Results 161 to 170 of about 503,210 (300)

Impact of Packaging and Recycling Systems on Material Recirculation: A Stage‐Decomposition Model

open access: yesPackaging Technology and Science, EarlyView.
A system‐level view emerges from decomposing recycling into four stages (participation, collection, sorting and process yield), diagnosing constraints and targeting interventions. Cumulative equivalent uses (CEUs) quantify long‐term retention, revealing marginal improvements at high baselines generate disproportionately larger gains than low‐baseline ...
Diogo Figueirinhas   +3 more
wiley   +1 more source

Forecast verification using information and noise

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Verification of weather forecasts is usually expressed in terms of total error metrics. This is useful for end users of the forecasts but does not allow evaluation of the intrinsic information content of the forecasts. To overcome this limitation, we propose a new total error decomposition into information and noise error measures, connect it to ...
Massimo Bonavita, Alan J. Geer
wiley   +1 more source

A structurally localized ensemble Kalman filtering approach

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih   +1 more
wiley   +1 more source

NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part II: Verification

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
In this work we present the verification of the NowPrecip precipitation nowcasting systems (version 1 and version 2). Using 3.5 years of data over the period 2020–2023, their performance is compared with PySTEPS and the ICON numerical weather prediction ensemble by computing deterministic and probabilistic metrics.
A. Ntoumos   +8 more
wiley   +1 more source

Are we misdiagnosing ensemble forecast reliability? On the insufficiency of spread–error and rank‐based reliability metrics

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We demonstrate that the spread–error relationship, rank histogram, and continuous rank probability score reliability component can falsely indicate reliability under climatological variance biases, yielding ensemble members that are overly or insufficiently extreme.
Arlan Dirkson, Mark Buehner
wiley   +1 more source

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