The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments
By C. Gordon, C. Cooper, C. Senior, H. Banks, J. Gregory, T. Johns, J. Mitchell, R. Wood. 2000
2,862 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change, Oceanography
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- M. Webb
- J. Gregory
- Reto Knutti
- John Marshall
- Johann Jungclaus
- Stephen A. Klein
- Jochem Marotzke
- C. Bitz
In Global and Planetary Change
- Reto Knutti
- J. Gregory
- M. Webb
- Jochem Marotzke
- S. Griffies
- John Marshall
- M. Zelinka
- Richard S. J. Tol
In Oceanography
- S. Griffies
- John Marshall
- Robert Hallberg
- Jochem Marotzke
- Gokhan Danabasoglu
- R. Sutton
- B. Fox‐Kemper
- Francesco Bosello
Citations in the corpus
- Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problem (2019, methodology): “To emulate HadCM3, we use an encoder-decoder network similar to UNet (Ronneberger, 2015) given HadCM3 output is largely deterministic, which can be augmented with an prediction uncertainty channel.”
- Range expansion of Ambrosia artemisiifolia in Europe is promoted by climate change. (2013, methodology): “To forecast the potential geographical distribution of A. artemisiifolia in Europe under future climate conditions we used the IPCC scenarios A1, A2 and B1 for 2080 [24] and the three Global Circulation Models (GCMs, see Table 2 in Supplementary Appendix 3, available online at http://dx .doi.org/10.”
- Arctic-North Atlantic Interactions and Multidecadal Variability of the Meridional Overturning Circulation (2005, methodology): “Our results are consistent with the results of observations (e.g., Ganachaud and Wunsch 2000) and other state-of-the-art CGCMs [e.g., Hadley Centre, Gordon et al. 2000; National Center for Atmospheric Research (NCAR), Gent et al. 2002].”
- Earth system sensitivity inferred from Pliocene modelling and data (2010, background): “The control climate of the GCM has previously been extensively assesse”
- A Mechanism for the High Rate of Sea Ice Thinning in the Arctic Ocean (2004, background): “The sea ice in HadCM3 (Gordon et al. 2000) has an intermediate level of complexity among the three models, with ice motion derived solely from ocean currents and thermodynamics based on the Semtner (1976) three-layer method.”
- Vulnerability of national economies to the impacts of climate change on fisheries (2009, methodology): “…air temperature change at 1.5 m above the surface for 2050 was derived by rescaling the 2080 values from the TYN CY 3.0 dataset (Mitchell et al. 2004), which provides countryspecific projections based on gridded values from the UK Hadley Centre climate model (HadCM3) outputs (Gordon et al. 2000).”
- Climate change and global water resources: SRES emissions and socio-economic scenarios (2004, methodology): “The effect of this multi-decadal variability on runoff was assessed by constructing eight scenarios for change in 30-year mean precipitation and temperature from a long ‘‘unforced’’ HadCM3 run (Gordon et al., 2000) in which the concentration of greenhouse gases was assumed constant.”
- Modelling the oxygen isotope distribution of ancient seawater using a coupled ocean–atmosphere GCM: Implications for reconstructing early Eocene climate (2010, background): “, 2009) of the Hadley Centre atmosphere–ocean GCM, HadCM3 (Gordon et al., 2000), to estimate δOw for the Holocene and early Eocene climate (50–54.”
- Modelling exploration of the future of European beech (Fagus sylvatica L.) under climate change—Range, abundance, genetic diversity and adaptive response (2010, methodology): “We used twoAOGCMs, HadCM3 (Gordon et al., 2000) and NCAR-PCM (Washington et al., 2000), and two greenhouse gas emission scenarios (B1 and A2).”
- How difficult is it to recover from dangerous levels of global warming? (2009, methodology): “The HadCM3LC model (Cox et al 2000) couples a version of the Hadley ocean–atmosphere GCM (HadCM3) (Gordon et al 2000, Pope et al 2000) to an ocean carbon cycle model (Palmer and Totterdell 2001) and a terrestrial carbon cycle model (Cox 2001).”
- Modeling Impacts of Climate Change on Giant Panda Habitat (2012, methodology): “We included two general climate models; one described by the Canadian Centre for Climate Modeling and Analysis Coupled Model, version 3 (CGCM3) [32] and one from the Hadley Center for Climate Modeling Coupled Model, version 3 (HadCM3) [33].”
- Earth's energy imbalance and implications (2011, methodology): “Data provided by J. Gregory (personal communication, 2008) for a 1200-yr run of the UK Hadley Centre model (Gordon et al., 2000) imply a still longer response time for that model, which is consistent with comparably efficient mixing of heat into the deep ocean, given the greater climate sensitivity…”
- Climate predictability on interannual to decadal time scales: the initial value problem (2002, methodology): “For the AR(1) fits to the model we use the control simulation of HadCM3 (Gordon et al. 2000; Collins et al. 2001) which has a stable surface climate and hence has no global secular trends.”
- A signature of persistent natural thermohaline circulation cycles in observed climate (2005, methodology): “Here we look for the AMO and THC links in a 1400 year simulation with the HadCM3 climate model [Gordon et al., 2000], isolating internal variability by using constant levels of external climate forcing.”