Tower and aircraft eddy covariance measurements of water vapor, energy, and carbon dioxide fluxes during SMACEX

被引:70
|
作者
Prueger, JH
Hatfield, JL
Kustas, WP
Hipps, LE
MacPherson, JI
Neale, CMU
Eichinger, WE
Cooper, DI
Parkin, TB
机构
[1] USDA ARS, Natl Soil Tilth Lab, Ames, IA 50011 USA
[2] USDA ARS, Hydrol & Remote Sensing Lab, Beltsville, MD USA
[3] Utah State Univ, Logan, UT USA
[4] NRC Inst Aerosp Res, Ottawa, ON, Canada
[5] Univ Iowa, Iowa City, IA USA
[6] Los Alamos Natl Lab, Los Alamos, NM USA
关键词
D O I
10.1175/JHM457.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A network of eddy covariance (EC) and micrometeorological flux (METFLUX) stations over corn (Zea mays L.) and soybean [ Glycine max ( L.) Merr.] canopies was established as part of the Soil Moisture Atmosphere Coupling Experiment ( SMACEX) in central Iowa during the summer of 2002 to measure fluxes of heat, water vapor, and carbon dioxide (CO2) during the growing season. Additionally, EC measurements of water vapor and CO2 fluxes from an aircraft platform complemented the tower-based measurements. Sensible heat, water vapor, and CO2 fluxes showed the greatest spatial and temporal variability during the early crop growth stage. Differences in all of the energy balance components were detectable between corn and soybean as well as within similar crops throughout the study period. Tower network averaged fluxes of sensible heat, water vapor, and CO2 were observed to be in good agreement with area-averaged aircraft flux measurements.
引用
收藏
页码:954 / 960
页数:7
相关论文
共 50 条
  • [41] Estimating Forest Carbon Fluxes Using Machine Learning Techniques Based on Eddy Covariance Measurements
    Dou, Xianming
    Yang, Yongguo
    Luo, Jinhui
    SUSTAINABILITY, 2018, 10 (01)
  • [42] Total and component carbon fluxes of a scots pine ecosystem from chamber measurements and eddy covariance
    Zha, Tianshan
    Niinistoe, Sini
    Xing, Zisheng
    Wang, Kai-Yun
    Kellomaeki, Seppo
    Barr, Alan G.
    ANNALS OF BOTANY, 2007, 99 (06) : 1239 - 1239
  • [43] Multi-season eddy covariance observations of energy, water and carbon fluxes over a suburban area in Swindon, UK
    Ward, H. C.
    Evans, J. G.
    Grimmond, C. S. B.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2013, 13 (09) : 4645 - 4666
  • [44] Eddy covariance measurements of CO2 and energy fluxes of an Alaskan tussock tundra ecosystem
    Vourlitis, GL
    Oechel, WC
    ECOLOGY, 1999, 80 (02) : 686 - 701
  • [45] Investigating Alaskan methane and carbon dioxide fluxes using measurements from the CARVE tower
    Karion, Anna
    Sweeney, Colm
    Miller, John B.
    Andrews, Arlyn E.
    Commane, Roisin
    Dinardo, Steven
    Henderson, John M.
    Lindaas, Jacob
    Lin, John C.
    Luus, Kristina A.
    Newberger, Tim
    Tans, Pieter
    Wofsy, Steven C.
    Wolter, Sonja
    Miller, Charles E.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2016, 16 (08) : 5383 - 5398
  • [46] Shrub effects on carbon dioxide and water vapor fluxes over grasslands
    Frank, AB
    Karn, JE
    RANGELAND ECOLOGY & MANAGEMENT, 2005, 58 (01) : 20 - 26
  • [47] Partitioning carbon dioxide and water vapor fluxes using correlation analysis
    Scanlon, Todd M.
    Kustas, William P.
    AGRICULTURAL AND FOREST METEOROLOGY, 2010, 150 (01) : 89 - 99
  • [48] EFFECTS OF HEAT AND WATER-VAPOR TRANSPORT ON EDDY COVARIANCE MEASUREMENT OF CO2 FLUXES
    LEUNING, R
    DENMEAD, OT
    LANG, ARG
    OHTAKI, E
    BOUNDARY-LAYER METEOROLOGY, 1982, 23 (02) : 209 - 222
  • [49] Seasonal Variability of Carbon Dioxide, Sensible and Latent Heat Fluxes in a Northern Taiga Larch Forest of Central Siberia for Eddy Covariance Flux Measurements
    Olchev, A. V.
    Zyryanov, V. I.
    Satosina, E. M.
    Fokeev, E. V.
    Mukhartova, I. V.
    Novenko, E. Yu.
    Prokushkin, A. S.
    RUSSIAN METEOROLOGY AND HYDROLOGY, 2022, 47 (10) : 804 - 811
  • [50] Seasonal Variability of Carbon Dioxide, Sensible and Latent Heat Fluxes in a Northern Taiga Larch Forest of Central Siberia for Eddy Covariance Flux Measurements
    A. V. Olchev
    V. I. Zyryanov
    E. M. Satosina
    E. V. Fokeev
    I. V. Mukhartova
    E. Yu. Novenko
    A. S. Prokushkin
    Russian Meteorology and Hydrology, 2022, 47 : 804 - 811