Evaluating the necessity of post-processing techniques on d4PDF data for extreme climate assessment

Maneechot, L; Wong, YJ; Try, S; Shimizu, Y; Bharambe, KP; Hanittinan, P; Ram-Indra, T; Usman, Muhammad

Evaluating the necessity of post-processing techniques on d4PDF data for extreme climate assessment

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posted on 2025-08-26, 05:35 authored by L Maneechot, YJ Wong, S Try, Y Shimizu, KP Bharambe, P Hanittinan, T Ram-Indra, Muhammad UsmanMuhammad Usman

Evaluating the necessity of post-processing techniques on d4PDF data for extreme climate assessment

Funding

Funder: Ministry of Education, Culture, Sports, Science and Technology | Grant ID: PTDC/CCI-BIO/29266/2017

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DOI - Is version of https://doi.org/10.1007/s11356-023-29572-9

Location

Berlin, Germany

Open access

No

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Journal

Environmental Science And Pollution Research

Volume

30

Pagination

102531-102546

ISSN

0944-1344

eISSN

1614-7499

Issue

46

Publisher

Springer Nature

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Keywords

Climate Change Climate Models Floods Rain Rivers Seasons Thailand Bias correction Climate change d4PDF Interpolation Rainfall

Evaluating the necessity of post-processing techniques on d4PDF data for extreme climate assessment

Funding

Funder: Ministry of Education, Culture, Sports, Science and Technology | Grant ID: PTDC/CCI-BIO/29266/2017

History

Related Materials

Location

Open access

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Publication classification

Journal

Volume

Pagination

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eISSN

Issue

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