Difference between revisions of "Partnership Applications"

Revision as of 10:11, November 22, 2023

Back to Partnership -- The following applications have been posted for review by the Partnership Committee

Winter 2023 Class

UK Met Office Informatics Lab - Type I

The Met Office is the National Weather and Climate Service for the United Kingdom and a world leader in weather & climate research and operations. The Informatics Lab is a team within the Met Office that focused on exploring future themes in science and technology that will be relevant to the wider organisation on a 5-10 year horizon. The current focus is leading research into applying data science and machine learning to weather and climate research and operations. Themes within this include analysis-ready data, platforms and tools that enable scaling up ML pipelines to meet the requirements of weather and climate, physics-informed-machine learning, Explainable AI, and the potential of digital twins to assist in making informed decisions.

Website: https://www.metoffice.gov.uk

Full Application: [1]

Open Science Computing, LLC - Type I

Accelerating Open Science by expanding the community of researchers sharing cloud-optimized data and conducting analysis and visualization with a scalable open-source framework that works effectively on laptops, HPC and Cloud.

Website: https://opensciencecomputing.com

Full Application: [2]

@@ Line 1: / Line 1: @@
 ''Back to'' '''[[Partnership]]''' -- The following applications have been posted for review by the Partnership Committee  <br>
-==Fall 2023 Class ==
+==Winter 2023 Class ==
-===USAP-DC - Type I===
+===UK Met Office Informatics Lab - Type I===
-The US Antarctic Program Data Center (USAP-DC) provides a research data repository and project catalog for the NSF
+The Met Office is the National Weather and Climate Service for the United Kingdom and a world leader in weather & climate
-funded USAP community.
+research and operations. The Informatics Lab is a team within the Met Office that focused on exploring future themes in science
+and technology that will be relevant to the wider organisation on a 5-10 year horizon. The current focus is leading research into
+applying data science and machine learning to weather and climate research and operations. Themes within this include
+analysis-ready data, platforms and tools that enable scaling up ML pipelines to meet the requirements of weather and climate,
+physics-informed-machine learning, Explainable AI, and the potential of digital twins to assist in making informed decisions.
-:Website: https://www.usap-dc.org/
+:Website: https://www.metoffice.gov.uk
-:Full Application: [https://drive.google.com/file/d/1nHTxuKOO_fKyuYgeWtx3qyRvD_XE2S66/view?usp=sharing]
+:Full Application: [https://drive.google.com/drive/folders/1HPj3Zh5IvOAtzyFWQu9-2IAyU6-mQSDx]
-===GIFFT - Type II===
+===Open Science Computing, LLC - Type I===
-The Global Initiative for Flood Forecasting and Alerting (GIFFT) provides flood early warning incorporating hydrologic models and remote sensing to identify areas affected by floods. We have partnered with the Pacific Disaster Center to deliver this information to their global user community. Our initiative produces flood alerting information as well as remote sensing products to identify the extent and depth of floods. We also incorporate damage assessment as well as exposure to assess the impacts of floods. We have developed an algorithm that assigns flood severity and is used as a trigger for remote sensing evaluation.
+Accelerating Open Science by expanding the community of researchers sharing cloud-optimized data and conducting analysis and visualization with a scalable open-source framework that works effectively on laptops, HPC and Cloud.
-:Website: https://gifft.org
+:Website: https://opensciencecomputing.com
-:Full Application: [https://drive.google.com/file/d/1SZGDRmaVSOhJA_z7cBZcKjZifVIQigqr/view?usp=sharing]
+:Full Application: [https://drive.google.com/file/d/1gOkeF4Pm7f0F1JkerWZaxsVc0g2AzKSO/view?usp=sharing]