Improvements in Forecasting Intense Rainfall: Results from the FRANC (Forecasting Rainfall Exploiting New Data Assimilation Techniques and Novel Observations of Convection) Project
The FRANC project (Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection) has researched improvements in numerical weather prediction of convective rainfall via the reduction of initial condition uncertainty. This article provides an overview of the pr...
Main Authors: | Sarah L. Dance, Susan P. Ballard, Ross N. Bannister, Peter Clark, Hannah L. Cloke, Timothy Darlington, David L. A. Flack, Suzanne L. Gray, Lee Hawkness-Smith, Nawal Husnoo, Anthony J. Illingworth, Graeme A. Kelly, Humphrey W. Lean, Dingmin Li, Nancy K. Nichols, John C. Nicol, Andrew Oxley, Robert S. Plant, Nigel M. Roberts, Ian Roulstone, David Simonin, Robert J. Thompson, Joanne A. Waller |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-03-01
|
Series: | Atmosphere |
Subjects: | |
Online Access: | http://www.mdpi.com/2073-4433/10/3/125 |
Similar Items
-
Relationship between Rainfall Variability and the Predictability of Radar Rainfall Nowcasting Models
by: Zhenzhen Liu, et al.
Published: (2019-08-01) -
Uncertainty Model For Quantitative Precipitation Estimation Using Weather Radars
by: Ernesto Gómez Vargas, et al.
Published: (2016-06-01) -
Hydrological modeling using distributed rainfall data to represent the flow in urban watersheds
by: Lais Ferrer Amorim, et al.
Published: (2022-11-01) -
On the variability of the z-r relationship in rainfall related to radar echo pattern /
by: 328327 Puhakka, Timo -
Optimizing rainfall estimates with the aid of radar /
by: 315214 Brandes, Edward A.