Zobrazeno 1 - 10
of 466
pro vyhledávání: '"M. Righi"'
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 3217-3240 (2024)
Atmospheric aerosols can act as ice-nucleating particles (INPs) and influence the formation and the microphysical properties of cirrus clouds, resulting in distinct climate effects. We employ a global aerosol–climate model, including a two-moment c
Externí odkaz:
https://doaj.org/article/564eccaacc464868ba4713bb373e40b6
Publikováno v:
Earth System Dynamics, Vol 14, Pp 835-859 (2023)
A global aerosol–climate model is applied to quantify the impact of the transport sectors (land transport, shipping, and aviation) on aerosol and climate. Global simulations are performed for the present day (2015), based on the emission inventory
Externí odkaz:
https://doaj.org/article/2974603e9eb1499bbd5b1cae8f8f5c18
Autor:
R. N. Thor, M. Mertens, S. Matthes, M. Righi, J. Hendricks, S. Brinkop, P. Graf, V. Grewe, P. Jöckel, S. Smith
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 1459-1466 (2023)
We report on an inconsistency in the latitudinal distribution of aviation emissions between the data products of phases 5 and 6 of the Coupled Model Intercomparison Project (CMIP). Emissions in the CMIP6 data occur at higher latitudes than in the CMI
Externí odkaz:
https://doaj.org/article/b5042b447cae467b86159970b5f7fa69
Publikováno v:
Atmospheric Chemistry and Physics, Vol 22, Pp 15887-15907 (2022)
Atmospheric aerosols can act as ice-nucleating particles (INPs), thereby influencing the formation and the microphysical properties of cirrus clouds, resulting in distinct climate effects. In addition to mineral dust and soot particles, laboratory ex
Externí odkaz:
https://doaj.org/article/07af38cf49e84050af35e4ff5795e127
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 509-533 (2022)
The K-means machine learning algorithm is applied to climatological data of seven aerosol properties from a global aerosol simulation using EMAC-MADE3. The aim is to partition the aerosol properties across the global atmosphere in specific aerosol re
Externí odkaz:
https://doaj.org/article/172ddcc000fd4ac184416e4b37440703
Publikováno v:
Atmospheric Chemistry and Physics, Vol 21, Pp 17267-17289 (2021)
A global aerosol–climate model, including a two-moment cloud microphysical scheme and a parametrization for aerosol-induced ice formation in cirrus clouds, is applied in order to quantify the impact of aviation soot on natural cirrus clouds. Severa
Externí odkaz:
https://doaj.org/article/6a9eb7ba3ed14e5682a14751bdf8dc28
Autor:
K. Weigel, L. Bock, B. K. Gier, A. Lauer, M. Righi, M. Schlund, K. Adeniyi, B. Andela, E. Arnone, P. Berg, L.-P. Caron, I. Cionni, S. Corti, N. Drost, A. Hunter, L. Lledó, C. W. Mohr, A. Paçal, N. Pérez-Zanón, V. Predoi, M. Sandstad, J. Sillmann, A. Sterl, J. Vegas-Regidor, J. von Hardenberg, V. Eyring
Publikováno v:
Geoscientific Model Development, Vol 14, Pp 3159-3184 (2021)
This paper complements a series of now four publications that document the release of the Earth System Model Evaluation Tool (ESMValTool) v2.0. It describes new diagnostics on the hydrological cycle, extreme events, impact assessment, regional evalua
Externí odkaz:
https://doaj.org/article/20b1697508194535ab6af9009b9e159d
Autor:
C. G. Beer, J. Hendricks, M. Righi, B. Heinold, I. Tegen, S. Groß, D. Sauer, A. Walser, B. Weinzierl
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 4287-4303 (2020)
It was hypothesized that using mineral dust emission climatologies in global chemistry climate models (GCCMs), i.e. prescribed monthly-mean dust emissions representative of a specific year, may lead to misrepresentations of strong dust burst events.
Externí odkaz:
https://doaj.org/article/adbde67567994ef8a262815019c9e497
Autor:
A. Lauer, V. Eyring, O. Bellprat, L. Bock, B. K. Gier, A. Hunter, R. Lorenz, N. Pérez-Zanón, M. Righi, M. Schlund, D. Senftleben, K. Weigel, S. Zechlau
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 4205-4228 (2020)
The Earth System Model Evaluation Tool (ESMValTool), a community diagnostics and performance metrics tool for evaluation and analysis of Earth system models (ESMs), is designed to facilitate a more comprehensive and rapid comparison of single or mult
Externí odkaz:
https://doaj.org/article/5415c03658f245abbdeeadc3c2ed9950
Autor:
V. Eyring, L. Bock, A. Lauer, M. Righi, M. Schlund, B. Andela, E. Arnone, O. Bellprat, B. Brötz, L.-P. Caron, N. Carvalhais, I. Cionni, N. Cortesi, B. Crezee, E. L. Davin, P. Davini, K. Debeire, L. de Mora, C. Deser, D. Docquier, P. Earnshaw, C. Ehbrecht, B. K. Gier, N. Gonzalez-Reviriego, P. Goodman, S. Hagemann, S. Hardiman, B. Hassler, A. Hunter, C. Kadow, S. Kindermann, S. Koirala, N. Koldunov, Q. Lejeune, V. Lembo, T. Lovato, V. Lucarini, F. Massonnet, B. Müller, A. Pandde, N. Pérez-Zanón, A. Phillips, V. Predoi, J. Russell, A. Sellar, F. Serva, T. Stacke, R. Swaminathan, V. Torralba, J. Vegas-Regidor, J. von Hardenberg, K. Weigel, K. Zimmermann
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 3383-3438 (2020)
The Earth System Model Evaluation Tool (ESMValTool) is a community diagnostics and performance metrics tool designed to improve comprehensive and routine evaluation of Earth system models (ESMs) participating in the Coupled Model Intercomparison Proj
Externí odkaz:
https://doaj.org/article/838db66cccb7488b80bdb57dfd5227dd