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Here are the current Papers & Articles under the research topic Numerical Weather Prediction Models (NWP, Seasonal and Climate Forecasting). Click on the title of a paper you are interested in to go straight to the full paper. Advances in weather prediction Published Jan 2019 by Science Magazine. No abstract. This is a top level, easy-to-read overview. UNFORTUNATELY NOW PLACED BEHIND PAYWALL. GFS Operational - Verification stats Graph of 500hPa geo potential heights - Day 5 verification for the GFS cycles 0z, 6z, 12z and 18z. The Global Forecast System (GFS) - Global Spectral Model (GSM) Intro: The following documentation is for the Global Spectral Model, which ran in the GFS from 1980-2019. Documentation on the current GFS (lots of info including resolution etc. Up to March 2021) The ECMWF Integrated Forecasting System - User Guide Intro: The aim of this User Guide is to help meteorologists make the best use of the forecast products from ECMWF - to increase understanding of the ensemble forecast process, to develop new products, to reach new sectors of society, to satisfy new demands. The User Guide presents the Integrated Forecasting System (IFS) and advises on how best to use the output, not least on how to build up trust in the forecast information. A good forecast that is not trusted is a worthless forecast. AROME: an overview AROME is a small scale numerical prediction model, operational at Meteo-France since December 2008. It was designed to improve short range forecasts of severe events such as intense Mediterranean precipitations (Cévenole events), severe storms, fog, urban heat during heat waves. AROME was developed in close collaboration with national and international institutes so as to benefit from the latest research in atmospheric modelling. The physical parametrizations of the model come mostly from the research Méso-NH model whereas the dynamic core is the Non-Hydrostratic ALADIN one. The size of the mesh, many time smaller than previous model, is 1.3km against 5km for ARPEGE over France. The model is initialized from data assimilation derived from the ARPEGE-IFS variational assimilation system and adapted to the AROME finer resolution. Besides available data from ARPEGE, AROME is supplied, for instance, by precise data from the ARAMIS radar network (doppler wind and precipitation), assimilated on an hourly basis. The making of : a weather forecast (how MeteoGroup prepare customer forecasts) Published 2018 Abstract: As a weather company, we at Meteogroup.com do our utmost to provide our customers with the most reliable forecasts possible. A chain of information processing and editing underlies all of the weather forecasts that we issue. The added value we have to offer is primarily due to our balanced model combinations and continuous, automatic quality checks to ensure that observations and model data are aligned optimally. MeteoGroup uses a combination of three weather prediction models to arrive at the best result. These are the ECMWF, NCEP/GFS, and UKMO. Our long-standing use of each of these models has taught us how well each scores on the various elements, which allows us to give a certain weighting in relation to each weather element to be calculated. The improvements we make to raw model data ensure that our forecasts are of the highest quality. A large number of colleagues — meteorologists, programmers, data specialists and IT professionals — dedicate all of their working hours to the above. Design and implementation of the infrastructure of HadGEM3: the next-generation Met Office climate modelling system Global Seasonal forecast system version 5 (GloSea5): a high‐resolution seasonal forecast system Impact of Atmosphere and Land Surface Initial Conditions on Seasonal Forecasts of Global Surface TemperatureThe GloSea4 Ensemble Prediction System for Seasonal Forecasting The HadGEM2 family of Met Office Unified Model Climate configurations The challenge of seasonal weather prediction The quiet revolution of numerical weather prediction The Met Office Unified Model Global Atmosphere 3.0/3.1 and JULES Global Land 3.0/3.1 configurations The NCEP climate forecast system version 2 Seasonal forecasting of tropical storms using the Met Office GloSea5 seasonal forecast system Seasonal sea ice forecast skills and predictability of the KMA's GloSea5 Statement of Guidance for Global Numerical Weather Prediction (NWP) What Is the Predictability Limit of Midlatitude Weather? Information about the Met Office Global and Regional Ensemble Prediction System (MOGREPS) The Weather Research and Forecasting (WRF) Model -
Lorenzo did a very nice listing of models and their configuration a while back. The list as good as it is, was getting a bit outdated. So since I have a minute to spare, I decided to update it, and create a new topic since the old one was, well, old. Here it is, my ultimate model configuration listing, updated in January 2015, so its the latest info of the lates. --------------------------------------------------------------------------------------------------------------------------------------------------------- UKMO - United Kingdom met office - UK - Global Model 17km Resolution, 70 Vertical Levels, model top at 0.01mb. Forecast duration: 0-144h for 00z & 12z. Run times: 00z, 06z, 12z, 18z. - UKV high resolution model 1.5-4km Resolution, 70 Vertical Levels, model top at 2mb. Forecast duration: 0-36h for run times: 03z, 09z, 15z, 21z. - MOGREPS Global ensemble forecast 33km Resolution, 70 Vertical Levels, model top at 0.01mb. Forecast duration: 0-7 days (12 members) at run times: 00z, 06z, 12z, 18z. + 0-9 hrs forecast (33 members for hybrid analysis). - MOGREPS medium-range ensemble forecast 33km Resolution, 85 Vertical Levels, model top at 0.01mb. Forecast duration: 0-15 days (24 members) at run times: 00z, 12z. - Global Seasonal Ensemble Prediction System - GloSea5 N216, 0.5°, 50km Resolution, 85 Vertical Levels, model top at 0.01mb. Forecast duration: 0–6 months. Run times: Once per month. 42 ensemble members 　 ECMWF - European center for medium range weather forecast - UK - Global Deterministic High resolution Model T1279, 0.125°, 16km Resolution, 137 Vertical Levels, model top at 0.01mb. Forecast duration: 0-240h for 00z & 12z runs. Run times: 00z, 06z, 12z, 18z. -Global Ensemble Prediction System (EPS) T639, 0.25°, 32km Resolution, 91 Vertical Levels, model top at 0.01mb. Forecast duration: 0-240h for 00z & 12z runs. 51 members (50+control run) -Global Ensemble Prediction System (EPS) - LEG B T319, 0.5°, 64km Resolution, 91 Vertical Levels, model top at 0.01mb. Forecast duration: 240-360h for 00z & 12z runs. 51 members (50+control run) -Global monthly Ensemble Prediction System - ECM32 T319, 0.5°, 64km Resolution, 91 Vertical Levels, model top at 0.01mb. Forecast duration: 0-32 days (768h). Run times: 00z every Monday and Thursday. 51 members (50+control run) -Global Seasonal Ensemble Prediction System - ECM SEAS T255, 1°, 80km Resolution, 91 Vertical Levels, model top at 0.01mb. Forecast duration: 0–7 months (monthly), 0-13 months (annual range). Run times: Once per month. 51 members (50+control run) NCEP - National center for environmental prediction - USA - Global Model - GFS (latest update) T1534, 0.25°, 13km Resolution, 64 Vertical Levels (planned to increase later to 128 levels), model top at 0.3mb. Forecast duration: 0-240h for 00z, 06z, 12z, 18z run times. - Global Model - GFS (latest update) - LEG B T574, 0.5°, 35km Resolution, 64 Vertical Levels (planned to increase later to 128 levels), model top at 0.3mb. Forecast duration: 240-384h for 00z, 06z, 12z, 18z run times. - Global Ensemble forecast model - GEFS T254, 0.5°, 55km Resolution, 42 Vertical Levels, model top at 2mb. Forecast duration: 0-192h for 00z, 06z, 12z, 18z run times. 21 members (20+control run) + Bias correction - Global Ensemble forecast model - GEFS - LEG B T190, 0.5°, 70km Resolution, 42 Vertical Levels, model top at 2mb. Forecast duration: 192-384h for 00z, 06z, 12z, 18z run times. 21 members (20+control run) + Bias correction -Global seasonal forecast system - CFSv2 T126, 1.0°, 100km Resolution, 64 Vertical Levels, model top at 0.2mb. Forecast duration: One control member 0-9 months run at 00z, 06z, 12z, 18z. Three control members 0-123 days (1 season) at 00z. Three control members 0-45 days at 06z, 12z, 18z. Total of 16 CFS runs initiate every day, of which 4 runs go out to 9 months, 3 runs (3 members in one run) go out to 1 season and 9 runs (3 members x 3 runs) go out to 45 days. FNMOC - Fleet Numerical Meteorology and Oceanography Center - USA - Global Model - NAVGEM T359, 0.5°, 50km Resolution, 50 Vertical Levels, model top at 0.04mb. Forecast duration: 0-180h for 00z, 12z / 0-144h for 06z, 18z run times. - Global Ensemble forecast model - FENS T119, 1.0°, 90km Resolution, 30 Vertical Levels, model top at 1mb. Forecast duration: 0-384h for 00z, 12z. run times. 21 members (20+control run) + Bias correction JMA - Japan Meteorological Agency - Japan - Global Spectral Model - JMA GSM T959, 0.187°, 20km Resolution, 100 Vertical Levels, model top at 0.01mb. Forecast duration: 0-84h for 00z, 06z, 18z run times / 0-240h for 12z run. - Global Ensemble forecast model - JMA EPS T479, 0.375°, 40km Resolution, 60 Vertical Levels, model top at 0.1mb. Forecast duration: 0-264h for 00z, 12z run times. 27 members. -Global monthly Ensemble Prediction System - JMA Weeklies T319, 0.562°, 60km Resolution, 60 Vertical Levels, model top at 0.1mb. Forecast duration: 0-35 days (840h), run at 12z once per month. 51 members (50+control run). - Global Seasonal Ensemble Predistion system - JMA Seasonal EPS T96, 1.875°, 180km Resolution, 40 Vertical Levels, model top at 0.4mb. Forecast duration: 0-210 days, run once a month at 00z. 51 members (50+control run). ---------------------------------------------------------------------------------------------------- Adding new GFS model topography for the end: So much for now. I will leave out GEM model, since I dont have complete data. Besides, who even uses GEM these days,... Dont ask how long it took to gather all the info. Feel free to point out if you find different information somewhere else. If you are interested in any specific model and you need info, just say it and I will do my best to find information. Regards
