Progress and challenges in forecast verification

E Ebert, L Wilson, A Weigel… - Meteorological …, 2013 - Wiley Online Library
Verification scientists and practitioners came together at the 5th I nternational V erification M
ethods W orkshop in M elbourne, A ustralia, in D ecember 2011 to discuss methods for …

[HTML][HTML] RainNet v1. 0: a convolutional neural network for radar-based precipitation nowcasting

G Ayzel, T Scheffer… - Geoscientific Model …, 2020 - gmd.copernicus.org
In this study, we present RainNet, a deep convolutional neural network for radar-based
precipitation nowcasting. Its design was inspired by the U-Net and SegNet families of deep …

[HTML][HTML] Pysteps: An open-source Python library for probabilistic precipitation nowcasting (v1. 0)

S Pulkkinen, D Nerini, AA Pérez Hortal… - Geoscientific Model …, 2019 - gmd.copernicus.org
Pysteps is an open-source and community-driven Python library for probabilistic
precipitation nowcasting, that is, very-short-range forecasting (0–6 h). The aim of pysteps is …

The first Met Office Unified Model–JULES regional atmosphere and land configuration, RAL1

M Bush, T Allen, C Bain, I Boutle… - Geoscientific Model …, 2020 - gmd.copernicus.org
In this paper we define the first Regional Atmosphere and Land (RAL) science configuration
for kilometre-scale modelling using the Unified Model (UM) as the basis for the atmosphere …

Intercomparison of spatial forecast verification methods

E Gilleland, D Ahijevych, BG Brown… - Weather and …, 2009 - journals.ametsoc.org
Advancements in weather forecast models and their enhanced resolution have led to
substantially improved and more realistic-appearing forecasts for some variables. However …

[HTML][HTML] The southern China monsoon rainfall experiment (SCMREX)

Y Luo, R Zhang, Q Wan, B Wang… - Bulletin of the …, 2017 - journals.ametsoc.org
The Southern China Monsoon Rainfall Experiment (SCMREX) in: Bulletin of the American
Meteorological Society Volume 98 Issue 5 (2017) Jump to Content Jump to Main Navigation …

Kilometre‐scale ensemble data assimilation for the COSMO model (KENDA)

C Schraff, H Reich, A Rhodin… - Quarterly Journal of …, 2016 - Wiley Online Library
An ensemble Kalman filter for convective‐scale data assimilation (KENDA) has been
developed for the COnsortium for Small‐scale MOdelling (COSMO) model. The KENDA …

Spatial solar forecast verification with the neighborhood method and automatic threshold segmentation

X Zhang, D Yang, H Zhang, B Liu, M Li, Y Chu… - … and Sustainable Energy …, 2024 - Elsevier
Numerical weather prediction (NWP) has hitherto been the default tool for providing day-
ahead forecasting services to the solar energy industry. Rapid advancements in solar …

[HTML][HTML] Object-based verification of a prototype Warn-on-Forecast system

PS Skinner, DM Wheatley… - Weather and …, 2018 - journals.ametsoc.org
Object-Based Verification of a Prototype Warn-on-Forecast System in: Weather and Forecasting
Volume 33 Issue 5 (2018) Jump to Content Jump to Main Navigation Logo Logo Logo Logo …

Spatial and temporal evaluation of radar rainfall nowcasting techniques on 1,533 events

RO Imhoff, CC Brauer, A Overeem… - Water Resources …, 2020 - Wiley Online Library
Radar rainfall nowcasting, the process of statistically extrapolating the most recent rainfall
observation, is increasingly used for very short range rainfall forecasting (less than 6 hr …