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R. A. Pielke, G. A. Dalu, J. S. Snook, T. J. Lee, and T. G. F. Kittel

VOLUME4 JOURNAL OF CLIMATE NOVEMBER 1991Nonlinear Influence of Mesoscale Land Use on Weather and Climate R. A. PIELKE,* G. A. DALU,**'@ J. S. SNOOK,+ T. J. LEE,* AND T. G. F. KITTEL**'~:* Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado**Cooperative Institute for Research in the Atmosphere (CIRA ), Colorado State University, Fort Collins, Colorado~ lnstitute for Atmospheric

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Franklin B. Schwing and Jackson O. Blanton

JANUARY 1984 FRANKLIN B. SCHWING AND JACKSON O. BLANTON 193The Use of Land and Sea Based Wind Data in a Simple Circulation ModelFRANKLIN B. SCHWING AND JACKSON O. BLANTONSkidaway Institute of Oceanography, Savannah, GA 31416(Manuscript received 12 May 1983, in final form 13 September 1983)ABSTRACT The use of land based wind data in nearshore oceanographic work is common, but these winds do notaccurately reflect coastal

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José L. Hernández, Syewoon Hwang, Francisco Escobedo, April H. Davis, and James W. Jones

analysis by Kautz et al. (2007) , who showed a significant land use change (LUC) of several nonurban categories into urban or developed. The authors report urban conversions of 14.02% for agriculture and pasture areas, 36.27% for shrubland, 25.44% for dry prairie, and 11.32% for upland forests. Recent studies in Florida include not only the geographical description of land use and land cover change, but the impact of such transformations on climate conditions. Modeling the impact of landscape

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Keith J. Harding, Tracy E. Twine, and Yaqiong Lu

contiguous United States; however, the impacts on precipitation were not investigated. Here, we expand on the work of Lu et al. (2015) and for the first time examine how dynamic crop growth impacts the simulated effect of irrigation on warm-season precipitation and its drivers. We used high-resolution (6.33-km model grid cell resolution) simulations of a version of the Weather Research and Forecasting (WRF) Model that is coupled to the Community Land Model version 4.0 with dynamic crop growth (WRF-CLM4

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Yuqiong Liu, Hoshin V. Gupta, Soroosh Sorooshian, Luis A. Bastidas, and William J. Shuttleworth

performed on both land and atmospheric parameters. Further, as indicated by Gupta and Sorooshian (1985) , the quantity and quality of data play a critical role in determining the success of the parameter estimation procedure, and the informativeness of the data is far more important than the length and amount used for parameter estimation. In the coupled environment, data related to both land surface and atmospheric fluxes/variables can be used to facilitate more effective extraction of information

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Yihua Wu and Sethu Raman

Introduction Land-use patterns significantly modify physical characteristics of the ground and cause heteorogeneities in the surface features. Their effect on mesoscale atmospheric circulations is due to the generation of horizontal differential heating or strong contrasts in surface thermal fluxes. In many situations, these locally induced circulations are important in determining mesoscale weather conditions. Since the 1980s, the effects of land surface heterogeneity on mesoscale circulations

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G. Yosef, P. Alpert, C. Price, E. Rotenberg, and D. Yakir

1. Introduction There is much interest in the impact of land-use change (LUC) on local climate ( Costa and Pires 2010 ; Fall et al. 2010a , b ; Brovkin et al. 2013 ; Deng et al. 2013 ). Numerical simulations using complex models of the atmosphere have shown that the presence or absence of vegetation could influence the local climate of the region in question, for example, Charney (1975) and Shukla and Mintz (1982) . Deforestation and overgrazing, as studied in the Amazon forest and the

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Sarah Chapman, Marcus Thatcher, Alvaro Salazar, James E. M. Watson, and Clive A. McAlpine

tropical and subtropical cities ( Arnfield 2003 ). Given the projected high rates of future urban growth in tropical and subtropical cities, and that temperatures and heat stress are already high for most of the year ( Hyatt et al. 2010 ), understanding the UHI effect in these cities is important. The UHI occurs when urban areas are warmer than rural areas and is caused by the conversion of the land surface to urban uses ( Arnfield 2003 ). The UHI increases as cities grow in size and density ( Arnfield

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Danlu Cai, Klaus Fraedrich, Frank Sielmann, Ling Zhang, Xiuhua Zhu, Shan Guo, and Yanning Guan

, based on results from long-term watershed experiments, can attribute total change to impacts of external or climate and internal or land-use/watershed change ( Tomer and Schilling 2009 ). The Tibetan Plateau, defined as the center of the “Third Pole,” is highly sensitive to climate change and to anthropogenic activities ( Hu et al. 2012 ; Wang et al. 2008 ; Kang et al. 2010 ). Therefore, this paper visits two periods attributing observed changes to external or climate impact or to internal or

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S. F. Shih and E. Chen

426JOURNAL OF CLIMATE AND APPLIED METEOROLOGYVOLUME 23On the Use of GOES Thermal Data to Study Effects of Land Useon Diurnal Temperature Fluctuation'S. F. SHIH AND E. CHENAgricultural Engineering Department, University of Florida. Gainesville, FL 32611(Manuscript received 26 September 1983, in final form 20 December 1983)ABSTRACTGeostationary Operational Environmental Satellite (GOES) infrared data were used to study the effect ofland use on the diurnal surface temperature fluctuation. Five

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