Monday, December 19, 2016
Thursday, December 15, 2016
Warm and cold night
Temperatures got warmer throughout the night in Spanish Fork
And finally the Airport. They were stuck in a cold pool all night, then southerly winds mixed out the cold air and temperatures rose quickly to over 54 C
Inversion this morning quite impressive from the morning rawinsonde:
Check out the time series of Sodar data near the airport as the cold pool mixed out:
Now, moving north to the Point of the Mountain...
And finally the Airport. They were stuck in a cold pool all night, then southerly winds mixed out the cold air and temperatures rose quickly to over 54 C
Inversion this morning quite impressive from the morning rawinsonde:
Check out the time series of Sodar data near the airport as the cold pool mixed out:
Thursday, December 8, 2016
Peter Sinks, Utah: One of the coldest places
The Peter Sinks in Northern Utah (near Bear Lake) is one of the coldest places in the lower 48 states.
Some info here: https://climate.usurf.usu.edu/PeterSinks/
and here: https://en.wikipedia.org/wiki/Peter_Sinks
The temperature gradient between the rim and the valley, a 270 foot vertical difference, can be quite large. Over the last two days temperatures have plunged below -40 C.
Max, min, and mean temperatures for the two stations are shown below (need to apply some quality control on the data from the MesoWest API seeing that there is a max temperature in September of over a 105 F, which seems odd) Still, it is often quite cold in the Peter Sinks.
Some info here: https://climate.usurf.usu.edu/PeterSinks/
and here: https://en.wikipedia.org/wiki/Peter_Sinks
From MesoWest: the PSINK and PSRIM sites at midnight on December 8, 2016 |
The temperature gradient between the rim and the valley, a 270 foot vertical difference, can be quite large. Over the last two days temperatures have plunged below -40 C.
Max, min, and mean temperatures for the two stations are shown below (need to apply some quality control on the data from the MesoWest API seeing that there is a max temperature in September of over a 105 F, which seems odd) Still, it is often quite cold in the Peter Sinks.
Wednesday, December 7, 2016
Thursday, December 1, 2016
Comparing the MYNN and MYJ planetary boundary layer schemes for a Lake Breeze event.
I was the lead author for a paper titles "Impact of Lake Breezes on Summer Ozone Concentration in the Salt Lake Valley." This article was recently accepted in the Journal of Applied Meteorology and Climatology. (see article here: http://journals.ametsoc.org/doi/abs/10.1175/JAMC-D-16-0216.1)
One concern from the reviewers was our use of the MYJ planetary boundary layer scheme. They pointed to evidence that the MYNN scheme was superior, and may improve our results, particularly in the timing of a lake breeze passage on June 18, 2016. We declined to re-run the simulation using the MYNN due to computing resources and time.
I have since re-ran the simulation with the MYNN and found the results are very similar with the MYJ. Below are time series graphs for the stations presented in the paper with the temperature and wind with the MYNN model run overlaid in magenta. The only change between the "WRF" and "MYNN" model data is that the MYNN uses the MYNN PBL scheme instead of the MYJ PBL scheme.
Just as a comparison between 3 km and 1 km domains: the lake breeze is much less "sharp" in the outermost domain, run at 3 km (right), than the inner domain run at 1 km (right).
One concern from the reviewers was our use of the MYJ planetary boundary layer scheme. They pointed to evidence that the MYNN scheme was superior, and may improve our results, particularly in the timing of a lake breeze passage on June 18, 2016. We declined to re-run the simulation using the MYNN due to computing resources and time.
I have since re-ran the simulation with the MYNN and found the results are very similar with the MYJ. Below are time series graphs for the stations presented in the paper with the temperature and wind with the MYNN model run overlaid in magenta. The only change between the "WRF" and "MYNN" model data is that the MYNN uses the MYNN PBL scheme instead of the MYJ PBL scheme.
Color and station name denote the observed temperature and wind at the station location. Black dashed is the original WRF simulation, magenta dashed is the same simulation except uses MYNN boundary layer physics.
Temperature and wind patterns between the two runs are very similar. We see that using the MYNN did not change the timing of the lake breeze on this day.
The cause of the observed delay in the lake breeze progression is likely caused by stronger meridional wind component below 5,000 meters (550 mb). In the vertical profiles below, you can see the opposing southerly winds at the Salt Lake City Airport were from the direct south at 10 m/s below an inversion layer at 5,000 m. The HRRR and WRF with MYNN PBL scheme had slightly weaker winds and more from the southwest. This subtle difference is likely the primary reason for the delayed lake breeze on the afternoon of 18 June 2016. The next question is, "how do we fix that subtlety in the model." I'm not sure I know the answer to that.
The cause of the observed delay in the lake breeze progression is likely caused by stronger meridional wind component below 5,000 meters (550 mb). In the vertical profiles below, you can see the opposing southerly winds at the Salt Lake City Airport were from the direct south at 10 m/s below an inversion layer at 5,000 m. The HRRR and WRF with MYNN PBL scheme had slightly weaker winds and more from the southwest. This subtle difference is likely the primary reason for the delayed lake breeze on the afternoon of 18 June 2016. The next question is, "how do we fix that subtlety in the model." I'm not sure I know the answer to that.
Just as a comparison between 3 km and 1 km domains: the lake breeze is much less "sharp" in the outermost domain, run at 3 km (right), than the inner domain run at 1 km (right).
Domain 2 with 1 km grid spacing |
Domain 1 with 3 km grid spacing |
Labels:
Lake Breeze,
MYJ,
MYNN,
Ozone,
publication,
WRF
N. Utah Snow on November 25th, 2016
MODIS Image, 25 Nov 2016
|
https://worldview.earthdata.nasa.gov/ |
Update:
Here is the snow on December 2nd
Wednesday, November 23, 2016
HRRR: Top Soil and Surface Temperature
I'm looking at the surface temperature of the Great Salt Look and wondered if the top soil temperature or the surface temperature is what I should be looking at. Turns out, the top soil level and the lowest temperature level (surface temperature) are identical over water
Shown, difference between Soil Temperature (top soil level) and Surface Temperature:
Shown, difference between Soil Temperature (top soil level) and Surface Temperature:
As you can see, there is no difference between the surface temperature and top soil level temperature over the Great Salt Lake (thus, the white color over the lake area).
The same can not be said over mountainous areas, where there are the largest differences.
Tuesday, November 22, 2016
GOES-R Satellite Launched
On 19 Noveber 2016, the GOES-R satellite was successfully launched. This new NOAA satellite is set to make a big impact on weather forecasting over the next decade.
Watch the Launch below
More info can be found here
Watch the Launch below
More info can be found here
Friday, November 18, 2016
Wednesday, November 16, 2016
Storm's a comin'
The first half of this November has been comically warm. The temperatures at Salt Lake get warmer and warmer.
But our first winter storm is at our doorstep. Temperatures will begin to drop this evening and we'll see some snow in the mountains and the valley floor. Below shows the NAM forecast for 5:00 PM this evening. Going to work tomorrow will be considerably colder than it was this morning. The thermometer in my car said is was 57 F on my way to the train. Tomorrow morning will be closer to freezing.
Mark your calendar!! GOES-R Launches this Saturday
The GOES-R satellite is scheduled to launch 19 November 2016 at 3:40 Mountain Time. This satellite is an advancement in modern weather observation systems and will aid in weather forecasting and monitoring.
Thursday, November 3, 2016
Operational RAP/HRRR update for wind gusts
As a note to myself:
AUTHOR: Stan Benjamin
DATE: 3-November-16 1459Z
A change was made in the wind gust diagnostic calculation for the operational
RAP and HRRR yesterday (2 Nov 2016) starting with the 14z run. This change
reverted to use of a theta-v profile PBL depth for the wind gust diagnostic
instead of using an alternative hybrid PBL-depth. Use of the hybrid PBL was
resulting in too-strong wind gust fields at nighttime. More information is
available in http://ruc.noaa.gov/rr/RAP_ var_diagnosis.html#gust
AUTHOR: Stan Benjamin
DATE: 3-November-16 1459Z
A change was made in the wind gust diagnostic calculation for the operational
RAP and HRRR yesterday (2 Nov 2016) starting with the 14z run. This change
reverted to use of a theta-v profile PBL depth for the wind gust diagnostic
instead of using an alternative hybrid PBL-depth. Use of the hybrid PBL was
resulting in too-strong wind gust fields at nighttime. More information is
available in http://ruc.noaa.gov/rr/RAP_
Friday, October 28, 2016
Three fall mornings.
The last three days have been quite nice on my morning walk to campus.
And College Game Day is on campus today and tomorrow for the big Utah vs. Washington game. Go Utes!!!
And College Game Day is on campus today and tomorrow for the big Utah vs. Washington game. Go Utes!!!
Thursday, October 20, 2016
HRRR Land Use
For reference, here is the land use in the HRRR model:
Categories are based on the MODIS 21 Category data set as indicated below:
1 Evergreen Needleleaf Forest
2 Evergreen Broadleaf Forest
3 Deciduous Needleleaf Forest
4 Deciduous Broadleaf Forest
5 Mixed Forests
6 Closed Shrublands
7 Open Shrublands
8 Woody Savannas
9 Savannas
10 Grasslands
11 Permanent Wetlands
12 Croplands
13 Urban and Built-Up
14 Cropland/Natural Vegetation Mosaic
15 Snow and Ice
16 Barren or Sparsely Vegetated
17 Water
18 Wooded Tundra
19 Mixed Tundra
20 Barren Tundra
21 Lake
Can find other MODIS landuse products here: http://webmap.ornl.gov/ogcdown/dataset.jsp?ds_id=10004&startPos=0&maxRecords=100&orderBy=category_name&bAscend=false
1 Evergreen Needleleaf Forest
2 Evergreen Broadleaf Forest
3 Deciduous Needleleaf Forest
4 Deciduous Broadleaf Forest
5 Mixed Forests
6 Closed Shrublands
7 Open Shrublands
8 Woody Savannas
9 Savannas
10 Grasslands
11 Permanent Wetlands
12 Croplands
13 Urban and Built-Up
14 Cropland/Natural Vegetation Mosaic
15 Snow and Ice
16 Barren or Sparsely Vegetated
17 Water
18 Wooded Tundra
19 Mixed Tundra
20 Barren Tundra
21 Lake
Can find other MODIS landuse products here: http://webmap.ornl.gov/ogcdown/dataset.jsp?ds_id=10004&startPos=0&maxRecords=100&orderBy=category_name&bAscend=false
Monday, October 17, 2016
The need for better Numerical Weather Prediction in the United States
There has been a lot of national attention on the weather community in the last few weeks due to Hurricane Mathew and the strong winds in the Pacific Northwest. Numerical weather prediction, the heart of our nations weather forecasting capabilities, provides invaluable information on weather that may disrupt economics, destroy property, and threaten human life.
There was a neat article on weather forecasting in the New York Times worth reading:
http://www.nytimes.com/2016/10/23/magazine/why-isnt-the-us-better-at-predicting-extreme-weather.html
Cliff Mass has perhaps been the most outspoken individual on our countries forecasting capabilities. In summary, he says we can do much better. And that is something I believe, too. Seems to me we do a great job as it is, but there is a lot of room for improvement.
The evolution of numerical weather prediction, I think, is much like the evolution of Nintendos Super Mario video games.
The game from the 80s was a lot of fun to play. It's was a classic. But today's Mario has evolved into a high-definition character who can move in more ways than just up/down/left/right. I feel Numerical Weather Prediction is evolving in the same way, with increased resolution so that more features can be shown, and there are increasing capabilities in the models being explored. With continued development, our countries forecasting capabilities will turn from a "fun game" into an outstanding weather forecast system.
There was a neat article on weather forecasting in the New York Times worth reading:
http://www.nytimes.com/2016/10/23/magazine/why-isnt-the-us-better-at-predicting-extreme-weather.html
Cliff Mass has perhaps been the most outspoken individual on our countries forecasting capabilities. In summary, he says we can do much better. And that is something I believe, too. Seems to me we do a great job as it is, but there is a lot of room for improvement.
The evolution of numerical weather prediction, I think, is much like the evolution of Nintendos Super Mario video games.
The game from the 80s was a lot of fun to play. It's was a classic. But today's Mario has evolved into a high-definition character who can move in more ways than just up/down/left/right. I feel Numerical Weather Prediction is evolving in the same way, with increased resolution so that more features can be shown, and there are increasing capabilities in the models being explored. With continued development, our countries forecasting capabilities will turn from a "fun game" into an outstanding weather forecast system.
Monday, October 10, 2016
Hurricane Matthew: Buckets of Rain
Fayetteville, North Carolina, recorded nearly 15 inches of accumulated rain in a 24 hour hour period on October 8th. This large rain event was due to heavy rain from Hurricane Matthew. Below is the radar at 1620 UTC.
Volunteer weather rangers from the CoCoRaHS network shows the high rain totals in North Carolina, especially Cumberland County.
My dad was on a trip in North Carolina, and his plane home was canceled because of the hurricane.
Volunteer weather rangers from the CoCoRaHS network shows the high rain totals in North Carolina, especially Cumberland County.
My dad was on a trip in North Carolina, and his plane home was canceled because of the hurricane.
Thursday, October 6, 2016
Tuesday, October 4, 2016
Meteorology for Chocolate
Good news article about why M&M/Mars employees a team of meteorologists.
http://www.businessinsider.com/mars-chocolate-hires-meteorologists-to-deal-with-climate-change-2016-9
http://www.businessinsider.com/mars-chocolate-hires-meteorologists-to-deal-with-climate-change-2016-9
Thursday, September 29, 2016
BFlat: New Weather Station at Bonneville Raceway
The MesoWest research group at the University of Utah set up a new weather station at the Bonneville Salt Flats speedway. The data from this weather station will be used to help study how the salt flats change over time.
The data can be viewed here: http://mesowest.utah.edu/cgi-bin/droman/meso_base_dyn.cgi?stn=BFLAT
The Bonneville Speedway is famous for the land speed records that are recorded there. Racing season is in the summer, when the salt flats are dry.
Today, the salt flats were wet. We had a lot of rain last Thursday. All that rain flowed downhill and pooled on the raceway.
The water at the end of the paved road was about a foot deep. The site for the weather station was three miles off the road. We didn't want to take out truck out there. Lucky, the BLM had an all terrain vehicle to ferry us and our equipment to the station site.
There were a bunch of tourists out to see the salt flats, and then wondering what the heck we were doing out in the water.
The three mile drive in the salt water took about 20 minutes to get to the site. Where the station was located there was less than a half inch of water. But the water was like a mirror. I got a sunburn, and some good pictures of the mountains and sky reflecting in the water.
On the drive back, I was sitting on the outside of the UTV, in the splash zone. After my pants dried, the right leg was white with salt. My face was also speckled. My lips sure were salty.
The salt got everywhere. The UTV was covered and someone managed to get us back to our truck without dying on us. It did have a lot of trouble. The salt water would spray up in the air intake and deposit there. It would also hit the exhaust system and the water would vaporize, leaving the salt behind caking the pipes. On the way back the tail pipe was almost completely closed off by salt. I wonder how much CO I breathed that day
Monday, September 26, 2016
Fall Mountain Snow
Outside my apartment is Mount Timpanogos. It has snow on it.
In fact, there is a lot of snow in the mountains across northern Utah. This is the Terra satellite image from September 25, 2016
In fact, there is a lot of snow in the mountains across northern Utah. This is the Terra satellite image from September 25, 2016
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