Tuukka Petäjä

TL;DR: In this paper , the authors discuss the importance of turbulence for atmospheric phenomena and feedbacks in different environments and discuss how boundary-layer dynamics links to aerosols and air pollution, and present a roadmap from deep understanding to practical solutions.

TL;DR: In this article , the authors proposed an end-to-end convolutional neural network (CNN) for the retrieval of multiple atmospheric environmental parameters (RMEPs) from images.

TL;DR: In this paper, the authors measured the variability of air ion concentrations (0.8-20 nm) with an ion spectrometer between 2011 and 2014 at T0t site and between February and October 2014 at the GoAmazon 2014/5 T3 site.

TL;DR: In this article, the authors apply two theoretical needle-level equations to predict the photosynthetic CO2 flux in five Scots pine stands located from the northern timberline to Central Europe, and the result has strong implications for our conceptual understanding of the effects of global change on the processes in boreal forests, especially of the changes in the metabolic annual cycle of photosynthesis.

TL;DR: In this article , the authors investigated the apparent temperature dependency of daytime ozone concentration in the Finnish boreal forest in summertime based on long-term measurements and used statistical mixed effects models to separate the direct effects of temperature from other factors influencing this dependency.