Work

Using quantile mapping and random forest for bias‐correction of high‐resolution reanalysis precipitation data and CMIP6 climate projections over Iran

Year: 2024

Type: article

Source: International Journal of Climatology

DOI: 10.1002/joc.8593

Authors: Maryam Raeesi, Ali Asghar Zolfaghari, Seyed Hasan Kaboli, Mohammad Rahimi, Joris de Vente, Joris P. C. Eekhout

Institutions: Semnan University, Consejo Superior de Investigaciones Científicas, Centro de Edafología y Biología Aplicada del Segura

Language: English

Topic: Climate variability and models

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W4401627476

FWCI: 4.284

Cites: 62

Cited by: 24

Related to: 10