Results 21 to 30 of about 981,400 (260)
Verification of deterministic solar forecasts
The field of energy forecasting has attracted many researchers from different fields (e.g., meteorology, data sciences, mechanical or electrical engineering) over the last decade.
Dazhi Yang +32 more
semanticscholar +1 more source
AIFS Single 1.1.0: an update to ECMWF's machine-learned weather forecast model AIFS [PDF]
We present version 1.1.0 of ECMWF's Artificial Intelligence Forecasting System (AIFS Single), operational since 25 February 2025. The revised system introduces a bounding-layer framework that enforces physical constraints, such as non-negativity and ...
G. Moldovan +20 more
doaj +1 more source
Evaluation of Satellite Precipitation Estimates over Australia
This study evaluates the U.S. National Oceanographic and Atmospheric Administration’s (NOAA) Climate Prediction Center morphing technique (CMORPH) and the Japan Aerospace Exploration Agency’s (JAXA) Global Satellite Mapping of Precipitation ...
Zhi-Weng Chua +2 more
doaj +1 more source
Analysing EU Countries’ Digital Progress Towards Sustainable Development Goals [PDF]
The article analyses the level of digitalization in the European Union (EU) and correlates the results with the Sustainable Development Goals formulated by the United Nations.
Alexandra-Nicoleta Ciucu (Durnoi) +3 more
doaj +1 more source
On the reliability of seasonal snow forecasts [PDF]
Reliable information on seasonal snow conditions is important for long-range weather forecasting and climate modeling. The reliability of winter-mean hindcasts of snow water equivalent (SWE) produced by the ECMWF for the period 1993–2022 within the ...
E. Vorobeva +6 more
doaj +1 more source
Evaluating Probabilistic Forecasts with scoringRules [PDF]
Probabilistic forecasts in the form of probability distributions over future events have become popular in several fields including meteorology, hydrology, economics, and demography.
Alexander I. Jordan +2 more
semanticscholar +1 more source
Combining Probabilistic Load Forecasts [PDF]
Probabilistic load forecasts provide comprehensive information about future load uncertainties. In recent years, many methodologies and techniques have been proposed for probabilistic load forecasting.
Yi Wang +5 more
semanticscholar +1 more source
Machine Learning in Tropical Cyclone Forecast Modeling: A Review
Tropical cyclones have always been a concern of meteorologists, and there are many studies regarding the axisymmetric structures, dynamic mechanisms, and forecasting techniques from the past 100 years.
Rui Chen, Weimin Zhang, Xiang Wang
doaj +1 more source
Evaluating Individual and Mean Non-Replicable Forecasts [PDF]
Macroeconomic forecasts are often based on the interaction between econometric models and experts. A forecast that is based only on an econometric model is replicable and may be unbiased, whereas a forecast that is not based only on an econometric model,
Michael McAleer +2 more
core +4 more sources
This paper reviews the evolution of planetary boundary layer (PBL) parameterization schemes that have been used in the operational version of the Hurricane Weather Research and Forecasting (HWRF) model since 2011.
Jun A. Zhang +5 more
doaj +1 more source

