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Steve Edburg. Assistant Research Professor Laboratory for Atmospheric Research Washington State University [email protected] My Background. Large-eddy simulation (LES) PhD work at WSU Earth system modeling ( EaSM ) Postdoctoral work at UI. SUN. OUTFLOW.

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Steve edburg

Steve Edburg

Assistant Research Professor

Laboratory for Atmospheric Research

Washington State University

[email protected]


My background
My Background

  • Large-eddy simulation (LES)

    • PhD work at WSU

  • Earth system modeling (EaSM)

    • Postdoctoral work at UI


SUN

OUTFLOW

Products and reactants from biosphere atmosphere interaction

INFLOW

air + trace gases

Mixing & Chemical

Reactions

FOREST

SOIL

Gas emission from biological processes in forest and soil


Les overview
LES Overview

  • Gap in knowledge: The role of turbulence on chemical production or loss within a forest canopy is unknown

  • Objective: Our objective was to determine if reaction rates are modified by intermittent turbulent structures

  • Hypothesis: Our central hypothesis was that turbulent structures alter reactions rates by un-evenly mixing trace gases above the canopy with gases emitted from trees

  • Goal: Use large-eddy simulation to determine the influence of coherent structures on trace gas reaction rates






Easm overview
EaSM Overview

  • Knowledge gap: Impact of bark beetle outbreak on carbon cycling is unknown

  • Objective: Quantify the impact of bark beetles on carbon cycling across the western US

  • Aims:

    • Create a regional insect disturbance product;

    • modify a Earth system model;

    • conduct simulations with and without outbreaks


Why is this issue important?

  • Infestations are widespread throughout western US

  • In 2009,

  • 4.3 Mha/10.6 Macres affected by bark beetles

  • 3.6 Mha/8.8 Macres affected by mountain pine beetle

USDA Forest Service, 2004


Physical and biogeochemical characteristics compared with undamaged forest

Year following attack

After 3-5 years

After several decades

Photo by ArjanMeddens

Photo by ArjanMeddens

Photo by C. Schnepf, forestryimages.org

Dead tree, needles on

Needles off

Snag fall/understory growth

  • Reduced LAI

  • Reduced Interception

  • Increased Rh

  • Initial recovery

  • Reduced GPP

  • Reduced ET


Simulated soil n dynamics play a key role in c fluxes and recovery
Simulated Soil N Dynamics Play a Key Role in C Fluxes and Recovery

25 yr

10 yr

5 yr

Point simulation in Idaho: 95% mortality over 3 years


Future research

Future Research Recovery


“Daily RecoveryForecasts of Wildland Fire Impacts on Air Quality in the Pacific Northwest: Enhancing the AIRPACT Decision Support System ”

Team: S. Edburg, B. Lamb, J. Vaughan, A. Kochanski, M.A. Jenkins, J. Mandel, N. Larkin, T. Strand, and R. Mell

Pending, submitted in December 2011 to NASA ROSES: Wildland Fires


Project overview
Project Overview Recovery

  • Our long-term goal is to continue the development of AIRPACT and evaluation tools to support decision making activities

  • The objective of this proposal is to improve the representation of wildland fires within AIRPACT

  • Our specific aim is to implement the WRF-Fire model within AIRPACT and evaluate simulations with satellite products

  • We expect this will improve the plume rise and emission estimates and our evaluation techniques

  • In our opinion, this will improve daily predictions of wildland fire impacts on air quality across the pacific northwest


EOS inputs: Recovery

MOPITT (CO)

MODIS / GOES

SMARTFIRE

-Fire location

-Fire area

Proposed Additions

AIRPACT

WRF-Fire

-Time rate of emissions

-Plume Injection Heights

-Influence of meteorology on fire spread and intensity

BlueSky Modeling Framework

-Speciated emissions

-Time rate of emissions

-Plume injection height of emissions

S.M.O.K.E

-Emissions preprocessor

EOS Evaluation

-OMI NO2 & O3

-MISR/CALPISO aerosol

CMAQ

-Influence of fire on the Air Quality forecast

(e.g. PM2.5, O3, NO2, CO, NMHC)

WRF

-Meteorological Input

-72 hour forecast




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