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Surabi Menon's Picture

Surabi Menon
Physicist Staff Scientist

Lawrence Berkeley National Laboratory
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

Publication list


Research Interests
Global and regional climate change and past/future trends, Economic projections of climate change impacts, Aerosol-cloud-climate interactions, Air Quality and health effects, Climate impact assessment, Paleoclimate

Why study climate change?
Utube link: Watch recent LBNL Summer Lecture on climate change

Research Focus
Current work here at LBNL within the Environmental Energy Technologies Division, with NASA GISS/Columbia University, and other collaborators focuses on understanding climate change over the last few decades, projections of future changes and economic impacts of 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.

LBNL recognition to IPCC contribution 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.

LBNL recognition to IPCC contribution

A main area of focus is the impact of aerosols on climate and the degree to which these aerosol-climate effects counter-balance warming associated with greenhouse gases (GHGs). Some of the reduction in warming over the last 150 years (since the industrial era) have been attributed to aerosol effects and one needs to understand just how much this reduction has been. Why? How else can one predict what happens in the future, especially if measures to control aerosol emissions are taken without regard to controlling greenhouse gases. Thus, we need to know how aerosols impact climate in relation to changes in other atmospheric forcings from both a physical process-level and an economic level.

Current funded projects include:


We investigate past, present and future climates and constrain current climate with satellite retrievals to understand the uncertainties involved when parameterising aerosol-cloud-climate interactions. Our first priority is analyzing climate change over the last 150 years (Menon and Del Genio 2006). A bit hard to constrain if quality observations are not on hand as we found (Menon et al. 2002). Thus, we also examine climate trends over the last 40 years (Nazarenko and Menon 2005) as shown in the figure below; or last 20 years (era of satellite coverage) (Menon et al. 2006a). This helps understand how well we simulate past climate, recent climate and what the future holds.

Capturing recently observed "dimming effects"

Radiation trends 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)

The new GISS GCM will include an aerosol microphysics scheme (with our collaborators at Brookhaven National Laboratory) and an improved physically based coupling of the aerosols to the cloud microphysics scheme. The bulk cloud microphsycis scheme is being replaced with a two-moment scheme. These changes are currently being implemented in the climate model and have already been implemented in the SCM. This positions the model to make effective use of new satellite data, especially those from "A"-train. Ideally, we would like to improve precipitation treatment (a feature that can be quite difficult to simulate) and improve grid resolution (fine grid in the GCM world of 1x1 degree) so that regional climate effects such as droughts over northern China and the floods over Southern China (Menon et al. 2002) can be analysed more realistically. The standard model has done a good job in the past, but improvements -- physically based -- always help.

China climate

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)
China climate

Role of deep convective and mixed-phase stratus cloud systems on climate (DOE)

We (with my post-doctoral research associate Igor Sednev) are also developing parameterisations to represent mixed-phase and deep convective cloud systems using data from the DOE ARM field campaigns from the North Slope of Alaska and the TWP-ICE campaign (DOE). This should allow us to study the impact of the environment on all cloud systems.
We are especially interested in impacts on the Arctic climate.

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. Carboncost

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


Created: 22nd March 2004
Last Modified: 1st Dec 2007
Owner: smenon@lbl.gov


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