Operational Implementation of Satellite-Rain Gauge Data Merging for Hydrological Modeling

Systems exposed to hydroclimatic variability, such as the integrated electric system in Uruguay, increasingly require real-time multiscale information optimize management. Monitoring of precipitation field is key inform future hydroelectric energy availability. We present an operational implementation algorithm that merges satellite estimates with rain gauge data, based on a 3-step technique: (i) Regression station data estimate using Generalized Linear Model; (ii) Interpolation regression residuals at locations entire grid Ordinary Kriging and (iii) Application rain/no mask. The follows five steps: Data download daily accumulation; quality control; Merging technique; (iv) Hydrological modeling (v) Electricity-system simulation. hydrological carried GR4J rainfall-runoff model applied 17 sub-catchments G. Terra basin routing up reservoir. became Electricity Market Administration (ADME) June 2020. performance merged was evaluated through comparison independent, dense uniformly distributed network several relevant statistics. Further validation presented comparing simulated inflow derived from reservoir mass budget. Results confirm estimation incorporates addition surface observations has higher than one only uses both rainfall statistical evaluation