Climatological Prediction Tool and Sensitivity Study - National Ecological Observatory Network RFQ-0149-AOP

National Ecological Observatory Network » RFQ-0149-AOP

The information below is a summary of solicitation number RFQ-0149-AOP posted by National Ecological Observatory Network.  As a reminder, this solicitation is closed and responses are no longer being accepted.

Climatological Prediction Tool and Sensitivity Study

Date Issued: 06/24/2014

Deadline: 07/18/2014  prior to 2:00 PM   M.D.T.

Requisition Number: RFQ-0149-AOP

Delivery Point: Boulder, CO

Delivery Date: July 31, 2014

Type of Purchase: Term: Unspecified

Construction Related: No

Type of Response Allowed: Online or Hard Copy

Issuing Agency: National Ecological Observatory Network

Using Department: AOP

Special Notices: All or None Award


Due Date: 7/7/2014 2:00:00 PM M.D.T.

Primary Contact Name: Mr. Rory Pickett

Title: Contract Administrator



The development of the NEON Airborne Observation Platform (AOP) is a critical component to assuring NEON’s mission. One of AOP’s primary products will be spectral surface reflectance derived from the radiance measured by the NIS. Spectral reflectance is the ratio of the radiance reflected off the surface to the solar irradiance incident at the surface. The presence of clouds, even thin cirrus or patchy cumulus, greatly reduces the accuracy of the incident solar radiation calculation and consequently the accuracy of the surface reflectance owing to the highly variable and unknown surface irradiance from patchy clouds. In order for NEON to plan/operate its airborne measurement program and derive the most accurate surface reflectance product, we are soliciting support in the following areas: 1. Climatological studies of the frequency of occurrence of clouds by day of year (DOY) and time of day (TOD), for long term planning. 2. Short-­‐term prediction capability of cloud probability, for short term scheduling and for flight operations; per day/per hour, including % cloud cover (clear, % cover), cloud type (ground fog, cirrus, cumulus, other), along with cloud top height/cloud base height. 3. Sensitivity analyses of the impact of variable cloud cover on the accuracy of the derived surface reflectance product. 


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