Tuesday, December 15, 2009

Short and simple arguments for why climate can be predicted

Sometimes, I encounter arguments suggesting that since we cannot predict the weather beyond a couple of weeks, then it must be impossible to predict the climate in 100 years. Such statements tend to present themselves as a kind of revelation, often in social settings and parties after I have revealed for some of the guests that I’m a climatologist (if I say I work for the Meteorological Institute, I almost always get the question “so, what’s the weather going to be like tomorrow?”). Such occasions also tend to be times when I’m not too inclined to indulge in deep scientific or technical explanations. Or when talking to a journalist who wants an easy answer. In those cases I try to provide a short and simple, but convincing, explanation that is easy for most people to understand why climate can be predicted despite the chaotic nature of the weather (a more theoretical discussion is provided in the earlier post Chaos and Climate). One approach is to try to relate the topic to something with which they are familiar, such as to point to empirical observations which most accept (I suppose with hindsight it could be similar to the researchers in the early 20th century trying to convince that nuclear reactions were possible – just look at the Sun, and there is the proof! Or before that, the debate about whether atoms were real or not – just look at the blue sky, and you look at the proof…). I like to emphasised the words ‘weather‘ and ‘climate‘ above, because they mean different things.

Fig. 1: Temperature variation at 10E/60N from ERA40

It is true that we cannot predict the weather indefinetely (or even beyond a couple of weeks), because of the chaotic nature and infinitesimally small uncertainties in the state as we know to day, will affect how the weather evolves in a few weeks (the ‘chaos effect’). But, still I say that I know with certainty that there is a very high probability that the temperature in 6 months will be lower than now – when winter has arrived (it’s summer on the northern hemisphere at the present). In fact, the seasonal variation in temperature and rainfall (wet and dry seasons in the tropics) tends to be highly predictable: the winters at high latitudes are cold and summers mild (if anyone doubts, read on here); the southeast Asian Monsoon usually starts over India in the first days of June. I don’t usually bring with me maps and figures to social events, but it would be nice to show a picture such as the one in Fig. 1 to illustrate. If the person is not convinced, I may continue with other arguments for why the climate is predictable: take the latitude for instance – the poles are cold and tropics warm. Furthermore, maritime climates at higher latitudes with wet and mild (small day-to-day or season-to-season temperature variations) are distinct to continental climates far away from the sea (dry with great temperature variations). It is well-established that high-altitude places tend to have lower temperatures and greater temperature variations. Most hikers and mountaineers have experienced that. These are local climatic properties that we can predict if we know the geography, even if we cannot predict the weather on an exact day far in the future. To convince further, I may add that empirical evidence suggesting that (local) climate is not unpredictable, but rather systematically influenced by external factors (boundary conditions) is that Northern Europe enjoys a mild climate: Oslo is roughly on the same latitude as the southern tip of Greenland. There is a reason for that – Oslo has a considerably warmer climate because of the effects of oceanic heat transport/capacity and prevailing winds. I also remind that people really have known for centuries that there are systematic factors influencing the local climate, it’s just that this fact sometimes gets forgotten by those who claim that we cannot predict climate. Isn’t it silly? I may ask if there is any reason to think that the predictability stops at the seasonal and geographical variations.

Fig. 2: Mean 2m temperature from ERA40

I may continue with in a hand-wavy manner: In a similar fashion as seasonal and geographical effects, changes in Earth’s orbit around the Sun alters the planetary climate by modifying the amount of energy received from our star (but because of terrestrial response, the atmospheric composition is modified as well, enhancing the effect even further), and changes in the atmospheric composition affects the climate because grenhouse gases absorb heat that otherwise would escape into space – greenhouse gases are transparent to sunlight, but opaque to infrared light due to their molecular properties and their ability to absorb energy (if I say it’s quantum physics, people tend to understand it’s getting a bit technical). I stress that the greenhouse effect is also beyond doubt – without it, the energy balance between total energy Earth intercepts from the Sun and the energy lost through black body radiation implies that Earth’s surface on average would be about 30K cooler than we know it. Volcanoes also affect our climate, and we have theories explaining why. Furthermore, looking to other planets, the observation that Venus has higher surface temperature than Mercury, despite being further away from the Sun, can only be explained as a result of different absorbing properties of their respective atmospheres (a strong greenhouse effect at Venus).

So, my question is, do you think people get the message that I try to convey this way? Is it too simple or too complicated? Somebody who knows of every-day examples demonstrating the central principles? Any suggestions on how to explain for laypersons not connected to the Internet?

10 comments:

  1. pane ikka alati viide allikale ja autorile ka, ma ei orienteeru nii hästi netiklimatoloogias, et suudaksin seisukohast olenevalt autorit järeldada, kuigi, nagu aru saan, siis enamus on realclimate lehelt

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  2. paremat lehte kui realclimate minu jaoks pole. seal käib arutelu teadlaste vahel ja muu sitt modereeritakse välja.

    tegijad siin:
    http://www.realclimate.org/index.php/archives/category/extras/contributor-bios/

    top science blogs:
    http://www.wikio.com/blogs/top/sciences

    ma olen loobunud läbi google otsingumootori müttamisest, proovin keskenduda tuumale. muidu tõmbab propaganda sind kohe rentslisse.

    ohuks vaid globaalne konspiratsioon, teadlaste pettus, pimestav rühmavaim ja muud vandenõud. kuid minu jaoks siiski turvamisem kui teised paigad.

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  3. sellist asja nagu "google search: skeptic global warming" ma ei tee :)

    ehk siis esimene otsingutulemus:
    http://www.skepticsglobalwarming.com/

    oo jumal mis seal toimub :)

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  4. mul pole realclimate vastu midagi, aga pane viide kui postitad, siis saab näiteks kommentaare ka lugeda

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  5. näiteks selline kommentaar realclimate lehelt on päris hea:

    Hi,
    when I am discussing with climate skeptics, they often refer to the third report of the IPCC (page 774): “In climate research and modelling, we should recognise that we are dealing with a coupled non-linear chaotic system, and therefore that the long-term prediction of future climate states is not possible.”
    I don’t now what to answer. Perhaps you can help me and explain how the quote ist correctly to be understand?

    Greets
    Samson

    [Response: There are at least two aspects to this question. First, how well do we know the forcing into the future? We can't do a very good job at estimating the future trajectory of technology for instance, or economic development, and so regardless of how well we understand climate, our ability to predict exactly what will happen is limited. Secondly, we don't have full information about the current conditions, and so, like for weather forecasts, if there are aspects of climate change that are chaotic, we can't predict those over the long term. However, it is worth pointing out that the statement does not imply that we can't know anything about the climate system in the future. We know that if there is a big volcano, the climate will cool - and many aspects of the resulting changes will have been predictable. The same is true for increasing GHGs - the climate will warm. Models can't tell you exactly what will happen where, but there is a lot they can say. - gavin]

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  6. veel üks huvitav kommentaar:

    This has bothered me in the past. You say that the hindcasts are true hindcasts, and that parameters are not fit to match the historical trends. That’s all very well and good.

    So can you help me understand what is happening here?

    http://en.wikipedia.org/wiki/Image:Global_Warming_Predictions.png

    All the GCMS do a decent job of the hindcast, yet diverge in the forecast. They’re all using the same scenario here, so the forcings ought to be the same.

    If the GCMs have slightly different physics, why would that show in the future, but not the past?

    [Response: One issue is the inertia in the oceans which means that the 20th century changes are not in equilibrium. Therefore, the changes so far aren't impacted by the full equilibrium sensitivity. Transient sensitivities are much closer across the models than the equilibrium value. But as the signal gets larger, the models will diverge a little more. - gavin]

    (tunnistan, et response'ist ei saa aru)

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  7. seda küll, kommentaarid on parimad. kõik tegijad käivad seal rinda pistmas ja toimub päris huvitav andmine. selle käigus saab palju uut ja huvitavat teada.

    ma loen neid realclimate kommentaare nagu seiklusjutte suure põnevusega.

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  8. ma tunnistan endale kogu aeg et "ei saa aru", see on loomulik.

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  9. aga mõne lollima võiks juba tänase päeva seisuga surnuks rääkida ja ilgelt tähtsa mulje jätta. kuigi tegelikult ei saa tõesti aru :)

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  10. Gavin, how the climatic variability is accounted for in the models?
    Is it conceivable that the best actual climate models, only with the basic laws of fluid thermodynamics,could reproduce a climate variability such ENSO, AMO, NAO,…, or is there the need of parametrization?
    I think you agree that the ocean is a huge tank of coldness.
    Its mean temperature is 3.5°C and should be sufficient to neutralize several centuries of anthropogenic greenhouse effect.
    Surely it’s difficult for this coldness to shift towards the surface but even only a very small part can have some surface effects.
    It seems, for example, that there are some surprising effects in the Southern ocean (strengthening westerlies and midle latitude decreasing SST).
    So isn’t the ocean one of the biggest problem of actual models?
    (I apologize for my english)

    [Response: The internal variability is an emergent property of the whole package. For instance, all models show variability in the ocean temperatures in the tropical Pacific - but the magnitude and spectra of that variability depends a lot on the resolution, and how mixing is handled in the upper ocean etc. The oceans are a difficult part of the system for a number of reasons (mainly that the scale at which important things happen (bottom currents, eddies, western boundary currents) is quite small relative to similar processes in the atmosphere. However, the ocean is very strongly stratified, and the interaction with the bulk of the deep cold water is very slow - it is generally the upper ocean that determines the time scale for the transient warming we might expect. - gavin]

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