NA24OARX021G0017
Project Grant
Overview
Grant Description
Purpose: A CON2NUOUS data processing system is proposed to transform the raw MAGNE2C field data produced by the EXIS2NG MAGSTAR magnetometer network into actionable, mission-relevant, and validated data products that can be used by all clients with interest in space weather condi2ons.
This system will be unique in its ability to produce informa2on that is both real-2me and validated.
Alerts that are produced while phenomena such as MAGNE2C storms are ac2ve, as well as digests that are generated directly afer such events will allow clients to consider space weathers effects on their own missions in an immediate way that currently does not exist.
The alerts and digests have the ability to be generated based on geographic informa2on, yielding localized informa2on that is relevant to the client and not a false alarm about a distant area of the country.
Architecture of this system will incorporate best prac2ces for long-running sofware services, such as hybrid cloud and on-premises deployment with containerized run2mes, ensuring a robust system that clients can count on for reliable delivery with no false posi2ves.
Clients will understand that space weather can be relevant to their mission, delivering informa2on in a 2mely and reliable manner that is local, usable, tracible, and correct.
SUN DOG SCIEN2FIC previously has developed a framework for CON2NUOUS data processing that can refine raw data into refined data products mul2ple 2mes per minute on a raw real-2me data stream.
This project will use this framework to process the MAGSTAR data in a produc2on-level environment.
Clients will be able to self-register for alerts and digests, and the deployed system will be sufficient to serve a few dozen such clients.
Although there will be technical innova2on in order to deliver this system, the main goal of the effort is to evangelize the availability of real-2me space weather informa2on and to start understanding how it is best delivered to the client community.
To this end, the ease of self-registra2on and reliability of the data products are important project goals, in order to gain an ini2al set of space weather informa2on consumers and understand their needs.
The electrical power u2li2es already have an interest in the hazards to their transmission line infrastructure due to MAGNE2C storms, including regula2on such as TPL-007.
The real 2me delivery of threats covered by this regula2on could be a tailored output of the system for a commercial applica2on.
This system will be unique in its ability to produce informa2on that is both real-2me and validated.
Alerts that are produced while phenomena such as MAGNE2C storms are ac2ve, as well as digests that are generated directly afer such events will allow clients to consider space weathers effects on their own missions in an immediate way that currently does not exist.
The alerts and digests have the ability to be generated based on geographic informa2on, yielding localized informa2on that is relevant to the client and not a false alarm about a distant area of the country.
Architecture of this system will incorporate best prac2ces for long-running sofware services, such as hybrid cloud and on-premises deployment with containerized run2mes, ensuring a robust system that clients can count on for reliable delivery with no false posi2ves.
Clients will understand that space weather can be relevant to their mission, delivering informa2on in a 2mely and reliable manner that is local, usable, tracible, and correct.
SUN DOG SCIEN2FIC previously has developed a framework for CON2NUOUS data processing that can refine raw data into refined data products mul2ple 2mes per minute on a raw real-2me data stream.
This project will use this framework to process the MAGSTAR data in a produc2on-level environment.
Clients will be able to self-register for alerts and digests, and the deployed system will be sufficient to serve a few dozen such clients.
Although there will be technical innova2on in order to deliver this system, the main goal of the effort is to evangelize the availability of real-2me space weather informa2on and to start understanding how it is best delivered to the client community.
To this end, the ease of self-registra2on and reliability of the data products are important project goals, in order to gain an ini2al set of space weather informa2on consumers and understand their needs.
The electrical power u2li2es already have an interest in the hazards to their transmission line infrastructure due to MAGNE2C storms, including regula2on such as TPL-007.
The real 2me delivery of threats covered by this regula2on could be a tailored output of the system for a commercial applica2on.
Awardee
Funding Goals
18 CLIMATE ADAPTATION AND MITIGATION 19 WEATHER-READY NATION 20 HEALTHY OCEANS 21 RESILIENT COASTAL COMMUNITIES AND ECONOMIES
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Erie,
Colorado
805162586
United States
Geographic Scope
Single Zip Code
Related Opportunity
SUN Dog Scientific was awarded
Project Grant NA24OARX021G0017
worth $174,788
from National Oceanic and Atmospheric Administration in August 2024 with work to be completed primarily in Erie Colorado United States.
The grant
has a duration of 5 months and
was awarded through assistance program 11.021 NOAA Small Business Innovation Research (SBIR) Program.
The Project Grant was awarded through grant opportunity NOAA SBIR FY 2024 Phase I.
SBIR Details
Research Type
SBIR Phase I
Title
A REAL-TIME SPACE WEATHER ALERT AND ANALYSIS SYSTEM
Abstract
A continuous data processing system is proposed to transform the raw magnetic field data produced by the existing MagStar magnetometer network into actionable, mission-relevant, and validated data products that can be used by all clients with interest in space weather conditions. This system will be unique in its ability to produce information that is both real-time and validated. Alerts that are produced while phenomena such as magnetic storms are active, as well as digests that are generated directly after such events will allow clients to consider space weather’s effects on their own missions in an immediate way that currently does not exist. The alerts and digests have the ability to be generated based on geographic information, yielding localized information that is relevant to the client and not a “false alarm” about a distant area of the country. Architecture of this system will incorporate best practices for long-running software services, such as hybrid cloud and on-premises deployment with containerized runtimes, ensuring a robust system that clients can count on for reliable delivery with no false positives. Clients will understand that space weather can be relevant to their mission, delivering information in a timely and reliable manner that is local, usable, tracible, and correct.
Topic Code
9.5
Solicitation Number
NOAA-OAR-TPO-2024-2008184
Status
(Complete)
Last Modified 3/5/25
Period of Performance
8/1/24
Start Date
1/31/25
End Date
Funding Split
$174.8K
Federal Obligation
$0.0
Non-Federal Obligation
$174.8K
Total Obligated
Activity Timeline
Transaction History
Modifications to NA24OARX021G0017
Additional Detail
Award ID FAIN
NA24OARX021G0017
SAI Number
NA24OARX021G0017-002
Award ID URI
None
Awardee Classifications
Small Business
Awarding Office
1305N2 DEPT OF COMMERCE NOAA
Funding Office
1333BR OFC OF PROG.PLANNING&INTEGRATION
Awardee UEI
JE25ZXM2VSY5
Awardee CAGE
9CBW0
Performance District
CO-02
Senators
Michael Bennet
John Hickenlooper
John Hickenlooper
Modified: 3/5/25