Linking Climate Change to Environmental Impact and Adaptation Studies: Recent Advances and Shortcomings in Modeling of Extreme Hydrologic Processes
Bibliographic record
Abstract
Climate change has been recognized as having a profound impact on hydrologic (water quantity) and environmental (water quality) processes for a local site or over an urban catchment area. Hence, global/regional climate models have been extensively used in climate change impact and adaptation studies. However, due to the current limitations on detailed physical modelling and computational capability, outputs from these models are provided at resolutions that are too coarse and not suitable for these impact studies. Hence, different downscaling methods have been proposed for linking these coarsescale climate change projections to hydrologic and environmental processes at the required relevant space and time scales. Of particular importance for environmental engineering applications are those procedures dealing with the linkage of the large-scale climate variability to the historical observations of the precipitation and temperature extreme processes at a location of interest. If this linkage could be established, then the projected change of climate conditions given by climate models could be used to predict the resulting changes of the precipitation and temperature characteristics at the given local site. Therefore, the main focus of the present keynote lecture is to provide an overview of recent advances and shortcomings in the modeling of extreme rainfall and temperature processes in the climate change context from both theoretical and practical viewpoints. In particular, another focus of this lecture is on the recently published technical guide by the Canadian Standards Association entitled "Development, interpretation, and use of rainfall intensity-duration-frequency (IDF) information: Guideline for Canadian water resources practitioners" (CSA PLUS 4013:19) to provide some guidance to water professionals in Canada on how to consider the climate change information in the design of urban water infrastructure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".