radiative forcing efficiency of a forest fire smoke plume
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Radiative Forcing Efficiency of a Forest Fire Smoke Plume at the - PowerPoint PPT Presentation

Radiative Forcing Efficiency of a Forest Fire Smoke Plume at the Surface and TOA John A. Augustine 1 , Robert S. Stone 1,2 , David Rutan 3 , and Ellsworth G. Dutton 1 1 Earth System Research Laboratory, Global Monitoring Division, Boulder, CO 2


  1. Radiative Forcing Efficiency of a Forest Fire Smoke Plume at the Surface and TOA John A. Augustine 1 , Robert S. Stone 1,2 , David Rutan 3 , and Ellsworth G. Dutton 1 1 Earth System Research Laboratory, Global Monitoring Division, Boulder, CO 2 Cooperative Institute for Research in Environmental Sciences, University of Colorado 3 NASA Langley Research Center, A.S.&M ., Inc., Hampton , VA Fourmile Canyon Fire 6 Sept. 2010

  2. Our focus is to compute the Radiative Forcing Efficiency (RFE) of the smoke aerosol at the Surface and Top of Atmosphere (TOA) RFE =  Total Net Rad/unit AOD 500nm Surface, Atmosphere, and TOA RFE atmos = RFE TOA ‐ RFE sfc

  3. Why are case studies like this important? • Smoke sometimes covers large parts of the globe for several months and can affect climate variability • Case studies are useful for validating smoke aerosol parameterizations in models • Smoke particles are very small and may not be handled well by generic aerosol parameterizations • Rare comprehensive data sets like that on the Fourmile Canyon fire should be exploited Siberian Forest fires

  4. Met station M34 Met station M23 N Longmont SURFRAD E Sfc. radiation budget, AOD Sfc. radiation budget, AOD, BAO Burn Ceilometer GPS H 2 O Area Erie Boulder GPS GPS GPS 10 km NOAA Louisville AOD, optical properties Broomfield Met station M19

  5. Abundant clear ‐ sky surface measurements throughout the day allowed direct calculation of RFE sfc Net SW (Wm ‐ 2 ) Net LW (Wm ‐ 2 ) Total Net (Wm ‐ 2 )

  6. TOA – not as easy Satellite observations 1. • NASA’s Terra and Aqua polar orbiters. • First choice CERES broadband imagers • Sampling is minimal ‐‐ 1 or 2 passes per day • TOA radiative forcing is computed by comparing an aerosol case to a reference case Radiative transfer model 2.

  7. Available Satellite data 1.CERES SW and IR broadband imagers, 20 km resolution at nadir 2.MODIS 36 ‐ channel spectral imager, 1 km resolution at nadir Problems: • CERES could not resolve the Fourmile plume • MODIS could, but NASA does not do a narrowband ‐ to ‐ broadband conversion

  8. MODIS Spectral radiance to broadband conversion Tang et al. [2006], JGR used 159,000 MODTRAN runs to produce a linear model that converts the the first 7 spectral channel reflectances (  ) to SW broadband reflectance (r) RMS error = 0.01 +  1 +  2 +  3 +  4 +  5 +  6 +  7 b 7 r = b 0 b 1 b 2 b 3 b 4 b 5 b 6 where: b i = c1 i + [c2 i /(1+exp((1/cos(VZA) ‐ c3 i /c4 i ))  i =  L i d 2 /Eo i cos(SZA) L i is the measured upwelling radiance for channel i + 17 more (3660 – 14385 nm)

  9. Surface AOD measurements at BAO and SURFRAD (TBL) Aqua Terra Background AOD before fire began

  10. NASA Terra MODIS imager 1820 UTC, ~ 2 hours after the fire started Southern Wyoming Denver

  11. Terra broadband reflectance 6 Sept. 2010, 1820 UTC RMS=0.01

  12. NASA Aqua MODIS imager 2000 UTC, ~ 3.5 hours after the fire started

  13. Aqua broadband reflectance 6 Sept. 2010, 2000 UTC

  14. Terra broadband TOA SW flux 6 Sept. 2010, 1820 UTC cos(SZA)/d 2 F = r S o

  15. Calculations of SW Radiative Forcing SW forcing is dominant ‐‐ can be 20 times greater than LW forcing = [1361*cos(SZA)/d 2 ] – SW TOA (satellite) Net SW TOA RF TOA = Net SW TOA (plume) ‐ Net SW TOA (ref. area) RF sfc = AOD 500 * RFE SW (from Stone et al. 2011) RF atmos = RF TOA ‐ RF sfc

  16. RF Results (  ~ 35°) AOD 500 Sfc RF sw TOA RF sw Atmos. RF sw Atmos. heating (°K/day) SURFRAD 0.060 ( ‐ 1 min.) ‐ 0.6 Wm ‐ 2 1820 UTC 0.057 0.058 (+1 min.) Terra BAO 3.38 ‐ 512 Wm ‐ 2 ‐ 113 Wm ‐ 2 +399 Wm ‐ 2 12.6 1820 UTC 3.37 3.97 (±5%) (±6%) (±7.5%) SURFRAD 1.36 ‐ 255 Wm ‐ 2 ‐ 58 +197 8.4 2000 UTC 1.37 Wm ‐ 2 Wm ‐ 2 1.45 Aqua BAO 1.01 ‐ 187 Wm ‐ 2 ‐ 75 Wm ‐ 2 +112 Wm ‐ 2 6.5 2000 UTC 1.23 1.33 5°C cooling measured at surface

  17. RFE Results (  ~ 35°) AOD 500 Sfc RFE sw TOA RFE sw Atmos. RFE sw SURFRAD 0.060 ( ‐ 1 min.) 0 Wm ‐ 2 /AOD 1820 UTC 0.057 0.058 (+1 min.) Terra BAO 3.38 ‐ 152 Wm ‐ 2 /AOD ‐ 34 Wm ‐ 2 /AOD +118 Wm ‐ 2 /AOD 1820 UTC 3.37 3.97 (±5%) (±6%) (±7.5%) SURFRAD 1.36 ‐ 186 Wm ‐ 2 /AOD ‐ 42 +143 2000 UTC 1.37 Wm ‐ 2 /AOD Wm ‐ 2 /AOD 1.45 Aqua BAO 1.01 ‐ 152 Wm ‐ 2 /AOD ‐ 61 Wm ‐ 2 /AOD +91 Wm ‐ 2 /AOD 2000 UTC 1.23 1.33

  18. Sfc albedo = .15 SZA = ~35° RFE sw SZA = 50°, From JGR , Stone et al. 2008

  19. Summary • MODIS SW spectral to broadband conversion algorithm gives reasonable results at TOA • TOA aerosol radiative forcing computed from MODIS ‐ based broadband SW fluxes consistent with similar empirical and model case study results Plans • Model observed surface radiation fluxes with MODTRAN using the actual particle size distribution as measured by CSD, measured spectral albedo, aerosol microphysics, etc. • Model the TOA SW fluxes at the BAO and SURFRAD locations to validate the satellite ‐ based results and expand TOA calculations to the entire day • Use MODTRAN to estimate LW TOA radiative forcing of the smoke aerosol

  20. END Questions?

  21. Smoke plume Reference area aerosol Net TOA TOA Ref. Net TOA S LW LW S W W aerosol aerosol Ref. (  ) = ‐ Net TOA RF TOA Net TOA SZA  aerosol aerosol aerosol (  ) = RF TOA RF atmos. ‐ RF sfc. aerosol (  ) RF sfc Measured directly aerosol Net sfc  Sfc. albedo LW S W SURFACE

  22. Horizontal Interp olation of sounding param eters to Analytic Approximation method of Caracena SURFRAD stations (1987) used to interpolate to a 0.1 km grid Weighted su m method of Caracena (1987) f N   k F w , Weighted sum i , j i , j , k N k  1 i , j N   where : N w i , j i , j , k l  1   2   r i , j , k  exp    Gaussian weights are used: w 2 i , j , k L     L (scale length) observations (f) f 4 f 1 F i,j interpolated point r(i,j,k1) f 5 F i,j f 3 f 9 ) 2 k , j , i ( r f 2 f 8 f 6 f 7 To effect three more passes of analyzing and removing residuals, the above equation becomes:   f 4 I  6 W  4 W 2  W 3 Weighted sum with residuals   N 4   F w k i , j i , j , k removed in three successive passes N k  1 i , j where : W  crossweight matrix and : I  Identity matrix

  23. GPS water vapor data (Courtesy of Seth Gutman) NCAR Mesa Marshal NCAR foothills NCAR foothills Marshal

  24. Radiative Forcing Efficiency (RFE x ) valid for sfc. Albedo of 0.15 RFE sw ‐ 194 to 0 Wm ‐ 2 /AOD 500 Wm ‐ 2 /AOD 500 In the daytime RFE Lw +10 Wm ‐ 2 /AOD 500 Wm ‐ 2 /AOD 500 Day and night RFE all wave Wm ‐ 2 /AOD 500

  25. Terra coverage 18:18:43 to 18:19:24 UTC (41 sec.)

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