October 17, 2012 fog over Wisconsin

Let’s examine the synthetic low cloud / fog product from the 4-km NSSL WRF-ARW model.  This is from the 0000 UTC 17 October run valid between 0900-1600 UTC 17 October:

http://rammb.cira.colostate.edu/templates/loop_directory.asp?data_folder=training/visit/loops/17oct12_syn_fog&image_width=1020&image_height=900

Low cloud / fog is depicted as blue in this color table, with mid- to high level clouds being black / dark grey.  Early in the loop, note the region of blue (low cloud / fog) in northern Wisconsin.  As the loop progresses, this region quickly becomes obscured by mid- to high level clouds that are moving eastward.  It’s unclear when this low cloud / fog is forecast to dissipate in northern Wisconsin due to the higher levels clouds obscuring what is happening at lower levels.

When you come across a situation such as this, one option to get around this issue is to use the NSSL WRF-ARW experimental fog product.  This is simply the model output of cloud liquid water at the lowest vertical level in the model.  Here is the loop from 0900-1800 UTC, with cloud liquid water depicted as blue:

http://rammb.cira.colostate.edu/templates/loop_directory.asp?data_folder=training/visit/loops/17oct12_exp_fog&image_width=1020&image_height=900

Fog can be inferred from the blue regions we observe in this loop.  We avoid the issue of obscuration of higher level clouds, and we may also discriminate between low cloud and fog (as forecast by the model).

Another option for fog identification is the GOES-R Fog / Low Stratus Product from CIMSS.  This product uses a blend of satellite imagery and 00 hour forecast model output (from the RAP, except it uses the GFS over oceans beyond the RAP domain)  to assign a probability of fog.  This differs from the previous experimental fog product above which is solely model output, run out to a longer forecast time.  The following loop is the GOES-R FLS product for IFR fog:

http://rammb.cira.colostate.edu/templates/loop_directory.asp?data_folder=training/visit/loops/17oct12_goes-r_fls&image_width=1020&image_height=900

The color bar is given as a percentage, so that greater percent probability of IFR fog exists in the orange to red colors.  The visibility (bottom number, miles) and ceiling (top number, hundreds of feet AGL) observations are also overlaid so that locations of fog correspond to the regions of low visibilities.  Note the regions of orange and red in northern Wisconsin indicating higher probabilities of fog which would cause IFR conditions, this closely corresponds to the observed fog from the observations.

For more detailed information on either the GOES-R fog / low stratus product, or the synthetic low cloud / fog product, see the training session from VISIT:

http://rammb.cira.colostate.edu/training/visit/training_sessions/

Posted in GOES Low Cloud / Fog Imagery, Synthetic NSSL WRF-ARW Imagery | Comments Off on October 17, 2012 fog over Wisconsin

Synthetic low cloud / fog imagery to forecast stratus

The synthetic low cloud / fog product from the NSSL WRF-ARW model has a variety of forecasting applications.  One of those is forecasting the development of stratus clouds.

The NWS forecast office in Austin / San Antonio made use of this product for the above mentioned application on September 23:

AREA FORECAST DISCUSSION

NATIONAL WEATHER SERVICE AUSTIN/SAN ANTONIO TX

626 PM CDT SUN SEP 23 2012

AVIATION…

CONVECTION ALONG THE SEA-BREEZE BOUNDARY WILL REMAIN SOUTH OF KSSF AND KSAT AND WILL DISSIPATE AFTER SUNSET WITH THE LOSS OF DAYTIME HEATING. OTHERWISE THE CU FIELD THIS AFTERNOON IS AN INDICATION OF INCREASING LOW LEVEL GULF MOISTURE ACROSS SOUTH CENTRAL TEXAS. THE 18Z NAM X-SECTIONS DEPICT GOOD MOISTURE BELOW 925MB AT KSAT AND KSSF BUT SHALLOWER AT KAUS AND SOMEWHAT DRIER AT KDRT. THE 12Z CIRA WRF SIMULATED FOG/LOW CLOUD PRODUCT IS VERY BULLISH ON STRATUS FORMATION OVERNIGHT. WE HAVE HAD GOOD RESULTS WITH THIS EXPERIMENTAL PRODUCT AND THE TERMINAL FCSTS WILL BE BASED ON ITS SOLUTION. MVFR CIGS WILL REACH KSSF AROUND 09Z…KSAT AT 0930Z AND KAUS BY 12Z. THE STRATUS WILL ALSO SPREAD WESTWARD REACHING KDRT BY 13Z. THE STRATUS WILL LIFT AND MIX OUT WITH VFR CONDITIONS PREVAILING BY 16Z.

Here is the synthetic low cloud / fog product that is the discussed above:

http://rammb.cira.colostate.edu/templates/loop_directory.asp?data_folder=training/visit/loops/24sep12_syn_fog&image_width=1020&image_height=730

In this color table, low cloud / fog shows up as blue.  The expanding blue region over southern and central Texas corresponds to the model forecasting the development of low cloud / fog.

As verifying observations, we will make use of the GOES low cloud / fog product with corresponding visibility (bottom number, miles) and ceiling (top number, hundreds of feet AGL) observations:

http://rammb.cira.colostate.edu/templates/loop_directory.asp?data_folder=training/visit/loops/24sep12_sw_albedo&image_width=1020&image_height=730

In this color table, low cloud / fog corresponds to the grey / dull white region in south / central Texas.  The stratus clouds were forecast over approximately the same area in Texas that was forecast by the model, and dissipation commencing at about the same time (around 16 Z)

The real-time imagery described above can be found on the GOES-R Proving Ground Real-time Products page.

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Synthetic Satellite Imagery evaluated at SPC

As part of NOAA’s Hazardous Weather Testbed Spring Experiment at the Storm Prediction Center, CIRA is delivering 3 synthetic imagery products to be evaluated in the Experimental Warning Portion of the experiment in their AWIPS-II system: 6.95 micrometers, 10.35 micrometers, and the 10.35 – 12.3 micrometer difference product.  Chris Siewert is hosting a separate blog and regularly adding posts with details on how the products are being evaluated.  Those entries can be found here: http://goesrhwt.blogspot.com/search/label/Simulated%20Satellite%20Imagery

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ORI product for 18-20 December 2010 massive California rain event

A period of extremely heavy rain and massive higher elevation snow hit California and other portions of the West during mid-December 2010.  Here we take a look at the ORI product for a portion of this storm, concentrating on Central and then Southern California.  The ORI (for Orographic Rain Index) product is designed to indicate to forecasters where there is short-term (0-3 hours) potential for heavy orographic rain. The product has a horizontal resolution of approximately 1 km.

Three data sources are used to create the ORI product:

  1. Blended Total Precipitable Water (TPW) from CIRA, which indicates the strength and location of atmospheric rivers impinging on the U.S. West Coast,
  2. GFS 850 mb winds (V), which are used to advect the water vapor to a forecast time (every 3 hours), and
  3. USGS Global 30 Arc-Second Elevation Data (GTOPO30) terrain elevations (H) (horizontal resolution of approximately 1 km).

The CIRA TPW product is derived from water vapor measurements from various non-GOES sensors/satellites to determine Total Precipitable Water.  In the future GOES-R will provide these measurements, so this is why the ORI product represents an application that will be available in the GOES-R era.  More information on the ORI product can be found in the CIRA ORI Product Description, which is available at http://rammb.cira.colostate.edu/research/goes-r/proving_ground/cira_product_list/.

This event was a classic “atmospheric river” type with a long fetch of Pacific moisture aimed at California.  An IR image shown below in Figure 1 near the beginning of the event illustrates this extensive moisture plume, with the first wave of the event about to come onshore.

Figure 1.  IR image overlaid with a GFS 500 mb analysis at 0000 UTC on 18 Dec 2010.

As noted earlier, the precipitation totals for this event were quite large.  The 7-day accumulated precipitation estimate shown in Figure 2 illustrates this, with a large area in the 10 to 20 inch range.  Topography played a huge role, as it typically does in such events.  Details of the terrain for the scale of some of the images to be shown are shown in Figure 3.

Figure 2.  Estimated 7-day total precipitation ending 1200 UTC 20 Dec 2010.

Figure 3.  Details of the terrain are shown in these two images.  The radar and ORI images shown below are on the scale of the zoomed in image on the right.

The next few images show a demonstrate the ORI product as the first wave of heavy precipitation moved inland for four different times from 0600 UTC through 1500 UTC. All of the images are taken from an AWIPS display localized for the Monterey WFO.   For each time a comparison is made between the ORI product and what the radar reflectivity looked like for an area centered on Central California.  The bottom images for each time are zoomed into the area that is depicted on the right side of Figure 3.  The ORI image is shown in the lower left panel, with the same ORI field combined with a topography image next to it.  For the 0900 UTC time an additional radar image is shown on this same scale.

As forecasters know, radar can have a tough time resolving precipitation in regions of complex topography.  The beauty of the ORI product is that it focuses specifically on topography and how it influences the impinging moisture field, as determined by the TPW, and as influenced by the flow driving this moisture into the higher terrain.  This is nicely seen in the images below.  One of the downsides to the ORI product from the forecaster standpoint is that the ORI value is an index and not a precipitation measurement.  Further experience by forecasters with the ORI product will help to determine how the ORI values relate to significant precipitation amounts that will help to improve its usefulness for nowcasting.  As discussed in the ORI Product Description, some guidance on ORI values based roughly on the work of Nieman et al. 2008 (J. Hydrometeorology, 9, 22-47) are: 50 kg s-1 m-1 (the units of ORI) are set as a threshold below which no rain is likely, while a value of 250 kg s-1 m-1 which definitely deserves the forecaster’s attention. (Maximum values are probably in the 500 kg s-1 m-1range.)  In the example below, ORI increases to a value above 200 in the region highlighted by the white oval by 0900 UTC, then falls off as the heavier precipitation moves further inland.

Figure 4.  ORI comparison for 0600 UTC on 18 December.  The scale of the two bottom images are the same as the zoomed in image shown in Figure 3.

Figure 5.  ORI comparison for 0900 UTC on 18 December.

Figure 6.  ORI comparison for 1200 UTC on 18 December.

Figure 7.  ORI comparison for 1500 UTC on 18 December.

Further details on this case will be forthcoming, but it is hoped that additional examples can be added to the blog from cases yet to come as the rainy season (finally) gets under way.

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Low cloud/fog example from Boulder WFO case from AWIPS on 9 December 2010

GeoColor and Low cloud/Fog GOES-R Proving Ground imagery from CIRA has been available at the Boulder WFO for several years.  After feedback from the forecasters, recently GeoColor imagery without the city lights was added.  This example shows both types of GeoColor imagery along with the Low Cloud/Fog product for a case of expanding low clouds and fog that eventually moved over the Denver International Airport (DIA) during the night into the early morning hours of 9 December 2010.  Images for several different times, with comments, are shown below.

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Cloud over snow example on 30 November 2011 from Buffalo WFO using MODIS imagery

Buffalo WFO SOO David Zaff collected this imagery from one of the forecasters, Robert Hamilton, who sent him the following message: “I found it very interesting to see snow cover on the basic IR imagery late this afternoon, so I have attached both the IR and VIS imagery from 19z.  ‘Sampling’ over the snow cover on the IR imagery, I was getting consistent temps of -2 to -3c, and when I moved off the snow cover to the dry land, I was getting readings of +2 to +3c.

After showing Paone (another forecaster), he went into the MODIS imagery and noted how well it was shown in both the Cloud/Snow Discriminator image and the Cloud Layer/Snow Discriminator image.”

Figure 1.  The images saved by the Buffalo WFO have been assembled here in a 4-panel for comparison, with the oval highlighting the snow cover discussed in the above quote. Shown is a visible (upper left) and IR image (upper right), both at 1900 UTC, CIRA MODIS Cloud/Snow Discrimination Image at 1625 UTC (lower left), and MODIS Cloud Layer/Snow Discrimination Image at 1803 UTC (lower right).

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Synthetic IR imagery showing fog/low clouds from BOU WFO on 8 November 2011

This example from the Boulder WFO shows the use of synthetic IR imagery generated from the 4-km horizontal grid resolution NSSL WRF model for predicting an area of fog and low clouds near the Denver International Airport (DIA) on the morning of 8 November 2011.  The WRF model is run daily at 0000 UTC, and the ultimate purpose of the synthetic imagery is to use it to replicate realistic-looking imagery that represents some of the new GOES-R channels.  Building forecaster confidence in using this new type of output from a numerical model as well as the ability of the model post-processing to generate realistic-looking satellite imagery is an important step towards ultimately using synthetic imagery to test GOES-R products.

In this case the synthetic IR imagery replicates the 10.35 micron channel, the current GOES IR channel available on AWIPS.  Boulder WFO forecaster Scott Entrekin, the local Aviation Focal Point, saved this example.  He noticed that the synthetic IR imagery predicted an area of low clouds that threatened DIA for the hours near sunrise into the morning.  DIA of course is an important Terminal Aviation Forecast (TAF) site, and this type of output is potentially useful for helping with such forecasts.

Figure 1a.  Synthetic IR image over eastern Colorado (the Boulder WFO forecast area is within the area covered by this image) valid at 1400 UTC.  The rectangle encloses some of the low cloud area and is included for reference to Figure 1b, which is at a different scale.  Aviation observations are shown from the METAR sites (key: cloud fraction shown next to ceiling height (AGL, in hundreds of feet), weather on the right side, and visibility (in miles) the bottom number), and the arrow points to DIA.

Figure 1b.  Actual visible image for 1415 UTC with aviation observations.  The rectangle shown covers approximately the same area as in Fig. 1a.  Scott noted how the low clouds seen in the visible imagery compare favorably to the low clouds indicated in the synthetic imagery shown in Figure 1a.  At 1400 UTC DIA was near the western edge of the area of low clouds and fog, and reported a 4 mile visibility in light fog, with scattered clouds at 3700 and 12000 feet.

Figure 2a.  Synthetic IR image as in Figure 1a but for 1500 UTC.

Figure 2b.  Visible image for 1500 UTC with aviation observations.  As in the comparison at 1400 UTC, the low cloud area depicted in the synthetic imagery compares favorably to low cloud and fog area seen in the visible imagery, although certainly not a perfect forecast.  Conditions at DIA had deteriorated by 1500 UTC, with 2 mile visibility in fog, scattered clouds at 300 feet, and broken clouds at 3500 feet.

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Synthetic Fog Product – November 19/20, 2011 example

This blog entry will look at an example of the synthetic fog product (from the 4-km NSSL WRF-ARW model) for an event that took place during the overnight hours of November 19 to 20, 2011.

Here is the synthetic fog product during the overnight hours:

http://rammb.cira.colostate.edu/templates/loop_directory.asp?data_folder=training/visit/loops/19nov11_syn_fog

There is southerly flow advecting moisture from the Gulf of Mexico northward.  The increasing moisture, in combination with nighttime cooling leads to the development of a large area of stratus clouds across the Plains from Texas to Nebraska and eastward across the southeast states.  This enhancement will depict regions of low-level clouds in the blue colors.  Note that the imagery from 0000-08000 UTC is based on the 0000 UTC November 18 model run, and the imagery between 0900-1200 UTC is based on the 0000 UTC November 19 model run.  There is a discontinuity between 0800 and 0900 UTC for this reason, but the trend in the low-level clouds as discussed earlier is still valid.

Let’s assess how well the model forecast was.  We’ll look at the GOES Low Cloud / Fog product (also known as the shortwave albedo product):

http://rammb.cira.colostate.edu/templates/loop_directory.asp?data_folder=training/visit/loops/19nov11_sw_albedo

In this color table, low-level clouds / fog are depicted by the lighter / white colors.  High-level clouds are darker / black and color enhanced above a temperature threshold.  The model did a pretty good job with the development of low-level stratus across the Plains and into the southeast.  Fog can be assessed by looking at surface observations (not shown).

The key to remember here is that this product aids in visualization.  Model fields of relative humidity could have yielded the same conclusions, however by looking at a forecast model field of something you’re already familiar with for diagnosing stratus / fog (i.e., the GOES fog product), it offers a different perspective on assessing the possibility of low-level stratus / fog during the forecast period of interest.

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