A new study (Bender et al.) analysing cloud cover measurements has noted storm tracks and the cloudiness related to them migrating polewards during the last few decades. Additionally, storm tracks seem to have become narrower. Observed changes in cloudiness have an amplifying effect to global warming.
In mid-latitudes of both hemispheres there is a region where large-scale atmospheric wave activity transfers heat and moisture polewards. This causes a band of low-pressure systems, where cloudiness and rainfall is common. These bands are called storm tracks. Storm tracks are an important part of weather system, and they also have an effect on climate by their radiative cooling. They also have an effect on large scale weather patterns (for example on North Atlantic Oscillation and on El Niño).
Based on the simulations of climate models, storm tracks should move towards the Earth's poles when climate warms. However, the expected change is so small that it is still difficult to observe it at this time. Despite numerous studies, it is not clear exactly why the storm tracks move polewards in models. Greenhouse gas warming is probably one factor, but aerosols might also be involved.
A new study seeks to find out if the shifting of storm tracks is already evident in the cloud cover measurements of last few decades. The study used ISCCP (International Satellite Cloud Climatology Project) measurements between 1983 and 2008. During that time, global surface temperature has risen about 0.5°C, mich might be big enough for the detection of storm track shifting. Study also used data from some other sources (ERBE, CERES, and MODIS). Additionally, the situation was simulated with climate models.
There are known errors in ISCCP data; in particular the changes in satellite viewing angle makes the interpretation of the data problematic. It seems that these days every new study using ISCCP data is also a study on satellite viewing angles. Satellite viewing angle changes when a satellite is added to the satellite network, satellite location is changed, or a satellite is removed from the network. A change in the viewing angle affects the amount of measured cloudiness. A proper solution to the problem does not exist yet, but this study makes an effort to go around the problem with couple of different methods.
The easiest method for going around the problem is to leave out the data from those regions which are affected the most. The weakness of this method is that the problem still exists in other regions at least to some extent. In this study, the region of Indian Ocean was left out because it was between the borders of the measuring areas of two satellites and there were no supporting data available from other satellites before 1997.
The effects of satellite network changes can potentially be removed through regression analysis. This method was used on the global cloud data over the oceans. After the correction, the decreasing cloud cover trend in ISCCP data got smaller from 1.5% to 0.4 % per decade. In the storm track areas, the effect of the correction is smaller.
Satellite viewing angle problems are especially bad in thin clouds because they can easily fall out of detection limit after viewing angle change. It might be possible to reduce the problem by concentrating on thick clouds only, but this method has its own problems, and the method doesn't give truthful picture of total cloudiness.
Studied storm track regions show clear cloud maxima which can have over 90% average annual cloud cover. Observations also show a poleward shifting of storm tracks during the last 25 years. Shifting has been stronger on the equator side of storm tracks, which has caused a narrowing of the storm tracks. All studied regions show similar changes in storm tracks. Narrowing of storm tracks is especially strong in the North Atlantic, which may suggest that the region is strongly affected by the satellite viewing angle problem, which also was to be expected beforehand.
Figure 1. Latitudinal shifts of cloudiness in four studied storm track regions.?
In ISCCP data, storm tracks have shifted 0.15 – 0.17 degrees of latitude per decade in other regions except in North Atlantic, where again is anomalously large change (0.6 degrees of latitude per decade).
With storm track shifting there is an associated decrease in cloudiness in storm track areas. Observations show a couple of percent decrease in cloudiness in storm track areas (and again North Atlantic has clearly bigger change). Most of the cloud cover decrease occurs in low clouds. Middle clouds and high clouds have even increased slightly.
The changes in longwave and shortwave radiation (measured in ERBE and CERES projects) correlate with cloudiness sufficiently well, that the effect of clouds to radiative fluxes can be estimated from ISCCP data. In the case of shortwave radiation, clouds change the radiative flux by reflecting the radiation from the Sun back to space. The effect to shortwave radiation can be seen in the data especially in the storm track areas. Clouds affect the radiative flux of the longwave radiation through their greenhouse effect, which also is seen in the data.
Figure 2. Cloud fractions of low, middle, and high clouds in the four storm track regions. Upper left panel red lines represent western NH Pacific.
Total cloudiness has decreased 2-3% in storm track areas. This has caused the reflected solar radiation to decrease, which means that in storm track areas more solar radiation reaches the Earth's surface. This change causes a warming effect (of about 3 watts per square meter). Middle and high clouds have increased by 2-5%. This reduces the outgoing longwave radiation, which means that bigger part of longwave radiation stays on Earth and causes warming (of about 1 - 3 watts per square meter).
The changes in cloudiness cause a warming effect both by longwave and shortwave fluxes (total effect is about 3 to 5 watts per square meter). Therefore it seems that cloud changes in storm track areas have amplified global warming (this is so called positive feedback). However, this result doesn't necessarily reflect the global situation, because possible compensating effects in other areas were not studied. Additionally, ISCCP data problems may contribute to the situation considerably. For example, without thin clouds, even a small negative feedback is possible (total effect in this case is -1 to 2 watts per square meter, so even in this case the most probable value of feedback is positive, even if uncertainty bars allow the possibility of a small negative feedback).
20 climate models were investigated, and seven of them showed poleward storm track shifting with global warming. However, the amount of shifting was considerably smaller than what ISCCP data shows. In the models where storm tracks shifted the most, meaning that they were closest to observations, climate sensitivity was greatest. Models with climate sensitivity less than 3 °C don't even show statistically significant storm track shifting in all storm track areas. This suggests that also model results support positive cloud feedback associated with storm tracks.
Reference: Frida A-M. Bender, V. Ramanathan and George Tselioudis, Changes in extratropical storm track cloudiness 1983–2008: observational support for a poleward shift, Climate Dynamics, DOI: 10.1007/s00382-011-1065-6. [abstract]
Additional information:
- Viewing Angle on ISCCP Problems
- Papers on Hadley Cell expansion
Posted by Ari Jokimäki on Monday, 6 June, 2011
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