Modelling Canopy Resistance For Estimating Latent Heat Flux At A Tea Field In South China

H. Yan; C. Zhang; G. Peng; R.O. Darko; B. Cai

doi:10.1017/S0014479717000242

Modelling Canopy Resistance For Estimating Latent Heat Flux At A Tea Field In South China

H. Yan^*, C. Zhang, G. Peng, R.O. Darko, B. Cai

^*Corresponding author for this work

Water Resources

Research output: Contribution to journal › Article › Scientific › peer-review

9 Citations (Scopus)

Abstract

Determination of canopy resistance (r_c ) is necessary for accurate estimating hourly latent heat flux (LET), using the Penman–Monteith (PM) model for tea crop. In this study, a non-linear relationship between r_c and climatic resistance (r*) was obtained for tea plants based on micro-meteorological data and LET from the end of 2014 to the beginning of 2016 in southern China. The proposed r_c model was integrated to the PM method and compared with measured LET using a Bowen ratio energy balance method. The root mean square error (RMSE) and the index of agreement (d) were calculated for assessing the accuracy of the proposed r_c model. RMSE and d values for r_c and LET were 167.4 s m⁻¹ and 29.7 W m⁻² and 0.93 and 0.99, respectively. As compared to data from a single season, the r_c sub-model based on data from different seasons was more reliable for estimating LET of tea field when integrated to the PM model.

Original language	English
Pages (from-to)	1-14
Number of pages	14
Journal	Experimental Agriculture
Volume	54
Issue number	4
DOIs	https://doi.org/10.1017/S0014479717000242
Publication status	Published - 6 Jun 2017

Access to Document

10.1017/S0014479717000242

Cite this

@article{c0e869e98ede429cb00bf4c7e73856de,

title = "Modelling Canopy Resistance For Estimating Latent Heat Flux At A Tea Field In South China",

abstract = "Determination of canopy resistance (rc ) is necessary for accurate estimating hourly latent heat flux (LET), using the Penman–Monteith (PM) model for tea crop. In this study, a non-linear relationship between rc and climatic resistance (r*) was obtained for tea plants based on micro-meteorological data and LET from the end of 2014 to the beginning of 2016 in southern China. The proposed rc model was integrated to the PM method and compared with measured LET using a Bowen ratio energy balance method. The root mean square error (RMSE) and the index of agreement (d) were calculated for assessing the accuracy of the proposed rc model. RMSE and d values for rc and LET were 167.4 s m−1 and 29.7 W m−2 and 0.93 and 0.99, respectively. As compared to data from a single season, the rc sub-model based on data from different seasons was more reliable for estimating LET of tea field when integrated to the PM model.",

author = "H. Yan and C. Zhang and G. Peng and R.O. Darko and B. Cai",

year = "2017",

month = jun,

day = "6",

doi = "10.1017/S0014479717000242",

language = "English",

volume = "54",

pages = "1--14",

journal = "Experimental Agriculture",

issn = "0014-4797",

publisher = "Cambridge University Press",

number = "4",

}

TY - JOUR

T1 - Modelling Canopy Resistance For Estimating Latent Heat Flux At A Tea Field In South China

AU - Yan, H.

AU - Zhang, C.

AU - Peng, G.

AU - Darko, R.O.

AU - Cai, B.

PY - 2017/6/6

Y1 - 2017/6/6

N2 - Determination of canopy resistance (rc ) is necessary for accurate estimating hourly latent heat flux (LET), using the Penman–Monteith (PM) model for tea crop. In this study, a non-linear relationship between rc and climatic resistance (r*) was obtained for tea plants based on micro-meteorological data and LET from the end of 2014 to the beginning of 2016 in southern China. The proposed rc model was integrated to the PM method and compared with measured LET using a Bowen ratio energy balance method. The root mean square error (RMSE) and the index of agreement (d) were calculated for assessing the accuracy of the proposed rc model. RMSE and d values for rc and LET were 167.4 s m−1 and 29.7 W m−2 and 0.93 and 0.99, respectively. As compared to data from a single season, the rc sub-model based on data from different seasons was more reliable for estimating LET of tea field when integrated to the PM model.

AB - Determination of canopy resistance (rc ) is necessary for accurate estimating hourly latent heat flux (LET), using the Penman–Monteith (PM) model for tea crop. In this study, a non-linear relationship between rc and climatic resistance (r*) was obtained for tea plants based on micro-meteorological data and LET from the end of 2014 to the beginning of 2016 in southern China. The proposed rc model was integrated to the PM method and compared with measured LET using a Bowen ratio energy balance method. The root mean square error (RMSE) and the index of agreement (d) were calculated for assessing the accuracy of the proposed rc model. RMSE and d values for rc and LET were 167.4 s m−1 and 29.7 W m−2 and 0.93 and 0.99, respectively. As compared to data from a single season, the rc sub-model based on data from different seasons was more reliable for estimating LET of tea field when integrated to the PM model.

UR - http://www.scopus.com/inward/record.url?scp=85020200833&partnerID=8YFLogxK

U2 - 10.1017/S0014479717000242

DO - 10.1017/S0014479717000242

M3 - Article

AN - SCOPUS:85020200833

SN - 0014-4797

VL - 54

SP - 1

EP - 14

JO - Experimental Agriculture

JF - Experimental Agriculture

IS - 4

ER -

Modelling Canopy Resistance For Estimating Latent Heat Flux At A Tea Field In South China

Abstract

Access to Document

Other files and links

Fingerprint

Cite this