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William G' Benjey

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Title: William G' Benjey


1
Relative Effects of Observationally- Nudged
Modeled Meteorology and Down-Scaled Global
Climate Model
Meteorology
on Biogenic Emissions
  • William G. Benjey
  • Physical Scientist
  • NOAA Air Resources Laboratory
  • Atmospheric Sciences Modeling Division
  • Research Triangle Park, NC
  • Fifth Annual CMAS Conference, Chapel Hill, NC,
    October 18, 2006

In partnership with the U.S. EPA National
Exposure Research Laboratory
2
Outline
  • Climate Impact on Regional Air Quality (CIRAQ)
    program
  • Observationally nudged vs. regional climate model
    (RCM) meteorology
  • Relative effects of nudged and RCM meteorology on
    biogenic emissions, with the focus on three-year
    modeled period and summer seasons
  • Biogenic emissions relative to modeled
    meteorology patterns
  • Conclusions
  • Next steps

3
CIRAQ Program
  • Objective Assess potential climate change
    impacts on O3 and PM using EPAs Community
    Multiscale Air Quality (CMAQ) model linked with
    global-scale climate and chemical transport
    models.
  • Supports the U.S. Climate Change Science Program
    (CCSP) research goals and synthesis products

4
Key CIRAQ Questions
  • How will future climate change and variability
    affect regional air quality over the United
    States?
  • What is the principle driver for future air
    quality (climate change and variability vs.
    technology-driven emissions)?
  • How will meteorologically-dependent mobile source
    and biogenic emissions respond to future climate
    conditions?
  • What are the strengths and weaknesses of using
    the down-scaled climate models for regional air
    quality assessments? What climate modeling
    improvements are needed?

5
CIRAQ Emissions
  • Phase 1 (by 2007)
  • Five year base case (2000)
  • Five year future case (2050)
  • Current anthropogenic emissions
  • Meteorologically dependent biogenic and mobile
    source emissions
  • Phase 2 (by 2010)
  • Add alternative future emission scenarios.

6
Regional Climate Model and Observationally Nudged
Meteorology
  • Most retrospective CMAQ simulations use
    observationally-nudged meteorological input
  • CIRAQ/CMAQ uses RCM inputs without observational
    nudging
  • Question Does lack of nudging create biases in
    current period emission simulations that might
    obscure a climate change signal due to noise
    in the meteorology modeling of the future?

7
Effects of Nudged and RCM Meteorology on Biogenic
Emissions
  • Nudged MM5 meteorology for 2001-2003 and 5
    current (base) years of RCM meteorology prepared
    for a U.S. modeling domain with 36km x 36km cell
    resolution
  • Hourly biogenic emission data for Isoprene and
    Nitric Oxide (NO) generated using the BEIS 3.13
    model in the SMOKE emission model with the
    meteorology data
  • Biogenic emission data area normalized over
    geographic regions to aid analysis of spatial and
    temporal patterns
  • Regions include model domain, Eastern and Western
    U.S. and Canada, and five eastern ozone regions
  • Ozone regions identified using principal
    component analysis (Lehman et al., 2004)

8
Western and Eastern Regions
9
Ozone Regions
After Lehman et al., 2004
10
Effects on Biogenic Emissions (3)


RCM 5 recent model years Nudged 2001,
2002, 2003
Area Normalized Emission Statistics by Region for
RCM and Nudged Meteorology
11
Effects on Biogenic Emissions (4)
RCM
Nudged
(5 recent years)
(2001-2003)
Mean Hourly Isoprene Emissions
12
Effects on Biogenic Emissions (5)
Observations on Biogenic Emissions
  • With the exception of Region 1, mean hourly
    biogenic Isoprene and NO emissions based on
    nudged meteorology greater than when based on RCM
    meteorology
  • Percent difference larger for Isoprene than for
    NO
  • Because Isoprene emissions depend on insolation
    as well as temperature, they vary more than NO,
    which depends on temperature and precipitation

13
Effects on Biogenic Emissions (6)


RCM 5 recent model years Nudged2001, 2002,
2003
Summer Season Area Normalized Emission Statistics
by Region for RCM and Nudged Meteorology
14
Effects on Biogenic Emissions (7)
15
Effects on Biogenic Emissions (8)
Observations on Summer Emissions
  • Summer mean hourly biogenic emissions more
    variable than annual mean hourly emissions
    (variance)
  • Isoprene emissions based on nudged meteorology
    greater than RCM-based Isoprene emissions in all
    regions
  • Mean hourly NO emissions based on nudged
    meteorology greater than RCM-based emissions
    except Region 1
  • RCM and nudged meteorology biases in general
    produce consistent emission biases. However,
    meteorological drivers (insolation, temperature,
    precipitation) not spatially consistent
  • Region 1 (Northeast) produces greatest
    RCM-to-nudged emission difference (33.7), but
    NO emission differences opposite sign

16
Meteorological Patterns
  • Principal component analysis reveals differences
    in RCM meteorology and NARR meteorology data sets
    based on observations. NARR similar to
    observationally nudged meteorology
  • Surface pressure, precipitation, 2 m temperature
    data extracted and sea level pressure calculated
    (1800 Z rather than all hours)
  • Bermuda High behavior not replicated by RCM
    meteorology
  • Summer RCM meteorology has relatively cool, dry
    high pressure conditions over the north and
    northeastern US and southern Canada during the
    summer

17
Summer Meteorological Patterns
  • Summer RCM temperatures 2 to 10 oK cooler over
    northern domain east of the Rocky Mountains
  • RCM underestimates precipitation for the eastern
    US

Summer RCM-NARR temperature differences (Gilliam
and Cooter, submitted)
18
Summer Biogenic Emission Patterns
  • Nudged Meteorology to RCM Meteorology-based
    Isoprene and NO emission differences greater in
    Eastern Region than Western Region consistent
    with a cooler, dryer east in the meteorology
    analysis
  • Region 1 RCM-NARR summer temperature differences
    small overall - 1o K warmer over water near the
    coast and neutral to 1oK cooler inland
  • RCM-based Region 1 NO summer emissions very close
    to Nudged-based NO summer emissions consistent
    with small temperature difference and no
    insolation dependence. RCM-based emissions
    slightly greater (-4.1 percent)

19
Summer Biogenic Emission Patterns (2)
Isoprene Emissions (top Nudged, bottom RCM)
NO Emissions (top Nudged, bottom RCM)
20
Conclusions
  • RCM-based biogenic emissions generally less than
    Nudged Meteorology-based biogenic emissions,
    especially for Isoprene and especially in the
    Northeast
  • Consistent with summer RCM to NARR meteorology
    temperature differences
  • Percent difference between RCM and Nudged
    meteorology-based biogenic emissions varies by
    region and by compound (Isoprene and NO).
    Reflects spatial differences in meteorological
    patterns
  • Initial indication that RCM-based Isoprene
    emissions could contribute to any tendency to
    under predict current period simulations of ozone
    concentrations in the Northeastern United States.

21
Next Steps
  • Complete detailed evaluation of the RCM to Nudged
    meteorology biogenic emissions for other seasons
    and other geographic regions
  • Look for sub-regional hot spots in the gridded
    emission data
  • Examine RCM to Nudged emission differences with
    respect to differences in CMAQ modeled ozone
    concentrations.
  • Apply the results to future year (2050) biogenic
    emissions based on RCM meteorology
  • Apply results to future year CMAQ model runs and
    evaluate output concentrations in the context of
    meteorology and emission patterns

22
Acknowledgements
  • Aid and comments from
  • Ellen Cooter
  • Rob Gilliam
  • Steve Howard
  • Rohit Mathur
  • Donna Schwede
  • Jenise Swall

23
Disclaimer
  • The research presented here was performed
    under the Memorandum of Understanding between the
    U.S. Environmental Protection Agency (EPA) and
    the U.S. Department of Commerces National
    Oceanic and Atmospheric Administration (NOAA) and
    under agreement number DW13921548. This work
    constitutes a contribution to the NOAA Air
    Quality Program. Although it has been reviewed
    by EPA and NOAA and approved for publication, it
    does not necessarily reflect their policies or
    views.
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