Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Economou, Theo"'
Autor:
Economou, Theo, Parliari, Daphne, Tobias, Aurelio, Dawkins, Laura, Stoner, Oliver, Steptoe, Hamish, Lowe, Rachel, Athanasiadou, Maria, Sarran, Christophe, Lelieveld, Jos
We present a statistical modelling framework for implementing Distributed Lag Models (DLMs), encompassing several extensions of the approach to capture the temporally distributed effect from covariates via regression. We place DLMs in the context of
Externí odkaz:
http://arxiv.org/abs/2407.13374
As the costs of sensors and associated IT infrastructure decreases - as exemplified by the Internet of Things - increasing volumes of observational data are becoming available for use by environmental scientists. However, as the number of available o
Externí odkaz:
http://arxiv.org/abs/2201.10544
Autor:
Lazoglou, Georgia1 (AUTHOR) g.lazoglou@cyi.ac.cy, Economou, Theo1 (AUTHOR), Anagnostopoulou, Christina2 (AUTHOR), Zittis, George1 (AUTHOR), Tzyrkalli, Anna1 (AUTHOR), Georgiades, Pantelis1,3 (AUTHOR), Lelieveld, Jos1,4 (AUTHOR) jos.lelieveld@mpic.de
Publikováno v:
Geoscientific Model Development. 2024, Vol. 17 Issue 11, p4689-4703. 15p.
Autor:
Parliari, Daphne, Economou, Theo, Giannaros, Christos, Kushta, Jonilda, Melas, Dimitris, Matzarakis, Andreas, Lelieveld, Jos
Publikováno v:
In Urban Climate July 2024 56
For geospatial modelling and mapping tasks, variants of kriging - the spatial interpolation technique developed by South African mining engineer Danie Krige - have long been regarded as the established geostatistical methods. However, kriging and its
Externí odkaz:
http://arxiv.org/abs/2008.07320
Forecasting the weather is an increasingly data intensive exercise. Numerical Weather Prediction (NWP) models are becoming more complex, with higher resolutions, and there are increasing numbers of different models in operation. While the forecasting
Externí odkaz:
http://arxiv.org/abs/2005.06613
The COVID-19 pandemic has highlighted delayed reporting as a significant impediment to effective disease surveillance and decision-making. In the absence of timely data, statistical models which account for delays can be adopted to nowcast and foreca
Externí odkaz:
http://arxiv.org/abs/1912.05965
Akademický článek
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Akademický článek
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Autor:
Stoner, Oliver, Economou, Theo
For hydrological applications, such as urban flood modelling, it is often important to be able to simulate sub-daily rainfall time series from stochastic models. However, modelling rainfall at this resolution poses several challenges, including a com
Externí odkaz:
http://arxiv.org/abs/1906.03846