Improvements in Forecasting Intense Rainfall: Results from the FRANC (Forecasting Rainfall Exploiting New Data Assimilation Techniques and Novel Observations of Convection) Project
Open Access
- 7 March 2019
- journal article
- review article
- Published by MDPI AG in Atmosphere
- Vol. 10 (3), 125
- https://doi.org/10.3390/atmos10030125
Abstract
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 project’s achievements. We highlight new radar techniques: correcting for attenuation of the radar return; correction for beams that are over 90% blocked by trees or towers close to the radar; and direct assimilation of radar reflectivity and refractivity. We discuss the treatment of uncertainty in data assimilation: new methods for estimation of observation uncertainties with novel applications to Doppler radar winds, Atmospheric Motion Vectors, and satellite radiances; a new algorithm for implementation of spatially-correlated observation error statistics in operational data assimilation; and innovative treatment of moist processes in the background error covariance model. We present results indicating a link between the spatial predictability of convection and convective regimes, with potential to allow improved forecast interpretation. The research was carried out as a partnership between University researchers and the Met Office (UK). We discuss the benefits of this approach and the impact of our research, which has helped to improve operational forecasts for convective rainfall events.Funding Information
- Natural Environment Research Council (NE/K008900/1)
This publication has 61 references indexed in Scilit:
- New developments at the Flood Forecasting Centre: operations and flood risk guidanceComputers in Railways XIV, 2016
- Heavier summer downpours with climate change revealed by weather forecast resolution modelNature Climate Change, 2014
- Use of NWP for Nowcasting Convective Precipitation: Recent Progress and ChallengesBulletin of the American Meteorological Society, 2014
- GloFAS – global ensemble streamflow forecasting and flood early warningHydrology and Earth System Sciences, 2013
- Practical and Intrinsic Predictability of Severe and Convective Weather at the MesoscalesJournal of the Atmospheric Sciences, 2012
- The benefits of the Met Office variable resolution NWP model for forecasting convectionMeteorlogical Applications, 2012
- Operational use of a grid-based model for flood forecastingProceedings of the ICE - Water Management, 2012
- Characteristics of High-Resolution Versions of the Met Office Unified Model for Forecasting Convection over the United KingdomMonthly Weather Review, 2008
- Atmospheric Predictability at Synoptic Versus Cloud-Resolving ScalesBulletin of the American Meteorological Society, 2007
- Issues in high resolution limited area data assimilation for quantitative precipitation forecastingPhysica D: Nonlinear Phenomena, 2004