IRMaRA issueshttps://gitlab.irstea.fr/in-wop/irmara/-/issues2021-04-27T14:16:08+02:00https://gitlab.irstea.fr/in-wop/irmara/-/issues/23Add about page with method and user's documentation2021-04-27T14:16:08+02:00Dorchies DavidAdd about page with method and user's documentationv0.3Dorchies DavidDorchies Davidhttps://gitlab.irstea.fr/in-wop/irmara/-/issues/2Compute global risk for one objective at a location concerned by several rese...2021-04-25T18:44:39+02:00Dorchies DavidCompute global risk for one objective at a location concerned by several reservoirsVGEST computes iso-frequency curves for each reservoir and dispatch the task between reservoirs with the so-called New York City rule (Clark 1950). For each reservoir $`r \in R`$ and each day $`d`$ of the year isofrequency curves allow t...VGEST computes iso-frequency curves for each reservoir and dispatch the task between reservoirs with the so-called New York City rule (Clark 1950). For each reservoir $`r \in R`$ and each day $`d`$ of the year isofrequency curves allow to get the probability of failure in the future for one objective $`o`$ depending on the active volume stored in the reservoir $`V_r`$:
```math
F_{r,d,o}(V_r)
```
For a downstream objective location concerned by several reservoir, we get a composite information for each reservoir:
![image](/uploads/710acba4cd0a4d73676674413dcd4105/image.png)
In the example above, risk of failure at the station "ALFOR_16" for the drought threshold "Vigilance" is around 2% for the lake Yonne (Pannecière dam) and 4% for the lake Seine. Depending on the active capacity of each reservoir, the relevancy of each probability should be considered. So, is it possible to compute the global probability of failure in the future?
## References
Clark, E.J., 1950. New York Control Curves. Journal (American Water Works Association) 42, 823–827.v0.3Dorchies DavidDorchies Davidhttps://gitlab.irstea.fr/in-wop/irmara/-/issues/14Dashboard: Annual risk assessment for one objective at one station2021-04-27T14:16:08+02:00Dorchies DavidDashboard: Annual risk assessment for one objective at one stationHere below a sketch of what could look like this Shiny dashboard:
![image](/uploads/d9baaeabeca016618800bcf4c002626f/image.png)
Instead of using isofrequency curves, we can use a [heat map](https://www.r-graph-gallery.com/79-levelplot-...Here below a sketch of what could look like this Shiny dashboard:
![image](/uploads/d9baaeabeca016618800bcf4c002626f/image.png)
Instead of using isofrequency curves, we can use a [heat map](https://www.r-graph-gallery.com/79-levelplot-with-ggplot2.html) for displaying the value of the failure probability for each day and each volume storage.v0.3https://gitlab.irstea.fr/in-wop/irmara/-/issues/15Dashboard: real time risk assessment for all objectives at all stations2021-04-27T14:16:08+02:00Dorchies DavidDashboard: real time risk assessment for all objectives at all stationsHere's a skatch of what it could look like:
![image](/uploads/1f62cb46f13e8d1acaec5e1585441bc7/image.png)Here's a skatch of what it could look like:
![image](/uploads/1f62cb46f13e8d1acaec5e1585441bc7/image.png)v0.3https://gitlab.irstea.fr/in-wop/irmara/-/issues/3Display an ensemble forecast of reservoir volume time series2020-06-19T12:33:46+02:00Dorchies DavidDisplay an ensemble forecast of reservoir volume time series`VGEST` computes reservoir volume time series with the most perfect management from a natural flow time series database. Is it possible to use these time series in order to display an ensemble forecast of future volumes in the reservoir ...`VGEST` computes reservoir volume time series with the most perfect management from a natural flow time series database. Is it possible to use these time series in order to display an ensemble forecast of future volumes in the reservoir based on the analog method usually used on precipitation forecast (See Xavier et Goswami, 2007, and Ben Daoud et al. 2016)?
## References
* Ben Daoud, A., Sauquet, E., Bontron, G., Obled, C., Lang, M., 2016. Daily quantitative precipitation forecasts based on the analogue method: Improvements and application to a French large river basin. Atmospheric Research 169, 147–159. https://doi.org/10.1016/j.atmosres.2015.09.015
* Xavier, P.K., Goswami, B.N., 2007. An Analog Method for Real-Time Forecasting of Summer Monsoon Subseasonal Variability. Mon. Wea. Rev. 135, 4149–4160. https://doi.org/10.1175/2007MWR1854.1