Probabilistic wind speed forecasting using ensembles and Bayesian model averaging
The current weather forecasting paradigm is deterministic, based on numerical models.
Multiple estimates of the current state of the atmosphere are used to generate an ensemble …
Multiple estimates of the current state of the atmosphere are used to generate an ensemble …
Toward probabilistic post-fire debris-flow hazard decision support
Post-wildfire debris flows (PFDF) threaten life and property in western North America. They
are triggered by short-duration, high-intensity rainfall. Following a wildfire, rainfall thresholds …
are triggered by short-duration, high-intensity rainfall. Following a wildfire, rainfall thresholds …
[KSIĄŻKA][B] Calibration of medium-range weather forecasts
T Gneiting - 2014 - ecmwf.int
Statistical postprocessing techniques serve to improve the quality of numerical weather
forecasts, as they seek to generate calibrated and sharp predictive distributions of future …
forecasts, as they seek to generate calibrated and sharp predictive distributions of future …
The “inter” within interdisciplinary research: Strategies for building integration across fields
As emphasis on interdisciplinary and convergent research grows, researchers and
institutions can benefit from additional insights into how to build interdisciplinary integration …
institutions can benefit from additional insights into how to build interdisciplinary integration …
Use and communication of probabilistic forecasts
AE Raftery - Statistical Analysis and Data Mining: The ASA …, 2016 - Wiley Online Library
Probabilistic forecasts are becoming more and more available. How should they be used
and communicated? What are the obstacles to their use in practice? We review experience …
and communicated? What are the obstacles to their use in practice? We review experience …
[KSIĄŻKA][B] When weather matters: Science and services to meet critical societal needs
National Research Council, Division on Earth… - 2010 - books.google.com
The past 15 years have seen marked progress in observing, understanding, and predicting
weather. At the same time, the United States has failed to match or surpass progress in …
weather. At the same time, the United States has failed to match or surpass progress in …
[HTML][HTML] Generating and calibrating probabilistic quantitative precipitation forecasts from the high-resolution NWP model COSMO-DE
S Bentzien, P Friederichs - Weather and Forecasting, 2012 - journals.ametsoc.org
Generating and Calibrating Probabilistic Quantitative Precipitation Forecasts from the High-Resolution
NWP Model COSMO-DE in: Weather and Forecasting Volume 27 Issue 4 (2012) Jump to …
NWP Model COSMO-DE in: Weather and Forecasting Volume 27 Issue 4 (2012) Jump to …
[HTML][HTML] Locally calibrated probabilistic temperature forecasting using geostatistical model averaging and local Bayesian model averaging
Locally Calibrated Probabilistic Temperature Forecasting Using Geostatistical Model Averaging
and Local Bayesian Model Averaging in: Monthly Weather Review Volume 139 Issue 8 (2011) …
and Local Bayesian Model Averaging in: Monthly Weather Review Volume 139 Issue 8 (2011) …
Seasonal hydroclimatic forecasts as innovations and the challenges of adoption by water managers
Technological advances in forecasting the Earth's climate offer a potentially useful tool to
support planning and management decisions in water resources. Previous research has …
support planning and management decisions in water resources. Previous research has …
Use and perception of weather forecast information across Europe
AD Sivle, S Agersten, F Schmid… - Meteorological …, 2022 - Wiley Online Library
Although European studies have become more common in recent years, published research
on perception and use of weather information has been dominated by studies from the …
on perception and use of weather information has been dominated by studies from the …