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Found 10000 publications. Showing page 208 of 400:

Publication  
Year  
Category

Inverse modeling of halocarbons: sensitivity to the baseline definition

Vojta, Martin; Thompson, Rona Louise; Zwaaftink, Christine Groot; Stohl, Andreas

2021

Inverse modeling of 137Cs during Chernobyl 2020 wildfires without the first guess

Tichý, Ondřej; Evangeliou, Nikolaos; Selivanova, Anna; Šmídl, Václav

2025

Inventory Review 2006; Emission Data reported to the LRTAP Convention and NEC Directive. Stage 1, 2 and 3 review and evaluation of inventories of HMs and POPs. EMEP/MSC-W Technical report, 1/2006

Vestreng, V.; Rigler, E.; Adams, M.; Kindbom, K.; Pacyna, J.M.; van der Gon, H.D.; Reis, S.; Travnikov, O.

2006

Inventory review 2005. Emission data reported to LRTAP Convention and NEC Directive. Initial review for HMs and POPs. EMEP/MSC-W Technical report, 1/2005

Vestreng, V.; Breivik, K.; Adams, M.; Wagner, A.; Goodwin, J.; Rozovskaya, O.; Pacyna J.M.

2005

Intuitively tuned elastic bias correction of atmospheric inversion using Gaussian process prior: Application to accidental radioactive emissions

Brožová, Antonie; Šmídl, Václav; Tichý, Ondřej; Evangeliou, Nikolaos

Precise estimation of atmospheric pollutant releases is crucial for assessing the impact of environmental accidents. Atmospheric inversion typically relies on a linear model with a source–receptor sensitivity (SRS) matrix, which may contain significant errors or even completely fail to capture the real magnitude of the event. We propose a correction of the SRS matrix formulated as slight shifts in the observation locations, effectively warping the sensitivity field. To constrain these shifts and ensure data-driven corrections, we model them using a Gaussian process prior. This prior not only enforces smoothness and sparsity, but also enables posterior prediction of shifts at previously unseen locations. This key feature provides a mechanism for hyper-parameter tuning: the predicted shift field can be visualized on a map and assessed by an expert. We present a user-friendly framework that combines a Bayesian inversion model with correction and a tuning algorithm based on L-curve-like plots and the maps of predicted shifts. The proposed method is demonstrated on three case studies: the ETEX-I experiment, the 137Cs emissions during the 2020 Chernobyl wildfires, and the 106Ru release in 2017.

2026

Introduction: Redox interfaces in marine waters. Handbook of Environmental Chemistry, 22

Yakushev, E.V.; Newton, A.

2013

Introduction: geoscientific knowledgebase of Chernobyl and Fukushima.

Yamauchi, M.; Voitsekhovych, O.; Korobova, E.; Stohl, A.; Wotawa, G.; Kita, K.; Aoyama, M.; Yoshida, N.

2013

Introduction. NILU F

Yttri, K.E.

2014

Introduction to the European Monitoring and Evaluation Programme (EMEP) and observed atmospheric composition change during 1972-2009.

Tørseth, K.; Aas, W.; Breivik, K.; Fjæraa, A.M.; Fiebig, M.; Hjellbrekke, A.-G.; Lund Myhre, C.; Solberg, S.; Yttri, K.E.

2012

Introduction to hCOMET special issue, 'Comet assay in vitro'

Dusinska, Maria; Costa, Solange; Collins, Andrew

2019

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