NOAA and NWS Officials Visit Norman, HWT-Hydro Experiment

Dr. JJ Gourley explains the HWT-Hydro experiment to NWS Director Dr. Louis Uccellini and NOAA Deputy Under Secretary Vice Adm. Michael Devany
Dr. JJ Gourley explains the HWT-Hydro experiment to NWS Director Dr. Louis Uccellini and NOAA Deputy Under Secretary Vice Adm. Michael Devany

On Wednesday, July 16, 2014, HWT-Hydro received a visit from NOAA Deputy Under Secretary Vice Adm. Michael S. Devany and National Weather Service Director Dr. Louis W. Uccellini. They were visiting Norman to see how research-to-operations (R2O) activities are conducted within the various NOAA units housed in the National Weather Center. Both officials discussed the ongoing efforts to align research activities at NSSL with the operational needs of the NWS. Dr. Uccellini described methods of easing the eventual R2O transition of the FLASH suite of forecast tools with the experiment’s principal investigator, Dr. JJ Gourley. Dr. Gourley also took the opportunity to explain how the various components of the FLASH product suite work in unison to give forecasters a view of heavy precipitation and flooding issues. Vice Adm. Devany and Dr. Uccellini visited during the middle of an experimental forecasting shift, where week 2 HWT-Hydro participants were monitoring potential flash flooding impacts in the High Plains and the Intermountain West. Week 2 participants are Britt Westergard (NWS Albany NY), Laura Belanger (NWS Peachtree City GA), Amanda Schroeder (NWS Fort Worth TX), and Jeff Waldstreicher (NWS Eastern Region).

Experimental activities have also attracted the attention of local media in central Oklahoma. Oklahoma City’s Fox affiliate, KOKH, aired a story about the experiment on Thursday, July 10. The KOKH story is available here: http://www.okcfox.com/story/25990371/forecasters-test-technology-to-better-predict-flash-floods.

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Flash Flood Observations and HWT-Hydro Verification

One of the most intractable problems facing those who issue flash flood warnings and watches is verification. The term “flash flooding” means different things to different people, so observing these events is distinct from, say, observing a tornado. Most people immediately know what a tornado is but do you immediately know what a flash flood is? It’s okay if you answered “no”! We recognize that different strategies exist for locating and classifying flash floods. In an effort to be as comprehensive as possible, the HWT-Hydro experiment is including observations from several distinct sources.

USGS Stream Gauges

Automated systems can provide useful information in these situations. USGS stream gauges automatically measure stream height (or “stage”) at over 16,000 sites across the United States every 15 minutes. At these sites, cross sectional information about the river channel is known and so these stage measurements can be converted into stream flow estimates. Additionally, the USGS and its partner agencies know enough about these locations to estimate the relative rarity (or “return period) of a particular flow, and at some locations, the National Weather Service has assigned flood stages corresponding to specific impacts at specific stream height levels. On flash.ou.edu, blue triangles mark stream gauge locations where the NWS “Action Stage” stage height has been exceeded by the gauge, the stream height has risen by a significant level in a short period of time, or the USGS estimated 2-year return period flow has been surpassed. These USGS observations are being fed to the FLASH system and the HWT-Hydro experiment by our partners at the NCEP Weather Prediction Center’s FFaIR experiment. The downside of USGS observations should already be clear: what happens if there’s a flood in an ungauged location? The answer to this question means we must seek out additional sources of information.

Local Storm Reports

The NWS operates 122 Weather Forecast Offices across the country, each of which is responsible for a set of counties, parishes, or boroughs. These offices issue flash flood watches and warnings as necessary. They also collect reports of flash flooding and other phenomena (called Local Storm Reports, or LSRs) because as forecasters, they have a vested interest in determining if a given watch or warning was successfully verified by on-the-ground conditions. So if they don’t receive reports volunteered by the public, broadcasters, social media, or local government officials, they will call known sources inside a watch or warning until they determine if flooding actually occurred. The NWS is responsible for the whole US so the LSRs should be nearly comprehensive but there are caveats to this: many areas with low or no population density will lack appropriate LSRs and in areas where no warning is issued there still could have been flash flooding. Outside of these warning polygons, if no one bothers to report impacts to their local NWS office no LSR will be issued. On the flash.ou.edu website, LSRs are represented by reddish-brown circles. They can be moused over to see the date and time at which the report was issued (in UTC) as well as the text describing the nature of the flash flooding impact.

Example of LSR from south-central Tennessee for the evening of 8 July 2014
Example of LSR from south-central Tennessee for the evening of 8 July 2014

mPING

Some folks may experience flash flooding but can’t, don’t know how, or don’t want to report this via phone to local officials or to their local NWS office. However, as smartphones proliferate, useful weather information can be garnered via crowd sourcing. One of the leading projects in this field was developed at the National Severe Storms Laboratory and the University of Oklahoma — mPING. mPING allows geolocated smartphone owners to report the type of precipitation or severe weather impact (including flash flooding) occurring at their location. This data is used by scientists at OU and NSSL, as well as NWS forecasters and others. All reports can be accessed via the mPING website and flash flooding reports in particular can be accessed via the FLASH website, where they appear as purple equilateral triangles. A report of flash flooding can fall into one of four possible impact classes in the mPING app, ranging from nuisance and minor flooding all the way up to deadly or damaging flooding. Remember, safety comes first when using mPING. Never drive into flooded roadways or walk into floodwaters! The free mPING app is available for iOS devices and Android devices from the Apple App Store or the Google Play Store, respectively.

SHAVE

One final source of observations is unique to the HWT-Hydro project. As part of the support provided to the program by the US Weather Research Program, we have hired two callers to work as part of NSSL’s 2014 SHAVE project. As our forecast participants and other guests issue experimental watches and warnings each afternoon and evening, SHAVE callers will use a national database of landline telephone numbers mapped to addresses to call people residing within and near these experimental products and give them telephone surveys about flash flooding impacts in and near their areas. These reports thus provide an extremely dense storm focused set of observations. On flash.ou.edu, SHAVE reports will appear as small squares. Those surveys where the respondent reported no flash flooding will appear in gray. Respondents reporting flash flooding will appear in blue.

Verification

Early each afternoon, HWT-Hydro participants will look back at the products they issued the afternoon before. They will evaluate the skill and usefulness of forecast tools and the utility of the various types of observations described above. Yesterday our forecasters split into two areas: one pair focused on Tennessee, Arkansas, and the surrounding area, while the other pair worked in the Desert Southwest with the ongoing monsoon.

Evaluation (valid 8 PM CDT on July 8) of FLASH Max Return Period product and experimental watches (north of blue line) and warnings (in orange) in western Tennessee. Operational warnings are in white. LSRs are shown by circles and SHAVE reports by squares. Note that our forecasting shift ends at 8 PM before the operational warnings in southern Tennessee would have been necessary. Our forecasters felt great about their experimental watch and the westernmost of the two experimental warnings shown. The Max Return Period product successfully identified the lesser threat in the eastern experimental warning (note that all the SHAVE reports in that box are reports of no flooding).
Evaluation (valid 8 PM CDT on July 8) of FLASH Max Return Period product and experimental watches (north of blue line) and warnings (in orange) in western Tennessee. Operational warnings are in white. LSRs are shown by circles and SHAVE reports by squares. Note that our forecasting shift ends at 8 PM before the operational warnings in southern Tennessee would have been necessary. Our forecasters felt great about their experimental watch and the westernmost of the two experimental warnings shown. The Max Return Period product successfully identified the lesser threat in the eastern experimental warning (note that all the SHAVE reports in that box are reports of no flooding).

 

Verification of 8 July 2014 3-hour precipitation accumulation return period product with the same symbology as above. Note that the LSRs tend to occur within and around operational warnings because these are the areas mostly likely to be called by the forecasters issuing the warnings. SHAVE reports are difficult to come by in the west due to a relative lack of population density and telephone numbers to call!
Verification of 8 July 2014 3-hour precipitation accumulation return period product with the same symbology as above. Note that the LSRs tend to occur within and around operational warnings because these are the areas mostly likely to be called by the forecasters issuing the warnings. SHAVE reports are difficult to come by in the west due to a relative lack of population density and telephone numbers to call!
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HWT-Hydro Operations Commence

The inaugural Hazardous Weather Testbed Hydrology (HWT-Hydro) experiment began today at the National Weather Center in Norman OK. This experiment will explore uses of the FLASH suite of flash flood and heavy rainfall products. Participants will be asked to use these products to issue experimental flash flood watches and warnings; these will include information about the likelihood or uncertainty of a given impact as well as the severity of expected impacts. Novel sources of flash flood observations, including the mPING mobile application and SHAVE phone calls, will be used to assess the effectiveness of the experimental tools and the experimental watches and warnings.

Two forecasters a week are participating in the experiment, with funding provided by the US Weather Research Program. This week’s forecasters are Mike Moneypenny (NWS Forecast Office Raleigh NC) and David Ondrejik (NWS Middle Atlantic River Forecast Center). Joining them are guests Chris Legro (NWS Forecast Office Gray ME) and Jonathan Brazzell (NWS Forecast Office Lake Charles LA).

Each day of the experiment will begin with a weather briefing from the Flash Flood and Intense Rainfall Experiment at the NCEP Weather Prediction Center in College Park MD. Then forecasters will spend time evaluating the performance of the experimental forecast tools and observations from the previous day’s shift. Forecasters will then issue flash flood watches and warnings as necessary, typically from 3 PM to 8 PM CDT, Monday through Thursday. This “virtual forecast office” will cover the entire Lower 48.

Today’s areas of focus can be broadly divided into three main components: the summer monsoon in the Desert Southwest, a complex of strong to severe convection in the middle Mississippi River and Ohio River valleys, and rain across the Middle Atlantic into the Northeast. As I type, our forecasters have already issued an experimental watch and two experimental warnings for afternoon storms in the Southwest (see below for these experimental products overlaid on state/national boundaries and 6-hr MRMS rainfall estimates). More frequent updates can be found by following the experiment on Twitter at @HWTHydro.

CAVEDrawing

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