Greg Carmichael
Regional
Scale Forecasting and Experiment-Specific Emission Estimates of Gas and Aerosol
Distributions in Support of the TRACE-P Experiment
Abstract
(1) Provide experiment-specific emission estimates of primary aerosol and
gaseous precursors needed to conduct detailed chemical/aerosol modeling in the
region;
(2) Provide
3-dimensional regional-scale forecasts of aerosol and trace gas distributions in
support of the intensive field operations.
Improved
estimates of emissions are needed to support modeling efforts in the field and
post mission, and to assist in the interpretation of the observations. Our
proposed work related to this activity builds strongly upon on-going work. An
important aspect of our past and present research efforts has been related to
improving emission estimates of primary particulates and trace gases in East
Asia. In this proposed work we will focus on improving the temporal and spatial
resolution of these emissions to provide emission estimates to directly support
the TRACE-P experiment. One aspect of this work will be to develop emission
estimates that correspond to the temporal characteristics of the Trace-P
experiment (i.e., month-specific with some day/hourly variation). Measurements
from the monitoring activities in the region should provide valuable information
on seasonal and daily variations, that may be used in this emissions work.
Improvements in the spatial resolution will build upon our information on large
point sources, and will also utilize additional satellite derived quantities
such as aerosol index from TOMS, column NOx from GOME, etc.
Product #1: 3-dimensional forecasts of tracer fields using RAMS, with
tracer-transport done on-line within RAMS. Here we plan to produce continuous
48-hour forecasts of a variety of tracers/markers to support the planning of the
next day missions. The meteorological and tracer fields will be displayed in
Vis5d to facilitate trajectory and other analysis in support of mission
planning.
Product #2:
3-dimensional
forecasts of chemical and aerosol fields. Here we propose to use the
meteorological fields from Product #1 to drive STEM and to provide
forecast fields of trace gas and primary and secondary aerosol distributions.
This analysis will provide another level of detail, specifically related to
trace gas distributions as well as the predicted fields of secondary and primary
aerosol, for use in mission planning.