Scientists Observe High-Level Moisture With Global Implications
Hard-to-detect clouds and water vapor, hidden until now from most atmospheric sensors, could be helping to shape global climate. An instrument package developed by the National Center for Atmospheric Research (NCAR) has detected layers of moisture, indicative of high-level cirrus clouds, that were missed by standard weather balloons and other instruments.
The findings were presented by NCAR scientist Junhong Wang on Tuesday, February 11, in Long Beach, California, at the annual meeting of the American Meteorological Society (AMS).
The undetected moisture and clouds between about 5 and 9 miles high (8-14 kilometers) probably have little effect on daily weather forecasts, but their omission may be corrupting our view of long-term climate. On average, cirrus clouds tend to warm the planet, as they allow sunlight to enter the atmosphere while trapping radiation emitted from the ground.
"Even small amounts of water vapor and cirrus clouds at these heights are extremely important for climate, as they strongly affect Earth's radiation budget," says Richard Anthes, president of the University Corporation for Atmospheric Research, which operates NCAR.
Anthes notes that radiosonde data are often used in computer models to predict the weather, and that the resulting weather analyses are then used for analyzing climate, including the calibration of models that simulate previous and future climates.
"It is possible that decades of climate records have underestimated the amount of cirrus clouds in the global atmosphere," says Anthes.
Wang's study analyzes humidity data collected from the lowest few miles of the atmosphere by radiosondes (weather balloons). Over 1,500 radiosondes are launched each day around the world, forming the backbone of the planet's weather observing system.
Wang and colleagues compared readings from the two inexpensive humidity sensors commonly used on radiosondes with data from Snow White, a high-quality sensor developed by the Swiss firm Meteolabor AG. Snow White is part of a reference-radiosonde package developed at NCAR and deployed in the International H20 Project (IHOP2002), a collaborative study led by NCAR last spring.
In the cold air from about 26,000 to 42,000 feet high, the team found that standard sensors nearly always showed relative humidities ranging from about 10% to 30%. In contrast, more than half of the Snow White deployments showed areas of moisture at these altitudes with relative humidities from 90% to 100%--a strong sign of clouds.
In one of these cases, a NASA ground-based lidar (laser-based radar) taking part in IHOP2002 analyzed air near the track of a Snow White deployment. The lidar confirmed that high clouds were actually present.
How do these clouds escape detection? Many of them are "subvisible cirrus," so faint they can't be seen by the naked eye. "Both ground- based observers and space-based satellites have trouble distinguishing these clouds," according to David Carlson, head of the NCAR Atmospheric Technology Division.
Wang and colleagues hope that their reference radiosonde system, which includes Snow White, will help improve the quality of radiosondes used for day-to-day observing. It may also help scientists correct the data from years past. "If developed and deployed soon," says Wang, "a reference radiosonde could help repair and improve data records over time and space."
NCAR scientist Kevin Trenberth, an expert on global climate, says better observations are critical, especially in the cold, high reaches more than five miles above ground. "Essentially the current radiosondes are not useful for measuring humidity at temperatures below about -4 degree F," says Trenberth. "We need a climate observing system that does a whole lot better."
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Duke Engineers Refining Global Climate Model
Durham - Sep 19, 2002
Frustrated by the limitations of present numerical models that simulate how Earth's climate will be altered by factors such as pollution and landscape modification, Duke University engineers are creating a new model incorporating previously-missing regional and local processes.
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