190 likes | 262 Views
Steve Edburg. Assistant Research Professor Laboratory for Atmospheric Research Washington State University sedburg@wsu.edu. My Background. Large-eddy simulation (LES) PhD work at WSU Earth system modeling ( EaSM ) Postdoctoral work at UI. SUN. OUTFLOW.
E N D
Steve Edburg Assistant Research Professor Laboratory for Atmospheric Research Washington State University sedburg@wsu.edu
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 • 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 • 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 25 yr 10 yr 5 yr Point simulation in Idaho: 95% mortality over 3 years
“Daily Forecasts 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 • 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: 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