Precipitation modelling: uncertainty, variability, assimilation, ensemble simulation and downscaling
Co-organized by AS1
Convener:
Giuseppe Mascaro
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Co-conveners:
Nikolina Ban,
Roberto Deidda,
Chris Onof,
Alin Andrei Carsteanu
Orals
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Mon, 24 Apr, 08:30–12:30 (CEST) Room 2.44
Posters on site
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Attendance Mon, 24 Apr, 14:00–15:45 (CEST) Hall A
Contributions focusing on one or more of the following issues are particularly welcome:
- Novel studies aimed at the assessment and representation of different sources of uncertainty versus natural variability of precipitation.
- Methods to account for accuracy in precipitation time series due to, e.g., change and improvement of observation networks.
- Uncertainty and variability in spatially and temporally heterogeneous multi-source precipitation products.
- Estimation of precipitation variability and uncertainty at ungauged sites.
- Precipitation data assimilation.
- Process conceptualization and approaches to modelling of precipitation at different spatial and temporal scales, including model parameter identification and calibration, and sensitivity analyses to parameterization and scales of process representation.
- Modelling approaches based on ensemble simulations and methods for synthetic representation of precipitation variability and uncertainty.
- Scaling and scale invariance properties of precipitation fields in space and/or in time.
- Physically and statistically based approaches to downscale information from meteorological and climate models to spatial and temporal scales useful for hydrological modelling and applications.
08:30–08:35
5-minute convener introduction
Coffee break
Chairpersons: Chris Onof, Alin Andrei Carsteanu
12:15–12:30
Discussion
A nowcasting procedure based on downscaling and merging radar retrievals at different scales and resolutions
(withdrawn)