[HTML][HTML] A review of quantitative precipitation forecasts and their use in short-to medium-range streamflow forecasting
Unknown future precipitation is the dominant source of uncertainty for many streamflow
forecasts. Numerical weather prediction (NWP) models can be used to generate quantitative …
forecasts. Numerical weather prediction (NWP) models can be used to generate quantitative …
Formulation and evaluation of a scale decomposition‐based stochastic precipitation nowcast scheme
AW Seed, CE Pierce, K Norman - Water Resources Research, 2013 - Wiley Online Library
There are significant uncertainties inherent in precipitation forecasts and these uncertainties
can be communicated to users via large ensembles that are generated using stochastic …
can be communicated to users via large ensembles that are generated using stochastic …
[HTML][HTML] Intercomparison of spatial forecast verification methods: Identifying skillful spatial scales using the fractions skill score
M Mittermaier, N Roberts - Weather and Forecasting, 2010 - journals.ametsoc.org
The fractions skill score (FSS) was one of the measures that formed part of the
Intercomparison of Spatial Forecast Verification Methods project. The FSS was used to …
Intercomparison of Spatial Forecast Verification Methods project. The FSS was used to …
[HTML][HTML] Direct assimilation of radar reflectivity without tangent linear and adjoint of the nonlinear observation operator in the GSI-based EnVar system: Methodology …
Direct Assimilation of Radar Reflectivity without Tangent Linear and Adjoint of the Nonlinear
Observation Operator in the GSI-Based EnVar System: Methodology and Experiment with the 8 …
Observation Operator in the GSI-Based EnVar System: Methodology and Experiment with the 8 …
A long‐term assessment of precipitation forecast skill using the fractions skill score
M Mittermaier, N Roberts… - Meteorological …, 2013 - Wiley Online Library
Abstract The Fractions Skill Score (FSS) is a spatial verification metric routinely computed in
the operational verification suite. It enables the comparison of forecasts of different …
the operational verification suite. It enables the comparison of forecasts of different …
Spatial-temporal fractions verification for high-resolution ensemble forecasts
Experiments with two ensemble systems of resolutions 10 km (MF10km) and 2 km (MF2km)
were designed to examine the value of cloud-resolving ensemble forecast in predicting …
were designed to examine the value of cloud-resolving ensemble forecast in predicting …
[HTML][HTML] What does a convection-allowing ensemble of opportunity buy us in forecasting thunderstorms?
What Does a Convection-Allowing Ensemble of Opportunity Buy Us in Forecasting
Thunderstorms? in: Weather and Forecasting Volume 35 Issue 6 (2020) Jump to Content …
Thunderstorms? in: Weather and Forecasting Volume 35 Issue 6 (2020) Jump to Content …
[HTML][HTML] Using a stochastic kinetic energy backscatter scheme to improve MOGREPS probabilistic forecast skill
WJ Tennant, GJ Shutts, A Arribas… - Monthly Weather …, 2011 - journals.ametsoc.org
Berner, J., FJ Doblas-Reyes, TN Palmer, G. Shutts, and A. Weisheimer, 2008: Impact of a
quasi-stochastic cellular automaton backscatter scheme on the systematic error and …
quasi-stochastic cellular automaton backscatter scheme on the systematic error and …
Overview of methods for the verification of quantitative precipitation forecasts
A Rossa, P Nurmi, E Ebert - Precipitation: Advances in measurement …, 2008 - Springer
In the area of hydrological risk management, both Quantitative Precipitation Estimates (QPE)
and Quantitative Precipitation Forecasts short time scales, ie, for relatively small river and …
and Quantitative Precipitation Forecasts short time scales, ie, for relatively small river and …
Performance of 4D‐Var NWP‐based nowcasting of precipitation at the Met Office for summer 2012
SP Ballard, Z Li, D Simonin… - Quarterly Journal of the …, 2016 - Wiley Online Library
The Met Office has developed and demonstrated an hourly cycling 1.5 km resolution NWP‐
based nowcast system (0–6 h forecasts) using four‐dimensional variational data …
based nowcast system (0–6 h forecasts) using four‐dimensional variational data …