The following HTML text is provided to enhance online
readability. Many aspects of typography translate only awkwardly to HTML.
Please use the page image
as the authoritative form to ensure accuracy.
Page 32
For example, warm phases of ENSO in the Pacific Northwest of the
United States are generally (but not always) characterized by
anomalously warm and dry conditions. A nowcast of evolving warm
conditions in the tropical Pacific implies a number of conditions
to be expected regionally, such as less snowpack in the mountains
and earlier peaking and overall decreased streamflow in the major
river systems fed by mountain snowpack. Since large parts of the
Pacific Northwest depend on streamflow for irrigation,
hydroelectric power, river transport, and city reservoirs, actions
can be taken in advance to mitigate the effects of reduced
streamflow.
Specific ENSO Forecast NeedsTime
and Space Resolution
Forecast needs depend on the sector that may use the forecast
and on the particular use within the sector to which the forecast
is applied. Many users desire precipitation forecasts, averaged
over the weather time scalesthis usually means monthly
averaged precipitation predicted a season to a year in advance.
Such forecasts are useful for agriculture, sanitation and sewer
management, hydroelectric power generation, river transportation,
flood control, forest fire control, and mosquito control. Some
users desire monthly averaged temperature forecasts for a season to
a year in advance. Such forecasts are useful for coastal fishery
management, fuel distribution and storage planning, construction
involving concrete pouring, and the tourism, recreation, and retail
sales industries. Climate scientists believe there are fewer
practical applications of forecasts of other physical quantities
(we regard the winds that go with hurricanes as part of hurricane
prediction rather than wind prediction). The match between forecast
information and its users' needs is discussed further in Chapter
4.
Applications that require averaged precipitation or temperature
can benefit from ENSO forecasts, but applications that require
information on when forecast events will occur cannot benefit,
because of limitations in forecasting capability. Agriculture in
India, for example, depends on planting relatively soon before the
onset of the summer monsoon rains. Planting too soon means the
seeds will die in the ground, whereas waiting too long to plant
means that the ground may be too soft or muddy for planting. ENSO
climate models may forecast the intensity of the monsoon rainfall
in advance, but they cannot (and probably will never be able to)
forecast the specific date of onset of the monsoon rains, because
such onsets depend strongly on the details of weather patterns that
are essentially unpredictable more than a week or so in
advance.
In general, forecasts of averaged precipitation and temperature
are made on the same spatial scale as the atmospheric model that is
directly