Must be Durban season. From Princeton University here’s a highly charged press release lapped up by some MSM professional worriers today that uses words like “erratic and extreme” to describe that it’s getting rainier in some places, a whole third of the planet in total, except in South America, where it isn’t, and over Russia and the Indian Ocean, where the data was “…voided due to a lack of consistent data.”.

And despite the title of the press release, here’s this little speculative nugget from the lead author:

“We have not yet looked for direct ties between weather variability and increased carbon dioxide concentration in the atmosphere, but I would not be surprised if they are connected in some way,” Medvigy said.

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Erratic, extreme day-to-day weather puts climate change in new light

The first climate study to focus on variations in daily weather conditions has found that day-to-day weather has grown increasingly erratic and extreme, with significant fluctuations in sunshine and rainfall affecting more than a third of the planet.

Princeton University researchers recently reported in the Journal of Climate that extremely sunny or cloudy days are more common than in the early 1980s, and that swings from thunderstorms to dry days rose considerably since the late 1990s. These swings could have consequences for ecosystem stability and the control of pests and diseases, as well as for industries such as agriculture and solar-energy production, all of which are vulnerable to inconsistent and extreme weather, the researchers noted.

The day-to-day variations also could affect what scientists could expect to see as the Earth’s climate changes, according to the researchers and other scientists familiar with the work. Constant fluctuations in severe conditions could alter how the atmosphere distributes heat and rainfall, as well as inhibit the ability of plants to remove carbon dioxide from the atmosphere, possibly leading to higher levels of the greenhouse gas than currently accounted for.

Existing climate-change models have historically been evaluated against the average weather per month, an approach that hides variability, explained lead author David Medvigy, an assistant professor in the Department of Geosciences at Princeton. To conduct their analysis, he and co-author Claudie Beaulieu, a postdoctoral research fellow in Princeton’s Program in Atmospheric and Oceanic Sciences, used a recently developed computer program that has allowed climatologists to examine weather data on a daily level for the first time, Medvigy said.

“Monthly averages reflect a misty world that is a little rainy and cloudy every day. That is very different from the weather of our actual world, where some days are very sunny and dry,” Medvigy said.

“Our work adds to what we know about climate change in the real world and places the whole problem of climate change in a new light,” he said. “Nobody has looked for these daily changes on a global scale. We usually think of climate change as an increase in mean global temperature and potentially more extreme conditions — there’s practically no discussion of day-to-day variability.”

The Princeton findings stress that analysis of erratic daily conditions such as frequent thunderstorms may in fact be crucial to truly understanding the factors shaping the climate and affecting the atmosphere, said William Rossow, a professor of earth system science and environmental engineering at the City College of New York.

“It’s important to know what the daily extremes might do because we might care about that sooner,” said Rossow, who also has studied weather variability. He had no role in the Princeton research but is familiar with it.

Rossow said existing climate-change models show light rain more frequently than they should and don’t show extreme precipitation. “If it rains a little bit every day, the atmosphere may respond differently than if there’s a really big rainstorm once every week. One of the things you find about rainstorms is that the really extreme ones are at a scale the atmosphere responds to,” he said.

Although climate-change models predict future changes in weather as the planet warms, those calculations are hindered by a lack of representation of day-to-day patterns, Rossow said.

“If you don’t know what role variability is playing now, you’re not in a very strong position for making remarks about how it might change in the future,” he said. “We’re at a stage where we had better take a look at what this research is pointing out.”

Medvigy and Beaulieu determined sunshine variation by analyzing fluctuations in solar radiation captured by the International Satellite Cloud Climatology Project from 1984 to 2007. To gauge precipitation, the researchers used daily rainfall data from the Global Precipitation Climatology Project spanning 1997 to 2007.

Medvigy and Beaulieu found that during those respective periods, extremes in sunshine and rainfall became more common on a day-to-day basis. In hypothetical terms, Medvigy said, these findings would mean that a region that experienced the greatest increase in sunshine variability might have had partly cloudy conditions every day in 1984, but by 2007 the days would have been either sunny or heavily cloudy with no in-between. For rainfall, the uptick in variation he and Beaulieu observed could be thought of as an area experiencing a light mist every day in 1997, but within ten years the days came to increasingly fluctuate between dryness and downpour.

The researchers observed at least some increase in variability for 35 percent of the world during the time periods analyzed. Regions such as equatorial Africa and Asia experienced the greatest increase in the frequency of extreme conditions, with erratic shifts in weather occurring throughout the year. In more temperate regions such as the United States, day-to-day variability increased to a lesser degree and typically only seasonally. In the northeastern United States, for instance, sudden jumps from sunny to bleak days became more common during the winter from 1984 to 2007.

In the 23 years that sunshine variability rose for tropical Africa and Asia, those areas also showed a greater occurrence of towering thunderstorm clouds known as convective clouds, Medvigy said. Tropical areas that experienced more and more unbalanced levels of sunshine and rainfall witnessed an in-kind jump in convective cloud cover. Although the relationship between these clouds and weather variations needs more study, Medvigy said, the findings could indicate that the sunnier days accelerate the rate at which water evaporates then condenses in the atmosphere to form rain, thus producing heavy rain more often.

Storms have lasting effect on daily weather patterns

Although the most extreme weather variations in the study were observed in the tropics, spurts of extreme weather are global in reach, Rossow said. The atmosphere, he said, is a fluid, and when severe weather such as a convective-cloud thunderstorm “punches” it, the disturbance spreads around the world. Weather that increasingly leaps from one extreme condition to another in short periods of time, as the Princeton research suggests, affects the equilibrium of heat and rain worldwide, he said.

“Storms are violent and significant events — while they are individually localized, their disturbance radiates,” Rossow said.

“Wherever it’s raining heavily, especially, or variably is where the atmosphere is being punched. As soon as it is punched somewhere in the tropics it starts waves that go all the way around the planet,” he said. “So we can see waves coming off the west Pacific convection activity and going all the way around the planet in the tropical band. The atmosphere also has the job of moving heat from the equator to the poles, and storms are the source of heat to the atmosphere, so if a storm’s location or its timing or its seasonality is altered, that’s going to change how the circulation responds.”

These sweeping atmospheric changes can interact with local conditions such as temperature and topography to skew regular weather patterns, Rossow said.

“Signals end up going over the whole globe, and whether they’re important in a particular place or not depends on what else is happening,” he said. “But you can think of storms as being the disturbances in an otherwise smooth flow. That’s why this is a climate issue even though we’re talking about daily variability in specific locations.”

The impact of these fluctuations on natural and manmade systems could be as substantial as the fallout predicted from rises in the Earth’s average temperature, Medvigy said. Inconsistent sunshine could impair the effectiveness of solar-energy production and — with fluctuating rainfall also included — harm agriculture, he said. Wetter, hotter conditions also breed disease and parasites such as mosquitoes, particularly in tropical areas, he said.

On a larger scale, wild shifts in day-to-day conditions would diminish the ability of trees and plants to remove carbon from the atmosphere, Medvigy said. In 2010, he and Harvard University researchers reported in the journal the Proceedings of the National Academy of Sciences that erratic rain and sunlight impair photosynthesis. That study concluded that this effect upsets the structure of ecosystems, as certain plants and trees — particularly broad-leafed trees more than conifers — adapt better than others.

In the context of the current study, Medvigy said, the impact of variability on photosynthesis could mean that more carbon will remain in the atmosphere than climate models currently anticipate, considering that the models factor in normal plant-based carbon absorption. Moreover, if the meteorological tumult he and Beaulieu observed is caused by greenhouse gases, these fluctuations could become self-perpetuating by increasingly trapping the gases that agitated weather patterns in the first place.

“We have not yet looked for direct ties between weather variability and increased carbon dioxide concentration in the atmosphere, but I would not be surprised if they are connected in some way,” Medvigy said.

“Increases in variability diminish the efficiency with which plants and trees remove carbon dioxide from the air,” he said. “All of a sudden, the land and the atmosphere are no longer in balance, and plants cannot absorb levels of carbon dioxide proportional to the concentrations in the environment. That will affect everybody.”

###

The study was published online Oct. 14 by the Journal of Climate, and was funded by grants from the Princeton Carbon Mitigation Initiative and the Fonds Québécois de la Recherche sur la Nature et les Technologies.

Contact: Morgan Kelly

mgnkelly@princeton.edu

609-258-5729

Princeton University

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But to read the abstract at AMS JoC, it seems like an entirely different paper than the press release headline:

Trends in daily solar radiation and precipitation coefficients of variation since 1984

David Medvigya,b and Claudie Beaulieub a Department of Geosciences b Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ

Abstract This study investigates the possibility of changes in daily-scale solar radiation and precipitation variability. Coefficients of variation (CV) were computed for the daily downward surface solar radiation product from the International Satellite Cloud Climatology Project and the daily precipitation product from the Global Precipitation Climatology Project. Regression analysis was used to identify trends in CV. Statistically significant changes in solar radiation variability were found for 35% of the globe, and particularly large increases were found for tropical Africa and the Maritime Continent. These increases in solar radiation variability were correlated with increases in precipitation variability and increases in deep convective cloud amount. The changes in high-frequency climate variability identified here have consequences for any process depending nonlinearly on climate, including solar energy production and terrestrial ecosystem photosynthesis. In order to assess these consequences, additional work is needed to understand how high-frequency climate variability will change in the coming decades. Keywords:Climate change,climate variability,ISCCP,solar radiation,coefficient of variation Journal of Climate 2011 ; e-View doi: 10.1175/2011JCLI4115.1 Corresponding author: David Medvigy, Princeton University, Department of Geosciences, 418B – Guyot Hall, Princeton, NJ 08544, USA, Phone: 1-609-258-9017, Email: dmedvigy@princeton.edu ============================================================== And when you read the conclusion of the paper below, all that hype about weather variability in the press release seems to melt away. It also seems South America isn’t being cooperative: Unlike other tropical land areas, tropical South America generally experienced decreases in deep convective cloud fraction (Fig. 8a). We found that these decreases were linked to a sudden change in deep convective cloud amount that occurred in the Amazon around 1995 (Fig. 8b). We do not know of any artifacts in the ISCCP dataset that could have led to this persistent change. Conclusions We conclude that there have been detectable changes in high-frequency solar radiation and precipitation variability over the past few decades. Changes in solar radiation CV were large and positive for tropical Africa and the Maritime Continent (Fig. 3). Interestingly, correspondingly large changes in tropical South America mainly occurred only during December-January-February (Fig. 4). These continental locations where we detected changes do not overlap with the mainly oceanic regions where trend detection is sensitive to long-term changes in satellite geometry (Evan et al. 2007). Although we also detected negative trends in solar radiation CV at high latitudes (Fig. 3), these high latitude trends should be regarded with caution because sampling errors and cloud detection errors are much larger there than at lower latitudes. Solar radiation CV was correlated with precipitation CV and deep convective cloud amount throughout much of the tropics. In particular, the Maritime Continent and tropical Africa had significant increases in all three quantities. Links between convective activity over continents and temperature have already been suggested (Del Genio et al. 2007). It is notable that changes in deep convective cloud amount (and solar radiation CV) were much lower over tropical oceans than tropical land. Because marine tropical lapse rates are expected to be nearly moist adiabatic under climate change (Held and Soden 2006), we would not necessarily expect surface warming to cause increases in deep convective cloud amount. The possibility of a causal relationship between deep convective cloud amount and solar radiation CV and precipitation CV requires further study. We expect that increases solar radiation CV will decrease the productivity of terrestrial ecosystems (Medvigy et al. 2010). Photosynthesis increases with insolation, up to a critical point, and then the response saturates. An increase in the number of low insolation days will therefore reduce photosynthesis, while an increase in the number of high insolation days will have little effect. Quantifying the future capacity of the terrestrial biosphere to sequester carbon should take into account changes in high-frequency variability. Furthermore, increases in solar radiation CV can make solar energy conversion systems less efficient (Ianetz et al. 2000) and impact the thermal properties of buildings (Matiasovsky 1996). Finally, increases deep convective cloud amount may result in increases in diffuse radiation. While this can have a positive effect on terrestrial ecosystems (Gu et al. 2003), it can also make it more difficult to effectively orient solar cells. There are several key aspects of high-frequency variability that require further investigation. First, the physical mechanisms that ultimately control the degree of high-frequency variability require further investigation. Climate models can also be used to understand current and potential future changes, but this is challenging because high-frequency variances are seldom reported in model output, and thus are rarely validated. In addition, the higher-order statistics of solar radiation and precipitation are likely to be sensitive to some of the most uncertain model parameterizations, including those for clouds. Another area requiring further investigation is the analysis of CV trends in other climate variables, including temperature (Vinnikov et al. 2002). Finally, at least in the case of precipitation, variances can be sensitive to extreme event frequency and intensity (Goswami et al. 2006). Analysis of this connection would be greatly aided by additional weather station data from tropical land areas. Given the large number of processes that are nonlinearly sensitive to climate, improving our understanding of current and future high-frequency variability should be a high-priority area of research. ============================================================== The last part looks like a plea for more money, and according to the web page of the lead author, Medvigy, high frequency climate variability is his pet interest: Medvigy is particularly interested in high-frequency climate variability and its implications for terrestrial ecosystems. Strategies for adaptation to climate change hinge on the expected changes in the distribution functions of climate variables. Scientist John Ray in my mailing list summed it up pretty well with this comment: The first thing to note here is that we are NOT dealing with a global phenomenon. Changes in cloud cover were observed for only one third of the globe. We are looking at local effects. And what did changes in cloud cover affect? Hold on to your hat for the amazing news: RAIN! Maybe Princeton and the University of Maryland people should get together and compare notes over lunch: Linked: aerosol pollutants and rainfall patterns Increases in air pollution and other particulate matter in the atmosphere can strongly affect cloud development in ways that reduce precipitation in dry regions or seasons, while increasing rain, snowfall and the intensity of severe storms in wet regions or seasons, says a new study by a University of Maryland-led team of researchers.

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