Global aerosol forecasting and data assimilation - PowerPoint PPT Presentation

1 / 18
About This Presentation
Title:

Global aerosol forecasting and data assimilation

Description:

Aerosols affect the interpretation of satellite data for ... Sea salt. DMS. SO2. SO4. BC/OC. Sources. Chemistry/ Transformation. Sinks. Swelling by RH ... – PowerPoint PPT presentation

Number of Views:35
Avg rating:3.0/5.0
Slides: 19
Provided by: ever66
Category:

less

Transcript and Presenter's Notes

Title: Global aerosol forecasting and data assimilation


1
Global aerosol forecasting and data assimilation
  • Overview, Work Plan and Progress Update
  • Sarah Lu

2
Rationale
  • Key mechanisms for utilizing satellite
    observations
  • Aerosols affect the interpretation of satellite
    data for atmospheric, land, and ocean
    applications
  • Potential for improvements in forecast accuracy
  • Radiation Aerosols affects surface radiation
    both directly (via scattering and absorption) and
    indirectly (through cloud-radiation interaction)
  • Hurricane Dust-laden Saharan air layer reduces
    occurrence of deep convection and suppresses
    tropical cyclone activities
  • Impacts on climate, human health, ecosystem, and
    visibility
  • Regional air quality Aerosols (lateral and
    upper) boundary conditions are needed for planned
    PM prediction
  • Aviation and visibility Emissions from large
    wild fires affect aviation route planning and
    visibility forecasts

3
NCEP global aerosol forecasting and data
assimilation
  • OVERVIEW
  • Create an integrated operational system for
    forecasting and monitoring the atmospheric
    chemistry and dynamics
  • GOAL
  • Generate optimal (accurate and affordable)
    description of global distribution of atmospheric
    aerosols
  • Provide improved air-chemistry forecasts, through
    improved exploitation of satellite data
  • APPROACH
  • Incorporate prognostic aerosols in GFS
  • Assimilate aerosol measurements (AOD and then
    radiance) in GSI
  • Leverage common modeling framework and shared
    software development (JCSDA and ESMF)

4
ESMF Component Framework
Atmosphere
ATM Dynamics
ATM Physics
Mark Iredell
5
Chemistry/ Transformation
Sinks
Sources
Depends on surface winds
Topographic Source 4 size classes 0.1 6 µm
radius
Dust
Sedimentation Dry deposition Wet removal
Improved representation of sub-micron
particles 5 size classes 0.03 10 µm dry radius
Swelling by RH
Sea salt
Based on measured sea surface concentration
Chemistry
DMS
Oxidation to SO2
Anthropogenic Biomass burning Oxidation of DMS w/
OH and NO3
Chemistry Dry deposition Wet removal
SO2
Oxidation to SO4
Anthropogenic Biomass burning Oxidation of SO2 w/
OH and Aqueous reaction with H2O2
Dry deposition Wet removal
SO4
Fractionation of Hydrophobic Hydrophilic
Components
Dry deposition Wet removal (hydrophilic only)
Biomass burning Biofuel Anthropogenic,
other Biogenic OC
BC/OC
Arlindo da Silva (GMAO)
6
ESMF Component Framework
Atmosphere
GOCART GridComp
SS
SU
DU
OC/BC
ATM Dynamics
ATM Physics
Mark Iredell
7
Prototype aerosol forecasting system
GFS forecast from T0
Communication of dynamics info
GOCART forecast from T0
Communication of chemical info
GFS forecast from T
GOCART forecast from T
8
NOAA medium range weather forecasts
  • BASELINE CONDITION
  • Climatology-derived aerosol distributions are
    used in the GFS
  • Background aerosol conditions are assumed in the
    GDAS radiative transfer scheme
  • SHORTCOMING
  • The effects of aerosols on radiation, clouds, and
    convection are poorly constrained in the GFS
  • The effects of aerosol attenuation on radiance
    assimilation are yet to be quantified in the GDAS
  • PROPOSED ENHANCEMENT
  • Global aerosol products will improve the
    representation of aerosol distribution and
    variations within the GFS/GDAS system

9
Aerosol distributions vary significantly from
day to day
Sulfate AOT
Dust AOT
Apr 02, 01
Apr 12, 01
Mian Chin (GSFC)
10
Aerosol vertical distribution changes
April
September
Aerosol extinction at 550 nm
Mian Chin (GSFC)
11
Aerosol composition changes with
locations/seasons
April
September
Mian Chin (GSFC)
12
NOAA air quality forecasts
  • BASELINE CONDITION
  • Default static boundary conditions are used for
    PM air quality predictions
  • SHORTCOMING
  • The use of static boundary conditions cannot
    account for the impact of long-range aerosol
    transport on PM loading over the US
  • PROPOSED ENHANCEMENT
  • Global aerosol products will provide improved PM
    lateral boundary conditions for the AQF system
    and, consequently, improve PM air quality
    forecasts

13
Dust Evolution and Trans-Pacific Transport
Mian Chin (GSFC)
14
How do the foreign sources affect native air
quality?
Altitude (km)
SO4 µg m-3
  • Sulfate over North America
  • Most sulfate stays in the boundary layer
  • Pollution from Asia can travel around the
    hemisphere at higher altitudes above BL
  • European pollution makes its way over N. America
    at higher latitudes
  • In the BL over North America, most sulfate is
    from is own regional source

Altitude (km)
from Asia
Altitude (km)
from Europ
Altitude (km)
from N America
Mian Chin (GSFC)
East Coast
West Coast
15
How do the foreign sources affect native air
quality?
Altitude (km)
Dust µg m-3
  • Dust Over North America
  • Dust plume has broad vertical extension above the
    BL
  • Most dust below 6 7 km is from Asia
  • Dust from the Middle East contributes to about
    10 dust loading
  • African dust is an important contributor to the
    dust level in the tropics and at high altitudes
    above 6 7 km

Altitude (km)
from Asia
Altitude (km)
from Middle East
Altitude (km)
from Africa
Mian Chin (GSFC)
East Coast
West Coast
16
An end-to-end work plan
In Progress
  • Adoption of GOCART modeling component
  • Modification of GFS radiation module
  • Extension of GFS tracer capability to include
    aerosols
  • Development of ESMF interface for coupling GOCART
    and GFS
  • Deliverable GFS-GOCART simulated aerosol
    products
  • Utilization of MODIS/OMI measurements
  • Incorporation of MODIS/OMI into NCEP operational
    data tank
  • Evaluation and error analysis based on AODs and
    radiance
  • Deliverable MODIS/OMI calibrated aerosol
    products
  • Integration of global aerosol products in NOAA
    decision support
  • Interface global aerosol products with CMAQ-NAM
  • Couple global aerosol products with GFS/GSI
  • Adopt global aerosol products in SST analysis
    system
  • Deliverable Benchmarking of improvements in NOAA
    decision support
  • Research-to-operation transition
  • Optimize the configuration to fit operational
    resource and time constraints
  • Manage the logistics for operational
    implementation
  • Deliverable Operation implementation

17
Aerosol products from EC GEMS (Global and
regional Earth-system Monitoring using Satellite
and in situ data)
Products Usage
4D distribution of aerosol concentrations (troposphere and stratosphere) climate research monitoring of the atmospheric chemical composition monitoring of the stratosphere (air traffic) monitoring of volcanic eruptions for local populations initial and boundary conditions for regional air quality models
4D distribution of aerosol optical properties (troposphere and stratosphere) atmospheric corrections for remote sensing of land surfaces and ocean prediction of surface UV radiation
Surface distribution of particulate matter PM regional air quality
Improved visibility range air traffic, tourism
Improved photosynthetically active radiation (PAR) at the surface study of the carbon cycle monitoring of the Kyoto protocol
Aerosol deposition flux (dry and wet) study of the ocean biology impact on ecosystems (acid rain monitoring)
Improved photolysis rates regional air quality global monitoring of the atmospheric chemical composition
Improved surface, atmospheric, and top-of-atmosphere radiative budget climate research
18
Thank You
Write a Comment
User Comments (0)
About PowerShow.com