How a fleet of windpowered drones is changing our understanding of the ocean Sebastien de Halleux

We know more about
other planets than our own,

and today, I want to show you
a new type of robot

designed to help us
better understand our own planet.

It belongs to a category

known in the oceanographic community
as an unmanned surface vehicle, or USV.

And it uses no fuel.

Instead, it relies
on wind power for propulsion.

And yet, it can sail around the globe
for months at a time.

So I want to share with you
why we built it,

and what it means for you.

A few years ago, I was on a sailboat
making its way across the Pacific,

from San Francisco to Hawaii.

I had just spent the past 10 years
working nonstop,

developing video games
for hundreds of millions of users,

and I wanted to take a step back
and look at the big picture

and get some much-needed thinking time.

I was the navigator on board,

and one evening, after a long session
analyzing weather data

and plotting our course,

I came up on deck and saw
this beautiful sunset.

And a thought occurred to me:

How much do we really know
about our oceans?

The Pacific was stretching all around me
as far as the eye could see,

and the waves were
rocking our boat forcefully,

a sort of constant reminder
of its untold power.

How much do we really know
about our oceans?

I decided to find out.

What I quickly learned
is that we don’t know very much.

The first reason is just
how vast oceans are,

covering 70 percent of the planet,

and yet we know they drive
complex planetary systems

like global weather,

which affect all of us on a daily basis,

sometimes dramatically.

And yet, those activities
are mostly invisible to us.

Ocean data is scarce by any standard.

Back on land, I had grown used to
accessing lots of sensors –

billions of them, actually.

But at sea, in situ data
is scarce and expensive.

Why? Because it relies on
a small number of ships and buoys.

How small a number
was actually a great surprise.

Our National Oceanic
and Atmospheric Administration,

better known as NOAA,

only has 16 ships,

and there are less than
200 buoys offshore globally.

It is easy to understand why:

the oceans are an unforgiving place,

and to collect in situ data,
you need a big ship,

capable of carrying a vast amount of fuel

and large crews,

costing hundreds
of millions of dollars each,

or, big buoys tethered to the ocean floor
with a four-mile-long cable

and weighted down
by a set of train wheels,

which is both dangerous to deploy
and expensive to maintain.

What about satellites, you might ask?

Well, satellites are fantastic,

and they have taught us
so much about the big picture

over the past few decades.

However, the problem with satellites

is they can only see through one micron
of the surface of the ocean.

They have relatively poor
spatial and temporal resolution,

and their signal needs to be corrected
for cloud cover and land effects

and other factors.

So what is going on in the oceans?

And what are we trying to measure?

And how could a robot be of any use?

Let’s zoom in on
a small cube in the ocean.

One of the key things we want
to understand is the surface,

because the surface,
if you think about it,

is the nexus of all air-sea interaction.

It is the interface through which
all energy and gases must flow.

Our sun radiates energy,

which is absorbed by oceans as heat

and then partially released
into the atmosphere.

Gases in our atmosphere like CO2
get dissolved into our oceans.

Actually, about 30 percent
of all global CO2 gets absorbed.

Plankton and microorganisms
release oxygen into the atmosphere,

so much so that every other breath
you take comes from the ocean.

Some of that heat generates evaporation,
which creates clouds

and then eventually
leads to precipitation.

And pressure gradients
create surface wind,

which moves the moisture
through the atmosphere.

Some of the heat radiates down
into the deep ocean

and gets stored in different layers,

the ocean acting as some kind
of planetary-scale boiler

to store all that energy,

which later might be released
in short-term events like hurricanes

or long-term phenomena like El Niño.

These layers can get mixed up
by vertical upwelling currents

or horizontal currents,
which are key in transporting heat

from the tropics to the poles.

And of course, there is marine life,

occupying the largest ecosystem
in volume on the planet,

from microorganisms to fish
to marine mammals,

like seals, dolphins and whales.

But all of these
are mostly invisible to us.

The challenge in studying
those ocean variables at scale

is one of energy,

the energy that it takes to deploy
sensors into the deep ocean.

And of course, many solutions
have been tried –

from wave-actuated devices

to surface drifters

to sun-powered electrical drives –

each with their own compromises.

Our team breakthrough came
from an unlikely source –

the pursuit of the world speed record
in a wind-powered land yacht.

It took 10 years of research
and development

to come up with a novel wing concept

that only uses three watts
of power to control

and yet can propel a vehicle
all around the globe

with seemingly unlimited autonomy.

By adapting this wing concept
into a marine vehicle,

we had the genesis of an ocean drone.

Now, these are larger than they appear.

They are about 15 feet high,
23 feet long, seven feet deep.

Think of them as surface satellites.

They’re laden with an array
of science-grade sensors

that measure all key variables,

both oceanographic and atmospheric,

and a live satellite link transmits
this high-resolution data

back to shore in real time.

Our team has been hard at work
over the past few years,

conducting missions in some of
the toughest ocean conditions

on the planet,

from the Arctic to the tropical Pacific.

We have sailed all the way
to the polar ice shelf.

We have sailed into Atlantic hurricanes.

We have rounded Cape Horn,

and we have slalomed between
the oil rigs of the Gulf of Mexico.

This is one tough robot.

Let me share with you
recent work that we did

around the Pribilof Islands.

This is a small group of islands
deep in the cold Bering Sea

between the US and Russia.

Now, the Bering Sea is the home
of the walleye pollock,

which is a whitefish
you might not recognize,

but you might likely have tasted
if you enjoy fish sticks or surimi.

Yes, surimi looks like crabmeat,
but it’s actually pollock.

And the pollock fishery
is the largest fishery in the nation,

both in terms of value and volume –

about 3.1 billion pounds
of fish caught every year.

So over the past few years,
a fleet of ocean drones

has been hard at work in the Bering Sea

with the goal to help assess
the size of the pollock fish stock.

This helps improve the quota system
that’s used to manage the fishery

and help prevent a collapse
of the fish stock

and protects this fragile ecosystem.

Now, the drones survey
the fishing ground using acoustics,

i.e., a sonar.

This sends a sound wave downwards,

and then the reflection,
the echo from the sound wave

from the seabed or schools of fish,

gives us an idea of what’s happening
below the surface.

Our ocean drones are actually
pretty good at this repetitive task,

so they have been gridding
the Bering Sea day in, day out.

Now, the Pribilof Islands are also
the home of a large colony of fur seals.

In the 1950s, there were about
two million individuals in that colony.

Sadly, these days,
the population has rapidly declined.

There’s less than 50 percent
of that number left,

and the population
continues to fall rapidly.

So to understand why,

our science partner at
the National Marine Mammal Laboratory

has fitted a GPS tag
on some of the mother seals,

glued to their furs.

And this tag measures location and depth

and also has a really cool little camera

that’s triggered by sudden acceleration.

Here is a movie taken
by an artistically inclined seal,

giving us unprecedented insight
into an underwater hunt

deep in the Arctic,

and the shot of this pollock prey

just seconds before it gets devoured.

Now, doing work in the Arctic
is very tough, even for a robot.

They had to survive a snowstorm in August

and interferences from bystanders –

that little spotted seal enjoying a ride.

(Laughter)

Now, the seal tags have recorded
over 200,000 dives over the season,

and upon a closer look,

we get to see the individual seal tracks
and the repetitive dives.

We are on our way to decode
what is really happening

over that foraging ground,

and it’s quite beautiful.

Once you superimpose the acoustic data
collected by the drones,

a picture starts to emerge.

As the seals leave the islands
and swim from left to right,

they are observed to dive at a relatively
shallow depth of about 20 meters,

which the drone identifies
is populated by small young pollock

with low calorific content.

The seals then swim much greater distance
and start to dive deeper

to a place where the drone identifies
larger, more adult pollock,

which are more nutritious as fish.

Unfortunately, the calories expended
by the mother seals

to swim this extra distance

don’t leave them with enough energy
to lactate their pups back on the island,

leading to the population decline.

Further, the drones identify that
the water temperature around the island

has significantly warmed.

It might be one of the driving forces
that’s pushing the pollock north,

and to spread in search of colder regions.

So the data analysis is ongoing,

but already we can see
that some of the pieces of the puzzle

from the fur seal mystery

are coming into focus.

But if you look back at the big picture,

we are mammals, too.

And actually, the oceans provide
up to 20 kilos of fish per human per year.

As we deplete our fish stocks,
what can we humans learn

from the fur seal story?

And beyond fish, the oceans
affect all of us daily

as they drive global weather systems,

which affect things like
global agricultural output

or can lead to devastating destruction
of lives and property

through hurricanes,
extreme heat and floods.

Our oceans are pretty much
unexplored and undersampled,

and today, we still know more
about other planets than our own.

But if you divide this vast ocean
in six-by-six-degree squares,

each about 400 miles long,

you’d get about 1,000 such squares.

So little by little,
working with our partners,

we are deploying one ocean drone
in each of those boxes,

the hope being that
achieving planetary coverage

will give us better insights
into those planetary systems

that affect humanity.

We have been using robots to study
distant worlds in our solar system

for a while now.

Now it is time to quantify our own planet,

because we cannot fix
what we cannot measure,

and we cannot prepare
for what we don’t know.

Thank you.

(Applause)

我们对
其他星球的了解比我们自己的还要多

,今天,我想向您展示
一种新型机器人,

旨在帮助我们
更好地了解我们自己的星球。

它属于

海洋学界
称为无人水面航行器或 USV 的类别。

而且它不使用燃料。

相反,它
依靠风力发电。

然而,它一次可以在全球航行
数月。

所以我想和你分享
我们为什么建造它,

以及它对你意味着什么。

几年前,我在一艘
横跨太平洋的帆船上,

从旧金山到夏威夷。

在过去的 10 年里,我一直
在不停地工作,为数亿用户

开发视频游戏

,我想退后一步
,放眼大局

,获得一些急需的思考时间。

我是船上的领航员

,一天晚上,经过长时间的
天气数据分析

和航向规划后,

我来到甲板上,看到了
这美丽的日落。

我突然想到:

我们对海洋真正了解多少?

一望无际的太平洋在我周围延伸

,海浪
有力地摇晃着我们的船,

不断地提醒
着它那无尽的力量。

我们对海洋真正了解多少?

我决定找出答案。

我很快
了解到,我们知道的并不多。

第一个原因是
海洋有多么广阔,

覆盖了地球 70% 的面积

,但我们知道它们驱动着
复杂的行星系统,

比如全球天气,

这些系统每天都在影响着我们所有人,

有时甚至是巨大的。

然而,这些活动
对我们来说大多是不可见的。

以任何标准衡量,海洋数据都是稀缺的。

回到陆地上,我已经习惯了
访问大量传感器——

实际上是数十亿个。

但在海上,现场
数据稀缺且昂贵。

为什么? 因为它依赖于
少量的船只和浮标。

多么小的
数字实际上是一个很大的惊喜。

我们的国家海洋
和大气管理局

(俗称 NOAA)

只有 16 艘船,

全球近海浮标不到 200 个。

原因很容易理解

:海洋是一个无情的地方

,要收集现场数据,
你需要一艘

能够运载大量燃料

和大量船员的大船,每艘船的

成本
高达数亿美元,

或者, 浮标
用一条四英里长的

电缆拴在海底,
并由一组火车轮子压住,

这既危险
又维护成本高。

你可能会问,卫星呢?

好吧,卫星太棒了,在过去的几十年里

,它们教会了
我们很多关于大局

的知识。

然而,卫星的问题

是它们只能透过
海洋表面的一微米看到。

它们的
空间和时间分辨率相对较差

,其信号需要
针对云量和土地效应

等因素进行校正。

那么海洋中发生了什么?

我们要测量什么?

机器人怎么可能有用?

让我们放大
海洋中的一个小立方体。

我们想要了解的关键事物之一

地表,因为
如果你想一想,地表

是所有海气相互作用的纽带。

它是
所有能量和气体都必须流过的界面。

我们的太阳辐射能量,

这些能量被海洋以热量的形式吸收

,然后部分释放
到大气中。

我们大气中的气体(如二氧化碳)
会溶解到我们的海洋中。

实际上,全球约有 30%
的二氧化碳被吸收。

浮游生物和微生物
将氧气释放到大气中,

以至于你呼吸的每一次呼吸
都来自海洋。

其中一些热量会产生蒸发,
从而产生云层

,然后最终
导致降水。

压力梯度
产生地表风,

使水分
通过大气。

一些热量向下辐射
到深海

并存储在不同的层中

,海洋充当
某种行星规模的锅炉

来存储所有能量,

这些能量随后可能
在飓风等短期事件或长期事件中释放

厄尔尼诺现象。

这些层可能
被垂直上升流

或水平流混合在一起,
这是将热量

从热带地区输送到两极的关键。

当然,还有海洋生物,它们

占据了地球上最大的生态系统

从微生物到鱼类
再到海洋哺乳动物,

如海豹、海豚和鲸鱼。

但所有这些
对我们来说大多是看不见的。

大规模研究这些海洋变量的挑战

能量之一,将传感器部署到深海所需的能量

当然,
已经尝试了许多解决方案——

从波浪驱动装置

到水面漂流器

再到太阳能电力驱动器——

每一种都有自己的折衷方案。

我们团队的突破
来自一个不太可能的来源——

在一艘风力驱动的陆地游艇上追求世界速度记录。

经过 10 年的研究
和开发

,提出了一种新颖的机翼概念

,该概念仅使用 3 瓦
的功率来控制

,却可以以看似无限的自主性推动
车辆在全球范围内行驶

通过将这种机翼概念
应用于海上交通工具,

我们有了海上无人机的起源。

现在,这些比看起来要大。

它们高约 15 英尺,
长 23 英尺,深 7 英尺。

将它们视为地面卫星。

它们装有
一系列科学级传感器

,可以测量

海洋和大气的所有关键变量

,实时卫星链路将
这些高分辨率数据

实时传输回岸边。

在过去的几年里,我们的团队一直在努力工作,在地球


一些最恶劣的海洋条件下执行任务

从北极到热带太平洋。

我们一直航行
到极地冰架。

我们已经驶入大西洋飓风。

我们绕过合恩角,

在墨西哥湾的石油钻井平台之间进行激流回旋。

这是一个坚韧的机器人。

让我与您分享
我们最近

在普里比洛夫群岛所做的工作。

这是美国和俄罗斯之间
寒冷的白令海深处的一小群岛屿

现在,白令海是大
眼鳕的家园,

这是一种
你可能不认识的白鲑,


如果你喜欢鱼棒或鱼糜,你可能已经尝过。

是的,鱼糜看起来像蟹肉,
但实际上是狭鳕。

狭鳕
渔业是全国最大的渔业,

无论是在价值还是数量上——

每年大约捕获 31 亿
磅鱼。

因此,在过去的几年里,
一支海洋无人机舰队

一直在白令海努力工作

,目的是帮助评估
狭鳕鱼群的规模。

这有助于改进
用于管理渔业的配额制度,

并有助于防止
鱼类资源的崩溃

并保护这个脆弱的生态系统。

现在,无人机
使用声学(

即声纳)调查渔场。

这会向下发送声波,

然后反射,
来自海底或鱼群的声波的回声

让我们了解地表以下发生的事情

我们的海洋无人机实际上
非常擅长这项重复性任务,

因此它们
日复一日地在白令海进行网格划分。

现在,普里比洛夫群岛
也是一大群海狗的栖息地。

在 1950 年代,
该殖民地大约有 200 万人。

可悲的是,这些天来
,人口迅速下降。

这个数字只剩下不到 50%,

而且人口
继续迅速下降。

因此,为了了解原因,

我们
在国家海洋哺乳动物实验室的科学合作伙伴

在一些母海豹上安装了 GPS 标签,

粘在它们的皮毛上。

这个标签可以测量位置和深度

,还有一个非常酷的小摄像头

,可以由突然加速触发。

这是一部
由具有艺术倾向的海豹拍摄的电影,

让我们前所未有地深入了解

北极深处的水下狩猎,

以及这只狭鳕猎物

在被吞噬前几秒钟的镜头。

现在
,即使对于机器人来说,在北极工作也非常艰难。

他们不得不在八月的一场暴风雪

和旁观者的干扰中幸存下来——

那只小斑点海豹正在享受骑行。

(笑声)

现在,海豹标签记录
了整个赛季超过 200,000 次潜水

,仔细观察,

我们可以看到各个海豹的足迹
和重复的潜水。

我们正在破译

这片觅食地的真实情况

,它非常漂亮。

一旦你叠加
了无人机收集的声学数据,就会

开始出现一幅画面。

当海豹离开岛屿
并从左到右游动时,

观察到它们在
约 20 米的相对较浅的深度下潜

,无人机识别出其中
居住着热量含量低的小型年轻狭鳕

然后海豹游得更远
,开始潜入

更深的地方,无人机可以识别出
更大、更成年的狭鳕,这些狭鳕

比鱼更有营养。

不幸的是,

海豹游泳这段额外距离所消耗的卡路里

并没有让它们有足够的能量
来哺乳他们的幼崽回到岛上,

导致种群数量下降。

此外,无人机还发现
岛上周围的水温

已经显着升高。


可能是推动狭鳕向北移动

并寻找更冷区域的驱动力之一。

因此,数据分析正在进行中,

但我们已经可以看到

海狗之谜中的

一些谜题正在成为焦点。

但如果你回顾大局

,我们也是哺乳动物。

实际上,海洋
每年为每人提供多达 20 公斤的鱼。

当我们耗尽我们的鱼类资源时,
我们人类可以

从海狗的故事中学到什么?

除了鱼类之外,海洋
每天都在影响着我们所有人,

因为它们驱动着全球天气系统

,影响着
全球农业产量,

或者可能

通过飓风、
极端高温和洪水对生命和财产造成毁灭性破坏。

我们的海洋几乎没有
被探索过,采样不足

,今天,我们
对其他行星的了解仍然比我们自己的要多。

但是如果你把这片广阔的海洋分成
六乘六度的正方形,

每一个长约 400 英里,

你就会得到大约 1000 个这样的正方形。

因此,
与我们的合作伙伴一起,

我们正在逐步在每个盒子中部署一架海洋无人机

,希望
实现行星覆盖

能让我们更好地

了解影响人类的行星系统。 一段时间

以来,我们一直在使用机器人研究
太阳系中的遥远世界

现在是时候量化我们自己的星球了,

因为
我们无法解决无法测量的问题,


无法为未知的事情做好准备。

谢谢你。

(掌声)