New Warning System Enables Prediction of Extreme Rainfall Events in the Andes
Hello
reader!
It
follows an article published day (10/01) in the english website of the Agência
FAPESP noting that New Warning System enables prediction of extreme rainfall
events in the Andes.
Duda
Falcão
NEWS
New Warning
System Enables Prediction
of Extreme Rainfall Events in the Andes
By José
Tadeu Arantes
December
10, 2014
(Photo: Bodo Bookhagen)
Flooding
caused by rains in the Andes region.
|
Agência FAPESP – Torrential
rains accompanied by floods, mudslides and fatalities have occurred in the
Andean region. These extreme events will tend to increase in magnitude
and frequency as a result of global climate change.
Exacerbating the effects is the poverty of the
affected area, with its precarious roads and its human dwellings built
dangerously close to the edges of mountain passes. The scenario is highly
similar to that of the Himalayan region, where more than 10,000 people lost
their lives as a result of the catastrophic rainfalls of 2013.
Now, a powerful warning system, capable of providing
up to two days of advance notice and a high degree of accuracy, is available
and can easily be used by weather forecasting centers.
Fruit of the collective efforts of Brazilian and
German scientists who applied the complex networks technique to meteorological
data obtained by satellite, the system was reported in the article “Prediction of extreme floods in the eastern Central Andes based on a
complex networks approach,” published in the
on-line journal Nature Communications October
14, 2014.
The research is part of the thematic project, "Dynamical phenomena in complex networks: fundamentals and applications,"
coordinated by Elbert Einstein Nehrer Macau, principal investigator at the
National Institute for Space Research (INPE), in Brazil, and by Jurgen Kurths,
from Humboldt University, in Germany. The project is funded by FAPESP and the
German Research Foundation (DFG).
The two-nation climatology team analyzed approximately
50,000 high-resolution weather data time series recorded over the past 15 years
and made available by the U.S. Space Agency (NASA) and the Japan Aerospace
Exploration Agency. The team determined that after emerging in the region of
Buenos Aires, Argentina, large convective systems moved northwest towards the
Andes, where, days later, they caused torrential rains. Surprisingly, these
extreme events spread in a direction opposite to that of the winds, which moved
southward.
“Simple correlations between data time series are made
every day in many fields of science – for example, correlations between series
of temperatures recorded at specific points in the ocean and time series of
precipitation over the continent. The methodology we developed is much more
complex and complete, allowing us not only to correlate huge amounts of data
but also to establish cause and effect relationships between the phenomena
observed,” said Henrique de Melo Jorge Barbosa, professor at the Physics
Institute of the University São Paulo and one of the authors of the article
that appeared in Nature Communications.
The thematic project also has applications in other
fields that range from photonics to neurology.
"Flying River"
“What surprised us was discovering that the shift in
rainfalls occurs in the opposite direction to the ‘flying river’.”
The expression “flying rivers” was popularized by José Antonio Marengo
Orsini, a researcher at the National Center for Natural Disaster Monitoring and
Alerts (CEMADEN) and a member of the United Nations (UN) Intergovernmental
Panel on Climate Change (IPCC). It refers to large masses of vapor-filled air,
often accompanied by clouds, propelled by the winds.
The “flying river,” which originates in the Atlantic
Ocean and is loaded with additional moisture after interacting with the Amazon
Rainforest, can transport volumes of water of the same order of magnitude as
the earth’s largest river, the Amazon (200,000 cubic meters per second).
Blocked by the 4,000 meter high wall formed by the Andes mountain range, this
moist air mass shifts southward to the Central-Western, Southeastern and Southern
regions of Brazil and northern Argentina.
“We initially thought that the time sequence of the
rainfalls would match the direction of the flying river. In other words, we
thought that increased rainfall over the Amazon Forest would cause more intense
rain in the south. It seemed obvious. However, by using the new methodology, we
determined that the extreme rain events spread, not from north to south, but
from south to north. We did the calculations several times and found that, in
reality, extreme rainfall events spread in the direction opposite to that of
the flying river,” Barbosa said.
The researchers had to refer back to atmospheric
physics and meteorology to understand why this was the case. “Actually, the
direction of the shift in precipitation depends on the direction of the shift
in instability, from south to north, and not from the direction of the shift of
the moist air mass, from north to south. And this direction in the shift of the
cold front is determined by a low-pressure system that forms in the north of
Argentina,” Barbosa explained.
Based on this discovery, the researchers were able to
establish a set of rules that can be used to predict the occurrences.
Typically, after a peak in convection and rain in the north of Argentina,
certain specific pressure and wind circulation conditions cause the rainfall to
move to the Andes and the Amazon region. “With this rule, we set up our
forecast system. And compared with traditional systems, we experienced a much
larger degree of accuracy. In El Niño years, when extreme events were stronger
and more frequent, our system presented a 90% margin of accuracy. For the other
years, accuracy was at least 60%,” he said.
“We were not able to predict when the first rainfalls
would occur in the north of Argentina. But once they did occur, and once
certain pressure and wind conditions were determined, we could say, with a high
degree of accuracy, that extreme rains would occur in the Andes region two days
later.”
There is still a long way to go before this system can
become a tool used by civil defense entities, but the most difficult step, from
the scientific standpoint, has already been taken. “The tool is available. And
people who would like to use it do not have to understand complex networks or
re-analyze the 15 years of data that we used. They just need to follow our recipe,” Barbosa concluded.
Source: English WebSite of the Agência FAPESP
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