[Federal Register Volume 87, Number 44 (Monday, March 7, 2022)]
[Notices]
[Pages 12665-12666]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2022-04746]


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DEPARTMENT OF COMMERCE

National Oceanic and Atmospheric Administration


Agency Information Collection Activities; Submission to the 
Office of Management and Budget (OMB) for Review and Approval; Comment 
Request; Partner Probabilistic Snowfall Messaging Survey

    The Department of Commerce will submit the following information 
collection request to the Office of Management and Budget (OMB) for 
review and clearance in accordance with the Paperwork Reduction Act of 
1995, on or after the date of publication of this notice. We invite the 
general public and other Federal agencies to

[[Page 12666]]

comment on proposed, and continuing information collections, which 
helps us assess the impact of our information collection requirements 
and minimize the public's reporting burden. Public comments were 
previously requested via the Federal Register on October 28, 2021 
during a 60-day comment period. This notice allows for an additional 30 
days for public comments.
    Agency: National Oceanic and Atmospheric Administration, Department 
of Commerce.
    Title: Partner Probabilistic Snowfall Messaging Survey.
    OMB Control Number: 0648-XXXX.
    Form Number(s): None.
    Type of Request: Regular submission new information collection.
    Number of Respondents: 7,600.
    Average Hours per Response: 0.25 hours or 15 minutes.
    Total Annual Burden Hours: 1,900 hours.
    Needs and Uses: For decades, the National Weather Service (NWS) has 
provided deterministic (i.e., single-value) snowfall forecasts or 
snowfall uncertainty forecasts with set, narrow ranges (i.e., 2-4, 4-6 
inches). More recent advancements in model ensembles have allowed for 
the calculation of probabilistic snowfall information. This forecast 
information can be messaged in a number of ways, for example, as the 
probability a location will receive some amount of snowfall, or as the 
probability the snowfall will be within a certain range. While 
statistically more accurate, it is unknown if probabilistic snowfall 
forecasts are understood or helpful to the end user in their decision 
making process.
    The NWS and National Center for Atmospheric Research will work 
together to conduct a survey across the NWS Central Region to determine 
different core partners' needs, preferences, understanding, and 
usefulness regarding probabilistic snow forecasts. Core partners of 
interest for this effort are emergency managers, school officials, and 
transportation officials. The survey will be hosted as a web-based 
survey through QuestionPro and will be electronically distributed to 
core partners by local NWS forecast offices across the Central Region 
in early 2022.
    Results from this survey will be used to determine how 
probabilistic snowfall information will be used in future NWS products 
and services with the ultimate goal of providing information in a way 
that improves core partners' ability to make informed decisions for the 
protection of life and property.
    Affected Public: Local (city or county), state, tribal, federal, 
and college/university emergency managers, local school principals, 
superintendents, transportation directors, and maintenance officials, 
and city, regional, or state transportation officials.
    Frequency: Up to once per year for the approved period.
    Respondent's Obligation: Voluntary.
    This information collection request may be viewed at 
www.reginfo.gov. Follow the instructions to view the Department of 
Commerce collections currently under review by OMB.
    Written comments and recommendations for the proposed information 
collection should be submitted within 30 days of the publication of 
this notice on the following website www.reginfo.gov/public/do/PRAMain. 
Find this particular information collection by selecting ``Currently 
under 30-day Review--Open for Public Comments'' or by using the search 
function and entering the title of the collection.

Sheleen Dumas,
Department PRA Clearance Officer, Office of the Chief Information 
Officer, Commerce Department.
[FR Doc. 2022-04746 Filed 3-4-22; 8:45 am]
BILLING CODE 3510-KE-P