ideas more rapidly to fruition. However, because of the on-going development in the very core of the model and other issues related to pre and post processing, the project did not end in the expected manner. Although the plans in the proposed project has been achieved, to run the heterogeneous multiscale model at global scale requires very heavy computing resources which was not expected. We have found some encouraging results using the available resources on a smaller domain and we plan to investigate them further on a larger scale in near future.

54 ENVIRONMENTAL SCIENCES↗