Towards a Flux-Partitioning Procedure Based on the Direct Use of High-Frequency Eddy-Covariance Data

被引:0
|
作者
Luigi Palatella
Gianfranco Rana
Domenico Vitale
机构
[1] U.O.S. di Lecce,ISAC
[2] INFN sez. Lecce,CNR, Istituto di Scienze dell’Atmosfera e del Clima
[3] Unità di Ricerca per i Sistemi Colturali degli Ambienti Caldo-Aridi,CRA
[4] University of Tuscia,SCA, Consiglio per la Ricerca e la Sperimentazione in Agricoltura
来源
Boundary-Layer Meteorology | 2014年 / 153卷
关键词
Evaporation; Photosynthesis; Respiration; Transpiration; Water-use efficiency;
D O I
暂无
中图分类号
学科分类号
摘要
Scanlon and Sahu (Water Resour Res 44(10):W10418, 2008) proposed an interesting method to estimate assimilation, respiration, evaporation and transpiration directly using high-frequency eddy-covariance measurements. In this note we critically revise this method and, in particular, using the Descartes’ rule of sign, we show that one branch of solutions can be directly neglected reducing the analytical complexity of the procedure. We also discuss the stability of the results of the method with respect to the input parameters, especially to the water-use efficiency.
引用
收藏
页码:327 / 337
页数:10
相关论文
共 20 条
  • [1] Towards a Flux-Partitioning Procedure Based on the Direct Use of High-Frequency Eddy-Covariance Data
    Palatella, Luigi
    Rana, Gianfranco
    Vitale, Domenico
    [J]. BOUNDARY-LAYER METEOROLOGY, 2014, 153 (02) : 327 - 337
  • [2] A Wavelet-Based Correction Method for Eddy-Covariance High-Frequency Losses in Scalar Concentration Measurements
    Annika Nordbo
    Gabriel Katul
    [J]. Boundary-Layer Meteorology, 2013, 146 : 81 - 102
  • [3] A Wavelet-Based Correction Method for Eddy-Covariance High-Frequency Losses in Scalar Concentration Measurements
    Nordbo, Annika
    Katul, Gabriel
    [J]. BOUNDARY-LAYER METEOROLOGY, 2013, 146 (01) : 81 - 102
  • [4] Partitioning forest carbon fluxes with overstory and understory eddy-covariance measurements: A synthesis based on FLUXNET data
    Misson, Laurent
    Baldocchi, D. D.
    Black, T. A.
    Blanken, P. D.
    Brunet, Y.
    Yuste, J. Curiel
    Dorsey, J. R.
    Falk, M.
    Granier, A.
    Irvine, M. R.
    Jarosz, N.
    Lamaud, E.
    Launiainen, S.
    Law, B. E.
    Longdoz, B.
    Loustau, D.
    McKay, M.
    Paw, K. T. U.
    Vesala, T.
    Vickers, D.
    Wilson, K. B.
    Goldstein, A. H.
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2007, 144 (1-2) : 14 - 31
  • [5] Flux variance similarity-based partitioning of evapotranspiration over a rainfed alfalfa field using high frequency eddy covariance data
    Wagle, Pradeep
    Skaggs, Todd H.
    Gowda, Prasanna H.
    Northup, Brian K.
    Neel, James P. S.
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2020, 285
  • [6] Operative use of eddy covariance measurements: are high frequency data indispensable?
    Masseroni, D.
    Corbari, C.
    Ceppi, A.
    Gandolfi, C.
    Mancini, M.
    [J]. FOUR DECADES OF PROGRESS IN MONITORING AND MODELING OF PROCESSES IN THE SOIL-PLANT-ATMOSPHERE SYSTEM: APPLICATIONS AND CHALLENGES, 2013, 19 : 293 - 302
  • [7] Source partitioning of H2O and CO2 fluxes based on high-frequency eddy covariance data: a comparison between study sites
    Klosterhalfen, Anne
    Graf, Alexander
    Brueggemann, Nicolas
    Druee, Clemens
    Esser, Odilia
    Gonzalez-Dugo, Maria P.
    Heinemann, Guenther
    Jacobs, Cor M. J.
    Mauder, Matthias
    Moene, Arnold F.
    Ney, Patrizia
    Puetz, Thomas
    Rebmann, Corinna
    Ramos Rodriguez, Mario
    Scanlon, Todd M.
    Schmidt, Marius
    Steinbrecher, Rainer
    Thomas, Christoph K.
    Valler, Veronika
    Zeeman, Matthias J.
    Vereecken, Harry
    [J]. BIOGEOSCIENCES, 2019, 16 (06) : 1111 - 1132
  • [8] Accuracy of turbulent flux measurements through the use of high frequency data by eddy covariance tower: the case study of Landriano (PV), Italy
    Masseroni, Daniele
    Ercolani, Giulia
    Corbari, Chiara
    Mancini, Marco
    [J]. ITALIAN JOURNAL OF AGROMETEOROLOGY-RIVISTA ITALIANA DI AGROMETEOROLOGIA, 2013, 18 (03): : 5 - 12
  • [9] Relative Humidity Effect on the High-Frequency Attenuation of Water Vapor Flux Measured by a Closed-Path Eddy Covariance System
    Mammarella, Ivan
    Launiainen, Samuli
    Gronholm, Tiia
    Keronen, Petri
    Pumpanen, Jukka
    Rannik, Ullar
    Vesala, Timo
    [J]. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2009, 26 (09) : 1856 - 1866
  • [10] High-dimensional covariance forecasting based on principal component analysis of high-frequency data
    Jian, Zhihong
    Deng, Pingjun
    Zhu, Zhican
    [J]. ECONOMIC MODELLING, 2018, 75 : 422 - 431