Parametric flood trigger sheet · simulated model flow (GloFAS v5.0)
Mengíbar gauge (CEDEX 5004)
Guadalquivir · pin 37.984° N, 3.799° W · model cell 37.975° N, 3.825° W (2.5 km away)
Model cell chosen by: long-term mean flow closest to the gauge's, within 0.1°.
Demo: the "reported flood years" are the years the real gauge measured above its own 1-in-5 flow, standing in for a client's loss years. 27 water years (October to September) in which the gauge and the model overlap.
Highest daily river flow in the flood year (October to September) at the model cell · 1985–2022 (27 years)
Bars: simulated model flow (GloFAS v5.0), highest day in each flood year. Lines: attachment and exhaustion. Labels: payout that year. ▲ marks the reported flood years.
Return levels (GEV, simulated model flow (GloFAS v5.0))
| Flood | Level m³/s | 90 % band |
|---|---|---|
| 1-in-2 | 161 | 117–221 |
| 1-in-5attachment | 295 | 215–371 |
| 1-in-10 | 394 | 293–467 |
| 1-in-25exhaustion | 534 | 416–592 |
| 1-in-50 | 649† | 515–711 |
† Beyond the 27-year record: an extrapolation. Read it with its band.
Caveats
- This is simulated model flow (GloFAS v5.0), not a gauge reading. The model can miss or exaggerate a flood.
- This demo uses the 27 water years (1985–2022, with gaps) in which the CEDEX gauge and GloFAS both have a full record, not the full 1980–2024 model record a client run uses.
- The global model is not reliable on catchments smaller than about 500 km². This gauge drains 16,166 km².
- Return periods longer than the record (27 years) are extrapolations: read them with their band.
- Dams upstream on the Guadalquivir can cut real peaks that the model may not see.
- Re-test the trigger whenever the model version changes.
The trigger
Each flood year, take the highest daily simulated model flow (GloFAS v5.0) at the model cell. At or below 295 m³/s (1-in-5) nothing pays. At or above 534 m³/s (1-in-25) 100 % of the limit pays. In between, the payout rises in a straight line.
Linear from 0 % at the attachment to 100 % at the exhaustion, on the flood year's highest daily flow.
Basis risk against 6 reported flood years
- Hits
- 5 flood years that paid
- Misses
- 1 flood years with no payout
- False payouts
- 2 paid with no reported flood
- Rank score
- 0.93 1 = perfect, 0.5 = chance
In 93 % of pairs, a flood year had a higher model flow than a year without a flood (50 % is chance; this is strong).
Here the "flood years" are the 6 years in which the real CEDEX gauge measured more than its own 1-in-5 flow (264 m³/s); in a client run they are the client's own loss years.
Provenance
- source
- GloFAS
- dataset
- cems-glofas-historical
- version
- version_5_0
- via
- Copernicus EWDS, through kai-engine reference guadalquivir
- window
- 1984-10-01 to 2022-09-30
- gauge
- CEDEX Anuario de Aforos 2021-2022, station 5004 (used only to pick the cell and for the flood years)
- input
- kai-website public/assets/kh/triggers_v5.json
- sha256
- 4b367b94bec5eba973a747664d4f60dc3057c862f525c4131911dea204966e47
- generator
- hydro-saas scripts/trigger-fixture.mjs
Fuente: CEDEX, Anuario de Aforos 2021-2022 (Ministerio para la Transicion Ecologica y el Reto Demografico). Contains modified Copernicus Emergency Management Service information 2026 (GloFAS v5.0).
KAI Water & Energy · KAI-Hydro parametric flood trigger design. Built on simulated model flow (GloFAS v5.0); it is a design aid, not a flood warning and not a gauge record.