The initial (kick-off) workshop for the LROSE project was held at the NCAR Foothills Laboratory, in Boulder, 2017/04/11 - 2017/04/12.
The aim of this workshop was to discuss with the user community ideas on how best to proceed with the project, including setting goals and priorities.
Time | Agenda item |
---|---|
08:00 | Registration / Coffee |
08:30 | Welcome address and housekeeping (Michael Bell) |
08:40 | LROSE Overview and Workshop Goals (Michael Bell) |
09:00 | Current state of the software (Mike Dixon) |
09:30 | The Python ARM Radar Toolkit: a community-based architecture for interacting with weather radar data (Scott Collis) |
10:00 | Coffee break |
10:15 | WMO and international collaboration (Daniel Michelson) |
10:30 | Compute pipelines using Pegasus Workflows - an introduction (Karan Vahi) |
11:00 | Breakout session # 1 |
12:00 | Breakout sessions report back |
12:20 | Lunch - NCAR Cafeteria |
13:30 | Defining the spatial properties of precipitation features using data from the WSR-88D network (Corene Matyas) |
14:00 | Breakout session # 2 |
15:00 | Coffee break |
15:15 | Breakout sessions report back, and plenary discussion |
16:45 | Day 1 adjourn |
Time | Agenda item |
---|---|
07:30 | Breakfast provided |
08:30 | Private industry collaboration and Artview (Nick Guy) |
09:00 | Breakout session # 3 |
10:00 | Breakout sessions report back |
10:30 | Coffee break |
10:50 | Plenary session and wrap-up |
12:20 | Adjourn |
Py-ART is a midsize (100+ users) community (19 contributors) Python toolkit for interacting with data produced by meteorological radars. The original aim was to facilitate the dissemination of algorithm research funded by the Department of Energy's ARM program. Since its public release, approximately four years ago, through careful package management Py-ART has grown in use while maintaining a narrow, maintainable scope. This presentation will outline the philosophy of the package, various techniques to keep the project tractable and a new five year road-map for the future of the project.
Workflows are a key technology for enabling complex scientific applications. They capture the interdependencies between processing steps in data analysis and simulation pipelines, as well as the mechanisms to execute those steps reliably and efficiently in a distributed computing environment. They also enable scientists to capture complex processes to promote sharing and reuse, and provide provenance information necessary for the verification of scientific results and scientific reproducibility. The talk will give an introductory overview of Pegasus Workflow Management System (Pegasus WMS http://pegasus.isi.edu). Pegasus allows users to design workflows at a high-level of abstraction, which is independent of the resources available to execute them and the location of data and executables. It compiles these abstract workflows to executable workflows that can be deployed onto distributed resources such local campus clusters, computational clouds and grids such as XSEDE and Open Science Grid. During the compilation process, Pegasus does data discovery, whereby it determines the locations of input data files and executables. Data transfer tasks are added to the executable workflow that are responsible for staging in the input files to the cluster, and the generated output files back to a user specified location. In addition to the data transfers tasks, data cleanup (cleanup data that is no longer required) and data registration tasks are also added. Pegasus also captures all the provenance of the pipeline lifecycle from the planning stage, through execution, to the final output data, helping scientists to accurately measure the performance of their pipelines and reconstruct the history of data products. Pegasus provides both command line tools and a web dashboard for debugging and monitoring that allow users to easily detect and debug failures in their pipelines. Pegasus has been used in a number of scientific domains including astronomy, bioinformatics, earthquake science, gravitational wave physics, ocean science, limnology, and others. Pegasus workflows are also used for automatic quality control analysis of phenotypic data submissions to NRGR a large NIH funded repository.
Geographers specialize in the analysis of spatial patterns. To examine rainfall patterns, climatologists may rely on data interpolated from rain gauges. However, these data do not permit the exploration of features such as convective cells inside of the rainband of a tropical cyclone. These features can be resolved through an analysis of the high spatial and temporal resolution data produced by the WSR-88D network. Although its capabilities to analyze temporal data are somewhat limited, the use of Geographical Information Systems (GIS) by nongeographers including meteorologists is growing. This suggests that the collaboration of geographers specializing in geospatial techniques with those pursuing research in climatology could develop new GIS-based methods for the spatial analysis of radar data that facilitate climate-scale research of precipitation features. This presentation features techniques our research group has developed to quantify the spatial patterns of radar reflectivity values through the calculation of shape metrics for the rain fields of landfalling tropical cyclones.
Name Email Organization
Angela Rowe akrowe@atmos.uw.edu University of Washington
Anthony Didlake didlake@psu.edu Penn State University
Arthur Eiserloh arthur.eiserloh@sjsu.edu San Jose State University
Brad Schoenrock brads@ucar.edu NCAR/EOL
Brenda Dolan bdolan@atmos.colostate.edu Colorado State University
Brianna Lund bl0027@uah.edu University of Alabama in Huntsville
Bruno Melli bpmelli@colostate.edu Colorado State University
Corene Matyas matyas@ufl.edu University of Florida
Courtney Laughlin claughlin@cswr.org Center for Severe Weather Research
Dan Stechman stechma2@illinois.edu University of Illinois
David Kingsmill david.kingsmill@colorado.edu University of Colorado
David Plummer dplumme1@uwyo.edu University of Wyoming
David Yates yates@ucar.edu NCAR/RAL
Eleanor Delap eleanor.delap@colostate.edu Colorado State University
Erik Johnson ej@ucar.edu NCAR/EOL
Frank Hage fwhage@gmail.com Private consultant
Frank Marks frank.marks@noaa.gov NOAA/AOML/HRD
Frederick Iat Hin-Tam ft21894@gmail.com National Taiwan University
Gary Cunning cunning@ucar.edu NCAR/RAL
Hannah Barnes hannah.barnes@pnnl.gov Pacific Northwest National Lab
Haonan Chen haonan.chen@colostate.edu Colorado State University
Ivan Arias Hernandez idariash@colostate.edu Colorado State University
James Marquis jmarquis@cswr.org CSWR/UC Boulder
Jennifer DeHart jcdehart@uw.edu University of Washington
Jennifer L Davison jldavison@me.com Lower Atmosphere Research Group
Jim Wilson jwilson@ucar.edu NCAR/EOL
Jingyin Tang jtang8756@ufl.edu University of Florida
John Gamache john.gamache@noaa.gov NOAA/AOML/HRD
Jon Martinez jon.martinez@colostate.edu Colorado State University
Josh Aikins joshua.aikins@colorado.edu University of Colorado/NOAA PSD
Josh Carnes jcarnes@ucar.edu NCAR/EOL
Karan Vahi vahi@isi.edu USC Information Sciences Inst. Pega
Karen Kosiba kakosiba@cswr.org Center for Severe Weather Reserach
Kristen Rasmussen kristenr@rams.colostate.edu Colorado State University
Larry Oolman ldoolman@uwyo.edu University of Wyoming
Michael Bell mmbell@colostate.edu Colorado State University
Mike Dixon dixon@ucar.edu NCAR/EOL
Nancy Rehak nrehak@globalweathercorp.com Global Weather Corp
Naufal Razin naufal@colostate.edu Colorado State University
Nick Guy nick.guy@climate.com The Climate Corporation
Paul Robinson robinsonp@cswr.org Center For Severe Weather Research
Peter Dodge peter.dodge@noaa.gov NOAA/AOML/HRD
Roelof Burger roelof.burger@nwu.ac.za North West University South Africa
Ryan Gooch s.ryan.gooch@gmail.com Colorado State University
Samuel Haimov haimov@uwyo.edu University of Wyoming
Scott Collis scollis@anl.gov Argonne National Laboratory
Scott Pearse pearse@ucar.edu NCAR/CISL
Sounak Biswas sounak.biswas@colostate.edu Colorado State University
Stacy Brodzik brodzik@uw.edu University of Washington
Stephen Herbener stephen.herbener@colostate.edu Colorado State University
Tammy Weckwerth tammy@ucar.edu NCAR/EOL
Ting Yu Cha tingyu@rams.colostate.edu Colorado State University
Trevor White twhite@cswr.org Center for Severe Weather Research
Ulrike Romatschke romatsch@ucar.edu NCAR/EOL
Wen-Chau Lee wenchau@ucar.edu NCAR/EOL