Browsing by Author "Mahmood, Rashed"
Now showing items 1-9 of 9
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A novel initialization technique for decadal climate predictions
Volpi, Danila; Meccia, Virna L.; Guemas, Virginie; Ortega Montilla, Pablo; Bilbao, Roberto; Doblas-Reyes, Francisco; Amaral, Arthur; Echevarria, Pablo; Mahmood, Rashed; Corti, Susanna (Frontiers Media, 2021-07)
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Open AccessModel initialization is a matter of transferring the observed information available at the start of a forecast to the model. An optimal initialization is generally recognized to be able to improve climate predictions up ... -
Constraining decadal variability regionally improves near-term projections of hot, cold and dry extremes
De Luca, Paolo; Delgado Torres, Carlos; Mahmood, Rashed; Samsó, Margarida; Donat, Markus (IOP Publishing, 2023)
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Open AccessHot, cold and dry meteorological extremes are often linked with severe impacts on the public health, agricultural, energy and environmental sectors. Skillful predictions of such extremes could therefore enable stakeholders ... -
How Credibly Do CMIP6 Simulations Capture Historical Mean and Extreme Precipitation Changes?
Donat, Markus; Delgado Torres, Carlos; Luca, Paolo de; Mahmood, Rashed; Ortega Montilla, Pablo; Doblas-Reyes, Francisco (Wiley, 2023)
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Open AccessAbstract 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 ... -
Improving the forecast quality of near-term climate projections by constraining internal variability based on decadal predictions and observations
Donat, Markus; Mahmood, Rashed; Cos, Josep; Ortega Montilla, Pablo; Doblas-Reyes, Francisco (IOP Publishing, 2024)
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Open AccessProjections of near-term climate change in the next few decades are subject to substantial uncertainty from internal climate variability. Approaches to reduce this uncertainty by constraining the phasing of climate variability ... -
Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study
Whaley, Cynthia H.; Mahmood, Rashed; von Salzen, Knut; Winter, Barbara; Eckhardt, Sabine (Copernicus Publications [, 2022-05)
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Open AccessWhile 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 ... -
Modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer Arctic and its radiative effects
Dionne, Joelle; Salzen, Knut von; Cole, Jason; Mahmood, Rashed; Leaitch, W. Richard; Lesins, Glen; Folkins, Ian; Chang, Rachel (European Geoscience Union, 2020-01-02)
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Open AccessLow clouds persist in the summer Arctic with important consequences for the radiation budget. In this study, we simulate the linear relationship between liquid water content (LWC) and cloud droplet number concentration ... -
Near-term Mediterranean summer temperature climate projections: a comparison of constraining methods
Cos, Pep; Marcos Matamoros, Raül; Donat, Markus; Mahmood, Rashed; Doblas-Reyes, Francisco (American Meteorological Society, 2024-06)
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Open AccessThere are several methods to constrain multimodel projections of future climate. This study assesses the quality of four constraining methods in representing the near-term summer temperature projections of the Mediterranean ... -
Present and future aerosol impacts on Arctic climate change in the GISS-E2.1 Earth system model
Im, Ulas; Tsigaridis, Kostas; Faluvegi, Gregory; Langen, Peter L.; French, Joshua P.; Mahmood, Rashed; Thomas, Manu A.; Salzen, Knut von; Thomas, Daniel C.; Whaley, Cynthia H.; Klimont, Zbigniew; Skov, Henrik; Brandt, Jørgen (European Geosciences Union, 2021)
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Open AccessThe Arctic is warming 2 to 3 times faster than the global average, partly due to changes in short-lived climate forcers (SLCFs) including aerosols. In order to study the effects of atmospheric aerosols in this warming, ... -
Toward consistent observational constraints in climate predictions and projections
Hegerl, Gabriele C.; Ballinger, Andrew P.; Booth, Ben B. B.; Borchert, Leonard F.; Brunner, Lukas; Donat, Markus; Doblas-Reyes, Francisco; Mahmood, Rashed (Frontiers Media, 2021-06)
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Open AccessObservations 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 ...