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Response of surface air temperature to the change of leaf area index in the source region of the Yellow River by the WRF model

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Abstract

Leaf area index (LAI) is a crucial land-atmosphere exchange parameter. LAI change can cause a variation of other land surface parameter. In this research, three experiments were conducted to investigate the impact of LAI and albedo change on surface air temperature in the source region of the Yellow River (SRYR) using the Weather Research and Forecasting (WRF) model. Three experiments used the same settings, initial and boundary conditions except for the LAI and albedo data. The control simulation (CTL) used the WRF model climatological LAI data, the second simulation (LAI) used the Moderate Resolution Imaging Spectroradiometer (MODIS) LAI data, and the third simulation (LAIALB) used the MODIS LAI and MODIS albedo. The results show MODIS LAI is greater by 34.5% than WRF climatological LAI, and the MODIS albedo is lower by 24.3% than WRF climatological albedo over the whole growing season of 2006 in SRYR. All the experiments can simulate the surface air temperature (Ta) spatial distribution characteristics, but underestimate the values of 1.3 °C in CTL experiment and 0.6 °C in LAIALB experiment in SRYR. The simulated Ta by LAI experiment is lower 0.1 °C than by the CTL experiment, but the simulated Ta by the LAIALB experiment is obviously higher 0.6 °C than the CTL experiment. The LAI experiment shows a cooling effect because the higher MODIS LAI decreases the canopy resistance, which induces a positive average 2.1 Wm−2 latent heat flux (LH) and a negative average − 2.1 Wm−2 sensible heat flux (Hs). The LAIALB experiment presents a warming effect because of low MODIS albedo comparing WRF albedo, which changes the radiation components and results in an obvious negative − 14.0 Wm−2 upward short wave radiation, a positive 11.7 Wm−2 net radiation, and a positive 10.9 Wm−2 heat flux. In fact, more precipitation produces more snow and high surface albedo in the WRF model, which results in a cold temperature bias in SRYR.

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References

  • Alessandri A, Catalano F, De Felice M, Van Den Hurk B, Reyes FD, Boussetta S, Balsamo G, Miller PA (2017) Multi-scale enhancement of climate prediction over land by increasing the model sensitivity to vegetation variability in EC-Earth. Clim Dyn 49(4):1215–1237

    Article  Google Scholar 

  • Bougeault P, Lacarrere P (1989) Parameterization of orography-induced turbulence in a mesobeta—scale model. Mon Weather Rev 117(8):1872–1890

    Article  Google Scholar 

  • Boussetta S, Balsamo G, Beljaars A, Kral T, Jarlan L (2013) Impact of a satellite-derived leaf area index monthly climatology in a global numerical weather prediction model. Int J Remote Sens 34(9-10):3520–3542

    Article  Google Scholar 

  • Boussetta S, Balsamo G, Dutra E, Beljaars A, Albergel C (2014) Analysis of surface albedo and leaf area index from satellite observations and their impact on numerical weather prediction. ECMWF Technical Memoranda 740:5–10

    Google Scholar 

  • Carlson TN, Ripley DA (1997) On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sens Environ 62(3):241–252

    Article  Google Scholar 

  • Chen F, Dudhia J (2001) Coupling an advanced land surface–hydrology model with the Penn State–NCAR MM5 modeling system. Part I: model implementation and sensitivity. Mon Weather Rev 129(4):569–585

    Article  Google Scholar 

  • Chen F, Kusaka H, Bornstein R, Ching J, Grimmond C, Grossman-Clarke S, Loridan T, Manning KW, Martilli A, Miao S (2011) The integrated WRF/urban modelling system: development, evaluation, and applications to urban environmental problems. Int J Climatol 31(2):273–288

    Article  Google Scholar 

  • Csiszar I, Gutman G (1999) Map** global land surface albedo from NOAA AVHRR. J Geophys Res-Atmos 104(D6):6215–6228

    Article  Google Scholar 

  • Deardorff J (1978) Efficient prediction of ground surface temperature and moisture, with inclusion of a layer of vegetation. J Geophys Res Oceans 83(C4):1889–1903

    Article  Google Scholar 

  • Dorman J, Sellers PJ (1989) A global climatology of albedo, roughness length and stomatal resistance for atmospheric general circulation models as represented by the simple biosphere model (SiB). J Appl Meteorol 28(9):833–855

    Article  Google Scholar 

  • Dudhia J (1989) Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model. J Atmos Sci 46(20):3077–3107

    Article  Google Scholar 

  • Evans J, Zaitchik B (2008) Modeling the large-scale water balance impact of different irrigation systems. Water Resour Res 44(8)

  • Fang Y (2013) Managing the three-rivers headwater region, China: from ecological engineering to social engineering. Ambio. 42(5):566–576

    Article  Google Scholar 

  • Gao Y, Lan C, Zhang Y (2014) Changes in moisture flux over the Tibetan Plateau during 1979–2011 and possible mechanisms. J Clim 27(5):1876–1893

    Article  Google Scholar 

  • Gao Y, Leung LR, Zhang Y, Cuo L (2015a) Changes in moisture flux over the Tibetan Plateau during 1979–2011: insights from a high-resolution simulation. J Clim 28(10):4185–4197

    Article  Google Scholar 

  • Gao Y, Xu J, Chen D (2015b) Evaluation of WRF mesoscale climate simulations over the Tibetan Plateau during 1979–2011. J Clim 28(7):2823–2841

    Article  Google Scholar 

  • Giard D, Bazile E (2000) Implementation of a new assimilation scheme for soil and surface variables in a global NWP model. Mon Weather Rev 128(4):997–1015

    Article  Google Scholar 

  • Gu H, Ma Z, Li M (2016) Effect of a large and very shallow lake on local summer precipitation over the Lake Taihu basin in China. J Geophys Res-Atmos 121(15):8832–8848

    Article  Google Scholar 

  • Hales K, Neelin JD, Zeng N (2004) Sensitivity of tropical land climate to leaf area index: role of surface conductance versus albedo. J Clim 17(7):1459–1473

    Article  Google Scholar 

  • Hao Z, Li L, Zhang L, Wang J, Wang Z, Shi X, Hao J (2009) Applicability of GCMS in head region of Yellow River. J Hohai Univ (Nat Sci) (01):7–11 (in Chinese)

  • Hong SY, Lim JOJ (2006) The WRF single-moment 6-class microphysics scheme (WSM6). J Korean Meteorol Soc 42(2):129–151

    Google Scholar 

  • Hong SY, Dudhia J, Chen S-H (2004) A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation. Mon Weather Rev 132(1):103–120

    Article  Google Scholar 

  • Houldcroft CJ, Grey WM, Barnsley M, Taylor CM, Los SO, North PR (2009) New vegetation albedo parameters and global fields of soil background albedo derived from MODIS for use in a climate model. J Hydrometeorol 10(1):183–198

    Article  Google Scholar 

  • Hu G, ** H, Dong Z, Lu J, Yan C (2013) Driving forces of aeolian desertification in the source region of the Yellow River: 1975–2005. Environ Earth Sci 70(7):3245–3254

    Article  Google Scholar 

  • Hui P (2011) Evaluation of regional climate simulation in source region of Yellow River. In: The 28th annual meeting of Chinese Meteorological Society, 17, **amen (in Chinese)

  • Jacquemin B, Noilhan J (1990) Sensitivity study and validation of a land surface parameterization using the HAPEX-MOBILHY data set. Bound-Layer Meteorol 52(1):93–134

    Article  Google Scholar 

  • Jiménez PA, Dudhia J, González-Rouco JF, Navarro J, Montávez JP, García-Bustamante E (2012) A revised scheme for the WRF surface layer formulation. Mon Weather Rev 140(3):898–918

    Article  Google Scholar 

  • Knote C, Bonafe G, Di Giuseppe F (2009) Leaf area index specification for use in mesoscale weather prediction systems. Mon Weather Rev 137(10):3535–3550

    Article  Google Scholar 

  • Kumar A, Chen F, Barlage M, Ek MB, Niyogi D (2014) Assessing impacts of integrating MODIS vegetation data in the weather research and forecasting (WRF) model coupled to two different canopy-resistance approaches. J Appl Meteorol Climatol 53(6):1362–1380

    Article  Google Scholar 

  • Lan C, Zhang Y, Gao Y, Hao Z, Cairang L (2013) The impacts of climate change and land cover/use transition on the hydrology in the upper Yellow River Basin, China. J Hydrol 502:37–52

    Article  Google Scholar 

  • Li L, Zhu X, Wang Q, Wang Z (2005) Map** and analyses of permafrost change in the Qinghai Plateau using GIS. J Glaciol Geocryol 27(3):320–328 (in Chinese)

    Google Scholar 

  • Li S, Lü S, Gao Y, Ao Y (2015) The change of climate and terrestrial carbon cycle over Tibetan Plateau in CMIP5 models. Int J Climatol 35(14):4359–4369

    Article  Google Scholar 

  • Liang L, Li L, Liu C, Cuo L (2013) Climate change in the Tibetan Plateau three rivers source region: 1960–2009. Int J Climatol 33(13):2900–2916

    Article  Google Scholar 

  • Liu X, Ren Z, Lin Z, Liu Y, Zhang D (2013) The spatial-temporal changes of vegetation coverage in the Three-River Headwater Region in recent 12 years. Acta Geograph Sin 68(7):897–908 (in Chinese)

    Google Scholar 

  • Lo JCF, Yang ZL, Pielke RA (2008) Assessment of three dynamical climate downscaling methods using the Weather Research and Forecasting (WRF) model. J Geophys Res-Atmos 113(D9):1–16

    Article  Google Scholar 

  • Ma T, Song X, Zhao X, Li R (2016) Spatiotemporal variation of vegetation coverage and its affecting factors in the headwaters of the Yellow River during the period of 2000–2010. Arid Zone Res (06):1217–1225 (in Chinese)

  • Mao Y, Wang K (2017) Comparison of evapotranspiration estimates based on the surface water balance, modified Penman-Monteith model, and reanalysis data sets for continental China. J Geophys Res-Atmos 122(6):3228–3244

    Article  Google Scholar 

  • Meng X, Lyu S, Zhang T, Zhao L, Li Z, Han B, Li S, Ma D, Chen H, Ao Y (2018) Simulated cold bias being improved by using MODIS time-varying albedo in the Tibetan Plateau in WRF model. Environ Res Lett 13(4):044028

    Article  Google Scholar 

  • Mlawer EJ, Taubman SJ, Brown PD, Iacono MJ, Clough SA (1997) Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. J Geophys Res-Atmos 102(D14):16663–16682

    Article  Google Scholar 

  • NMIC (National Meteorological Information Center) (2012) Assessment report of China’s surface air temperature 0.5° × 0.5° Gridded Dataset (V2.0). NMIC, Bei**g (in Chinese)

    Google Scholar 

  • Shen M, Piao S, Jeong S-J, Zhou L, Zeng Z, Ciais P, Chen D, Huang M, ** C-S, Li LZ (2015) Evaporative cooling over the Tibetan Plateau induced by vegetation growth. Proc Natl Acad Sci U S A 112(30):9299–9304

    Article  Google Scholar 

  • Shi D (2016) The response of NDVI-based vegetation during growing season to climate factors in the Yellow River Source Region. M.S. Diss, Yunnan University, Kunming, China. (in Chinese).

  • Skamarock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Wang W, Powers JG (2005) A description of the advanced research WRF version 3. NCAR Technical 113:7–25

    Google Scholar 

  • Su F, Duan X, Chen D, Hao Z, Cuo L (2013) Evaluation of the global climate models in the CMIP5 over the Tibetan Plateau. J Clim 26(10):3187–3208

    Article  Google Scholar 

  • Tian H, Lan Y, Wen J, ** H, Wang C, Wang X, Kang Y (2015) Evidence for a recent warming and wetting in the source area of the Yellow River (SAYR) and its hydrological impacts. J Geogr Sci 25(6):643–668

    Article  Google Scholar 

  • Viterbo P, Beljaars AC (1995) An improved land surface parameterization scheme in the ECMWF model and its validation. J Clim 8(11):2716–2748

    Article  Google Scholar 

  • Wang K, Liu J, Zhou X, Sparrow M, Ma M, Sun Z, Jiang W (2004) Validation of the MODIS global land surface albedo product using ground measurements in a semidesert region on the Tibetan Plateau. J Geophys Res-Atmos 109(D5):1–9

    Article  Google Scholar 

  • Wang P, Tang G, Cao L, Liu Q, Ren Y (2012) Surface air temperature variability and its relationship with altitude and latitude over the Tibetan Plateau in 1981–2010. Adv Clim Chang Res 8(5):313–319 (in Chinese)

    Google Scholar 

  • Xu J (2015) Complex response of runoff–precipitation ratio to the rising air temperature: the source area of the Yellow River, China. Reg Environ Chang 15(1):35–43

    Article  Google Scholar 

  • Xu X, Liu J, Shao Q, Fan J (2008) The dynamic changes of ecosystem spatial pattern and structure in the Three-River Headwaters region in Qinghai Province during recent 30 years. Geogr Res 27(4):829–838 (in Chinese)

    Google Scholar 

  • Yan L, Zheng M (2015) The response of lake variations to climate change in the past forty years: a case study of the northeastern Tibetan Plateau and adjacent areas, China. Quat Int 371:31–48

    Article  Google Scholar 

  • Yang L (2016) Spatial-temporal variation of NDVI and analysis of climate response in the source region of the Yellow River from 2000 to 2014. M.S. Diss, Chengdu University of Technology, Chengdu, China. (in Chinese)

  • Yang Y, Piao S (2006) Variations in grassland vegetation cover in relation to climatic factors on the Tibetan Plateau. Chin J Plant Ecol 30(1):1–8 (in Chinese)

    Article  Google Scholar 

  • Yu E, Wang H, Sun J, Gao Y (2013) Climatic response to changes in vegetation in the Northwest Hetao Plain as simulated by the WRF model. Int J Climatol 33(6):1470–1481

    Article  Google Scholar 

  • Yu E, Sun J, Chen H, **ang W (2015) Evaluation of a high-resolution historical simulation over China: climatology and extremes Clim. Dyn. 45:1–19

    Google Scholar 

  • Zhang X, Tang Q (2013) Response of simulated surface air temperature to the interannual variability of leaf area index in eastern China. Adv Meteorol 2013(18):148–152

    Google Scholar 

  • Zhen X (2017) The analysis of influence factor of three-river-source national park operating system. Reform Openning (6):23–24 (in Chinese)

  • Zheng D, Van Der Velde R, Su Z, Wen J, Wang X, Booij MJ, Hoekstra AY, Lv S, Zhang Y, Ek MB (2016) Impacts of Noah model physics on catchment-scale runoff simulations. J Geophys Res-Atmos 121(2):807–832

    Article  Google Scholar 

Download references

Acknowledgments

The authors thank Professor **anhong Meng and Doctor Lin Zhao for providing the help of remote sensing data and the model initial data processing, and the authors also acknowledge computing resources and time on the Supercomputing Center of Northwest Institute of Eco-Environment and Resources of Chinese Academy of Sciences.

Funding

This research was financially supported by the National Key R&D Program of China (2017YFC1502101) and the National Natural Science Foundation of China (91537105, 91537211, 41205076, 41805079, 91637107, GZ1259).

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Authors and Affiliations

  1. Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China

    Suosuo Li, Yanhong Gao & Yongjie Pan

  2. Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, China

    Shihua Lyu

  3. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nan**g University of Information Science & Technology, Nan**g, China

    Shihua Lyu

  4. Key Laboratory of Arid Climatic Change and Reduction Disaster, Gansu Province and Key Laboratory of Arid Climatic Change and Reduction Disaster, CMA, Institute of Arid Meteorology, China Meteorological Administration, Lanzhou, China

    Yuanpu Liu

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  1. Suosuo Li
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Correspondence to Yanhong Gao.

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Li, S., Gao, Y., Lyu, S. et al. Response of surface air temperature to the change of leaf area index in the source region of the Yellow River by the WRF model. Theor Appl Climatol 138, 1755–1765 (2019). https://doi.org/10.1007/s00704-019-02931-8

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