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New England Temperature Air Quality Pilot Study
- To quantify the improvements in the forecasting of temperature and air
quality in the New England region which results from new and augmented
observations and modeling.
- To assess the benefits of better predictive capabilities to the energy sector.
- To provide a pathway to operational high-resolution temperature and air
Because air quality and temperature at ground level are strongly
influenced by weather conditions just above ground and observations of
these conditions are very limited, ETL is providing critical
observations aloft in the layer between the ground and about 2 km
altitude. The key tools are remote sensors that continually monitor
temperature (RASS), winds (wind profilers), and ozone (lidars) in this
ETL operated a network of boundary layer radar wind profilers to
provide more detailed observations of the horizontal and vertical
distribution of winds, temperature, boundary-layer characteristics, and
nighttime pollution transport. Data from this network was made available
to operational weather and air quality forecasters as it was collected.
These data are also being used to evaluate research and operational
mesoscale numerical models.
ETL also deployed two ozone-profiling lidars in the New England region.
These lidars were used to assess the impact of upwind ozone and
ozone transport on air quality forecast performance and facilitated
decisions on the components and density of observations needed for
operational air quality systems.
Evaluation and Verification of Model Forecasts
Focusing on meteorological aspects, ETL is assessing the accuracy of
model forecasts. Evaluation emphasizes
parameters that are the basis for decision-making in the energy
industry. This research examines the potential role of
regional observing networks in improving local temperature and
air quality forecasts and provides quantitative assessment of
Strengthening connections between the operational and research communities,
ETL is working with operational forecasters to assess the benefits of
the new observations and modeling in the operational weather forecasting
held prior to the experimental period introduced new products, while
evaluation forms provided in conjunction with prototype operational data
forecasters to provide feedback on these new products.