๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Estimating Evapotranspiration Using Artificial Neural Network and Minimum Climatological Data

โœ Scribed by Zanetti, S. S.; Sousa, E. F.; Oliveira, V. P.; Almeida, F. T.; Bernardo, S.


Book ID
120477980
Publisher
American Society of Civil Engineers
Year
2007
Tongue
English
Weight
153 KB
Volume
133
Category
Article
ISSN
0733-9437

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Models for estimating evapotranspiration
โœ S. K. Jain; P. C. Nayak; K. P. Sudheer ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 317 KB ๐Ÿ‘ 1 views

## Abstract Estimation of evapotranspiration (ET) requires a knowledge of the values of many climatic variables, some of which require special equipment and careful observations. Although ET is an important component of water balance, the data required for its accurate estimation are commonly avail