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Koichi Sakaguchi and Xubin Zeng

Effects of soil dryness, plant litter and under-canopy atmospheric stability on ground evaporation in NCAR CLM3.5. Koichi Sakaguchi and Xubin Zeng. Department of Atmospheric Sciences, The University of Arizona For CCSM Land Model Working Group Meeting. S2.

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Koichi Sakaguchi and Xubin Zeng

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  1. Effects of soil dryness, plant litter and under-canopy atmospheric stability on ground evaporation in NCAR CLM3.5 Koichi Sakaguchi and Xubin Zeng Department of Atmospheric Sciences, The University of Arizona For CCSM Land Model Working Group Meeting

  2. S2 Improvement to ET components by soil resistance (Oleson et al., 2008) LH flux (W/m2) Monthly mean diurnal cycle From Stöckli et al., 2008 • ET in other spatial & temporal scales were also improved

  3. S3 2. Implicitly includes the effect of plant litter Mesoscale model study by Song et al., 1997 : high litter content reduced evaporation at FIFE site Issues with soil resistance Physically inconsistent over wet soil (rsoil= 52 s/m at saturation) Harvard forest, 2003 simulation Blue: Green:

  4. S4 Our approach Revisited surface resistance / moisture limitation b) New formula for the explicit effect of plant litter: rlitter c) Developed a formula for under-canopy atmospheric stability Kondo et al., 1990; Mahfouf & Niolhanm, 1991; Lee & Pielke 1992 Bristow et al.,1986; Bussiére & Cellier, 1994; Schaap and Bouten, 1997 + Baldocchi et al., 2000; Niu and Yang, 2004; Miller et al., 2007;

  5. S5 Field capacity New or β Based on Lee & Pielke, 1992 θ(volumetric soil moisture content) • Reduce evaporation only when the soil is dry a) Revisited surface resistance CLM3.5 Rsoil ≈ 300 s/m

  6. S6 b) Plant litter resistance rlitter with Lllitter =1 10,000 1,000 (s/m) 100 • Converge to zero when Llitter = 0 • - Consider only dry plant litter • Snow cover effect is considered • Assumed to be isothermal with soil • For this study, Llitter = 1.0 u* (m/s) • Magnitude is comparable to soil resistance and observed litter resistance (Schaap and Bouten,1997) • Applied only over vegetated surface

  7. S7 c) Stability effect of under-canopy air CLM3.5 with Ts > Tg (stable) Ts < Tg (unstable) • maximum reduction of Cs,dense is 1/6 for stable condition, to be conservative • The model was not sensitive to modification for unstable condition

  8. S8 Average over global land from 2000 - 2004 Eg % of total ET: [New formulation] - [CLM3.5]global mean difference = -0.4% (%)

  9. S9 Monthly Eg in Western U.S. Eg % of total ET 100 50 0 Lat: 30 ~ 50°N Lon: 105 ~ 125°W LAI+SAI = 1 ~ 1.7 (Months with negative or very small E are excluded) β Litter Stability Sparse canopy Small difference

  10. S10 Monthly Eg in Europe Eg % of total ET 100 50 Barbour et al., 2005: 20~40% Williams et al., 2004: 20~30% 0 Eg is a large component of total ET. Lat: 45 ~ 60°N Lon: 0 ~ 32°E LAI+SAI = 1.2 ~ 2.8 β Litter Stability Intermediate canopy Thickness Larger improvement on ET partitioning

  11. S11 Monthly Eg in Amazon forest Eg % of total ET 100 50 (Eg% = 4% in Choudhury 1998) 0 Lat: 11°S ~ 11°N Lon: 50 ~ 72°W LAI+SAI = 4.5~5 β Litter Stability New formulation reduced Eg more. Thick canopy

  12. S12 Summary • Soil resistance in CLM3.5 significantly improved Eg compared to CLM3.0., but has two issues: • Physically inconsistent in wet soil condition • Implicitly includes litter effect • Developed more physically-based formulations for both wet and dry soil, plant litter resistance, and also under-canopy atmospheric stability. • These revisions did not change global average compared to CLM3.5, but improved ET partitioning over certain regions. • They are simple to implement. Litter resistance will also facilitate the direct use of CN-DGVM litter output in CLM Eg computation in the future.

  13. Thank you!

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