Thursday, May 28, 2020   |   Critical Weather, Uncategorized

Stay Ahead of the Game with a Fully Integrated Hydrometeorological Network

Prepare and Respond to Severe Weather Better with a Complete End-to-end Solution

 

Hydrometeorological organizations worldwide are faced with a number of increasingly difficult challenges. In addition to the sheer magnitude of threats posed by extreme weather events, agencies are looking to increasingly leverage detection and communications technologies not only for more accurate forecasting and nowcasting operations, but also to more effectively alert and inform the public.

A fully integrated meteorological network (example illustrated below) meets these challenges in a number of ways. A typical complete solution from Baron incorporates data inputs from a host of sources, enabling network-wide distribution of radar imagery and analysis; generating forecast models for a host of applications; performing radar-derived value-added processing, and more. Each of these solutions can be provided as a standalone system, or integrated into the customer’s legacy network using a unique level of integration capability.

(Figure 1)
Flooding Applications

Hydrologic events like the European floods of 2016 cost billions of Euros in damage, and frequently result in the loss of life. In Romania, Baron and its partners have constructed a nationwide network for forecasting and monitoring of destructive waters—from data acquisition and modeling to integration and redistribution—complemented by the detection and integration capabilities implemented during the earlier construction of the country’s integrated meteorological network. Forecast models, weather radar, river gauges and more inputs are used to generate this information. Collectively, these systems are tied together to track conditions, and provide flooding guidance and early warning for Romanian hydrological and meteorological authorities, at national and sub-basin scales.

With the NEXRAD program in the United States, Baron data scientists have developed a suite of single-site and composite radar data products for more accurate monitoring of precipitation rates and accumulations. The most recently developed dataset provides meteorologists with accurate radar-derived rain accumulations for the past 1, 3, 6, 12 and 24 hours (Figure 2). Updated every 4 minutes and delivered in 1km resolution, these products deliver a comprehensive network-wide rainfall composite, using every radar data input available in the network.



(Figure 2)
Hail Forecasting

An assessment conducted by the European Environment Agency in 2017 found that model-based studies for central Europe show some agreement that hailstorm frequency will increase in the region. That same year, major hailstorms in Spain, Croatia and Turkey emphasized the widespread damage these events can create.

Hail detection has traditionally been performed by monitoring for reflectivity spikes within a convective thunderstorm. Dual-polarization technology has enabled significant improvements through raw moments alone, but particularly when value-added processing is applied. In the US, Baron has engineered value-added data products for hail detection and tracking, which are generated by sampling a storm with dual-polarization radar, in this case a NEXRAD station, at multiple elevations. The resulting volumetric data package is evaluated to automatically identify hail’s non-uniform shape, moderate Correlation Coefficient values, and near-zero Specific Differential Phase.

Detected hail is then depicted on the display workstation, isolated from surrounding rainfall. Additionally, processing can be applied to create a 1-hour composite of dual-pol hail data (Figure 3), allowing meteorologists to track the path of hail, providing enhanced situational awareness and aiding in post-storm response.


a swath of hail damage
(Figure 3)
Winter Weather

For winter weather events, such as the 2018 Great Britain and Ireland cold wave, organizations need critical weather intelligence for the accurate prediction of life-threatening winter events, prompting shelter openings, increased public transit, and general weather awareness.

Numerical weather prediction, such as the Baron Model, is essential in projecting the movement and intensity of wintertime temperatures, precipitation, cloud cover and more. In the US, Baron also produces a unique road weather model (Figure 4), allowing organizations dependent on road travel, such as emergency management and transportation departments, with greater pre-event information on an event’s likely impact on roadways. This information is typically distributed through a secure web portal, allowing authorized users throughout an organization access to accurate information.

A new suite of nationwide snow accumulation products based on NEXRAD data has recently been made available in the US, as well (Figure 5). Providing 1km resolution and 4-minute update cycles, the wider range of these national-scale products gives forecasters a larger range from which to evaluate winter weather’s impacts throughout their regions of responsibility.

(Figure 4)

(Figure 5)

Damaging Winds

A study published in 2014 by researchers from the European Severe Storms Laboratory confirmed that an average of 278 tornadoes and 205 waterspouts occurs annually across Europe. Despite this, only 7 of 39 European weather services have a tornado alerting procedure in place.

Radar-derived wind shear detection such as the techniques developed by Baron automatically identify rotating winds that can lead to tornadoes, depicting the location of these signatures (Figure 6) via a circular icon, and giving the meteorologist instant awareness of an area warranting further manual inspection, typically of velocity and dual-pol products. Another radar-derived product, Baron Shear Rate, displays the rate of speed change in wind patterns, helping meteorologists locate areas where tornadic and downburst development may be occurring. A one-hour composite called Baron Shear Swath (Figure 7) allows forecasters to track the movement of circulating winds throughout the region with extreme accuracy.

Additionally, dual-pol radar information is also used in an automated manner to search for suspected tornado debris—trees and structures, for example, thrown aloft by the rotating winds—and indicating the position of any concerning signatures on the map.


(Figure 6)

(Figure 7)

Visualization Applications

For visualization, distributed display workstations provide personnel throughout the decision chain with continuous access to the same information. With Baron-provided installations, visualization of these data products and others is achieved through the Baron Lynx display workstation. Single or multiple workstations can be deployed, allowing meteorologists throughout the network to view radar information, and perform pathcasting and advanced analysis using value-added data products, volumetric imagery and RHI analysis (Figure 8). The Lynx system may also be used for internal and public-facing weather briefings (Figure 9).

A web-based browser display can also be used for authorized users requiring mobility, or those with less meteorological training, making observations and analysis from the network to be distributed throughout the decision-making chain.


(Figure 8)

(Figure 9)

Alerting and Distribution Applications

Meteorological organizations globally are challenged to reach the largest possible number of people during critical weather events. Oftentimes, this must be achieved using very limited budgets and resources. A tightly integrated met network can help with this challenge by streamlining operations and facilitating outreach both within the network, and outside it to the general public.

Personnel may opt to use their network to not only predict and detect a dangerous approaching storm or flood situation, for example, but leverage the same tools to instantly distribute automated or manual alerts to the affected population. Residents will receive these notifications typically via SMS text message and app-based push notifications.
Automated processes continuously scan for dangerous weather conditions as detected by radar, such as rain, lightning, winter precipitation, hail cores and wind shear; the latter two alert types use volumetric radar scanning to create storm attribute tables and tracks from which these notifications are issued. Once any of these conditions are detected, alerts are automatically generated and distributed to residents in harm’s way (Figure 10). Custom push notifications manually entered by authorized officials can also be distributed to weather app users.



(Figure 10)
Conclusion

From weather prediction and detection to value-added analysis and the timely notification of affected populations, the advantages provided by fully integrated hydrometeorological networks allow organizations to be more efficient and effective in their operations.

Using radar and other sensors to drive models and value-added data products are an important piece of the bigger picture, but that picture extends to display, distribution and alerting, too. For example, with developing situations described in the sections above, all authorized personnel have continuous, immediate access to the same information, vital to the preservation of life and property, throughout the organization. When accurate information is widely dispersed to the greatest number of people, more informed decisions can be made, and in turn, more lives are saved.