answer to Rashed Mahmood

Autor: Nick Schutgens

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1341f03f83eab4c75b5f52a51cef484b
https://doi.org/10.5194/acp-2019-1193-sc2

How Credibly Do CMIP6 Simulations Capture Historical Mean and Extreme Precipitation Changes?

Autor: Markus G. Donat, Carlos Delgado‐Torres, Paolo DeLuca, Rashed Mahmood, Pablo Ortega, Francisco J. Doblas‐Reyes

Publikováno v: Geophysical Research Letters, Vol 50, Iss 14, Pp n/a-n/a (2023)

Abstract Future precipitation changes are typically estimated from climate model simulations, while the credibility of such projections needs to be assessed by their ability to capture observed precipitation changes. Here we evaluate how skillfully h

Externí odkaz: https://doaj.org/article/74d813e7c32e49f28384c732dc052212

Toward Consistent Observational Constraints in Climate Predictions and Projections

Autor: Gabriele C. Hegerl, Andrew P. Ballinger, Ben B. B. Booth, Leonard F. Borchert, Lukas Brunner, Markus G. Donat, Francisco J. Doblas-Reyes, Glen R. Harris, Jason Lowe, Rashed Mahmood, Juliette Mignot, James M. Murphy, Didier Swingedouw, Antje Weisheimer

Publikováno v: Frontiers in Climate, Vol 3 (2021)

Observations facilitate model evaluation and provide constraints that are relevant to future predictions and projections. Constraints for uninitialized projections are generally based on model performance in simulating climatology and climate change.

Externí odkaz: https://doaj.org/article/347b314436f74c3a97a7a4d3c5da68da

Constraining low-frequency variability in climate projections to predict climate on decadal to multi-decadal time scales – a ‘poor-man’ initialized prediction system

Autor: Rashed Mahmood, Markus G. Donat, Pablo Ortega, Francisco J. Doblas-Reyes, Carlos Delgado-Torres, Margarida Samsó, Pierre-Antoine Bretonnière

Publikováno v: eISSN

Near-term projections of climate change are subject to substantial uncertainty from internal climate variability. Here we present an approach to reduce this uncertainty by sub-selecting those ensemble members that more closely resemble observed patte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3d0a50ded240b6e708f58b3b50696ca
https://egusphere.copernicus.org/preprints/2022/egusphere-2022-98/

Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study

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⟩

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