HS7.2/AS1.20/CL5.16/NH1.3/NP3.6 Precipitation uncertainty and variability: observations, ensemble simulation and downscaling (co-organized) |
Convener: R. Deidda | Co-Conveners: T. Bellerby , G. Grossi , A. Langousis , X. Wang , S. Vogl , P. Laux |
Oral Programme
/ Fri, 27 Apr, 08:30–12:00
/ 13:30–17:00
/ Room 33
Poster Programme
/ Attendance Thu, 26 Apr, 17:30–19:00
/ Hall A
|
Specifically, 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 different accuracy in precipitation time series, e.g. due to change and improvement of observation networks.
- Uncertainty and variability in spatially and temporally heterogeneous multi-source precipitation products.
- Estimation of precipitation variability and uncertainty in ungauged sites.
- Process conceptualization and modeling approaches at different spatial and temporal scales, including model parameter identification and calibration, and sensitivity analyses to parameterization and scales of process representation.
- Physically and statistically based approaches to downscale information from meteorological and climate models to spatial and temporal scales useful for hydrological modeling and applications.
- Modeling approaches based on ensemble simulation and methods for synthetic representation of precipitation variability and uncertainty.
- Scale invariance properties of precipitation in space and/or in time.