Reconciling warming trends
By Gavin A. Schmidt, D. Shindell, K. Tsigaridis. Nature Geoscience, 2014
257 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/ed663926969e54d562f172fb2be42302f585918c
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
In Global and Planetary Change
Citations in the corpus
- The extreme El Niño of 2015–2016 and the end of global warming hiatus (2017, methodology): “Even though a number of physical mechanisms were proposed to explain the hiatus, including but not limited to eastern Pacific cooling, Walker Cell strengthening, enhanced ocean heat uptake, and changes in stratospheric water vapor and aerosols, its exact causes have been hotly debated [e.g., Lyman e”
- Robust comparison of climate models with observations using blended land air and ocean sea surface temperatures (2015, background): “The comparison is complicated by the need to accurately simulate changes in atmospheric composition and solar radiation, as well as accounting for the unforced variability of the climate system [Schmidt et al., 2014].”
- Seepage: Climate change denial and its effect on the scientific community (2015, background): “We focus on one suggestive case and argue that it has been to the public’s detriment because of the reinforcement and amplification of the prevailing tendency of scientists towards reticence and erring on the side of least drama.”
- Total volcanic stratospheric aerosol optical depths and implications for global climate change (2014, background): “Clearly, it is desirable to obtain a more reliable quantification of the contribution of this and other forcings (such as changes in solar activity) to the hiatus [Schmidt et al., 2014] and to reduce uncertainties in observational estimates of the decadal rate of change of global mean temperature [C”
- CMIP5 historical simulations (1850–2012) with GISS ModelE2 (2014, methodology): “While the models exhibit interannual variability in sea surface temperature in the equatorial East Pacific that resembles El Ni~no [Schmidt et al., 2014a], these events are primarily unforced and thus temporally uncorrelated with observed events.”
- Evaluating process-based integrated assessment models of climate change mitigation (2017, background): “The climate model community's recent experience in investigating and explaining the warming hiatus also shows the usefulness of open debate about causes of divergence between near-term observations and ex ante projections (73).”