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| ====== Mathematics and Hydrology Questions 2025 ====== | ====== Mathematics and Hydrology Questions 2025 ====== | ||
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| + | ~~NOTOC~~ | ||
| At the recent [[bathhydrology2025|workshop between mathematical and flood risk communities]], | At the recent [[bathhydrology2025|workshop between mathematical and flood risk communities]], | ||
| Line 7: | Line 9: | ||
| One group indicated whether the " | One group indicated whether the " | ||
| - | ===== Model intercomparison ===== | + | ===== A. Model intercomparison ===== |
| - (H to M) How can we compare models to assess fitness-for-purpose? | - (H to M) How can we compare models to assess fitness-for-purpose? | ||
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| - What techniques/ | - What techniques/ | ||
| - | ===== Model development ===== | + | ===== B. Model development ===== |
| - Can insight of ML + blended models lead to development of better low-dimensional models? | - Can insight of ML + blended models lead to development of better low-dimensional models? | ||
| - | ===== Analysis | + | ===== C. Analysis, asymptotics, |
| - | * (M to H) How are hydrologists destroying mass? | + | |
| - | * (H to M) What scaling laws exist? (e.g. for whole hydrological systems) | + | |
| - | + | ||
| - | ===== View as inverse problems ===== | + | |
| - | * (M to H) Could viewing hydrology as an inverse problem give us insights about the influence of catchment features? | + | |
| - | * (M to H) What is the minimum amount of data to solve the inverse problem? | + | |
| - | + | ||
| - | ===== Statistics and data collection ===== | + | |
| - | + | ||
| - | * (H to M) How do we estimate extreme events from limited data? | + | |
| - | * (H to M) How can we better quantify uncertainty? | + | |
| - | * (H to M) Is it more useful to collect a small amount of data everywhere or a lot in a few places? | + | |
| - | * Are there new data collection methods that could be utilised? | + | |
| - | * How to evaluate flows given uncertainties? | + | |
| - | * What metrics do you use for high flows? | + | |
| - | * How/can you use ML in low data environments? | + | |
| - | * What techniques exist for collapsing spatial information? | + | |
| - | * What rainfall data do you use? How do you measure discharge? Does it matter? | + | |
| + | - (M to H) How are hydrologists destroying mass? | ||
| + | - (H to M) What scaling laws exist? (e.g. for whole hydrological systems) | ||
| + | - (M to H) Could viewing hydrology as an inverse problem give us insights about the influence of catchment features? | ||
| + | - (M to H) What is the minimum amount of data to solve the inverse problem? | ||
| + | ===== D. Statistics and data collection ===== | ||
| + | - (H to M) How do we estimate extreme events from limited data? | ||
| + | - (H to M) How can we better quantify uncertainty? | ||
| + | - (H to M) Is it more useful to collect a small amount of data everywhere or a lot in a few places? | ||
| + | - Are there new data collection methods that could be utilised? | ||
| + | - How to evaluate flows given uncertainties? | ||
| + | - What metrics do you use for high flows? | ||
| + | - How/can you use ML in low data environments? | ||
| + | - What techniques exist for collapsing spatial information? | ||
| + | - What rainfall data do you use? How do you measure discharge? Does it matter? | ||