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Gravel parameterization scheme and verification using BCC_CSM

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Abstract

The soil in China contains an abundance of gravels, but it is poorly described in land surface models. To solve this problem, the Beijing Climate Center Atmosphere–Vegetation Interaction Model (BCC_AVIM), which is a land surface model with the gravel parameterization, is coupled to the Beijing Climate Center Climate System Model (BCC_CSM). The simulation ability of BCC_CSM for China using the gravel parameterization is evaluated by comparing the simulation results using default and new schemes with the observed data. The results show that the annual average surface temperature simulated with the new schemes is more consistent with the observation in terms of spatial distribution, and the simulation results are significantly improved, especially in summer. From the perspective of the area-averaged variables, more precipitation simulated using the default schemes is improved except for summer. The high-level and low-level wind fields simulated by BCC_CSM significantly improve the Qinghai-Tibet Plateau. In general, this gravel parameterization is more suitable for areas with high gravel content, and it improves the simulation performance of BCC_CSM in some areas of China.

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References

  • Alberts EE et al (1995) Chapter 7: soil component. USDA-Water Erosion Prediction Project Hillslope Profile and Watershed Model Documentation. USDA-ARS National Soil Erosion Research Laboratory., No. 10. W. Lafayette

  • Cao FQ, Dan L, Ma ZG (2014) A regional climate coupled model and its influences on climate simulation over East Asia. Chinese Journal of Atmospheric Sciences (in Chinese) 38(2):322–336

    Google Scholar 

  • Chen JK, Zhang Y, Chen JS (2009) Characteristics of soil temperature and its response to air temperature under different tillage systems —— characteristics of soil temperature and thermal properties. Sci Agric Sin 42(8):2747–2753 (in Chinese). https://doi.org/10.3864/j.issn.0578-1752.2009.08.013

  • Clapp RB, Hornberger GM (1978) Empirical equations for some soil hydraulic properties. Water Resour Res 14:601–604

    Article  Google Scholar 

  • Cosby BJ, Hornberger GM, Clapp RB, Ginn TR (1984) A statistical exploration of the relationships of soil moisture characteristics to the physical properties of soils. Water Resour Res 20:682–690

    Article  Google Scholar 

  • Côté J, Konrad J-M (2005) A generalized thermal conductivity model for soils and construction materials. Can Geotech J 42:443–458

    Article  Google Scholar 

  • Cousin I, Nicoullaud B, Coutadeur C (2003) Influence of rock fragments on the water retention and water percolation in a calcareous soil. Catena 53:97–114

    Article  Google Scholar 

  • Dai YJ, Zeng QC (1996) Study on land surface processes. Adv Water Sci 7(S1):40–53

    Google Scholar 

  • Danalatos NG, Kosmas CS, Moustakas NC, Yassoglou N (1995) Rock fragments II: their impact on soil physical properties and biomass production under Mediterranean conditions. Soil Use Manage 11(3):121–126

    Article  Google Scholar 

  • Dong M, Wu TW, Wang ZZ (2009) Simulation of the tropical interseasonal oscillations by the AGCM of the Beijing Climate Center. Acta Meteorol Sinica 67(06):912–922

    Google Scholar 

  • Farouki OT (1981) The thermal properties of soils in cold regions. Cold Reg Sci Technol 5:67–75. https://doi.org/10.1016/0165-232X(81)90041-0

    Article  Google Scholar 

  • Fu SH, Duan SH, Liu BY (2001) The impact of land use on soil texture in Shixia watershed of Miyun County, Beijing. Geogr Res 20(6):697–702

    Google Scholar 

  • Gao Y, Fu SH, Luo LJ (2011) Study on the relationship between rock fragments cover and weight percentage in Beijing Mountain. Res Soil Water Conserv (in Chinese) 18(04):145–149

    Google Scholar 

  • Guo Z, Wu CQ, Zhou TJ (2011) A comparison of cloud radiative forcings simulated by LASG/IAP and BCC atmospheric general circulation models. Chinese Journal of Atmospheric Sciences (in Chinese) 35(4):739–752

    Google Scholar 

  • Hanson CT, Blevins RL (1979) Soil water in coarse fragments. Soil Sci Soc Am J 43(4):819–820. https://doi.org/10.2136/sssaj1979.03615995004300040044x

    Article  Google Scholar 

  • He JH, Qi L, Wei J (2007) Reinvestigations on the East Asian subtropical monsoon and tropical monsoon. Chin J Atmos Sci 31(6):1257–1265 (in Chinese)

  • He YJ, Yi SH, Guo XL (2017) Experimental study on thermal conductivity of soil with gravel on the Qinghai-Tibet Plateau. J Glaciol Geocryol 39(2):343–350. https://doi.org/10.7522/j.issn.1000-0240.2017.0039

    Article  Google Scholar 

  • Heisner U, Raber B, Hildebrand EE (2004) The importance of the soil skeleton for plant-available nutrients in sites of the southern black forest, Germany. Eur J Forest Res 123:249–257

    Article  Google Scholar 

  • Hou QC (1993) Comprehensive analysis on natural conditions and environmental harnessing in the experimental area. Memoir of the northwestern institute of soil and water conservation. Acad Sin Minist Water Res 02:136–144 (in Chinese)

  • Jackson LP, Hall IV, Aalders LE (1972) Lowbush blueberry seedling growth as affected by soil type. CanJ Soil Sci 52:113–115

    Article  Google Scholar 

  • Ji JJ (1995) A climate-vegetation interaction model: Simulating physical and biological processes at the surface. J Biogeogr 445-451. https://doi.org/10.2307/2845941

  • Ji JJ, Huang M, Li KR (2008) Prediction of carbon exchanges between China terrestrial ecosystem and atmosphere in 21st century. Sci China Ser D Earth Sci 51(6):885–898. https://doi.org/10.1007/s11430-008-0039-y

    Article  Google Scholar 

  • Kalney E (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 74:789–799

    Google Scholar 

  • Luo SQ, Lyu SH, Zhang Y (2009) Soil thermal conductivity parameterization establishment and application in numerical model of central Tibetan Plateau. Chin J Geophys 52:919–928. https://doi.org/10.3969/j.issn.0001-5733.2009.04.008

    Article  Google Scholar 

  • Ma DH, Shao MG (2008) Simulating infiltration into stony soils with a dual-porosity model. Eur J Soil Sci 59:950–959

    Article  Google Scholar 

  • Ma CL, Lyu SH, Pan YJ (2020) Application and test of land surface model gravel parameterization in BCC_AVIM land surface model. Plateau Meteorol 39(6):1232–1245

    Google Scholar 

  • Mehuys G, Stolzy L, Letey J, Weeks L (1975) Effect of stones on the hydraulic conductivity of relatively dry desert soils. Soil Sci Soc Am J 39:37–42

    Article  Google Scholar 

  • Pan YJ, Lyu SH, Gao YH (2015) Simulation of influence of gravel on soil thermal and hydraulic properties on Qinghai-Xizang Plateau. Plateau Meteorology 34:1224–1236. https://doi.org/10.7522/j.issn.1000-0534.2014.00055

    Article  Google Scholar 

  • Pan YJ, Lyu SH, Li SS (2017) Simulating the role of gravel in freeze-thaw process on the Qinghai-Tibet Plateau. Theor Appl Climatol 127(3):1011–1022

    Article  Google Scholar 

  • Peck A, Watson J (1979) Hydraulic conductivity and flow in non-uniform soil. In: Workshop on soil physics and field heterogeneity. CSIRO Division of Environmental Mechanics, Canberra

    Google Scholar 

  • Poesen J, Lavee H (1994) Rock fragments in top soils—significance and processes. Catena 23:1–28

    Article  Google Scholar 

  • Russo D (1983) Leaching characteristics of a stony desert soil. Soil Sci Soc Am J 47(3):431–438

    Article  Google Scholar 

  • Shangguan W, Dai YJ, Duan QY (2014) A global soil data set for earth system modeling. J Adv Model Earth Syst 6:249–263. https://doi.org/10.1002/2013MS000293

    Article  Google Scholar 

  • Sun SF (2002) Advance in land surface process study. Xinjiang Meteorol (in Chinese) 06:1–6

    Google Scholar 

  • Sun L, An G, Xl T (2003) Relationship between the Northeast Asian summer south wind anomaly and the precipitation in Northeast China. Chin J Atmos Sci (in Chinese) 27(3):425–434

    Google Scholar 

  • Taylor KE (2001) Summarizing multiple aspects of model performance in a single diagram. J Geophys Res 106(7):7183–7192. https://doi.org/10.1029/2000JD900719

    Article  Google Scholar 

  • Wang AH, Lettenmaier DP, Sheffield J (2011) Soil moisture drought in China, 1950–2006. J Clim 24(13):3257–3271

    Article  Google Scholar 

  • Wu T (2012) A mass-flux cumulus parameterization scheme for large-scale models: description and test with observations. Clim Dyn 38(3):725–744. https://doi.org/10.1007/s00382-011-0995-3

    Article  Google Scholar 

  • Wu R, Zhang YC (2012) Performance of RegCM3 in simulating the rainfall and associated circulation in Meiyu period of Yangtze and Huaihe River valleys. J Meteorol Sci (in Chinese) 32(2):119–126

    Google Scholar 

  • Wu TW, Song LC, Li WP (2014a) Progress of climate system model development in Beijing Climate Center - application to climate change research. J Meteorol 72(1):12–29

    Google Scholar 

  • Wu LG, Wang AH, Sheng YP (2014b) Impact of soil texture on the simulation of land surface processes in China. Clim Environ Res (in Chinese) 19(5):559–571

    Google Scholar 

  • Wu TW, Lu YX, Fang YJ (2019) The Beijing Climate Center climate system model (BCC-CSM): the main progress from CMIP5 to CMIP6. Geosci Model Dev 12(4):1573–1600

    Article  Google Scholar 

  • Yamanaka T, Inoue M, Kaihotsu I (2004) Effects of gravel mulch on water vapor transfer above and below the soil surface. Agric Water Manag 67(2):145–155

    Article  Google Scholar 

  • Yi S, Chen J, Wu Q, Ding Y (2013) Simulating the role of gravel on the dynamics of permafrost on the Qinghai-Tibetan Plateau. Cryosphere Discuss 7:4703–4740

    Google Scholar 

  • Yuan Y, Ma YM, Zuo HC (2021) Modification and comparison of thermal and hydrological parameterization schemes for different underlying surfaces on the Tibetan Plateau in the warm season. J Geophys Res-Atmos 126:e2021JD035177. https://doi.org/10.1029/2021JD035177

    Article  Google Scholar 

  • Zhang Q (1998) Simple review of land surface process model. Scientia Meteorologica Sinica 18(3):295–304 (in Chinese)

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Acknowledgements

Thanks to the National Climate Center for providing the BCC model in Tianhe. We thank Nanjing Hurricane Translation for reviewing the English language quality of this paper.

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Code availability

No code was developed in the current study.

Funding

This work was supported by the Second Tibetan Plateau Scientific Expedition and Research (STEP) program (Grant No. 2019QZKK0103) and the National Natural Science Foundation of China (Grant No. 41975007, 91837208).

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Contributions

Xu analyzed the data and wrote the paper; Lyu guided the research ideas; Ma, Zhang, Ma and Liu suggested improvements to the research method and program code.

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Correspondence to Shihua Lyu.

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Xu, Y., Lyu, S., Ma, Y. et al. Gravel parameterization scheme and verification using BCC_CSM. Theor Appl Climatol 148, 1647–1661 (2022). https://doi.org/10.1007/s00704-022-04015-6

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  • DOI: https://doi.org/10.1007/s00704-022-04015-6

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