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Sequential Atmospheric Modeling with Large-Scale Meteorology for Climate Simulations

This project focuses on sequential atmospheric modeling components to simulate large-scale meteorology and climate through the analysis of anthropogenic emission inventories and land use and cover data. The models operate independently with one-way communication between components, such as WRF-VIC, MEGAN, SMOKE, and CMAQ, to assess nitrogen deposition modulation by ENSO cycles. The study domain includes the Western US, analyzing historical data from 1979-2008 with particular attention to ENSO cycles. The integration of atmospheric, land, and ocean components aims to improve air quality assessment. The project involves research on biogenic emissions, aerosol properties, and boundary conditions for simulations, aiming to address regional environmental questions and explore biogenic-anthropogenic interactions.

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Sequential Atmospheric Modeling with Large-Scale Meteorology for Climate Simulations

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  1. Team Members

  2. Atmospheric Modeling Components

  3. Sequential Simulations Large-Scale Meteorology or Climate Anthropogenic Emission Inventories Land Use, Land Cover Data • “Sequential” – the models are run independently and there is only 1-way communication between models Gridded, Hourly Emissions from All Sources Gridded, Hourly Meteorology Gridded, Hourly BVOC Emissions WRF-VIC MEGAN SMOKE CMAQ Gridded, Hourly Nitrogen Deposition Chemical Boundary Conditions RHEYSSys, CropSyst

  4. Coupled WRF-VIC Simulation for Sequential Runs Decisions Made! • Western-US domain: • Allows analysis of ENSO cycles • Grid Cells: • 12-km x 12-km • Decent for representing ubran vs rural influence on air quality • Historical Simulation Period: • 1979-2008, which has several ENSO periods; PDO variability too long to capture • Boundary and Initial Conditions: • NARR (~32-km resolution) • Land-Use, Land-Cover Data: • NLDAS2 (save Alex’s dataset for WRF-VIC-RHESSys-- no need to recalibrate VIC yet!) Simulation Domain

  5. Offline CMAQ Simulation for Sequential Runs • Purpose: • Model nitrogen deposition and evaluate how it’s modulated by ENSO cycles • Provide results to offline RHESSys and CropSyst simulations • Domain & Grid Cells: • A subdomain within the WRF-VIC domain • Same grid cells as WRF-VIC • Historical Simulation Period: • A few ENSO cycles during the 1979-2008 period • Chemical Boundary Conditions: • 1990s from global chemical transport model MOZART? • Anthropogenic Emission Inventory: • 1999 or 2002 National Emissions Inventory • Bioegenic Emissions: • MEGANv2.1

  6. ENSO Cycles During Historical Simulation Period El Nino La Nina http://www.esrl.noaa.gov/psd/enso/mei/

  7. Status of Coupled WRF-VIC GCM/Reanalysis Flux Coupler (CPL7) Atmosphere (WRF/Chem) Ocean (ROMS) RESM Land/Veg/C/N (CLM/VIC) Ocean (POP) Sea Ice (CSIM) Atmosphere (CAM) CESM • WRF (v3.2) and VIC (v.4.0.4) has been coupled through the CESM flux coupler CPL7 • Coupled WRF-VIC has been tested in a global and an Arctic domain (Chunmei Zhu, UW) • For BioEarth, need to create input data spatial data for VIC for our Western-US simulation & grid cells.

  8. Status of Coupled WRF-CMAQ Aerosol Optical Properties, Cloud Condensation Nuclei Ozone • Current release, CMAQv4.7.1, is not coupled to WRF • CMAQv5.0 is supposed to be released anytime now. • Two-way coupling built into WRF v3.3 • Only supports CAM and RRTMG shortwave radiation schemes • identical on-line and off-line computational paradigms with minimal code changes • flexibility in frequency of coupling WRF CMAQ AQPREP Prepares virtual CMAQ-compatible input meteorological files

  9. Coupled WRF-CMAQ Domain Setup From Wong et al., CMAS 2011 Presentation

  10. Coupled WRF-CMAQ Execution Performance From Wong et al., CMAS 2011 Presentation

  11. Coupled WRF-CMAQ Test Case Aerosol-radiation feedbacks resulted in reduced shortwave radaition reaching the surface Widespread wildfires resulted in high aerosol loading during mid/late June 2008 in California From Wong et al., CMAS 2011 Presentation

  12. Status of MEGANRecent Improvements (version 2.1) • U.S. landcover • high resolution (30-m) PFT (CLM scheme) and species composition for crops, trees, shrubs, grass. Integrates CDL, NLCD, FIA, NRCS data with adjusted NLCD in urban areas. • LAI data: MODIS 8-day for individual years • Biogenic VOC • Updated emission factors, emission activity parameters • Response to increasing CO2 • Additional compounds • Soil emissions • Biogenic VOC: soil moisture, litterfall, temperature • Nitric oxide: soil moisture, temperature and fertilizer Crops Urban

  13. Status of MEGANOngoing/Planned Activities • Integrating MEGAN into Bioearth • Coupling with VIC-RHESSys-CropSyst • Coupling with CESM/CLM (boundary conditions) • Improve soil nitrogen emissions (NO, NH3, N2O) • Add particles: pollen, fungal spores, bacteria, dust • Use MEGAN in BIOEARTH to identify scientific questions that can be addressed with a PNW regional field study • Landcover change (e.g. poplar plantations) • Interactions of biogenic emissions and anthropogenic pollution

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