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Regional chEmical trAnsport Model (REAM) Yuzhong Zhang, Yuhang Wang, Charles Smeltzer, Dasa Gu, Zhen Liu [email protected] 1. REAM Modeling Setup and Specification 2. Characterization of air pollution and emissions in China 3. Pollutant distribution and lightning NOx study in USA 4. Comparing with campaigns and monitoring 5. HTAP2 preliminary results
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Regional chEmical trAnsport Model (REAM)

Jan 01, 2017

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Page 1: Regional chEmical trAnsport Model (REAM)

Regional chEmical trAnsport Model(REAM)

Yuzhong Zhang, Yuhang Wang, Charles Smeltzer, Dasa Gu, Zhen Liu

[email protected]

1. REAM Modeling Setup and Specification2. Characterization of air pollution and emissions in China3. Pollutant distribution and lightning NOx study in USA4. Comparing with campaigns and monitoring5. HTAP2 preliminary results

Page 2: Regional chEmical trAnsport Model (REAM)

REAM specification

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O3-NOx-VOCs-Halogen photochemistry

Dry/wet deposition

Meteorological fields

3-D advection

Emission inventory

BC: GEOS-Chem

Met: WRF

Biogenic: MEGAN

Vertical: 30 layers

Horizontal: 4km-36km

Biogenic emissions

Soil, lightning emissionsInitial, boundary condition

Vertical turbulent diffusion

Convective transport

Page 3: Regional chEmical trAnsport Model (REAM)

REAM specification

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Dimension 0‐D 1‐D 3‐D

Resolution 4km 36km 200m*

Functionality CTM inversion

Cloud‐resolvingTracer model

REAM is a research model, providing flexibility and functionality for varied research objectives

Page 4: Regional chEmical trAnsport Model (REAM)

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Study China air pollution

Liu et al., 2010; Liu et al., 2012

CARE Beijing 2007 campaign

0‐D 1‐D

Page 5: Regional chEmical trAnsport Model (REAM)

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Height

Stability

Deep>1km

Medium0.5‐1km

Shallow<0.5km 

Turbulent (<0.1K/km) 40 ‐ ‐Neutral (0.1‐1K/km) 123 24 ‐Stable (>1K/km) ‐ 7 12

Vertical distribution of pollutants

DISCOVER-AQ 2011 Baltimore

Zhang et al., in prep

1‐D

Page 6: Regional chEmical trAnsport Model (REAM)

Inversed NOx emission trend in China

Gu et al., 2013; Gu et al., 2014Chemical nonlinearity

Increase of emissions overall

Decrease or flat emissions in the developed cities

3‐D

Inversion

Page 7: Regional chEmical trAnsport Model (REAM)

Missing source of glyoxal using inversion

3‐D

Inversion

Missing glyoxal attributed to underestimation of aromatic emissions

Liu et al., 2012

Page 8: Regional chEmical trAnsport Model (REAM)

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Lightning NOx emissions

Smeltzer et al., in prep

3‐D

Cloudresolving

Page 9: Regional chEmical trAnsport Model (REAM)

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Trace NOx contributions from each grid

3‐D

Tagged‐Tracer

Each box has it's own NO2 tracer throughout the whole domain

Page 10: Regional chEmical trAnsport Model (REAM)

• US domain• 36km• Gas phase• Base simulation

– Station surface– Station profile

• Fixed BC simulation

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HTAP status 

Page 11: Regional chEmical trAnsport Model (REAM)

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DISCOVER‐AQ vertical profiles

Page 12: Regional chEmical trAnsport Model (REAM)

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DISCOVER‐AQ column correlations

Page 13: Regional chEmical trAnsport Model (REAM)

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Observation Model Bias Correlation r MAD CV ppbv ppbv ppbv ppbv Whole 48.9 48.1 -0.8 0.66 7.0 14% SE US 48.5 50.7 2.2 0.73 5.9 12%

EPA monitoring sites

3‐D

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EPA monitoring sites

October, 2010

3‐D

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Ozonesonde in the western US

Monthly mean BC Hourly updating BC ozonesonde

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Calnex aircraft measurements

Page 17: Regional chEmical trAnsport Model (REAM)

Questions?

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