Overview
June was drier than average in western Oregon, with generally average
or above-average precipitation east of the Cascades. Most monthly temperatures
were relatively close to average, but there were more below- than above-average
monthly temperatures.
Table 1 is a summary of monthly averages and totals at selected stations
throughout the state. Table 2 lists daily temperatures and precipitation
for most of the locations listed in Table 1. In Table 3, monthly precipitation
totals throughout the state are listed. Figure 1 is a map showing the
percentage of normal precipitation statewide for the Water Year.
Basin Summary
Here is a summary of water indicators at the end of the month, by
river basin:
|
Precipitation
|
Stream Flow |
SWSI
|
| BASIN |
(1) |
(2) |
(3)
|
(4) |
(5) |
(6) |
| OWYHEE |
109 |
55 |
84 |
17 |
28 |
-1.6 |
| MALHEUR |
77 |
64 |
79 |
62 |
36 |
-1.6 |
| GRAND RONDE, POWDER, BURNT |
65 |
86 |
77 |
42 |
69 |
-2.3 |
| UMATILLA, WALLA WALLA, WILLOW |
152 |
102 |
85 |
66 |
88 |
-2.0 |
| UPPER JOHN DAY |
105 |
93 |
77 |
26 |
66 |
-1.9 |
| UPPER DESCHUTES, CROOKED |
122 |
79 |
92 |
117 |
62 |
-0.6 |
| LOWER DESCHUTES, HOOD RIVER |
59 |
107 |
104 |
71 |
111 |
-1.2 |
| WILLAMETTE |
63 |
102 |
99 |
72 |
99 |
-1.4 |
| ROGUE, UMPQUA |
56 |
101 |
96 |
73 |
94 |
-0.1 |
| KLAMATH |
75 |
79 |
92 |
53 |
72 |
-1.7 |
| LAKE COUNTY, GOOSE LAKE |
118 |
99 |
75 |
78 |
54 |
-1.0 |
| HARNEY |
43 |
52 |
80 |
146 |
67 |
-1.4 |
| NORTH COAST |
78 |
105 |
85 |
164 |
122 |
-1.6 |
| SOUTH COAST |
85 |
87 |
n.a. |
77 |
102 |
-2.0 |
n.a. Not available
(1) Percent of normal June precipitation, from NOAA Cooperative sites
(2) Percent of normal seasonal precipitation (since Oct. 1), from NOAA
Cooperative sites
(3) Percent of normal seasonal precipitation, from Natural Resources
Conservation Service (NRCS) SNOTEL sites
(4) Percent of normal June stream flow, from U.S. Geological Survey
(USGS)
(5) Percent of normal seasonal stream flow (since Oct. 1), from USGS
(6) Surface Water Supply Index, from NRCS (-4 = very dry, 0 = normal,
+4 = very wet)
Forecasts
The Climate Prediction Center’s (CPC) forecasts for July-September
appear below. There is a higher likelihood of warmer than average temperatures
and below-average precipitation in Oregon.

Oregon Climate Service predicts normal temperatures and precipitation
for the next three months.
ENSO
Update
Oregon Climate Service predicts normal temperatures and precipitation
for the next three months.
ENSO Summary: Australia Bureau of Meteorology (BOM), July 11, 2007
Summary: Eastern Pacific remains cooler than average
Weakening Trade Winds in the western Pacific and a drop in the SOI,
has stopped the recent strengthening of La Niña indicators.
However, the eastern Pacific remains cooler than average and there
has been a renewal of a cool sub-surface layer in the central Pacific,
both of which provide the potential for a La Niña development.
The fact that all major international coupled models, including the
POAMA model run daily at the Bureau of Meteorology, forecast further
cooling of the equatorial Pacific Ocean over the coming months, indicates
there is a distinct possibility of a La Niña event occurring
in 2007. Cooler than average waters in the central to eastern Pacific,
normally accompanied by positive SOI values, are usually associated
with wetter than average seasons over eastern and northern Australia,
even if La Niña thresholds are not reached.
Wildfires Blaze Across Parched Western
US Story by Jim Christie, July
9, 2007
http://www.planetark.com/dailynewsstory.cfm/newsid/43009/story.htm
SAN FRANCISCO - Wildfires raged on Sunday across the western United
States as firefighters scrambled to prevent flames from spreading across
rugged terrain thick with tinder turned bone-dry by scorching hot weather.Some
of the intense blazes forced hasty evacuations of rural homes and recreational
areas and officials temporarily shut highways and railways in some
fire zones.
California, Arizona, Nevada, Utah, New Mexico, Oregon, Washington,
Idaho and Montana each reported wildfires of varying severity amid
a heat wave blanketing the western United States.
Fanned by high winds, a fire in Utah had grown into a massive blaze
of more than 160,000 acres (65,000 hectares) and in neighboring Nevada
a fire burning 30 miles (48 km) southwest of the town of Winnemucca
had consumed an estimated 152,000 acres (62,000 ha). The two fires
forced temporary closures of major interstate highways. Neighborhoods
in Winnemucca were temporarily evacuated on Saturday as a separate
fire that had burned an estimated 25,000 acres (10,000 ha) of brush
neared.
"
People are back in their homes now but we're keeping a very close eye
on this fire," Jamie Thompson, a spokesman for the US Bureau of
Land Management, told Reuters in a telephone interview. "There
is a potential for extreme fire conditions today as well."
Lightning on Friday triggered both blazes near Winnemucca and fire
crews are on alert for more strikes. "Isolated cells were moving
through the area. They had very little moisture but plenty of lightning," Thompson
said. "There is still the potential for isolated thunder storms
with lightning of course this afternoon," he added.
In California, lightning-sparked fires in the Inyo National Forest
forced the evacuations of numerous campgrounds. The blazes had
scorched an estimated 34,000 acres (14,000 ha) since breaking out
on Friday,
according to the US Forest Service.
The Forest Service had imposed fire restrictions a week earlier
in all Inyo National Forest lands and neighboring Bureau of Land
Management
lands, expecting increased fire danger from hot, dry weather.
Fire officials across the western United States have been bracing
for
a busy fire season after scant rainfall this past winter.
Advanced Hurricane Forecasting
By Brittany Sauser, Technology Review, July 10, 2007
Forecasters are predicting yet another very active hurricane season
for 2007, but this year meteorologists expect to be able to more
accurately predict the path, structure, and intensity of storms.
The device that
will make this happen is a new hurricane-forecasting model developed
by scientists at the National Oceanic and Atmospheric Administration
(NOAA) Environmental Modeling Center. It will utilize advanced physics
and data collected from environmental-observation equipment to outperform
current models and provide scientists with real-time three-dimensional
analysis of storm conditions.
The model is able to see the inner core of the hurricane, where the
eye wall is located, better and in higher resolution than all other
models, says T. N. Krishnamurti, a professor of meteorology at Florida
State University. The eye wall is the region around the hurricane
eye where the strongest winds and heaviest rains are located, thus
the
place of the highest storm intensity. "It is a very comprehensive
model that is a significant development for hurricane forecasting," says
Krishnamurti.
Currently, experts at the National Hurricane Center and the National
Weather Service rely mostly on the Geophysical Fluid Dynamics Laboratory
(GFDL) model. The model, which has been in use since 1995, forecasts
the path and intensity of storms. Until now, it was the only global
model that provided specific intensity forecasts of hurricanes. And
while it is a very good model, it's limited by the amount of data
it's based on. "It has a very crude representation of storms," says
Naomi Surgi, the project leader for the new model and a scientist in
the Environment Modeling Center. "GFDL is unable to use observations
from satellites and aircraft in its analysis of the storm."
Isaac Ginis, a professor of oceanography at the University of Rhode
Island (URI) who helped develop the GFDL model, agrees that the old
model "has too many limitations" and, while it's able to
forecast the path of a storm well, it is not as skillful at forecasting
the intensity or power of a storm. Ginis is now a principal investigator
for the new model, called the Hurricane Weather Research and Forecast
(HWRF) model, which is able to gather a more varied and better set
of observations and assimilate that data to produce a more accurate
forecast.
This new model will use data collected from satellites, marine data
buoys, and hurricane hunter aircraft, which fly directly into a hurricane's
inner core and the surrounding atmosphere. The aircraft will be equipped
with Doppler radars, which provide three-dimensional descriptions
of the storm, most importantly observing the direction of hurricane
winds.
The aircraft will also be dropping ocean probes to better determine
the location of the loop current, a warm ocean current in the Gulf
of Mexico made up of little hot spots, known as warm core eddies,
that give hurricanes moving over them a "real punch," says Surgi.
The hurricane model will then assimilate the data--wind conditions,
temperature, pressure, humidity, and other oceanic and atmospheric
factors in and around the storm--and analyze it using mathematics
and physics to create a model, explains Surgi. To understand hurricane
problems in the tropics, it is imperative to understand the physics
of the air-sea interface. "In the last several years, we have
learned a lot about the transfer of energy between the upper part of
the ocean and the lowest layers of the atmosphere," she says. "And
the energy fluxes across that boundary are tremendously important in
terms of being able to forecast a hurricane's structure."
Improving the intensity forecast of a storm and being able to precisely
analyze a hurricane's structure were scientists' main goals in developing
the new model. It can now forecast these aspects from 24 hours out
up to five days out with extreme accuracy, says Ginis. The new model
was put to the test by running three full hurricane seasons--2004,
2005, and 2006--for storms in both the Atlantic and east Pacific
basin, totaling close to 1,800 tests runs. For example, the model
was able
to reproduce the life cycle of Hurricane Katrina very well, accurately
forecasting that it would become a category 5 hurricane over the
Gulf of Mexico--something the old model was unable to predict.
Over the next several years, scientists at NOAA will continue to
improve upon these initial advancements with further use of ocean
observations.
They plan to couple the HWRF with a wave model, which will allow
scientists to better forecast storm surge, inland flooding, and rainfall.
NOAA
has, in addition to partnering with URI in 2006, started collaborating
with researchers at the University of Southern Alabama to work on
coupling the HWRF with a wave model and enhancing its forecasting
features.
"
This model is enormously important for emergency response and emergency
managers, and also the public," says Ginis, "because we not
only want to know where the storm is going to make landfall, but also
how powerful it is going to be."
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