Surabi Menon
Physicist Staff Scientist
1 Cyclotron Road, MS90KR109
Berkeley, CA 94720 USA
E-mail: smenon@lbl.gov
Phone: 1-510-486-6752
Fax: 1-510-486-5928
Professional Background
Why study climate change?
Utube link: Watch recent LBNL Summer Lecture on climate change
We primarily work on the NASA GISS general circulation models (GCM) and single column model (SCM). For more details on the model and research being done go to NASA Goddard Institute for Space Studies.
We have also contributed to the recent IPCC 2007 "Nobel Peace Prize" report. For details of research results contributed please read the chapters in the IPCC Working Group I report.
Climate trends for 1960 to 2002 for all forcings (a) and for those without anthropogenic aerosols (b) clearly illustrate the importance of aerosol processes on surface radiation budgets: less sunlight reaches the ground (blues) with anthropogenic aerosols included, and without it the surface heats faster (reds).
Units are in Watts per square meter
Controls on aerosol emissions without controls on greenhouse gases can adversely affect regional climatology. These are important when it comes to policy implementation.
Future projections (Menon et al. 2006b) are of interest mainly to address policy relevant issues as well as to study regions that may be subject to adverse climate impacts.
Improving aerosol-cloud-climate processes in the GISS GCM (NASA)
Climate trends over China for the 1950 to 2000 time period indicate an increased occurrence of droughts to the north and floods to the south during the summer. These have been simulated with the GISS GCM by accounting for a large amount of absorbing aerosol particles (black carbon) that affect the surface and atmospheric heating rates and change the spatial distribution of precipitation (reds indicate increased rain and blues decreased rain in units of mm/day for June-July-August means)
Role of deep convective and mixed-phase stratus cloud systems on climate (DOE)
Sometimes it appears that climate change issues cannot be realistically grasped without attaching signs. Not the positive or negative signs associated with radiative forcing but the $$$$ signs. We need to reduce emissions and there is a cost associated with it. Indicated are some key pointers from the Stern Report. Although these quotes are from the Stern Report, the message is general.
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Climate change could have very serious impacts on growth and development.
There is still time to avoid the worst impacts of climate change, if we take strong action now.
The costs of stabilising the climate are significant but manageable; delay would be dangerous and much more costly.
Action on climate change is required across all countries.
A range of options exists to cut emissions; strong, deliberate policy action is required to motivate their take-up.
Climate change demands an international response, based on a shared understanding of long-term goals and agreement on frameworks for action.
The expected annual cost of achieving emissions reductions, consistent with an emissions trajectory leading to stabilisation at around 500-550ppm CO2e, is likely to be around 1% of GDP by 2050, with a range of +/- 3%.
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Now these estimates of the cost can vary depending on the models used to project them. The reason we need to start thinking of what action we may take becomes more important as time goes by.
Here is a graph from the Stern Report (Chapter 9) that shows costs if fossil-fuel (energy) emissions were cut from 24 GtCO2e/year in 2002 to 18 GtCO2e/year in 2050.
The picture shows the average cost of reducing fossil fuel emissions to 18 GtCO2 in 2050*
*The red lines give uncertainty bounds around the central estimate. These have been calculated using Monte Carlo analysis. For each technology, the full range of possible costs (typically ± 30% for new technologies, ±20% for established ones) is specified. Similarly, future oil prices are specified as probability distributions ranging from $20 to over $80 per barrel, as are gas prices (£2-6/GJ), coal prices and future energy demands (to allow for the uncertain rate of uptake of energy efficiency). This produces a probability distribution that is the basis for the ranges given.
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Costs are likely to rise significantly as mitigation efforts become more ambitious or sudden, suggesting that efforts to reduce emissions rapidly are likely to be very costly.
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Thus, it is imperative that we link climate science results with economic projections to inform policy decisions. This implies the teaming of economists and scientists to integrate their respective disciplines and analyze scenarios associated with changing emissions. With Zili Yang at SUNY Binghamton we are using an economic model (Regional Dynamic Integrated model of Climate and the Economy - RICES) to come up with projections for an integrated assessment of climate change: Co-controls and cost/benefit analysis on mitigation of greenhouse gases and aerosols. This project can directly address policy relevant questions in terms of cost/benefit impacts of mitigating GHGs and aerosol emissions. The effects of particulate emissions on human health is an important area we will focus on. More results will be posted as our work is completed.
For more information on publications or copies, contact
Surabi Menon

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