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Workshop material for Ethos of Open Science

We provide a quick-look at the outcomes of a three-day National Science Foundation-funded workshop that brought new understanding to the complex sun-to-power grid system by converging the range of communities that are involved. The novel workshop brought together the myriad disciplines to identify the research & development and operational gaps and to propose solutions for those gaps. We will structure the convergence through a space weather-to-power grid ‘simulation game,’ a low-risk, cost-effective environment to unite researchers, decision-makers, and operators to assess the preparedness for threats and hazards posed by space weather on the electric power grid [FEMA National Exercise Division]. The central goal of this workshop was to emerge the research and development gaps that arise from a holistic view of the sun-to-power grid system. We describe the event and provide recommendations and a link to sign up to receive the final report when published.

NASA's Transform to Open Science Mission

NASA’s Transform to Open Science (TOPS) mission is being designed to support the adoption of open science and broaden participation in science. During the 2023 Year of Open Science TOPS is planning a broad suite of resources, events, and activities.TOPS efforts are built on relationships with a variety of diverse communities. Critical to these relationships is open, candid, and complete two-way communication. This month, we focusedinto on NASA Science Mission Directorate Divisions: Biological and Physical Sciences and Heliophysics, to learn more about those domain-specific open science activities. We also asked for feedback on related open science activities in the other domains (Astrophysics, Planetary Science and Earth Science) and points where different domains' efforts could benefit and augment one another. This is the resulting jamboard output from those discussions.

NASA’s Transform to Open Science (TOPS) mission is being designed to support the adoption of open science and broaden participation in science. During the 2023 Year of Open Science TOPS is planning a broad suite of resources, events, and activities.TOPS efforts are built on relationships with a variety of diverse communities. Critical to these relationships is open, candid, and complete two-way communication. This month, we focusedinto on NASA Science Mission Directorate Divisions: Biological and Physical Sciences and Heliophysics, to learn more about those domain-specific open science activities. We also asked for feedback on related open science activities in the other domains (Astrophysics, Planetary Science and Earth Science) and points where different domains' efforts could benefit and augment one another.

The 21st century is the time of complexity. We delineate it and its importance as necessary to solve ‘wicked problems.’ Inherently transdisciplinary, trans-scale, and interconnected to living systems, the solution to Heliophysics’ identity crisis and to unlock the next generation of scientific discovery may be to embrace complexity. With the right foresight, direction, and incentive over the next ten years, Heliophysics can become a beacon for how all of society thinks about and does complexity science.

This presentation, originally given during a webinar on February 11th, 2022, provides an overview of plenary and breakout sessions from the 2022 Earth Science Information Partners (ESIP) January Meeting held online (January 18th-21st, 2022). The meeting theme was Data for All People: From Generation to Use to Understanding.

ESIP has rich ontologies and semantic technologies for the Earth Sciences, however the space sciences are increasingly inextricable from advancing the science in our community. There is a marked lack of semantic technology maturity to integrate the space-based perspective. We launched a new initiative to address one of the vital components of improving semantic technologies in the space sciences: glossary harmonization. We describe those efforts, including important artifacts that reach all of ESIP: new approaches for cultivating collective virtual collaboration and curricular materials for performing glossary harmonization. Finally, we will discuss the role this work plays in broader activities, including: 1) the NASA Heliophysics KNOWledge (Helio-KNOW) project; 2) the NASA Center for HelioAnalytics; and 3) the notion of an Earth and Space Science Knowledge Commons. This presentation was given during the 2022 ESIP January meeting held virtually in January 2022.

GIC Data: Contained are anonymized GIC data for the 7 nodes included in the corresponding manuscript. The file names indicate the node number and the method used to create the QDC value. For specific details, please see the manuscript. The format of the data within the files is: Time, GIC (A), GIC Quiet Day Curve(A), IQR(A) Note: One should expect NaNs for the QDC and IQR values for the first 15 and last 15 minutes within each file. The Nan values arise due tothe averaging window - in this case, 30 minutes. TIEGCM Setup Files The TIEGCM v2.0 .job and .inp files here may be used to replicate the simulations included in the corresponding manuscript. Please see the TIEGCM v2.0 documentation (https://www.hao.ucar.edu/modeling/tgcm/tiegcm2.0/userguide/html/intro.html) for details on how to use these files.

We advance the modeling capability of electron particle precipitation from the magnetosphere to the ionosphere through a new database and use of machine learning tools to gain utility from those data. We have compiled, curated, analyzed, and made available a new and more capable database of particle precipitation data that includes 51 satellite years of Defense Meteorological Satellite Program (DMSP) observations temporally aligned with solar wind and geomagnetic activity data. The new total electron energy flux particle precipitation nowcast model, a neural network called PrecipNet, takes advantage of increased expressive power afforded by machine learning approaches to appropriately utilize diverse information from the solar wind and geomagnetic activity and, importantly, their time histories. With a more capable representation of the organizing parameters and the target electron energy flux observations, PrecipNet achieves a $>$50\% reduction in errors from a current state-of-the-art model (OVATION Prime), better captures the dynamic changes of the auroral flux, and provides evidence that it can capably reconstruct mesoscale phenomena. We create and apply a new framework for space weather model evaluation that culminates previous guidance from across the solar-terrestrial research community. The research approach and results are representative of the `new frontier' of space weather research at the intersection of traditional and data science-driven discovery and provides a foundation for future efforts.

A look at the trends and opportunities for artificial intelligence and machine learning in the space and Earth sciences. This was presented at the 2021 Earth Science Information Partners (ESIP) Winter Meeting held virtually in January 2021.

This presentation, originally given during a webinar on February 19th, 2021, provides an overview of plenary and breakout sessions from the 2021 Earth Science Information Partners (ESIP) Winter Meeting held online (January 26th-29th, 2021).

Our technological and physical expansion into space exemplifies the growing interconnections between Earth and the space environment. The inseparability of the space environment from Earth and life on it reveals cracks and inadequacies in our data and knowledge infrastructure to integrate the different domains. The key to a flourishing community of Earth and space research is in improved knowledge systems (ways of representing our information). We will highlight a few efforts toward improved knowledge representation systems, emphasizing the importance of thinking in graphs/networks, and spark a discussion toward a framework to address the asymmetries: a knowledge commons [McGranaghan et al., 2021].ReferencesMcGranaghan, R., Klein, S. J., Cameron, A., Young, E., Schonfeld, S., Higginson, A., … Thompson, B. (2021). The need for a Space Data Knowledge Commons. Structuring Collective Knowledge. Retrieved from https://knowledgestructure.pubpub.org/pub/space-knowledge-commons

Recommendations from the Chapman Conference on Scientific Challenges Pertaining to Space Weather Forecasting Including Extremes, 11-15 February 2019, Pasadena, CA, USA. Endorsers of this report are listed as Other below the author list. For meeting artifacts, see https://doi.org/10.5281/zenodo.3693004. The meeting was sponsored by NSF Award AGS 1848885 and by NASA grants 936723.02.01.09.14 and 936723.02.01.11.21.