This looks fine to me...50K for Q4 FY12. It will have the same classification as the GVAX project, and prio 3. Ray On 6/25/12 4:49 PM, "[email protected]" <[email protected]> wrote:

Hello,

A new project on the LCRC cluster has been requested. Please forward the information on to the LCRC Allocation sub-committee.

Applicant's name: Rao Kotamarthi Applicant's institution: ANL Applicant's division: DIS, PI: David Streets Project Name: 7_SEAS_WRF Project title: Forecasting for the 7-SEAS Study Associated funding: NASA, DOE Other Systems: None Science: SEAC4RS will address the influence of Asian emissions on atmospheric chemistry, clouds, climate and air quality, with specific focus on studying the redistribution of atmospheric composition under Asian monsoon circulation and convection conditions. The primary goals of the experiment are to provide key observations to help validate satellite observations under these conditions, and to advance our understanding of the role of deep convection in redistributing pollutants emitted in the tropics and the subsequent influence of these pollutants on the chemistry of the upper troposphere, and the influence of feedbacks between the pollutants and local meteorology through direct, semi-direct and indirect radiative effects. The successful execution of the mission and the interpretation of the observations to meet the science objectives require contributions from Chemical Transport Models (CTMs). CTMs play important roles in the design, execution, and analysi s of large-scale atmospheric chemistry field studies. They are used in forecast-mode to enhance flight planning by enabling the representation of important three-dimensional atmospheric chemical structures (such as dust storm plumes, polluted air masses associated with large cities, widespread biomass burning events, and large scale convective redistribution events) and how they evolve over time. CTM forecasts play the additional important role of providing a 4-dimensional contextual representation of the experiment. CTMs also facilitate the integration of the different measurements and measurement platforms (e.g., aircraft, ground stations and satellite observations). Finally, CTMs are used to help evaluate and improve emission estimates. Project description: We have developed an operational regional-scale forecasting and analysis system to assist in atmospheric field experiments. The system consists of 3 major components: 1) detailed mesoscale meteorological model with an off-line CTM and a wide variety of air mass and emission tracers; 2) detailed 3-dimensional photochemical and radiative transfer calculations using a CTM; and 3) enhanced emission products that intimately link emitted amounts and activities to the transport and chemistry analysis. This system was successfully applied in the design and execution of the NASA TRACE-P, INTEX A & B and ARCTAS experiments, the NSF ACE-Asia, MILAGRO, Pacific Dust Experiment (PACDEX) and VOCALS REx experiments, and the NOAA ITCT-2K2 and ICARTT intensive field experiments. In these previous applications we have demonstrated that these models can be used effectively in the execution and analysis of field experiments. Forecast products, emissions and publications from these previous missions can be found at http://www.cgrer.uiowa.edu/ACESS/acess_index.htm.

We plan to generate SEAC4RS with once per day WRF-Chem forecasts of hourly meteorology and chemical transport with fully coupled feedbacks. The WRF-Chem forecasts will be of particular use in this experiment as the model is well-suited for simulating regional-scale redistribution by convection (see Section 2.3 for examples) and evaluating feedbacks between pollution and meteorology. The on-line coupling allows better temporal resolution and coupling between the processes, and the higher spatial resolution that we plan to use will directly resolve cloud processes. These features in WRF-Chem will be used to generate a range of new mission support products tailored to specific objectives and needs of the SEAC4RS experiment, such as convective indices, convective outflow regions, and indices of locations and time periods where new particle activation and aerosol radiative forcing are strongest.

Project URL: http://espo.nasa.gov/missions/seac4rs Requested allocation: 170000 Q1: 50000 Q2: 50000 Q3: 20000 Q4: 50000 Justification: WRF-CHEM model is operational on the Fusion cluster and used by the Dr. Kotamarthi and Dr. Yan Feng of EVS. The regional climate model scales up to 72 nodes and needs ~10 hours to complete a 72-hr forecast. The speedup achieved with 72 processors is about 13 relative to 4 processors. Memory used on each node decreases from 4.5 GB, 1.5GB, 1.1 GB, to 0.9 GB while the number of nodes increases from 4, 16, 36, to 72 nodes. The above estimated time does not include pre-processing of the NCEP meteorology fields, post-processing and visualization of the forecast results. These numbers are generated for simulation over domain covering the entire South Asia and we expect the domain size and time requirements to be similar for the proposed simulations over Southeast Asia.

The requester has used undetermined amount hours of their initial startup project.

In addition to approving an initial amount, please specify a Category and Subcategory for this project. For a list of the current selection of approved categories, please see:

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Once the Allocation committee has approved the project, please go to the Project Management page to create it:

https://accounts.lcrc.anl.gov/projects.php

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----------------------------------------- Ray Bair Computing, Environment, and Life Sciences Argonne National Laboratory and the University of Chicago TCS Building 240, Room 4122 9700 South Cass Avenue Argonne, IL 60439 email: rbair(at)anl.gov Phone: (630)252-5751