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Rashed Mahmood

Biographic Data

ID8000645
NAMERashed Mahmood
GIVEN NAMESRashed
FAMILY NAMEMahmood
SIGNATUREMAHMOOD R
AFFILIATIONSBarcelona Supercomputing Center
ORCID0000-0002-3583-2232
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Constraining the NAO-temperature teleconnection in CMIP6 simulations enables skillful multi-annual predictions of Eurasian winter climate

    Open Access•Rashed Mahmood, Shuting Yang et al.•ARTICLE•Environmental Research Letters•2025

    Predicting the winter climate over Eurasia is challenging as both the initialized predictions and uninitialized climate projections show limited skill in reproducing observed variability on multi-annual to decadal timescales. This study presents a novel approach to constrain variability in projection simulations over Eurasia by exploiting the spatial patterns of teleconnection between the North Atlantic Oscillation (NAO) and the near-surface air …

  • Constraining decadal variability regionally improves near-term projections of hot, cold and dry extremes

    Open Access•Paolo De Luca, Carlos Delgado‐Torres et al.•ARTICLE•Environmental Research Letters•2023

    Hot, 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 to better plan and adapt to future impacts of these events. The intensity, duration and frequency of such extremes are affected by anthropogenic climate change and modulated by different modes of climate variability. Here, we u…

  • Assessing satellite-based start-of-season trends in the US High Plains

    Open Access•Xiaomao Lin, K G Hubbard et al.•ARTICLE•Environmental Research Letters•2014

    To adequately assess the effects of global warming it is necessary to address trends and impacts at the local level. This study examines phenological changes in the start-of-season (SOS) derived from satellite observations from 1982–2008 in the US High Plains region. The surface climate-based SOS was also evaluated. The averaged profiles of SOS from 37° to 49°N latitude by satellite- and climate-based methods were in reasonable agreement, especia…

No prominent works on this page.

  • Assessing satellite-based start-of-season trends in the US High Plains

    Open Access•Xiaomao Lin, K G Hubbard et al.•ARTICLE•Environmental Research Letters•2014

    To adequately assess the effects of global warming it is necessary to address trends and impacts at the local level. This study examines phenological changes in the start-of-season (SOS) derived from satellite observations from 1982–2008 in the US High Plains region. The surface climate-based SOS was also evaluated. The averaged profiles of SOS from 37° to 49°N latitude by satellite- and climate-based methods were in reasonable agreement, especia…

  • Constraining decadal variability regionally improves near-term projections of hot, cold and dry extremes

    Open Access•Paolo De Luca, Carlos Delgado‐Torres et al.•ARTICLE•Environmental Research Letters•2023

    Hot, 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 to better plan and adapt to future impacts of these events. The intensity, duration and frequency of such extremes are affected by anthropogenic climate change and modulated by different modes of climate variability. Here, we u…

  • Constraining the NAO-temperature teleconnection in CMIP6 simulations enables skillful multi-annual predictions of Eurasian winter climate

    Open Access•Rashed Mahmood, Shuting Yang et al.•ARTICLE•Environmental Research Letters•2025

    Predicting the winter climate over Eurasia is challenging as both the initialized predictions and uninitialized climate projections show limited skill in reproducing observed variability on multi-annual to decadal timescales. This study presents a novel approach to constrain variability in projection simulations over Eurasia by exploiting the spatial patterns of teleconnection between the North Atlantic Oscillation (NAO) and the near-surface air …

Climate change (3 works) · Climate variability and models (3 works) · Climatology (3 works) · Environmental Science (3 works) · Geography (3 works) · Geology (3 works) · Meteorology (3 works) · Climate model (2 works) · Precipitation (2 works) · Agronomy (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae