TY - JOUR
T1 - Simple modeling of the global variation in annual forest evapotranspiration
AU - Komatsu, Hikaru
AU - Cho, Jaeil
AU - Matsumoto, Kazuho
AU - Otsuki, Kyoichi
N1 - Funding Information:
Assistance in data collection and compilation provided by Ms. R. Komatsu, Dr. G.-Q. Wang, and Dr. J.-S. Yu are gratefully acknowledged. Thanks are also due to Dr. T. Kume and Dr. W.-L. Liang for their helpful comments. We express sincere thanks to three anonymous reviewers for their constructive comments. This work is funded by a Grant-in-Aid for Scientific Research from the Japanese Ministry of Education, Culture, Sports, Science and Technology and the Research Institute of East Asia Environments, Kyushu University, and by the JSPS Institutional Program for Young Researcher Overseas Visits.
PY - 2012/2/14
Y1 - 2012/2/14
N2 - Annual forest evapotranspiration (ET) is highly variable among various sites. Zhang's model (Zhang et al., 2001) has been widely used for predicting the spatial variation in ET. The forest component of the model employs limiting theory and assumes constant annual potential evaporation (E 0=1410mm) by regressing data recorded at 56 forest sites. However, most of the data used in determining E 0 were recorded for limited regions (Australia, African countries, and the United States). We summarized 829 forest ET data items obtained for sites around the world from earlier publications. Using the dataset, we showed that Zhang's model overestimates forest ET in temperate and boreal regions with low annual mean temperature (T) owing to the E 0 value. We revised the E 0 term of Zhang's model so as to consider the dependency of E 0 on T using the dataset. The revised model did not overestimate forest ET in temperate and boreal regions. Consequently, we recommend revising the E 0 term of Zhang's model when predicting forest ET in these regions.
AB - Annual forest evapotranspiration (ET) is highly variable among various sites. Zhang's model (Zhang et al., 2001) has been widely used for predicting the spatial variation in ET. The forest component of the model employs limiting theory and assumes constant annual potential evaporation (E 0=1410mm) by regressing data recorded at 56 forest sites. However, most of the data used in determining E 0 were recorded for limited regions (Australia, African countries, and the United States). We summarized 829 forest ET data items obtained for sites around the world from earlier publications. Using the dataset, we showed that Zhang's model overestimates forest ET in temperate and boreal regions with low annual mean temperature (T) owing to the E 0 value. We revised the E 0 term of Zhang's model so as to consider the dependency of E 0 on T using the dataset. The revised model did not overestimate forest ET in temperate and boreal regions. Consequently, we recommend revising the E 0 term of Zhang's model when predicting forest ET in these regions.
UR - http://www.scopus.com/inward/record.url?scp=84856218437&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84856218437&partnerID=8YFLogxK
U2 - 10.1016/j.jhydrol.2011.12.030
DO - 10.1016/j.jhydrol.2011.12.030
M3 - Article
AN - SCOPUS:84856218437
SN - 0022-1694
VL - 420-421
SP - 380
EP - 390
JO - Journal of Hydrology
JF - Journal of Hydrology
ER -