Table 7 Summary of discussed studies.
From: Near future flash flood prediction in an arid region under climate change
Study | GCM Models | Limitations | Novelty of current research |
|---|---|---|---|
CMIP6 | No assessment of GCMs’ performance in predicting historical data | Employing a wide range of CMIP6 models to find the best one to interpret historical data (stage 1). | |
CMIP5 | No assessment of GCMs’ performance in predicting historical data | Employing a wide range of CMIP6 models to find the best one to interpret historical data (stage 1). | |
CMIP5 | No assessment of GCMs’ performance in predicting historical data | Employing a wide range of CMIP6 models to find the best one (stage 1). | |
CMIP6 | Overlooked critical processes in Stage 1 | Introducing a framework that better downscales future rainfall data using ML models (stage 2). | |
CMIP6 | Overlooked critical processes in Stage 1 | Introducing a framework that better downscales future rainfall data using ML models (stage 2). | |
84 | CMIP6/CMIP5 | Not explore different distribution functions | Highlighting the potential of different distribution functions to improve IDF accuracy (stage 3). |
85 | CMIP5 | Not explore different distribution functions | Highlighting the potential of different distribution functions to improve IDF accuracy (stage 3). |