Atmospheric and Space Scientists
Context coveredThis framework covers the full practice scope of Atmospheric and Space Scientists — from entry-level data gathering and model operation through independent forecasting and research to executive leadership of meteorological programs, spanning government agencies, commercial weather services, broadcast media, and academic research institutions.
- Surface and upper-air observational data — collect and organize from weather stations, satellites, and radar networks under supervisor guidance in an operational forecasting environment.
- Meteorological reports and basic charts — interpret with assistance, applying foundational knowledge of atmospheric physics and mathematics learned through degree coursework.
- Numerical weather prediction model output — review and summarize key parameters under direct supervision to support short-range forecast products.
- Computer programs for data collection — execute and troubleshoot existing scripts written in Python or similar languages to gather meteorological datasets in a government or research setting.
- Geographic information system tools — use to display and query spatial weather and climate data under direction from a senior atmospheric scientist.
- Scientific literature and technical reports — read and synthesize relevant findings to support team-level research into atmospheric phenomena and climate processes.
- Weather forecast briefings — assist in preparing routine written summaries of conditions for internal review before submission to business or government clients.
- Analytical or scientific software packages — operate under guidance to run basic statistical analyses on atmospheric datasets in a laboratory or office environment.
- Public communication materials — support the drafting of weather condition summaries intended for broadcast or web publication under editorial oversight.
- Mathematical models of atmospheric dynamics — apply standard equations and pre-built model frameworks to entry-level forecast exercises with faculty or supervisor review.
- Short- and long-range weather forecasts — develop independently by interpreting multi-source environmental data including satellite imagery, radar, and numerical model output in an operational center.
- Meteorological and climate datasets — formulate predictions by integrating oceanic, atmospheric, and paleoclimate information using established analytical methods with limited oversight.
- Custom computer programs — write and maintain scripts to automate meteorological data collection and processing workflows in a government agency or private-sector forecasting unit.
- Severe weather warnings — prepare and disseminate timely public alerts via television, radio, or Internet platforms, adhering to agency protocols and broadcast standards.
- Forecast briefings — produce and present tailored products for industry, agricultural, or emergency management stakeholders, adapting content to non-specialist audiences.
- Mathematical and statistical models — apply and calibrate existing weather forecasting models to local or regional conditions, refining outputs based on observed verification skill scores.
- Atmospheric research data — gather, quality-control, and archive observational records from surface stations and upper-air soundings to support ongoing departmental research projects.
- Graphics and visualization software — produce professional-grade weather maps and forecast graphics for client deliverables and media publication in a commercial weather enterprise.
- Climate theory and physics principles — apply to diagnose non-routine meteorological events and explain physical mechanisms to colleagues and clients with growing independence.
- Scientific writing — author technical sections of research reports, forecast verification summaries, and internal documentation meeting organizational and journal style standards.
- Novel mathematical and computer models — design, develop, and validate for operational weather forecasting across diverse geographic domains and temporal scales without supervisory input.
- Complex multi-variable environmental datasets — interpret and synthesize meteorological, atmospheric, oceanic, and climate data autonomously to produce high-confidence long-range forecast guidance.
- Original meteorological research — conduct end-to-end investigations into atmospheric processes, from hypothesis formation through data collection, analysis, and peer-reviewed publication.
- Advanced numerical modeling code — develop and optimize custom software in object-oriented languages to improve data ingestion, processing, and forecast model performance in operational systems.
- Severe and high-impact weather scenarios — evaluate with expert judgment, issuing authoritative warnings and briefings that balance uncertainty communication with actionable public safety guidance.
- Cross-sector forecast products — develop and deliver specialized briefings for energy, aviation, agriculture, and government sectors, independently assessing each client's risk tolerance and decision context.
- Atmospheric and climate system interactions — analyze using systems-level reasoning to diagnose cascading phenomena such as teleconnections, feedback loops, and multi-scale weather patterns.
- Geographic information and remote-sensing platforms — integrate satellite, radar, and GIS data streams into comprehensive situational awareness products for operational and research applications.
- Forecast verification and model evaluation — lead systematic assessments of prediction accuracy, identifying systematic biases and recommending corrective improvements to modeling workflows.
- Scientific and public communication — craft high-clarity written reports, journal articles, and broadcast-quality media content that accurately convey complex atmospheric science to diverse audiences.
- Organizational forecasting strategy — define and direct the long-term vision for model development, data acquisition, and forecast service delivery across an agency, research institute, or enterprise.
- Research programs in atmospheric and climate science — establish and lead multi-year investigations, securing competitive funding, guiding interdisciplinary teams, and advancing the field's knowledge base.
- Next-generation predictive modeling frameworks — architect and oversee the development of cutting-edge numerical weather prediction systems that set new performance benchmarks for the profession.
- Junior and mid-level atmospheric scientists — mentor, evaluate, and develop technical skills and scientific judgment through structured coaching, project leadership, and formal training programs.
- Interagency and cross-sector partnerships — represent the organization in collaborative data-sharing, joint research, and standards-setting initiatives with federal agencies, academia, and international bodies.
- Policy and decision-making forums — provide authoritative expert testimony and climate-risk counsel to government officials, regulatory bodies, and executive leadership shaping environmental and emergency management policy.
- Organizational data infrastructure — set strategic direction for the integration of satellite, radar, surface network, and HPC computing assets into a unified, scalable science and operations platform.
- Public risk communication frameworks — lead the design of enterprise-wide protocols for broadcasting severe weather events, ensuring message consistency, scientific integrity, and community impact across all media channels.
- Workforce capability and innovation culture — champion adoption of emerging technologies, learning strategies, and interdisciplinary methods to continuously elevate organizational scientific capacity and adaptability.
- Quality and performance standards — establish and enforce organization-wide benchmarks for forecast accuracy, research rigor, software reliability, and professional conduct across all atmospheric science functions.
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O*NET enrichment · skillscrosswalk.com
Suggest an O*NET correctionSource anchors that ground each statement
- Develop or use mathematical or computer models for weather forecasting.
- Interpret data, reports, maps, photographs, or charts to predict long- or short-range weather conditions, using computer models and knowledge of climate theory, physics, and mathematics.
- Conduct meteorological research into the processes or determinants of atmospheric phenomena, weather, or climate.
- Formulate predictions by interpreting environmental data, such as meteorological, atmospheric, oceanic, paleoclimate, climate, or related information.
- Broadcast weather conditions, forecasts, or severe weather warnings to the public via television, radio, or the Internet or provide this information to the news media.
- Prepare forecasts or briefings to meet the needs of industry, business, government, or other groups.
- Gather data from sources such as surface or upper air stations, satellites, weather bureaus, or radar for use in meteorological reports or forecasts.
- Develop computer programs to collect meteorological data or to present meteorological information.
Sources: O*NET v30.2 (CC BY 4.0), SkillsCrosswalk.com, LER.me®, Anthropic Economic Index, SAFI (Jadhav & Danve, 2026), WEF Skills Taxonomy 2021, Pathsmith™ Durable Skills Framework. © 2026 EBSCOed.