Regional Modeling of Climate Change Impact on Peninsular Malaysia Water Resources Jamalluddin bin Shaaban, Ahmad
Bibliographic record
Abstract
The future projections of climate change by means of Global Climate Models (GCMs) of the Earth provide fundamental coarse-grid-resolution hydroclimate data for studies of the impact of climate change on water resources. We report on a study where the climate change simulations of Coupled Global Climate Model of the Canadian Center for Climate Modeling and Analysis were downscaled by a Regional Hydroclimate Model of Peninsular Malaysia to the scale of the subregions and watersheds of Peninsular Malaysia in order to assess the impact of future climate change on its water resources. Based on simulations of hydroclimatic conditions during the 1984–1993 historical and 2025–2034, 2041–2050 future periods it is concluded that the overall mean monthly streamflow is about the same during the future period and during the historical period for most of the watersheds except Kelantan and Pahang. In those two watersheds there is significant increase in the overall mean monthly streamflow during the future period. It is also clear that the high flow conditions will be magnified in Kelantan, Terengganu, Pahang and Perak River watersheds during the wet months, while low monthly flows will be significantly lower in Selangor and Klang watersheds during the dry months in the future.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".