Observed changes in top-of-the-atmosphere radiation and upper-ocean heating consistent within uncertainty
By Norman G. Loeb, J. Lyman, Gregory C. Johnson, Richard P. Allan, David R. Doelling, Takmeng Wong, Brian J. Soden, Graeme L. Stephens. 2012
331 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/61ee1c3821732d53b856ca0956cc25a4c2102d4a
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
- Robert Hallberg
- D. Hartmann
- A. Köhl
- S. Griffies
- Gokhan Danabasoglu
- A. Pendergrass
- Tristan L'Ecuyer
- Richard P. Allan
In Global and Planetary Change
- Robert Hallberg
- D. Hartmann
- A. Köhl
- S. Griffies
- A. Pendergrass
- Richard P. Allan
- Anny Cazenave
- Seiji Kato
Citations in the corpus
- The Norwegian Earth System Model, NorESM1-M – Part 1: Description and basic evaluation of the physical climate (2013, neutral): “…(g m−2) 125.3 112.6f Surface sensible heat flux (W m−2) 17.8 19.4h 15.8i 13.2j Surface latent heat flux (W m−2) 81.7 87.9h 84.9k 82.4g 89.1l a CERES2 (Loeb et al., 2005, 2009, 2012);b CERES (Loeb et al., 2005, 2009, 2012),c ERBE (Harrison et al., 1990; Kiehl and Trenberth, 1997),d ISCCP (Rossow…”
- Cloud tuning in a coupled climate model: Impact on 20th century warming (2013, background): “We target a radiation balance within the range of 0.50 ˙ 0.43 Wm–2 for the period 2001–2010 [Loeb et al., 2012].”
- Response of the large‐scale structure of the atmosphere to global warming (2015, background): “…(because its heat capacity is relatively low) so that the OLR will be less than the equilibrium value by an amount equal to the flux into the ocean, and within observational error this is found to be the case with both fluxes being of order 0.5 W m−2 (Loeb et al., 2012; Stephens et al., 2012).”
- Characterizing and understanding radiation budget biases in CMIP3/CMIP5 GCMs, contemporary GCM, and reanalysis (2013, neutral): “6r [Loeb et al., 2009, 2012] provides the constraint.”
- Measuring Global Ocean Heat Content to Estimate the Earth Energy Imbalance (2019, background): “, 2016), and the availability of information for Earth energy/sea level budget constraint evaluations (Loeb et al., 2012; Llovel et al., 2014; Trenberth and Fasullo, 2016; von Schuckmann et al., 2016; Chambers et al., 2017; Dieng et al., 2017).”
- Quantifying Progress Across Different CMIP Phases With the ESMValTool (2020, background): “Common forcing data sets are de fi ned for the CMIP6 historical simulations are largely based on observations and include: land ‐ use changes (Ma et al., 2019), emissions and concentrations of long ‐ lived greenhouse gases (Meinshausen et al., 2017) and of short ‐ lived species (Hoesly et al.,…”
- ERA‐20CM: a twentieth‐century atmospheric model ensemble (2015, background): “As noted by Loeb et al. (2012), Trenberth et al. (2014) and Allan et al. (2014), during such events net solar radiation is slightly larger, while net thermal radiation is slightly lower.”
- The role of cloud phase in Earth's radiation budget (2017, result): “While R05 generally underestimates TOA fluxes compared to CERES, these differences are consistent with anticipated uncertainties in CERES fluxes themselves [Loeb et al., 2012].”
- Physically Consistent Responses of the Global Atmospheric Hydrological Cycle in Models and Observations (2014, background): “Nevertheless, changes in T globally and W over land are thought to be reasonable (Simmons et al. 2010) as are the simulated interannual changes in top of atmosphere net radiation (Loeb et al. 2012) and within the atmosphere as depicted in Fig.”
- JRA-55 based surface dataset for driving ocean–sea-ice models (JRA55-do) (2018, methodology): “Levitus et al. (2012) estimated that the global ocean heat uptake was −0.39Wm 2 for 1955–2010 and Loeb et al. (2012) gave ± −0.50 0.43 W m 2 for 2001–2010.”