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Research Topics:

Data Fusion and Algorithm Development
Calibration and Validation
Surface Observation Networks
Advanced Satellite Programs
Scientific Support for the GOES-R Mission
Scientific Support for the JPSS Mission
Climate Research, Data Assimilation, and Modeling
Climate Data & Information Records/Scientific Data Stewardship
Land and Hydrology
Earth System Modeling from Satellites
Education, Training, and Outreach
Environmental Decision Support Science
Results: 100 Articles found.

CUNY AutoSnow and Ice (GMASI) Products Enterprise Algorithm Migration

The overall goal of this project consists of upgrading the current Global Multisensor Automated Snow and Ice (GMASI) mapping system.

Research Topics: Data Fusion and Algorithm Development
Task Leader: Peter Romanov
Sponsor: PSDI OTHER
Published Date: 11/10/2020

Support for Blended SST Legacy Migration

In order to ensure maintainability, improve portability, and facilitate more straightforward development, the Geo-Polar Blended SST analysis code will be ported from the original development environment (Matlab) to the widely-used Python language.  

Research Topics: Data Fusion and Algorithm Development
Task Leader: Andrew Harris
Sponsor: PSDI OTHER
Published Date: 11/10/2020

Metop-C Sustainment in Blended SST

This project will Investigate and refine bias and uncertainty characteristics of MetOp-B & C sea surface temperature (SST) data, especially with respect to the performance of the ACSPO correction schemes.

Research Topics: Data Fusion and Algorithm Development
Task Leader: Andrew Harris
Sponsor: PSDI JSTAR
Published Date: 11/10/2020

NOAA CoastWatch/OceanWatch/PolarWatch Satellite Products, Applications and Services to Inform Decision-Making in Oceans and Coasts

The NOAA OceanWatch Central Pacific Regional Node engages with local researchers and stakeholders to develop data applications for informed decision-making and increased environmental understanding. 

Research Topics: Environmental Decision Support Science
Task Leader: Melanie Abecassis
Sponsor: ORS
Published Date: 11/10/2020

New Methods for Determining Upper Ocean Heat Content

The purpose of this task is to assist in the further development of an experimental method of upper ocean heat content estimation, known as Empirical Dynamic Topography.

Research Topics: Climate Research, Data Assimilation, and Modeling
Task Leader: E. Hugo Berbery
Sponsor: ORS
Published Date: 11/10/2020
Results: 100 Articles found.
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