Abstract
It is well known that land use has an important impact on surface energy partition. It is important to study the evolving trend of the partition of sensible heat flux (SHF) and latent heat flux (LHF) from the net radiance (NR) with land use change in the context of regional climate changes. In this paper, we studied the response of energy partition to land use using the Noah model. First, the Noah model simulation results of SHF and LHF between 2003 and 2005 were comprehensively validated using the observation data from the Changbai Mountain Station, the Xilinhot Station, and the Yucheng Station. The study domains represent three different types of land use change: excessive deforestation, grassland degeneration aggravation, and groundwater level decline, respectively. The study period was subsequently extended from 2015 through 2034, using four projected land use maps and forcing data from Princeton (2000–2004). The simulation results show that during the land use conversions, the annual average of LHF drops by 10.7%, rises by 10.1%, and drops by 11.5% for the Changbai Mountain, Inner Mongolia, and Northern China stations, respectively while the annual average of SHF rises by 10.6%, drops by 10.1%, and drops by 11.3% for the three areas.
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Cao J, Cheng X, Li X (2009). Groundwater use and its management: policy and institutional options in rural areas of North China. Groundwater Governance in the Indo-Gangetic and Yellow River Basins: Realities and Challenges, 201–220
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
Chen S P, Chen J Q, Lin G H, Zhang WL, Miao H X, Wei L, Huang J H, Han X G (2009). Energy balance and partition in Inner Mongolia steppe ecosystems with different land use types. Agric Meteorol, 149(11): 1800–1809
Dai Y J, Zeng X, Dickinson R E, Baker I, Bonan G B, Bosilovich M G, Denning A S, Dirmeyer P A, Houser P R, Niu G, Oleson K W, Schlosser C A, Yang Z L (2003). The common Land Model (CLM) version 1.0. Bull Am Meteorol Soc, 84(8): 1013–1023
Deng X Z, Huang J K, Rozelle S, Uchida E (2006). Cultivated land conversion and potential agricultural productivity in China. Land Use Policy, 23: 372–384
Deng X Z, Huang J K, Rozelle S, Uchida E (2008). Growth, population and industrialization and urban land expansion of China. J Urban Econ, 63(1): 96–115
Deng X Z, Jiang Q O, Zhan J Y, He S J, Lin Y Z (2010). Simulation on the dynamics of forest area changes in Northeast China. J Geogr Sci, 20(4): 495–509
Dirmeyer P A (2011). A history and review of the global soil wetness project (GSWP). J Hydrometeor, 12, 729–749.
House-Peters L A, Chang H (2011). Modeling the impact of land use and climate change on neighborhood-scale evaporation and nighttime cooling: a surface energy balance approach. Landsc Urban Plan, 103(2): 139–155
Kishtawal C, Niyogi D, Tewari M, Pielke R A, Shepherd M (2009). Urbanization signature in the observed heavy rainfall climatology over India. International Journal of Climatology, doi: 10.1002/joc.2044
Liu J Y, Zhang Z X, Zhuang D F, Zhang S W, Li X B (2005). Research on the Temporally Change of Chinese Land Use Using Remote Sensing in 1990s (In Chinese). Beijing: Science Press
Mahrt L, Ek M (1984). The influence of atmospheric stability on potential evaporation. J Clim Appl Meteorol, 23(2): 222–234
Miller D A, White R A (1998). A conterminous United States multilayer soil characteristics dataset for regional climate and hydrology modeling. Earth Interactions, 2(2): 1–13.
Meng C L, Li Z L, Zhan X, Shi J C, Liu C Y (2009). Land surface temperature data assimilation and its impact on evapotranspiration estimates from the Common Land Model. Water Resour Res, 45(2): W02421
Niu G Y, Yang Z L, Mitchell K E, Chen F, Ek M B, Barlage M, Kumar A, Manning K, Niyogi D, Rosero E, Tewari M, Xia Y (2011). The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local scale measurements. J Geophys Res, 116(D12): D12109
Pan H L, Mahrt L (1987). Interaction between soil hydrology and boundary layer developments. Boundary-Layer Meteorol, 38(1–2): 185–202
Peters-Lidard C D, Zion M S, Wood E F (1997). A soil-vegetationatmosphere transfer scheme for modeling spatially variable water and energy balance processes. J Geophys Res, 102(D4): 4303–4324
Pipunic R C, Walker J P, Western A (2008). Assimilation of remotely sensed data for improved latent and sensible heat flux prediction: a comparative synthetic study. Remote Sens Environ, 112(4): 1295–1305
Qin J, Liang S L, Yang K, Kaihotsu I, Liu R G, Koike T (2009). Simultaneous estimation of both soil moisture and model parameters using particle filtering method through the assimilation of microwave signal. J Geophys Res, 114(D15): D15103
Reynolds C, Jackson T, Rawls W (1999). Estimating available water content by linking the FAO soil map of the world with global soil profile database and pedo-transfer functions. American Geophysical Union Fall Meeting, EOS Transactions
Rozelle S, Huang J K, Zhang L X (1997). Poverty, population and environmental degradation in China. Food Policy, 22(3): 229–251
Sridhar V, Elliott R L, Chen F (2003). Scaling effects on modeled surface energy-balance components using the NOAH-OSU land surface model. J Hydrol (Amst), 280(1–4): 105–123
Sridhar V, Elliott R L, Chen F, Brotzge J A (2002). Validation of the NOAH-OSU Land surface model using surface flux measurements in Oklahoma. Journal of Geophysical Research, 107(D20), 4418
Verburg P H, Overmars K P (2009). Combining top-down and bottomup dynamics in land use modeling: exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model. Landscape Ecol, 24(9): 1167–1181
Verdin K L, Greenlee S K (1996). Development of continental scale digital elevation models and extraction of hydrographic features. Proceedings of Third International Conference/Workshop on Integrating GIS and Environmental Modeling, National Center for Geographic Information and Analysis, Santa Fe, January, NM, 21–26
Xu T R, Liang S L, Liu S M (2011). Estimating turbulent fluxes through assimilation of geostationary operational environmental satellites data using ensemble Kalman filter. J Geophys Res, 116(D9): D09109
Yang G, Bowling L C, Cherkauer K A, Pijanowski B C, Niyogi D (2010). Hydroclimatic response of watersheds to urban intensity-an observational and modeling based analysis for the White River Basin, Indiana. J Hydrometeorol, 11(1): 122–138
Yang Z L, Niu G Y, Mitchell K E, Chen F, Ek M B, Barlage M, Longuevergne L, Manning K, Niyogi D, Tewari M, Xia Y (2011). The community Noah land surface model with multiparameterization options (Noah-MP): 2. Evaluation over global river basins. Journal of Geophysical Research, 116: D12110
Zhang C L, Chen F, Miao S G, Li Q C, Xia X A, Xuan C Y (2009). Impacts of urban expansion and future green planting on summer precipitation in the Beijing metropolitan area. J Geophys Res, 114(D2): D02116
Zhang R H, Tian J, Li Z L, Su H B, Chen S H, Tang X Z (2010). Principles and methods for the validation of quantitative remote sensing products. Science China Earth Sciences, 53(5): 741–751
Zhang R H, Tian J, Su H B, Sun X M, Chen S H, Xia J (2008). Two improvements of an operational two-layer model for terrestrial surface heat flux retrieval. Sensors (Basel Switzerland), 8(10): 6165–6187
Zobler L (1986). A world soil file for global climate Modelling. NASA Technical Memorandum #87802
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Chen, S., Su, H. & Zhan, J. Estimating the impact of land use change on surface energy partition based on the Noah model. Front. Earth Sci. 8, 18–31 (2014). https://doi.org/10.1007/s11707-013-0400-0
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DOI: https://doi.org/10.1007/s11707-013-0400-0