Implementing Weather Generators for Prediction of Future Climate Changes: A Review Paper

The changes in weather and climate patterns have prompted the world to conduct comprehensive and in-depth studies and research due to their direct impact on all aspects of life. Therefore, predicting climate using historical data for a specific area is vital to studying and knowing the level of impact of the resulting change in terms of hydrological, meteorological, and agricultural aspects. In this study, a comprehensive review of the latest and most popular weather generators used in the world was surveyed. A thorough evaluation of 92 papers published between 2000 and 2023 was analyzed and discussed in terms of the geographical locations and climatological conditions, time scale, predictors, and capabilities of weather generators models. Starting in early September 2023, the study made use of the search boxes on Scopus, IEEE Xplore, ScienceDirect, Web of Science, Semantic Scholar, PubMed, and Connected Papers databases. The terms "Weather Generators", "Climate Changes", and “Meteorological Parameters" were mixed with auxiliary words like "Applications", "Program," "Code", and "Software", as well as different variations of the terms "forecasting", "projection", and "prediction", in addition to the main terms. Hence, the reviewed papers provide an insightful tool for researchers to use the weather generator models in similar studies. Ultimately, the study presents a comprehensive and cutting-edge overview of weather generator applications, highlighting the most promising approach for future studies, which helps researchers and those interested in understanding the causes of climate change.

Institutions

Publication Details

Journal
Tikrit Journal of Engineering Sciences
Published
2025-08-30
DOI
https://doi.org/10.25130/tjes.32.4.14
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementing Weather Generators for Prediction of Future Climate Changes: A Review Paper

Tikrit Journal of Engineering Sciences
Climate variability and models
article

Implementing Weather Generators for Prediction of Future Climate Changes: A Review Paper

article en

Abstract

The changes in weather and climate patterns have prompted the world to conduct comprehensive and in-depth studies and research due to their direct impact on all aspects of life. Therefore, predicting climate using historical data for a specific area is vital to studying and knowing the level of impact of the resulting change in terms of hydrological, meteorological, and agricultural aspects. In this study, a comprehensive review of the latest and most popular weather generators used in the world was surveyed. A thorough evaluation of 92 papers published between 2000 and 2023 was analyzed and discussed in terms of the geographical locations and climatological conditions, time scale, predictors, and capabilities of weather generators models. Starting in early September 2023, the study made use of the search boxes on Scopus, IEEE Xplore, ScienceDirect, Web of Science, Semantic Scholar, PubMed, and Connected Papers databases. The terms "Weather Generators", "Climate Changes", and “Meteorological Parameters" were mixed with auxiliary words like "Applications", "Program," "Code", and "Software", as well as different variations of the terms "forecasting", "projection", and "prediction", in addition to the main terms. Hence, the reviewed papers provide an insightful tool for researchers to use the weather generator models in similar studies. Ultimately, the study presents a comprehensive and cutting-edge overview of weather generator applications, highlighting the most promising approach for future studies, which helps researchers and those interested in understanding the causes of climate change.

Tikrit Journal of Engineering SciencesVol. 32(4)
University of Technology - Iraq (IQ), Ministry of Water Resources and Irrigation (EG)
Ministry of Water Resources
Climate action
Openalex Percentile: Top 42%
Climate variability and models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Implementing Weather Generators for Prediction of Future Climate Changes: A Review Paper · Tikrit Journal of Engineering Sciences (2025) | TGRS Research Map | TGRS