Zobrazeno 1 - 10
of 11
pro vyhledávání: '"S. V. Henriksson"'
Autor:
S. V. Henriksson, J.-P. Pietikäinen, A.-P. Hyvärinen, P. Räisänen, K. Kupiainen, J. Tonttila, R. Hooda, H. Lihavainen, D. O'Donnell, L. Backman, Z. Klimont, A. Laaksonen
Publikováno v:
Atmospheric Chemistry and Physics, Vol 14, Iss 18, Pp 10177-10192 (2014)
Climate–aerosol interactions in India are studied by employing the global climate–aerosol model ECHAM5-HAM and the GAINS inventory for anthropogenic aerosol emissions. Model validation is done for black carbon surface concentrations in Mukteshwar
Externí odkaz:
https://doaj.org/article/93896b924fb8403aa9711f1d28cf2b18
Autor:
S. V. Henriksson, A. Laaksonen, V.-M. Kerminen, P. Räisänen, H. Järvinen, A.-M. Sundström, G. de Leeuw
Publikováno v:
Atmospheric Chemistry and Physics, Vol 11, Iss 15, Pp 7975-7990 (2011)
A climate-aerosol model is employed to study spatial and temporal variability of aerosol properties over India and China for recent (year 2006) and future conditions (year 2020) under different emission pathways. We present results for aerosol mass c
Externí odkaz:
https://doaj.org/article/bbf2251abc294a8c820f73a682f9e442
Publikováno v:
Climate of the Past, Vol 6, Iss 4, Pp 411-414 (2010)
In their article from 2006, Annan and Hargreaves present a probabilistic estimate of climate sensitivity obtained by using Bayes' theorem to combine information from different sources. In this comment article we critisize two aspects of their reasoni
Externí odkaz:
https://doaj.org/article/5ccdfc07f8974f3d95e739589e4fb247
Autor:
Ari Laaksonen, Joni-Pekka Pietikäinen, Zbigniew Klimont, Declan O'Donnell, Petri Räisänen, Antti-Pekka Hyvärinen, J. Tonttila, Rakesh K. Hooda, Kaarle Kupiainen, Heikki Lihavainen, Leif Backman, S. V. Henriksson
Publikováno v:
Atmospheric Chemistry and Physics, Vol 14, Iss 18, Pp 10177-10192 (2014)
Climate–aerosol interactions in India are studied by employing the global climate–aerosol model ECHAM5-HAM and the GAINS inventory for anthropogenic aerosol emissions. Model validation is done for black carbon surface concentrations in Mukteshwar
Publikováno v:
Theoretical and Applied Climatology. 119:667-677
Using the long annual mean temperature time series provided by millennium Earth System Model simulations and a method of discrete Fourier transform with varying starting point and length of time window together with averaging, we get good fits to pow
Publikováno v:
Atmospheric Research. :107-118
We study climate effects of mid- and high-latitude volcanic eruptions seen in an ensemble of six 1200-year simulations with the COSMOS Earth System Model. 18 eruptions are studied, of which 7 happen in January, 8 in July and 3 in September. The avera
Publikováno v:
Climate of the Past, Vol 6, Iss 4, Pp 411-414 (2010)
In their article from 2006, Annan and Hargreaves present a probabilistic estimate of climate sensitivity obtained by using Bayes' theorem to combine information from different sources. In this comment article we critisize two aspects of their reasoni
Autor:
S. V. Henriksson, J.-P. Pietikäinen, A.-P. Hyvärinen, P. Räisänen, K. Kupiainen, J. Tonttila, R. Hooda, H. Lihavainen, L. Backman, Z. Klimont, A. Laaksonen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1be238b8fa7abbc8ef01cf13756b2ed
https://doi.org/10.5194/acpd-13-18031-2013-supplement
https://doi.org/10.5194/acpd-13-18031-2013-supplement
Autor:
S. V. Henriksson, J.-P. Pietikäinen, A.-P. Hyvärinen, P. Räisänen, K. Kupiainen, J. Tonttila, R. Hooda, H. Lihavainen, L. Backman, Z. Klimont, A. Laaksonen
Climate-aerosol interactions in India are studied by employing the global climate-aerosol model ECHAM5-HAM and the GAINS inventory for anthropogenic aerosol emissions. Seasonal cycles and spatial distributions of radiative forcing and the temperature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25f6297bd186e05d5ee9d51bb866d345
https://doi.org/10.5194/acpd-13-18031-2013
https://doi.org/10.5194/acpd-13-18031-2013
Using a method of discrete Fourier transform with varying starting point and length of time window and the long time series provided by millennium Earth System Model simulations, we get good fits to power laws between two characteristic oscillatory t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60391de68a42b1a0a2e7a48295ebe4df
https://doi.org/10.5194/esdd-3-391-2012
https://doi.org/10.5194/esdd-3-391-2012