DOI: 10.1175/JCLI-D-14-00082.1
Scopus记录号: 2-s2.0-84909594507
论文题名: MODIS consistent vegetation parameter specifications and their impacts on regional climate simulations
作者: Xu M. ; Liang X.-Z. ; Samel A. ; Gao W.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2014
卷: 27, 期: 22 起始页码: 8578
结束页码: 8596
语种: 英语
Scopus关键词: Advanced very high resolution radiometers (AVHRR)
; Evapotranspiration
; Feedback
; Forestry
; Image reconstruction
; Landforms
; Remote sensing
; Satellite imagery
; Soil moisture
; Solar radiation
; Vegetation
; Atmosphere-land interactions
; Climate sensitivity
; Fractional vegetation cover
; Moderate resolution imaging spectroradiometer
; Northern Rocky Mountains
; Regional climate simulation
; Regional model
; Vegetation-atmosphere interactions
; Climate models
; albedo
; atmosphere-biosphere interaction
; AVHRR
; evapotranspiration
; feedback mechanism
; MODIS
; parameterization
; regional climate
; remote sensing
; sensitivity analysis
; Climates
; Moisture
; Mountains
; Precipitation
; Simulation
; Soil
; Specifications
; Canada
; Great Plains
; Midwest
; Rocky Mountains
; United States
英文摘要: A consistent set of Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation parameters, including leaf and stemarea index (LAI and SAI, respectively), land-cover category (LCC), fractional vegetation cover (FVC), and albedo parameterization are developed, and their impacts on North American regional climate are evaluated based on 10-yr Climate-Weather and Research ForecastingModel (CWRF) simulations.As compared with the previous Advanced Very High Resolution Radiometer (AVHRR) set, MODIS LCC increases grassland and cropland fractions in the central Great Plains and Midwest, respectively. Evergreen needleleaf forest converts tomixed forest in the Southeast, andmixed forest converts to evergreen needleleaf in Canada. FVC decreases by 0.05-0.3 over the central Great Plains but increases by 0.1-0.35 over the northern Rocky Mountains, Canada, and the U.S. Southeast. MODIS LAI is less than AVHRR by 2-6, except in the central Great Plains, eastern Rocky Mountains, and central Mexico. LCC and FVC changes over the central Great Plains reduce CWRF warm biases by 0.718°C and wet biases by 0.36 mm day-1. Large LAI reductions cause latent and sensible heat fluxes to decrease by 0.78-5.81 and 0.91-6.54 Wm-2, respectively. They also lessen cold biases over the Gulf States and Southeast and wet biases over the North American monsoon region and Canada during summer. In densely vegetated regions including eastern Canada, the Ohio Valley, and the mid-Atlantic region, spring and summer precipitation decreases and temperature increases result from LAI reductions that cause positive evapotranspiration-precipitation-soil moisture feedbacks. Conversely, precipitation and temperature decreases in sparely vegetated regions, such as the Great Plains, result from FVC reductions that cause negative albedo-evapotranspiration-precipitation-soil moisture feedbacks. © 2014 American Meteorological Society. 资助项目: NOAA, National Oceanic and Atmospheric Administration
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51277
Appears in Collections: 气候变化事实与影响
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作者单位: Earth System Science Interdisciplinary Center, University of Maryland, College Park, College Park, MD, United States; Earth System Science Interdisciplinary Center, Department of Atmospheric and Oceanic Science, University of Maryland, College Park, 5825 University Research Court Suite 4001, College Park, MD, United States; Department of Geography, Bowling Green State University, Bowling Green, OH, United States; UV-B Monitoring and Research Program, Natural Resource Ecology Laboratory, Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO, United States
Recommended Citation:
Xu M.,Liang X.-Z.,Samel A.,et al. MODIS consistent vegetation parameter specifications and their impacts on regional climate simulations[J]. Journal of Climate,2014-01-01,27(22)