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We have
been observing our home
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for 40 years now; in the last 20 of those
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we have focused intensely on Planet Earth,
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with new technologies and capabilities
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accumulating a massive
data that is now revealing
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a complex and ever-changing living planet.
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They've been watching us from space,
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for the last two decades
in high-resolution detail,
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watching our every move.
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Clouds and aerosols, winds and hurricanes,
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forests and cities, droughts and floods,
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the ocean currents and plankton,
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life in the ocean and on land.
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Land cover.
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Aerosols.
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Chlorophyll concentrations.
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Wave heights.
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Ozone concentrations.
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Atmospheric moisture.
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The human footprint.
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Sea-level change.
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And temperatures and moisture in the soil.
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Now scientists have a
high-definition dataset
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spanning two decades to
study and to learn from.
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- NASA has a fleet of satellites
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that are always measuring Earth.
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They're looking at land, oceans,
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atmospheres, ice, altogether.
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The particular visualization
represents the measurement
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of all life on Earth over 20 years.
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I personally find it mesmerizing.
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You're watching the Earth breathe here.
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The seasons are changing.
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Ice is coming in, and retreating.
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You can see the forests on land in green
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expanding and contracting.
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Can see the deserts moving to the ocean.
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You can see biological deserts
in the centers of the ocean,
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represented by blues and purples.
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And then, as you look further
north in the Atlantic,
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or towards Antarctica, you can
see these greens and yellows.
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Explosion of life in the ocean
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just like on land in
the spring and summer.
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Incredible.
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- What we see for the first time
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is how the oceans and the
land behave at the same time,
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through time, for 20 years.
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We've never had data like these before.
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Half of our photosynthesis
occurs in the oceans
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and the other half on land.
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Having these data to show
both at the same time,
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day after day, month after month,
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year after year for 20 years,
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is a great tool to study life on Earth.
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NASA has observed many aspects
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of the coupled
land-ocean-atmosphere system
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and how they interact.
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For example, we see that with
warmer surface temperatures,
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the growing season is getting longer
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at higher northern latitudes,
and spring is coming earlier.
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With satellite data we're able to map this
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continuously across the Earth's surface
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and across the United
States and across Alaska.
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Before that time, you had to rely
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where you had weather stations,
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and so you had points here, points there,
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but you never had
continuous data like these.
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Using these data, we can
look over very large areas,
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and see regional effects.
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Sometimes these effects are positive,
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and nothing bad has happened.
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It's only with these data
we're able to do this
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over all these areas at the same time,
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and this is made possible
by the use of Earth-viewing
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satellites, which orbit
the Earth day after day,
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month after month, year after year.
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These data are the basis for
saying these things about Earth
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with confidence because we measure them.
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The view from
space is opened our eyes
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to so many different things.
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You can see transitions
from La Nina to El Nino,
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represented by huge blooms of
life across the Pacific Ocean
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at the Equator, bigger and
wider than the United States.
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You can see greening of the Arctic.
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You can see earlier
summers, later winters,
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and you can see the emergence
of harmful nuisance algae.
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Charting the
carbon-dioxide cycle through
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the atmosphere, land,
and ocean is essential
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to understanding the environmental changes
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that man is driving.
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Higher carbon dioxide, or
CO2, in the Earth's atmosphere
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appears as red and yellow,
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while lower-than-average
CO2 is shown as blue.
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The pulsing of the data is due to
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the day-night cycle of
plant photosynthesis.
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As CO2 is lifted away from the surface,
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it is rapidly spread around the world
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by high-altitude winds.
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CO2 builds up in the
Northern-Hemisphere winter,
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when plants are dormant.
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By summer, photosynthesis
draws massive amounts
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of CO2 out of the atmosphere,
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resulting in lower CO2 throughout
the Northern Hemisphere.
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The growth and decay of
vegetation in the northern lands
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causes the seasonal
change in atmospheric CO2.
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Longterm, however, it is human activity
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that is increasing overall CO2 levels.
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- 2017 was the second-warmest
year ever recorded,
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and the warmest non-El-Nino year.
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That makes five of the warmest years
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ever recorded just since 2010.
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NASA scientists have
taken weather-station data
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from over 6,000 stations,
and we've connected the dots
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to understand how our Earth is changing.
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In this.
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Growing as we look at how much
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high latitudes in places like
Alaska have warmed since 1950.
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So, across the globe we're
seeing a consistent trend
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towards warming but with
twice as much warming
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across the high latitudes like Alaska.
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This rapid increase
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in overall global temperatures
is clearly defined
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when satellite data is added to the model.
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- The ability to expand
your senses into space,
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compress time, watch
visualizations like these,
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see how the ecosystems of
land, ocean, atmosphere,
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ice, all interact, and
then be able to rewind it,
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and watch it again and again,
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it's, yeah, it's amazing.
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Ask any astronaut.
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When they look down at Earth,
they see a single environment.
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No borders, no plains,
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just a single planet which
we all have to rely on.
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With this data, scientists can check up
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on the health of the plant.
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One primary concern is the Ozone Layer.
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- We know the Montreal
Protocol was a huge success.
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This was signed in late 1980s,
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when scientists and policymakers
from around the world
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gathered together to try
to save the Ozone Layer.
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- The chemicals they regulated persist
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in the atmosphere for many decades.
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They thin the Ozone Layer,
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and they create a seasonal
hole over Antarctica.
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They basically take away
part of our planet's
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natural sunscreen, and
that increases the risk
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of skin cancer and damage to plants.
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Scientists have
projected the ozone hole
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will disappear almost completely by 2075.
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But several factors
could delay that outcome.
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- There're some industrial compounds
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that did not banned by
the Montreal Protocol,
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but as they enter the atmosphere,
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they will also hurt the Ozone Layer.
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- But the unregulated
compounds have a short lifespan
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in the atmosphere, unlike
the chlorofluorocarbons
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that were originally regulated.
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So they have a short-lived
impact on ozone,
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and we don't think they'll delay recovery
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by more than a few years.
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- We've projected, by 2050 more than half
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of the ozone-depleting
compounds in the atmosphere
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will come from long-lived
substances banned by the protocol.
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Because these
compounds stay in the air
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for such a long time,
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compared to the unregulated
short-lived compounds,
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they will have a disproportionate
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and lingering impact on ozone.
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Any noncompliance with protocol
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can have significant consequences.
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- The really big uncertainty
in Ozone-Layer recovery
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is climate change.
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There're many naturally-produced
ozone-depleting substances
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that're emitted by the oceans,
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and as the oceans continue
to warm due to climate change
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those emissions will increase,
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and that will further
delay ozone recovery.
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Scientists
want to understand better
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how climate change will
affect ozone recovery.
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- This is a hard problem.
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As a scientific community,
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we need to work on this major issue.
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We now have a powerful new
tool to simulate atmosphere
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and its interaction with land
and ocean to study this issue,
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and that's what we're going to do.
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At the top
of the world, however,
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the arctic ice continues to shrink.
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- Sea ice is the ice that grows
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and melts within the Arctic Ocean.
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It grows in the wintertime
when it gets cold,
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and melts during through the summertime.
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It doesn't raise sea level
but it's very important
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for the global climate system
because the ice is very bright
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and reflective, reflects
a lotta the Sun's energy
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that comes in during the summertime
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and helps keep the Arctic cooler.
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It's like a refrigerator for
the global climate system,
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by keeping the globe cooler
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than it normally would be without sea ice.
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As we lose the ice,
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it's like we're opening
the refrigerator door,
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and not cooling things as
efficiently as we used to.
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Constant
observation since the '70s
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lets us see a trend.
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- The Arctic sea ice has
been changing quite rapidly.
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We've seen a decline over
35-plus years of our record.
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The last 15 years, particularly,
it's been accelerating.
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So, really, it's become a matter of when,
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not if we lose the Arctic sea ice,
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because we have a lotta
warmth in the Arctic,
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it's gonna continue to warm,
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we're gonna continue to melt sea ice.
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There's uncertainty as to
exactly when that will happen,
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but sometime in the
not-too-distant future,
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faster than we used to
think, the Arctic Ocean
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will be substantially
ice-free by the end of summer.
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Arctic sea ice is not the only place
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we're seeing big changes.
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00:12:09,904 --> 00:12:12,512
We're also seeing big
changes in Greenland,
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which is the big massive
ice on top of the continent,
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and we're seeing more and more melt,
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we're seeing ice calving off as icebergs.
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We're seeing big masses of ice loss
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over the last several years.
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That means that that ice
is going into the ocean,
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that's raising sea level.
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That's gonna have big
impacts down the road
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as we continue to lose more
and more ice from Greenland.
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Ancient air
bubbles trapped in ice
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enable us to step back in
time, and see what Earth's
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atmosphere and climate were
like in the distant past.
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Today we stand on the
threshold of a new geologic era
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which some term the
Anthropocene, where the climate
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is very different to the
one our ancestors knew.
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- We can see that a warmer world means
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that there's an impact
for warming temperatures
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in the Arctic, melting sea ice.
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That sea ice leads to
larger sea-level rise.
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NASA scientists are on
the ground, in airplanes,
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00:13:12,751 --> 00:13:15,530
and using our satellite data
to understand how what starts
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in the Arctic doesn't
exactly stay in the Arctic.
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The hope is
that all this data collection
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will mean that real-world
problems can be reassessed
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and new angles explored.
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A case in point: dolphin
and whale stranding.
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Could this accumulated satellite data
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help address the problem?
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Cape Cod in the US State of Massachusetts
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is home to one of the most
frequent marine-mammal
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stranding sites in the world.
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- If we can get there quickly,
and provide supportive care,
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they have a much better
prognoses in terms of survival.
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Scientists
know very little about why
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these mammals strand, and only a quick
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and efficient response in
these events will save lives.
256
00:14:07,170 --> 00:14:09,239
Katie Muir works on the frontline,
257
00:14:09,240 --> 00:14:11,332
and has fine-tuned rescue efforts.
258
00:14:12,269 --> 00:14:16,327
- If we can develop an
algorithm that pieces together
259
00:14:16,328 --> 00:14:20,516
the different variables that
may be causing mass strandings
260
00:14:20,517 --> 00:14:21,976
or driving mass strandings,
261
00:14:21,977 --> 00:14:24,626
then we have the ability
to then prevent them.
262
00:14:24,627 --> 00:14:26,525
We can have teams that
are out on the shore
263
00:14:26,526 --> 00:14:28,365
looking for animals in those hotspots,
264
00:14:28,366 --> 00:14:30,954
knowing that all those
variables have come together
265
00:14:30,955 --> 00:14:32,354
and this is a likely point in time
266
00:14:32,355 --> 00:14:33,504
where we're likely to see it.
267
00:14:33,505 --> 00:14:36,033
But we can also have
teams ready to respond
268
00:14:36,034 --> 00:14:38,643
so that if they do strand,
we're there that much faster,
269
00:14:38,644 --> 00:14:41,442
and more animals will survive the event.
270
00:14:41,443 --> 00:14:42,682
Marine biologists from
271
00:14:42,683 --> 00:14:44,802
the US Bureau of Ocean Energy Management
272
00:14:44,803 --> 00:14:47,401
were also looking at this problem.
273
00:14:47,402 --> 00:14:50,340
- For the large proportion
of these strandings,
274
00:14:50,341 --> 00:14:55,340
the animals are across the
ages, in pretty good health,
275
00:14:55,500 --> 00:14:58,459
and there's no really immediate evidence
276
00:14:58,460 --> 00:15:00,688
as to why they actually strand.
277
00:15:00,689 --> 00:15:03,538
One possibility
is geomagnetic perception:
278
00:15:03,539 --> 00:15:06,927
the ability to navigate
using Earth's magnetic field,
279
00:15:06,928 --> 00:15:09,467
which is believed to be
used by marine mammals.
280
00:15:09,468 --> 00:15:12,796
Could changes in the magnetic
field confuse the animal?
281
00:15:12,797 --> 00:15:16,975
Geomagnetic pulses or storms
can be caused by space weather.
282
00:15:16,976 --> 00:15:21,134
- Geomagnetic perception
is one of the theories.
283
00:15:21,135 --> 00:15:24,261
I thought: "Well, hmm, if a
magnetometer can pick it up,
284
00:15:24,262 --> 00:15:26,943
"maybe the animals
actually can pick it up."
285
00:15:26,944 --> 00:15:28,823
Dr. Reeb consulted with NASA
286
00:15:28,824 --> 00:15:31,152
at the Goddard Space Flight Center.
287
00:15:31,153 --> 00:15:32,992
The coolest
thing was that we realized
288
00:15:32,993 --> 00:15:36,511
that nobody had really
taken a cold hard data
289
00:15:36,512 --> 00:15:38,496
science analysis look at the problems.
290
00:15:38,497 --> 00:15:40,260
- What we're trying to look at here
291
00:15:40,261 --> 00:15:43,500
was if there was a potential
driver or relationship
292
00:15:43,501 --> 00:15:46,549
or correlation between the
occurrence of mass strandings
293
00:15:46,550 --> 00:15:48,869
and any solar activity.
294
00:15:48,870 --> 00:15:52,048
- The data that we have
correlated, or analyzed so far
295
00:15:52,049 --> 00:15:56,067
is information about the
local geomagnetic conditions.
296
00:15:56,068 --> 00:15:59,826
We have long data records
from geophysical observatories
297
00:15:59,827 --> 00:16:02,696
of the local geomagnetic-field variations
298
00:16:02,697 --> 00:16:04,779
and marine-mammal stranding.
299
00:16:05,676 --> 00:16:07,865
Their
analysis was inconclusive.
300
00:16:07,866 --> 00:16:11,924
They needed more data from
other environmental conditions.
301
00:16:11,925 --> 00:16:15,113
- Easy-fix correlation
between a geomagnetic pulse
302
00:16:15,114 --> 00:16:19,502
and, ooh, a stranding, doesn't
seem to be very evident,
303
00:16:19,503 --> 00:16:22,752
but what it does show is that
there are multiple variables
304
00:16:22,753 --> 00:16:26,411
involved in this equation and
that the geomagnetic storms
305
00:16:26,412 --> 00:16:30,490
could just be one very small
part of it, significant still.
306
00:16:30,491 --> 00:16:34,209
But, it looks like there
are multiple oceanographic
307
00:16:34,210 --> 00:16:36,033
and environmental elements.
308
00:16:37,000 --> 00:16:38,479
With more data in hand,
309
00:16:38,480 --> 00:16:40,938
it was time to expand the team.
310
00:16:40,939 --> 00:16:43,847
They recruited statisticians
and the expertise
311
00:16:43,848 --> 00:16:45,907
of NASA Earth-science data analyst
312
00:16:45,908 --> 00:16:48,191
and oceanographer Erdem Karakoylu.
313
00:16:50,387 --> 00:16:53,815
- A dataset, no matter
its shape or content,
314
00:16:53,816 --> 00:16:55,655
always has a story to tell.
315
00:16:55,656 --> 00:16:59,344
Trying to figure out how
different data are connected,
316
00:16:59,345 --> 00:17:03,613
I think, require a wide
diversity of skills
317
00:17:03,614 --> 00:17:05,393
and background knowledge.
318
00:17:05,394 --> 00:17:07,023
- For example, I'll be explaining
319
00:17:07,024 --> 00:17:09,642
how a mass stranding occurs
and how we respond to try
320
00:17:09,643 --> 00:17:12,422
and understand why I'm presenting
the data in a certain way,
321
00:17:12,423 --> 00:17:14,681
and my colleagues from
NASA will look at me,
322
00:17:14,682 --> 00:17:16,431
and ask questions that
wouldn't think to ask
323
00:17:16,432 --> 00:17:18,690
because I take for
granted my understanding,
324
00:17:18,691 --> 00:17:20,470
and they're coming at it
from a totally new angle
325
00:17:20,471 --> 00:17:21,870
with no background.
326
00:17:21,871 --> 00:17:23,759
These datasets
may reveal a pattern,
327
00:17:23,760 --> 00:17:26,719
allowing scientists to
predict the likelihood
328
00:17:26,720 --> 00:17:30,352
and location of mass
stranding before it happens.
329
00:17:31,299 --> 00:17:34,757
- We've really sort of
slowly peeled the first layer
330
00:17:34,758 --> 00:17:37,677
of this onion back, and I
think that there's so many
331
00:17:37,678 --> 00:17:41,526
more layers that still need
to be addressed and looked it.
332
00:17:41,527 --> 00:17:44,795
I hope that we can actually
find additional collaborators,
333
00:17:44,796 --> 00:17:48,684
additional funding partners
to really bring all the data
334
00:17:48,685 --> 00:17:51,274
that's really available
to really give this
335
00:17:51,275 --> 00:17:53,997
the study and the
scrutiny that it deserves.
336
00:17:55,004 --> 00:17:57,652
- We are also going other
make all these datasets
337
00:17:57,653 --> 00:18:00,432
available to the entire
scientific community
338
00:18:00,433 --> 00:18:03,561
so that we can utilize the
entire scientific community,
339
00:18:03,562 --> 00:18:06,935
attack, and a new
approach to this problem.
340
00:18:08,941 --> 00:18:12,070
- I think that there will be other things
341
00:18:12,071 --> 00:18:16,259
to take and run with, get new
ideas, maybe add more data.
342
00:18:16,260 --> 00:18:18,618
I'm hoping also there will be a model
343
00:18:18,619 --> 00:18:23,618
for how projects can then be
opened to the wider public.
344
00:18:33,596 --> 00:18:35,265
- The ability to release animals
345
00:18:35,266 --> 00:18:37,774
after they've stranded is tremendous.
346
00:18:37,775 --> 00:18:40,324
When we do that, that's the
best feeling in the world
347
00:18:40,325 --> 00:18:42,583
after all of that hard work.
348
00:18:42,584 --> 00:18:46,623
- Those questions that seem unanswerable,
349
00:18:46,624 --> 00:18:49,402
if you give them time
and support and effort
350
00:18:49,403 --> 00:18:52,355
and put people on them,
we can do amazing things.
351
00:19:14,358 --> 00:19:15,977
Data from satellites reveals
352
00:19:15,978 --> 00:19:19,726
the interconnection
between air, sea, and land.
353
00:19:19,727 --> 00:19:22,365
This is a visualization of three aerosols:
354
00:19:22,366 --> 00:19:24,729
dust, smoke, and sea salt.
355
00:19:26,246 --> 00:19:29,414
The CALIPSO-Satellite data reveals in 3D
356
00:19:29,415 --> 00:19:31,903
how dust from the arid Sahara Desert
357
00:19:31,904 --> 00:19:34,773
is lifted by the winds
each year, and transported
358
00:19:34,774 --> 00:19:39,107
nearly 5,000 kilometers
across the Atlantic Ocean.
359
00:19:43,142 --> 00:19:45,321
Some of it settles in the Amazon Basin,
360
00:19:45,322 --> 00:19:47,930
the largest rainforest on the planet.
361
00:19:47,931 --> 00:19:50,290
Sahara dust contains phosphorus,
362
00:19:50,291 --> 00:19:52,699
an important nutrient for plants.
363
00:19:52,700 --> 00:19:54,689
CALIPSO shows that, on average,
364
00:19:54,690 --> 00:19:59,002
182 million tons of dust
leaves Africa each year.
365
00:20:00,409 --> 00:20:03,127
When the Sahel was dry, the dust transport
366
00:20:03,128 --> 00:20:05,947
to the Amazon in the
next year would increase;
367
00:20:05,948 --> 00:20:09,280
when it was wet, dust
transport would decrease.
368
00:20:10,627 --> 00:20:14,055
We can now track global
precipitation, wind currents,
369
00:20:14,056 --> 00:20:16,128
cloud cover, and ocean temperature.
370
00:20:17,225 --> 00:20:19,774
Satellites have detected
a shift in phytoplankton
371
00:20:19,775 --> 00:20:23,693
populations across the planet's
five great ocean basins,
372
00:20:23,694 --> 00:20:26,652
showing the expansion of biological desert
373
00:20:26,653 --> 00:20:28,106
where little life thrives.
374
00:20:29,543 --> 00:20:31,791
Diatoms are one of the most abundant types
375
00:20:31,792 --> 00:20:36,260
of marine phytoplankton, but
a new 15-year-long NASA study
376
00:20:36,261 --> 00:20:38,944
reveals global populations have declined.
377
00:20:39,961 --> 00:20:43,009
Diatoms, like all
phytoplankton, have chlorophyll,
378
00:20:43,010 --> 00:20:46,468
the same photosynthesizing
pigment as plants.
379
00:20:46,469 --> 00:20:48,238
They occupy the surface of the ocean,
380
00:20:48,239 --> 00:20:51,197
where they harvest light from the Sun.
381
00:20:51,198 --> 00:20:55,127
In large numbers, diatoms
form colorful swirling blooms
382
00:20:55,128 --> 00:20:56,860
that can be seen from space.
383
00:20:57,897 --> 00:20:59,306
According to the study,
384
00:20:59,307 --> 00:21:02,925
significant decreases in
populations, shown here in red,
385
00:21:02,926 --> 00:21:04,849
are mainly in the Northern Hemisphere.
386
00:21:05,915 --> 00:21:09,694
- Diatoms rely on nutrients
such as nitrate, silicate,
387
00:21:09,695 --> 00:21:12,993
and iron to reach the surface
layer where they live.
388
00:21:12,994 --> 00:21:15,952
What the study shows is
that the availability
389
00:21:15,953 --> 00:21:18,112
of these nutrients has changed
390
00:21:18,113 --> 00:21:21,208
due to the Wave Cycle
within the water column.
391
00:21:21,209 --> 00:21:23,661
Diatoms occupy
the surface area of the ocean
392
00:21:23,662 --> 00:21:25,870
called the Mixed Layer.
393
00:21:25,871 --> 00:21:27,740
Nutrients collect on the ocean floor,
394
00:21:27,741 --> 00:21:30,359
and are cycled up to this layer.
395
00:21:30,360 --> 00:21:32,619
Various physical forces
can cause the depth
396
00:21:32,620 --> 00:21:34,789
of the mixed layer to become shallower
397
00:21:34,790 --> 00:21:37,648
so that fewer nutrients reach the diatoms.
398
00:21:37,649 --> 00:21:40,331
Without these, their populations decline.
399
00:21:41,398 --> 00:21:43,087
This map shows areas on the globe
400
00:21:43,088 --> 00:21:45,504
where the depth of the
Mixed Layer shallowed.
401
00:21:46,437 --> 00:21:48,466
- It's hard to pinpoint exactly
402
00:21:48,467 --> 00:21:50,305
why these change have happen.
403
00:21:50,306 --> 00:21:54,065
Things like wind, circulation,
and temperature can affect
404
00:21:54,066 --> 00:21:57,454
the way these nutrients are
brought to the surface layer.
405
00:21:57,455 --> 00:22:00,393
We hope a longer study
can yield more information
406
00:22:00,394 --> 00:22:02,973
on whether these changes are, in fact,
407
00:22:02,974 --> 00:22:05,743
a trend or variability.
408
00:22:53,444 --> 00:22:54,932
Next-generation satellites
409
00:22:54,933 --> 00:22:58,522
are reaching orbit now to
continue this important work.
410
00:22:58,523 --> 00:23:01,901
They will collect data,
maintain observation continuity,
411
00:23:01,902 --> 00:23:03,371
and allow scientists to track
412
00:23:03,372 --> 00:23:04,921
the changes in our environment.
413
00:23:05,831 --> 00:23:08,340
They can then model dynamic simulations
414
00:23:08,341 --> 00:23:11,279
to better understand this unique planet
415
00:23:11,280 --> 00:23:14,974
and the myriad of
lifeforms that rely on it.
33637
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