Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Marko Laine"'
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Dissolved Organic Carbon (DOC) is the largest organic carbon pool in the ocean. Considering the biotic and abiotic factors controlling DOC processes, indirect satellite methods for open ocean DOC estimation can be developed, using conceptual, empiric
Externí odkaz:
https://doaj.org/article/cf19fcb0a37b4e619439c754a43f210c
Autor:
Anu Kauppi, Antti Kukkurainen, Antti Lipponen, Marko Laine, Antti Arola, Hannakaisa Lindqvist, Johanna Tamminen
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1945 (2024)
This article presents a method within a Bayesian framework for quantifying uncertainty in satellite aerosol remote sensing when retrieving aerosol optical depth (AOD). By using a Bayesian model averaging technique, we take into account uncertainty in
Externí odkaz:
https://doaj.org/article/db283734558c46ea9895e837df5b0081
Autor:
Zengmiao Wang, Peiyi Wu, Lin Wang, Bingying Li, Yonghong Liu, Yuxi Ge, Ruixue Wang, Ligui Wang, Hua Tan, Chieh-Hsi Wu, Marko Laine, Henrik Salje, Hongbin Song
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 9, p e1011492 (2023)
China had conducted some of the most stringent public health measures to control the spread of successive SARS-CoV-2 variants. However, the effectiveness of these measures and their impacts on the associated disease burden have rarely been quantitati
Externí odkaz:
https://doaj.org/article/bc11eb8bc1574151912bddb066cdc059
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 75, Iss 1, Pp 69–87-69–87 (2023)
In numerical weather prediction (NWP), ensemble forecasting aims to quantify the flow-dependent forecast uncertainty. The focus here is on observation-based verification of the reliability of ensemble forecasting systems. In particular, at short fore
Externí odkaz:
https://doaj.org/article/741107f566854b63be9847c1af848059
Autor:
Leila Hieta, Mikko Partio, Marko Laine, Marja-Liisa Tuomola, Harri Hohti, Tuuli Perttula, Erik Gregow, Jussi S. Ylhäisi
Publikováno v:
Meteorologische Zeitschrift, Vol 30, Iss 4, Pp 369-377 (2021)
Rapidly updating nowcasting system, Smartmet nowcast, has been developed at Finnish Meteorological Institute (FMI) to operationally produce accurate and timely short range forecasts and a detailed description of the present weather to the end-users.
Externí odkaz:
https://doaj.org/article/f312a72a83f34deeb997f601cdaee75c
Autor:
Yidan Li, Bernard Cazelles, Guoqing Yang, Marko Laine, Zheng X Y Huang, Jun Cai, Hua Tan, Nils Chr Stenseth, Huaiyu Tian
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 13, Iss 9, p e0007757 (2019)
Seoul hantavirus (SEOV) has recently raised concern by causing geographic range expansion of hemorrhagic fever with renal syndrome (HFRS). SEOV infections in humans are significantly underestimated worldwide and epidemic dynamics of SEOV-related HFRS
Externí odkaz:
https://doaj.org/article/73957d5e2e744d7b957164ad6e42f1e0
Autor:
Tomi Karppinen, Otto Lamminpää, Simo Tukiainen, Rigel Kivi, Pauli Heikkinen, Juha Hatakka, Marko Laine, Huilin Chen, Hannakaisa Lindqvist, Johanna Tamminen
Publikováno v:
Remote Sensing, Vol 12, Iss 6, p 917 (2020)
We analyzed the vertical distribution of atmospheric methane (CH 4 ) retrieved from measurements by ground-based Fourier Transform Spectrometer (FTS) instrument in Sodankylä, Northern Finland. The retrieved dataset covers 2009−2018. We used a dime
Externí odkaz:
https://doaj.org/article/18777540b428400e8746dda9c19e386b
Autor:
Huaiyu Tian, Pengbo Yu, Ottar N Bjørnstad, Bernard Cazelles, Jing Yang, Hua Tan, Shanqian Huang, Yujun Cui, Lu Dong, Chaofeng Ma, Changan Ma, Sen Zhou, Marko Laine, Xiaoxu Wu, Yanyun Zhang, Jingjun Wang, Ruifu Yang, Nils Chr Stenseth, Bing Xu
Publikováno v:
PLoS Pathogens, Vol 13, Iss 1, p e1006198 (2017)
Zoonoses are increasingly recognized as an important burden on global public health in the 21st century. High-resolution, long-term field studies are critical for assessing both the baseline and future risk scenarios in a world of rapid changes. We h
Externí odkaz:
https://doaj.org/article/514b5ca415bb408f95d287d74007c176
Autor:
Otto Lamminpää, Jonathan Hobbs, Jenný Brynjarsdóttir, Marko Laine, Amy Braverman, Hannakaisa Lindqvist, Johanna Tamminen
Publikováno v:
Remote Sensing, Vol 11, Iss 17, p 2061 (2019)
Markov Chain Monte Carlo (MCMC) is a powerful and promising tool for assessing the uncertainties in the Orbiting Carbon Observatory 2 (OCO-2) satellite’s carbon dioxide measurements. Previous research in comparing MCMC and Optimal Estimation (OE) f
Externí odkaz:
https://doaj.org/article/380d1c251a334a44a001f39e026bbec0
Autor:
Ella Kivimäki, Hannakaisa Lindqvist, Janne Hakkarainen, Marko Laine, Ralf Sussmann, Aki Tsuruta, Rob Detmers, Nicholas M. Deutscher, Edward J. Dlugokencky, Frank Hase, Otto Hasekamp, Rigel Kivi, Isamu Morino, Justus Notholt, David F. Pollard, Coleen Roehl, Matthias Schneider, Mahesh Kumar Sha, Voltaire A. Velazco, Thorsten Warneke, Debra Wunch, Yukio Yoshida, Johanna Tamminen
Publikováno v:
Remote Sensing, Vol 11, Iss 7, p 882 (2019)
Methane ( CH 4) is a potent greenhouse gas with a large temporal variability. To increase the spatial coverage, methane observations are increasingly made from satellites that retrieve the column-averaged dry air mole fraction of methane (XCH 4). To
Externí odkaz:
https://doaj.org/article/d973c23c5b274d5ea9fcf5d9e9d8424b