Simulation of Present-Day and Twenty-First-Century Energy Budgets of the Southern Oceans
By Kevin E. Trenberth, John T. Fasullo. 2010
421 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/3d9487ce6ea9e10371b233ae10f8f6af86a4443d
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
- Stephen A. Klein
- M. Zelinka
- M. Webb
- D. Hartmann
- Robert Pincus
- Andrew Gettelman
- K. Williams
- J. Gregory
In Global and Planetary Change
- Stephen A. Klein
- M. Zelinka
- M. Webb
- D. Hartmann
- Robert Pincus
- Andrew Gettelman
- K. Williams
- J. Gregory
Citations in the corpus
- Observations of Clouds, Aerosols, Precipitation, and Surface Radiation over the Southern Ocean: An Overview of CAPRICORN, MARCUS, MICRE, and SOCRATES (2020, background): “…aerosol, cloud coverage and cloud phase over the SO, with implications for anthropogenic aerosol impacts and cloud feedbacks on climate (e.g., Trenberth and Fasullo 2010; Tan et al. 2016), two key uncertainties in interpreting the historical climate record and projecting future climate…”
- Exposing Global Cloud Biases in the Community Atmosphere Model (CAM) Using Satellite Observations and Their Corresponding Instrument Simulators (2012, background): “The shortwave cooling effect of clouds is too strong in the tropics and too weak in the midlatitudes, biases that are common in climate models (Trenberth and Fasullo 2010).”
- The global energy balance from a surface perspective (2013, background): “85 Wm-2 for the global mean latent heat flux are considered as upper limit of current uncertainties in precipitation retrievals by Trenberth and Fasullo (2012), and at the same time are within the uncertainty range given by Stephens et al. (2012b).”
- Emergent Constraints for Cloud Feedbacks (2015, neutral): “Trenberth and Fasullo [41] Net radiation error for the Southern Hemisphere Equilibrium climate sensitivity Credible physical explanation”
- A global survey of cloud overlap based on CALIPSO and CloudSat measurements (2015, background): “This finding partially explains why the climate model errors in the TOA fluxes over the Southern Ocean are the largest (Trenberth and Fasullo, 2010).”
- The ocean’s role in setting the mean position of the Inter-Tropical Convergence Zone (2013, background): “However, clouds in the southern ocean are very reflective in the shortwave (Trenberth and Fasullo 2010) and the larger cloud reflection in the SH relative to the NH extratropics as compared to the NH extratropics (blue lines) overwhelms the contrast in the surface contribution to planetary albedo.”
- Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part II: Attribution to Changes in Cloud Amount, Altitude, and Optical Depth (2012, background): “Consistent with this, Tselioudis et al. (1992), Tselioudis and Rossow 306 (1994), and Chang and Coakley (2007) have shown using satellite observations that low307 and midlatitude boundary layer clouds experience a decrease in optical depth as temperature 308 increases.”
- On the Representation of High-Latitude Boundary Layer Mixed-Phase Cloud in the ECMWF Global Model (2014, background): “(Trenberth and Fasullo 2010; Bodas-Salcedo et al. 2012), 3442 MONTHLY WEATHER REV IEW VOLUME 142”
- Future climate change in the Southern Hemisphere: Competing effects of ozone and greenhouse gases (2011, result): “[16] These results complement recent findings that biases in the climatological SH jet position [Kidston and Gerber, 2010] and energy budget [ Trenberth and Fasullo, 2010 ] are related to the magnitude of future shifts in the jet and global temperatures, respectively.”
- Mathematical and physical ideas for climate science (2013, methodology): “There is still not an accurate estimate of such a fundamental quantity for testing the output of climate models, despite the efforts of several authors (Fasullo and Trenberth, 2008; Mayer and Haimberger , 2012; Trenberth and Caron, 2001; Trenberth and Fasullo, 2010; Wunsch, 2005).”
- The Evolution of Climate Sensitivity and Climate Feedbacks in the Community Atmosphere Model (2012, result): “The results are consistent with recent work by Trenberth and Fasullo (2010), who found a relationship between cloudiness in the SH storm track (a canonical bias in models) and model climate sensitivity.”
- Coupling between Arctic feedbacks and changes in poleward energy transport (2011, neutral): “[5] Trenberth and Fasullo [2010] compared the base‐state poleward energy transport from 1990 to 1999 in CMIP3 models with observations.”