Zobrazeno 1 - 10
of 736
pro vyhledávání: '"Duncan Watson"'
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 6, Pp n/a-n/a (2024)
Abstract Emulators, or reduced complexity climate models, are surrogate Earth system models (ESMs) that produce projections of key climate quantities with minimal computational resources. Using time‐series modeling or more advanced machine learning
Externí odkaz:
https://doaj.org/article/20a6da5520a24f87972e1b0045edb781
Autor:
Ci Song, Daniel T. McCoy, Trude Eidhammer, Andrew Gettelman, Isabel L. McCoy, Duncan Watson‐Parris, Casey J. Wall, Gregory Elsaesser, Robert Wood
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 11, Pp n/a-n/a (2024)
Abstract Aerosol‐cloud interactions (ACI) in warm clouds are the primary source of uncertainty in effective radiative forcing (ERF) during the historical period and, by extension, inferred climate sensitivity. The ERF due to ACI (ERFaci) is compose
Externí odkaz:
https://doaj.org/article/34278c1c20584837b725878243dd7fc9
Publikováno v:
Environmental Data Science, Vol 3 (2024)
Aerosol-cloud interactions constitute the largest source of uncertainty in assessments of anthropogenic climate change. This uncertainty arises in part from the difficulty in measuring the vertical distributions of aerosols, and only sporadic vertica
Externí odkaz:
https://doaj.org/article/09fd9e599a97427eb500a369a8e77c88
Autor:
Gunnar Myhre, Bjørn Samset, Piers M. Forster, Øivind Hodnebrog, Marit Sandstad, Christian W. Mohr, Jana Sillmann, Camilla W. Stjern, Timothy Andrews, Olivier Boucher, Gregory Faluvegi, Trond Iversen, Jean-Francois Lamarque, Matthew Kasoar, Alf Kirkevåg, Ryan Kramer, Longbo Liu, Johannes Mülmenstädt, Dirk Olivié, Johannes Quaas, Thomas B. Richardson, Dilshad Shawki, Drew Shindell, Chris Smith, Philip Stier, Tao Tang, Toshihiko Takemura, Apostolos Voulgarakis, Duncan Watson-Parris
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-7 (2022)
Measurement(s) Climate response Technology Type(s) Climate models Sample Characteristic - Environment The climate system
Externí odkaz:
https://doaj.org/article/670c4457a81641cea731a07e812a512a
Autor:
Peter Manshausen, Duncan Watson-Parris, Lena Wagner, Pirmin Maier, Sybrand J. Muller, Gernot Ramminger, Philip Stier
Publikováno v:
Environmental Data Science, Vol 2 (2023)
The effects of anthropogenic aerosol, solid or liquid particles suspended in the air, are the biggest contributor to uncertainty in current climate perturbations. Heavy industry sites, such as coal power plants and steel manufacturers, large sources
Externí odkaz:
https://doaj.org/article/1e10843a6bf549348519fa8cfc821bad
Autor:
Hunter Brown, Xiaohong Liu, Rudra Pokhrel, Shane Murphy, Zheng Lu, Rawad Saleh, Tero Mielonen, Harri Kokkola, Tommi Bergman, Gunnar Myhre, Ragnhild B. Skeie, Duncan Watson-Paris, Philip Stier, Ben Johnson, Nicolas Bellouin, Michael Schulz, Ville Vakkari, Johan Paul Beukes, Pieter Gideon van Zyl, Shang Liu, Duli Chand
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Wildfires produce aerosols known to impact the climate, but the wider-reaching effects of this biomass burning are poorly constrained in models. Here the authors use a suite of observations from 12 campaigns around the globe to determine that the val
Externí odkaz:
https://doaj.org/article/67978b2f585942e598b2d0218c1495b2
Autor:
Paula Harder, Duncan Watson-Parris, Philip Stier, Dominik Strassel, Nicolas R. Gauger, Janis Keuper
Publikováno v:
Environmental Data Science, Vol 1 (2022)
Aerosol particles play an important role in the climate system by absorbing and scattering radiation and influencing cloud properties. They are also one of the biggest sources of uncertainty for climate modeling. Many climate models do not include ae
Externí odkaz:
https://doaj.org/article/70928cfaf389420e954d2656d707740d
Autor:
Hofmeyr, Deur Izak
Publikováno v:
Veeplaas. jul2022, Vol. 13 Issue 7, p18-19. 2p.
Autor:
Hunter Brown, Xiaohong Liu, Rudra Pokhrel, Shane Murphy, Zheng Lu, Rawad Saleh, Tero Mielonen, Harri Kokkola, Tommi Bergman, Gunnar Myhre, Ragnhild B. Skeie, Duncan Watson-Parris, Philip Stier, Ben Johnson, Nicolas Bellouin, Michael Schulz, Ville Vakkari, Johan Paul Beukes, Pieter Gideon van Zyl, Shang Liu, Duli Chand
Publikováno v:
Clean Air Journal, Vol 31, Iss 1 (2021)
Externí odkaz:
https://doaj.org/article/1d7d14f913214de488e7474980199275
Autor:
Cynthia H. Whaley, Rashed Mahmood, Knut von Salzen, Barbara Winter, Sabine Eckhardt, Stephen Arnold, Stephen Beagley, Silvia Becagli, Rong-You Chien, Jesper Christensen, Sujay Manish Damani, Xinyi Dong, Konstantinos Eleftheriadis, Nikolaos Evangeliou, Gregory Faluvegi, Mark Flanner, Joshua S. Fu, Michael Gauss, Fabio Giardi, Wanmin Gong, Jens Liengaard Hjorth, Lin Huang, Ulas Im, Yugo Kanaya, Srinath Krishnan, Zbigniew Klimont, Thomas Kühn, Joakim Langner, Kathy S. Law, Louis Marelle, Andreas Massling, Dirk Olivié, Tatsuo Onishi, Naga Oshima, Yiran Peng, David A. Plummer, Olga Popovicheva, Luca Pozzoli, Jean-Christophe Raut, Maria Sand, Laura N. Saunders, Julia Schmale, Sangeeta Sharma, Ragnhild Bieltvedt Skeie, Henrik Skov, Fumikazu Taketani, Manu A. Thomas, Rita Traversi, Kostas Tsigaridis, Svetlana Tsyro, Steven Turnock, Vito Vitale, Kaley A. Walker, Minqi Wang, Duncan Watson-Parris, Tahya Weiss-Gibbons
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Whaley, C H, Mahmood, R, Von Salzen, K, Winter, B, Eckhardt, S, Arnold, S, Beagley, S, Becagli, S, Chien, R Y, Christensen, J, Damani, S M, Dong, X, Eleftheriadis, K, Evangeliou, N, Faluvegi, G, Flanner, M, Fu, J S, Gauss, M, Giardi, F, Gong, W, Hjorth, J L, Huang, L, Im, U, Kanaya, Y, Krishnan, S, Klimont, Z, Kühn, T, Langner, J, Law, K S, Marelle, L, Massling, A, Olivié, D, Onishi, T, Oshima, N, Peng, Y, Plummer, D A, Popovicheva, O, Pozzoli, L, Raut, J C, Sand, M, Saunders, L N, Schmale, J, Sharma, S, Skeie, R B, Skov, H, Taketani, F, Thomas, M A, Traversi, R, Tsigaridis, K, Tsyro, S, Turnock, S, Vitale, V, Walker, K A, Wang, M, Watson-Parris, D & Weiss-Gibbons, T 2022, ' Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme : A multi-species, multi-model study ', Atmospheric Chemistry and Physics, vol. 22, no. 9, pp. 5775-5828 . https://doi.org/10.5194/acp-22-5775-2022
Atmospheric Chemistry and Physics (ACP)
Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics, 2022, 22 (9), pp.5775-5828. ⟨10.5194/acp-22-5775-2022⟩
Universitat Politècnica de Catalunya (UPC)
Whaley, C H, Mahmood, R, Von Salzen, K, Winter, B, Eckhardt, S, Arnold, S, Beagley, S, Becagli, S, Chien, R Y, Christensen, J, Damani, S M, Dong, X, Eleftheriadis, K, Evangeliou, N, Faluvegi, G, Flanner, M, Fu, J S, Gauss, M, Giardi, F, Gong, W, Hjorth, J L, Huang, L, Im, U, Kanaya, Y, Krishnan, S, Klimont, Z, Kühn, T, Langner, J, Law, K S, Marelle, L, Massling, A, Olivié, D, Onishi, T, Oshima, N, Peng, Y, Plummer, D A, Popovicheva, O, Pozzoli, L, Raut, J C, Sand, M, Saunders, L N, Schmale, J, Sharma, S, Skeie, R B, Skov, H, Taketani, F, Thomas, M A, Traversi, R, Tsigaridis, K, Tsyro, S, Turnock, S, Vitale, V, Walker, K A, Wang, M, Watson-Parris, D & Weiss-Gibbons, T 2022, ' Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme : A multi-species, multi-model study ', Atmospheric Chemistry and Physics, vol. 22, no. 9, pp. 5775-5828 . https://doi.org/10.5194/acp-22-5775-2022
Atmospheric Chemistry and Physics (ACP)
Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics, 2022, 22 (9), pp.5775-5828. ⟨10.5194/acp-22-5775-2022⟩
While carbon dioxide is the main cause for global warming, modeling short-lived climate forcers (SLCFs) such as methane, ozone, and particles in the Arctic allows us to simulate near-term climate and health impacts for a sensitive, pristine region th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c338362479d9f7df212f6dbe1ef24531
http://hdl.handle.net/2117/372210
http://hdl.handle.net/2117/372210