2015年4月14日 星期二

Why Forecasts Can Be Wrong

CNN Student News January 28, 2015 一分鐘英聽練習(含video,mp3及克漏字)

CNN Student News January 28, 2015 video 約自1分10秒處開始

CNN Student News January 28, 2015 Why Forecasts Can Be Wrong.mp3

CNN Student News January 28, 2015 Why Forecasts Can Be Wrong.doc

Why is the weather so hard to predict?
We have computer models that literally try to forecast   what`s going to happen,
and then we believe those models  . If the models are wrong, we are wrong.
Then problem with the models are that you can`t put all the data   in  ,
or if you had   everything in the world into   the model,
it would   take   you four days to   make   a one day forecast  .
The parameters 參數 of a weather model are vast  . We have temperature   at the ground,
we have temperatures in the mid-level, temperatures aloft,
高空
how big the jet   stream   is, what the humidity   is, what the wind direction   is,
what the water temperatures are, where the mountains are,
where the low   pressure   is, where the high   pressure   is.
All of those factors   fit in. And so what we have is a model that   says  ,
if this today, then this tomorrow. And then if this tomorrow, then this the next day,
and if the   first   day   is wrong, all   the   way   down the model’s wrong.
As a meteorologist, 氣象學者 whether you are on TV, working for the hurricane center, you are out there,
trying   to   protect people, trying to protect livelihood  , trying to protect   their lives  .
We are the king   of worst case   scenario. That`s what my wife calls   me.
Don`t you ever think about the best   case   scenario  ?
No, because you can`t prepare   for the best case scenario, you could   only   prepare for the worst.
If you’re prepared for the worst, and it doesn`t happen, you’re safe.
If you’re prepared for the worst, and it does   happen, you are safe.
If you’re prepared   for the best case and the worst case happens  , you’re in   trouble  .

We have computer models that literally try to forecast   what`s going to happen,
and then we believe those models  . If the models are wrong, we are wrong.
Then problem with the models are that you can`t put all the data   in  ,
or if you had   everything in the world into   the model,
it would   take   you four days to   make   a one day forecast  .
The parameters 參數 of a weather model are vast  . We have temperature   at the ground,
we have temperatures in the mid-level, temperatures aloft,
高空
how big the jet   stream   is, what the humidity   is, what the wind direction   is,
what the water temperatures are, where the mountains are,
where the low   pressure   is, where the high   pressure   is.
All of those factors   fit in. And so what we have is a model that   says  ,
if this today, then this tomorrow. And then if this tomorrow, then this the next day,
and if the   first   day   is wrong, all   the   way   down the model’s wrong.
As a meteorologist, 氣象學者 whether you are on TV, working for the hurricane center, you are out there,
trying   to   protect people, trying to protect livelihood  , trying to protect   their lives  .
We are the king   of worst case   scenario. 可能出現的最壞情況 That`s what my wife calls   me.
Don`t you ever think about the best   case   scenario  ?
No, because you can`t prepare   for the best case scenario, you could   only   prepare for the worst.
If you’re prepared for the worst, and it doesn`t happen, you’re safe.
If you’re prepared for the worst, and it does   happen, you are safe.
If you’re prepared   for the best case and the worst case happens  , you’re in   trouble  .


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