Work

Calibrating anomalies improves forecasting of daily reference crop evapotranspiration

Year: 2022

Type: article

Source: Journal of Hydrology

DOI: 10.1016/j.jhydrol.2022.128009

Authors: Qichun Yang, Quan J. Wang, Kirsti Hakala

Institution: The University of Melbourne

Language: English

Topic: Hydrology and Drought Analysis

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

Funders: National Computational Infrastructure, Australian Government, University of Melbourne, Bureau of Meteorology, Australian Government, Australian Research Council

Awards: Water availability and demand: better forecasts, better management, G7275999872

OpenAlex ID: W4281992012

FWCI: 0.598

Cites: 52

Cited by: 11

Related to: 10