Using station data and downscaled reanalysis to assess the occurrence of extreme weather

Project Title: Using station data and downscaled reanalysis to assess the occurrence of extreme weather
Program:
Northeast (308)

Project Image: https://support.access-ci.org/system/files/webform/project/42/nam_prcp-tcld_9-26-2017_0%20%281%29.png
Tags:
data-management (260)

Status: Complete
Project Leader
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Project Leader:
Sean Birkel

Email: birkel@maine.edu
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Project Personnel
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Mentor(s):
Chris Wilson (140), Larry Whitsel (86)

Student-facilitator(s):
Daniel Paradis (84)

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Project Information
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Project Description:
Meteorological observations across North America and Europe suggest a significant increase in the frequency and intensity of extreme weather (heat waves, cold waves, precipitation events) coincident with satellite-measured major decline of Arctic sea ice over the past decade. This project will assess the occurrence and impact of extreme weather events across Northern New England using both station data and climate reanalysis models. Weather and climate are critically important across Northeast New England, owing to the heavy reliance of natural resources for its economy. In particular this project involves mining multi-terabyte databases and model outputs to visualize data in a variety of formats.

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Project Deliverables:
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Student Research Computing Facilitator Profile:
An undergraduate student with a knowledge of programming and data handling.

Mentee Research Computing Profile:
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Student Facilitator Programming Skill Level: Practical applications
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Project Institution: University of Maine
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Anchor Institution: NE-University of Maine
Preferred Start Date: 11/10/2017
Start as soon as possible.: No
Project Urgency: Already behind3Start date is flexible
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What will the student learn?:
Student will learn how to deal with the particular data format that climate data typically uses, how to parse and create graphics on a web page from such data and how to port web pages from the existing physical server to a virtual machine.

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HPC resources needed to complete this project?:
Virtual machine resources from the ACG at UMaine

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Final Report
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What is the impact on the development of the principal discipline(s) of the project?:
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Is there an impact on technology transfer?:
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Is there an impact on society beyond science and technology?:
This work helped launch the climate reanalyzer (https://climatereanalyzer.org/) to help make weather and climate more accessible.

Lessons Learned:
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Overall results:
The site has been operational for a number of years and attracts hundreds of hits per day.