|
|||
|
How do we know about clouds?
Surface observations
Field Programs
Field programs are very useful because they usually involve intensive
measurements made over a short period of time and focusing on a small region.
Scientists can use data from field programs to validate
single column models,
which are an important tool for improving
climate models,
or regional climate models.
An example of a current field program is
MILAGRO,
which studies air pollution in Mexico City. A main focus of the project is on
how the wind can redistribute certain pollutants.
Such field programs have many uses, and one of them is the ability to improve
global climate models by comparing them to the data.
In particular, field programs are helpful for improving physical
parameterizations.
|
||
|
|||