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T. T. van Leeuwen

Researcher at Utrecht University

Publications -  37
Citations -  3331

T. T. van Leeuwen is an academic researcher from Utrecht University. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 14, co-authored 27 publications receiving 2998 citations. Previous affiliations of T. T. van Leeuwen include VU University Amsterdam & Netherlands Institute for Space Research.

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Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997-2009)

TL;DR: In this paper, the authors used a revised version of the Carnegie-Ames-Stanford-Approach (CASA) biogeochemical model and improved satellite-derived estimates of area burned, fire activity, and plant productivity to calculate fire emissions for the 1997-2009 period on a 0.5° spatial resolution with a monthly time step.
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A penalty method for PDE-constrained optimization in inverse problems

TL;DR: In this article, a quadratic penalty formulation of the constrained optimization problem is proposed to solve the inverse and parameter estimation problems arising from inverse problems, where the objective is to find a stationary point of the Lagrangian and update the parameters and the state variables simultaneously.
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Spatial and temporal variability in the ratio of trace gases emitted from biomass burning

TL;DR: In this paper, the authors used the available body of EF literature in combination with satellite-derived information on vegetation characteristics and climatic conditions to better understand the spatio-temporal variability in EFs.
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Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 2: Carbon emissions and the role of fires in the global carbon balance

TL;DR: In this paper, the role of fires in terrestrial terrestrial carbon balance was modelled using the ORCHIDEE global vegetation model equipped with the SPITFIRE model, and it was shown that fire-induced land sink reduction is significantly correlated with climate variability, with larger sink reduction occurring in warm and dry years, in particular during El Nino events.