Question 1

What are the key details for the project “FY 2018 Joint Technology Transfer Initiative”?

Accepted Answer

The project “FY 2018 Joint Technology Transfer Initiative” is an infrastructure initiative in the Commercial sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

Question 2

What is the latest status of the project “FY 2018 Joint Technology Transfer Initiative”?

Accepted Answer

The status recorded for “FY 2018 Joint Technology Transfer Initiative” is archived.

Question 3

Who are the main government, EPC, and private stakeholders for “FY 2018 Joint Technology Transfer Initiative”?

Accepted Answer

Taiyo maps the stakeholders of “FY 2018 Joint Technology Transfer Initiative”: government bodies (Department of Commerce, United States Department of Commerce (DOC), US Government).

Question 4

What is the budget and commercial profile for the project “FY 2018 Joint Technology Transfer Initiative”?

Accepted Answer

Taiyo normalizes the budget of “FY 2018 Joint Technology Transfer Initiative” to USD 2000000.

Question 5

Where can I verify the source and access all details for “FY 2018 Joint Technology Transfer Initiative”?

Accepted Answer

This Taiyo project page references Grants.gov along with the original URL (https://www.grants.gov/web/grants/view-opportunity.html?oppId=300187). Taiyo standardizes official data into a consistent, searchable project profile.

Sponsoring Agency	Obfuscated Data
Company	Obfuscated Data

Original status	archived
Taiyo status	Obfuscated Data
Taiyo last update	00-00-0000
Available timestamps	00-00-0000
Available timestamp type	Obfuscated Data

Contact name	Obfuscated Data
Phone	0000000000
Email	ObfuscatedData@email.com
Address	Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description	Through the Joint Technology Transfer Initiative (JTTI) Program, OAR’s Office of Weather and Air Quality (OWAQ) is soliciting proposals to conduct research and development activities related to advancing data assimilation of new observations and data assimilation techniques for convective-scale weather prediction, improving water prediction capabilities through enhancements to National Water Model, improving daily to subseasonal scale prediction of Arctic sea ice, and communicating forecast uncertainty.
Original sub-sector	Obfuscated
Original Currency	USD
Original budget	000000000000000
Procurement method	Obfuscated Data
Budget	000000000000000

Region	Obfuscated
Country	Obfuscated
State	Obfuscated Data
County	Obfuscated
Location	Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source reliability	High
Data quality score	100%
Source	Obfuscated Data
URL	obfuscated_data,obfuscateddata.com

Project Type	Obfuscated Data
Article Published Date	Obfuscated Data

FY 2018 Joint Technology Transfer Initiative

Project Information FAQ

Project Information