Work

Symmetrical uncertainty and random forest for the evaluation of gridded precipitation and temperature data

Year: 2019

Type: article

Source: Atmospheric Research

DOI: 10.1016/j.atmosres.2019.104632

Authors: Mohamed Salem Nashwan, Shamsuddin Shahid

Institutions: University of Technology Malaysia, Arab Academy for Science, Technology, and Maritime Transport

Language: English

Topic: Precipitation Measurement and Analysis

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

Funder: Universiti Teknologi Malaysia

Award: G1163504873

OpenAlex ID: W2962865121

FWCI: 4.642

Cites: 70

Cited by: 82

Related to: 10