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Atmospheric and Space Scientists

SOC 19-2021.00Job Zone 4 · Considerable Preparationv.26.05

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.

Emerging
Entry / Apprentice
  1. Surface and upper-air observational datacollect and organize from weather stations, satellites, and radar networks under supervisor guidance in an operational forecasting environment.
  2. Meteorological reports and basic chartsinterpret with assistance, applying foundational knowledge of atmospheric physics and mathematics learned through degree coursework.
  3. Numerical weather prediction model outputreview and summarize key parameters under direct supervision to support short-range forecast products.
  4. Computer programs for data collectionexecute and troubleshoot existing scripts written in Python or similar languages to gather meteorological datasets in a government or research setting.
  5. Geographic information system toolsuse to display and query spatial weather and climate data under direction from a senior atmospheric scientist.
  6. Scientific literature and technical reportsread and synthesize relevant findings to support team-level research into atmospheric phenomena and climate processes.
  7. Weather forecast briefingsassist in preparing routine written summaries of conditions for internal review before submission to business or government clients.
  8. Analytical or scientific software packagesoperate under guidance to run basic statistical analyses on atmospheric datasets in a laboratory or office environment.
  9. Public communication materialssupport the drafting of weather condition summaries intended for broadcast or web publication under editorial oversight.
  10. Mathematical models of atmospheric dynamicsapply standard equations and pre-built model frameworks to entry-level forecast exercises with faculty or supervisor review.
Developing
Mid-level / Established
  1. Short- and long-range weather forecastsdevelop independently by interpreting multi-source environmental data including satellite imagery, radar, and numerical model output in an operational center.
  2. Meteorological and climate datasetsformulate predictions by integrating oceanic, atmospheric, and paleoclimate information using established analytical methods with limited oversight.
  3. Custom computer programswrite and maintain scripts to automate meteorological data collection and processing workflows in a government agency or private-sector forecasting unit.
  4. Severe weather warningsprepare and disseminate timely public alerts via television, radio, or Internet platforms, adhering to agency protocols and broadcast standards.
  5. Forecast briefingsproduce and present tailored products for industry, agricultural, or emergency management stakeholders, adapting content to non-specialist audiences.
  6. Mathematical and statistical modelsapply and calibrate existing weather forecasting models to local or regional conditions, refining outputs based on observed verification skill scores.
  7. Atmospheric research datagather, quality-control, and archive observational records from surface stations and upper-air soundings to support ongoing departmental research projects.
  8. Graphics and visualization softwareproduce professional-grade weather maps and forecast graphics for client deliverables and media publication in a commercial weather enterprise.
  9. Climate theory and physics principlesapply to diagnose non-routine meteorological events and explain physical mechanisms to colleagues and clients with growing independence.
  10. Scientific writingauthor technical sections of research reports, forecast verification summaries, and internal documentation meeting organizational and journal style standards.
Proficient
Senior / Expert IC
  1. Novel mathematical and computer modelsdesign, develop, and validate for operational weather forecasting across diverse geographic domains and temporal scales without supervisory input.
  2. Complex multi-variable environmental datasetsinterpret and synthesize meteorological, atmospheric, oceanic, and climate data autonomously to produce high-confidence long-range forecast guidance.
  3. Original meteorological researchconduct end-to-end investigations into atmospheric processes, from hypothesis formation through data collection, analysis, and peer-reviewed publication.
  4. Advanced numerical modeling codedevelop and optimize custom software in object-oriented languages to improve data ingestion, processing, and forecast model performance in operational systems.
  5. Severe and high-impact weather scenariosevaluate with expert judgment, issuing authoritative warnings and briefings that balance uncertainty communication with actionable public safety guidance.
  6. Cross-sector forecast productsdevelop and deliver specialized briefings for energy, aviation, agriculture, and government sectors, independently assessing each client's risk tolerance and decision context.
  7. Atmospheric and climate system interactionsanalyze using systems-level reasoning to diagnose cascading phenomena such as teleconnections, feedback loops, and multi-scale weather patterns.
  8. Geographic information and remote-sensing platformsintegrate satellite, radar, and GIS data streams into comprehensive situational awareness products for operational and research applications.
  9. Forecast verification and model evaluationlead systematic assessments of prediction accuracy, identifying systematic biases and recommending corrective improvements to modeling workflows.
  10. Scientific and public communicationcraft high-clarity written reports, journal articles, and broadcast-quality media content that accurately convey complex atmospheric science to diverse audiences.
Advanced
Lead / Principal / Executive
  1. Organizational forecasting strategydefine and direct the long-term vision for model development, data acquisition, and forecast service delivery across an agency, research institute, or enterprise.
  2. Research programs in atmospheric and climate scienceestablish and lead multi-year investigations, securing competitive funding, guiding interdisciplinary teams, and advancing the field's knowledge base.
  3. Next-generation predictive modeling frameworksarchitect and oversee the development of cutting-edge numerical weather prediction systems that set new performance benchmarks for the profession.
  4. Junior and mid-level atmospheric scientistsmentor, evaluate, and develop technical skills and scientific judgment through structured coaching, project leadership, and formal training programs.
  5. Interagency and cross-sector partnershipsrepresent the organization in collaborative data-sharing, joint research, and standards-setting initiatives with federal agencies, academia, and international bodies.
  6. Policy and decision-making forumsprovide authoritative expert testimony and climate-risk counsel to government officials, regulatory bodies, and executive leadership shaping environmental and emergency management policy.
  7. Organizational data infrastructureset strategic direction for the integration of satellite, radar, surface network, and HPC computing assets into a unified, scalable science and operations platform.
  8. Public risk communication frameworkslead the design of enterprise-wide protocols for broadcasting severe weather events, ensuring message consistency, scientific integrity, and community impact across all media channels.
  9. Workforce capability and innovation culturechampion adoption of emerging technologies, learning strategies, and interdisciplinary methods to continuously elevate organizational scientific capacity and adaptability.
  10. Quality and performance standardsestablish and enforce organization-wide benchmarks for forecast accuracy, research rigor, software reliability, and professional conduct across all atmospheric science functions.

Authoritative source data identified for 998 occupations

How a worker at each mastery level uses, directs, and evaluates AI tools in this occupation. Each statement cites its evidence inline; click a citation chip to verify the source.

Emerging
  1. AI-assisted literature review — uses an LLM to summarize meteorological research papers and synthesize background information on atmospheric phenomena, while verifying conclusions against primary sources Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  2. Model output interpretation — reads AI-generated weather model summaries and flags anomalies for review by senior scientists, without yet independently validating the underlying numerical schemes Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
Developing
  1. Forecast narrative generation — directs an AI assistant to draft public-facing weather bulletins and broadcast scripts from structured model output, then edits the text for scientific accuracy and regional specificity Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab..
  2. Data preprocessing delegation — hands off routine quality-control and formatting of meteorological datasets (radiosonde, satellite, surface obs) to an AI pipeline, then spot-checks flagged records before analysis Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  3. Climate report summarization — tasks an AI tool with condensing lengthy climate assessment reports into decision-relevant briefs, retaining authorship of all scientific conclusions WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
Proficient
  1. Numerical weather model augmentation — integrates AI-generated ensemble guidance alongside physics-based NWP output, critically reconciling discrepancies using domain knowledge of atmospheric dynamics Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  2. Severe weather warning workflow — orchestrates AI tools to monitor real-time sensor feeds and surface rapid alert drafts, then applies expert judgment on timing, intensity, and communication framing before public release Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab..
  3. Spatiotemporal pattern analysis — directs AI-powered data science pipelines to detect teleconnection signals and anomaly clusters in large reanalysis datasets, validating statistical outputs against physical theory WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  4. Research hypothesis acceleration — uses an LLM to generate candidate explanations for observed atmospheric anomalies, then designs observational tests to confirm or refute each hypothesis, saving substantial iteration time Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab..
Advanced
  1. End-to-end forecast system design — architects hybrid workflows in which AI models handle high-volume pattern recognition and post-processing bias correction while the scientist retains ownership of model selection, uncertainty quantification, and operational thresholds Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  2. AI autonomy governance — sets explicit boundaries on AI autonomy within operational forecasting chains, defining which decision nodes require human sign-off and auditing AI outputs for systematic errors before operationalizing new pipelines Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  3. Cross-disciplinary knowledge synthesis — deploys AI tools to integrate atmospheric, oceanic, and paleoclimate data streams at scale, then leads interpretation of emergent signals with consequences for long-range climate projections and policy communication WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab. Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab..
  4. Organizational AI capability building — trains junior scientists to collaborate effectively with AI tools, establishing team standards for prompt design, output validation, and scientific accountability within meteorological workflows Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  5. Research publication acceleration — leverages AI to compress literature gap analysis, data visualization, and draft methodology sections, reducing time-to-submission while maintaining rigorous peer-review standards for all scientific claims Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab..
  6. Broadcast communication optimization — uses AI-generated audience-response models to tailor severe weather messaging for different media channels, then evaluates public comprehension outcomes to refine future communication strategies WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  7. Atmospheric model uncertainty quantification — directs AI ensemble post-processing tools to characterize probabilistic forecast uncertainty, then translates results into actionable risk thresholds for emergency management stakeholders Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  8. Long-range climate scenario modeling — orchestrates AI-augmented downscaling pipelines across multi-decadal projections, adjudicating between competing scenarios using physical constraints and observed trend validation Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  9. Novel atmospheric phenomenon investigation — applies AI anomaly-detection agents to identify signatures in observational data that exceed established climatological baselines, then leads multi-instrument field campaigns to characterize the underlying processes WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  10. Interdisciplinary AI integration — connects atmospheric science AI pipelines with adjacent data science domains (oceanography, hydrology, air quality), coordinating shared model governance and ensuring scientific coherence across system boundaries WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
Evidence pack
AEI usage
Task observations: 504
Augment share: 50.4%
Time saved: 89.1%
AI autonomy: 3.12
SAFI positioning
Top skill: Reading Comprehension
Score: 45.5 / 100
Quadrant: Q2_ai_augmented
precision: exact
WEF cluster
Data Science and Analysis
data_science_and_analysis

Ten durable-skill domains mapped to four proficiency/role levels for each occupation. Each statement is aligned to the Pathsmith taxonomy, derived from trusted grounding data and mapped to occupation-specific O*NET tasks and skills.

1Communication11 statements
Emerging
  1. Weather briefing basics — delivers simple forecast summaries to supervisors using standard meteorological terminology and prepared templates Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Scientific report drafting — writes structured summaries of atmospheric observations using established reporting formats O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Public forecast communication — translates technical meteorological data into accessible weather reports for general audiences via broadcast or digital media Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Interdisciplinary written reporting — prepares forecast briefings addressing the informational needs of government, business, or emergency management clients O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Active listening in data review — elicits clarification from colleagues on observational discrepancies during model interpretation sessions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Severe weather broadcasting — communicates time-sensitive warnings and probabilistic forecasts clearly across television, radio, and internet platforms to diverse public audiences Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Stakeholder briefing delivery — presents tailored atmospheric risk assessments to industry, aviation, or government clients, adjusting technical depth to audience expertise O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Scientific manuscript preparation — authors peer-reviewed research articles documenting atmospheric phenomena, methodology, and findings with precision and clarity Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. High-stakes crisis communication — leads real-time media briefings during extreme weather events, synthesizing rapidly evolving model outputs into authoritative public guidance Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Cross-sector science translation — designs communication frameworks that bridge atmospheric science findings and policy, regulatory, or operational decision-making for non-specialist audiences Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Mentored communication development — coaches early-career scientists in translating complex climate or forecast data into written and spoken formats appropriate for varied stakeholders Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
2Leadership10 statements
Emerging
  1. Data collection initiative — takes ownership of assigned observational data gathering tasks from surface stations, satellites, or radar without requiring repeated direction Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Team participation — contributes to forecast discussions and model review sessions by voicing observations and asking clarifying questions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Project responsibility — takes initiative on assigned atmospheric research projects, managing timelines and escalating data quality issues proactively Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Research program direction — leads a defined meteorological research effort, setting objectives, allocating observational resources, and guiding junior scientists through analysis phases Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Operational forecast leadership — directs the daily forecast cycle for a regional office or service unit, accountable for accuracy, timeliness, and public safety outcomes O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Cross-agency collaboration leadership — represents the atmospheric science team in interagency working groups addressing weather-related emergency preparedness or climate adaptation Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Scientific division leadership — shapes the strategic research agenda of an atmospheric science program, recruiting talent, securing funding, and driving adoption of next-generation modeling approaches Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Field campaign command — designs and leads large-scale observational campaigns, coordinating aircraft, ground stations, and multi-institutional teams to capture targeted atmospheric events O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Mentorship ecosystem development — establishes formal mentoring structures within a meteorological organization to accelerate professional growth of emerging scientists Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
3Metacognition10 statements
Emerging
  1. Forecast error reflection — identifies personal gaps in interpreting numerical weather prediction output and seeks targeted learning resources to address them Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Learning strategy awareness — recognizes which study approaches most effectively build understanding of atmospheric dynamics or thermodynamics Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Model interpretation self-monitoring — tracks recurring errors in personal forecast verification scores and adjusts interpretive heuristics accordingly Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Research planning awareness — evaluates the feasibility of chosen data sources and analytical methods before committing to a research design Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Systematic forecast calibration — maintains a personal verification log, diagnoses systematic biases in probabilistic weather predictions, and implements targeted correction strategies Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Cognitive load management during severe events — monitors decision-making quality under time pressure during fast-evolving weather emergencies and applies structured checklists to compensate for stress-induced bias Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Research methodology evaluation — critically assesses the appropriateness of selected statistical or physical modeling approaches relative to the research question before data collection begins Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Disciplinary knowledge mapping — constructs explicit maps of known uncertainties in atmospheric science and directs personal learning and team research toward highest-impact knowledge gaps Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Organizational epistemic culture — models and instills reflective scientific practice across a research group by instituting structured after-action reviews of forecast busts or failed research hypotheses Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Adaptive expertise under novel conditions — recognizes when an unprecedented atmospheric regime falls outside prior experience and deliberately suspends established heuristics to reason from physical principles Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
4Critical Thinking11 statements
Emerging
  1. Observational data scrutiny — identifies obvious outliers or instrument errors in surface station or upper-air datasets before incorporating them into forecast analysis Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Model output questioning — asks basic questions about why a numerical weather prediction model diverges from observational data rather than accepting output uncritically Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Multi-model ensemble reasoning — compares outputs from multiple numerical weather prediction models, evaluates their differing assumptions, and weights solutions based on historical skill Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Hypothesis formation — develops testable hypotheses about atmospheric phenomena and identifies the data and methods needed to evaluate them O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Evidence-based forecast adjustment — integrates surface, satellite, and radar observations to override or refine model guidance when physical reasoning supports departure Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Complex weather system diagnosis — applies synoptic and mesoscale analysis to decompose the physical drivers of a developing severe weather event, distinguishing primary from secondary forcing mechanisms Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Climate attribution analysis — evaluates competing explanations for observed climate trends, assessing the strength and limitations of paleoclimate, model, and observational evidence Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Research assumption auditing — systematically identifies and documents assumptions embedded in atmospheric models or datasets used in a scientific study Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Paradigm-level scientific critique — evaluates foundational assumptions in established atmospheric or climate theories and designs research programs to test their boundaries Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Operational forecast system assessment — conducts rigorous skill verification of numerical weather prediction systems, identifies structural model deficiencies, and recommends algorithm or parameterization improvements Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Cross-disciplinary evidence synthesis — integrates atmospheric, oceanographic, and paleoclimate evidence streams to construct a coherent, evidence-ranked understanding of long-range climate dynamics Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
5Collaboration11 statements
Emerging
  1. Shift team participation — shares observational findings and preliminary forecast thoughts openly during team briefings, supporting collective situational awareness Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Data sharing contribution — uploads processed observational datasets to shared repositories in formats accessible to collaborating scientists O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Interdisciplinary project contribution — works alongside oceanographers, hydrologists, or climate modelers to integrate atmospheric data into multi-domain research efforts Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Collaborative model development — contributes meteorological domain expertise to joint programming efforts developing weather data collection or visualization tools O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Conflict navigation in forecast consensus — mediates disagreements among meteorologists over divergent model interpretations to reach a defensible team forecast position Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Multi-agency field campaign coordination — collaborates with NOAA, NASA, university, and international partners to co-design observational strategies for targeted atmospheric research campaigns Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Operational forecast team integration — sustains high-functioning collaboration within a 24/7 forecast operations center, bridging knowledge gaps between senior and junior meteorologists Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Peer review participation — provides rigorous, constructive manuscript reviews for colleagues' atmospheric science submissions, advancing collective scientific quality Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. International research network leadership — builds and sustains multi-national scientific collaborations on global climate monitoring or atmospheric modeling initiatives, navigating institutional and cultural differences Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Public-private partnership cultivation — brokers collaborative frameworks between government meteorological agencies, commercial weather enterprises, and academic researchers to advance shared forecasting capabilities Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Cross-functional team mentoring — develops collaboration competencies in research teams by modeling inclusive dialogue, structured disagreement, and shared accountability for scientific outcomes Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
6Character10 statements
Emerging
  1. Forecast accountability — acknowledges personal forecast errors during verification reviews rather than attributing failures to external factors Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Ethical data reporting — discloses data quality limitations, instrument calibration issues, or model uncertainties transparently in forecast products and research outputs Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Professional conduct under pressure — maintains composure and accurate public communication during high-stakes severe weather events without sensationalizing risk Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Scientific integrity in publication — reports null results, failed hypotheses, and methodological limitations with full transparency in peer-reviewed atmospheric science research Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Public trust stewardship — delivers weather warnings and climate information with calibrated confidence, avoiding overstatement or understatement that could erode community trust in meteorological services Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Conflict of interest management — discloses funding sources and potential biases when presenting atmospheric research findings to government, commercial, or media audiences Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Organizational ethics leadership — establishes and enforces data integrity and publication ethics standards across a research division or operational forecast center Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Whistleblower accountability — surfaces and escalates systematic data falsification or methodological misconduct within atmospheric research programs, accepting professional risk to uphold scientific integrity Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Community science responsibility — advocates for equitable distribution of high-resolution weather warning services to underserved communities, embedding social responsibility into organizational meteorological practice Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
7Creativity11 statements
Emerging
  1. Visualization experimentation — explores non-standard graphical representations of meteorological data to reveal patterns obscured by conventional map formats Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Novel data source exploration — identifies unconventional observational inputs such as mobile crowdsourced sensors that could supplement standard weather networks Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Custom algorithm development — writes original computer programs to collect, process, or display meteorological data in ways that existing operational tools do not support Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Interdisciplinary analogy application — imports analytical techniques from oceanography, signal processing, or machine learning to address unresolved atmospheric science problems Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Research design innovation — formulates novel field campaign designs that capture atmospheric phenomena not addressed by prior observational strategies O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. New parameterization development — designs and tests original physical parameterization schemes for atmospheric model components such as convective initiation or boundary layer turbulence Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Hybrid forecasting methodology — integrates statistical post-processing, machine learning, and ensemble techniques into a novel forecast pipeline that outperforms existing operational approaches Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Science communication innovation — develops creative multimedia or interactive data products that make complex climate or severe weather science accessible to non-expert public audiences Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Foundational modeling innovation — conceives and validates a new theoretical framework or numerical modeling approach that advances the state of the science in atmospheric dynamics or climate prediction Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Transformative observational system design — invents a novel sensor configuration, satellite retrieval algorithm, or data assimilation strategy that substantially improves global atmospheric observation coverage O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Creative research agenda setting — defines an unconventional but scientifically rigorous research program that opens an entirely new subfield of atmospheric or space science inquiry Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
8Growth Mindset11 statements
Emerging
  1. Forecast bust engagement — treats significant forecast errors as structured learning opportunities by reviewing synoptic analysis and identifying where physical reasoning broke down Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Peer feedback receptivity — incorporates supervisor and colleague critique of weather briefings or research drafts without defensiveness Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Skill expansion in emerging technologies — proactively pursues training in new numerical weather prediction systems, satellite retrieval methods, or machine learning tools without waiting for organizational mandate Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Cross-domain learning transfer — applies knowledge gained from meteorological research to strengthen operational forecasting skills, and vice versa, through deliberate reflection on shared principles Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Constructive criticism application — revises atmospheric research manuscripts substantially in response to peer review feedback, treating reviewer challenges as scientifically productive Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Persistent research problem engagement — sustains focused effort on intractable atmospheric science questions across extended periods of inconclusive results, refining methodology iteratively Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Continuous forecast skill development — systematically studies high-impact forecast failures at the regional and national level to expand personal pattern recognition beyond direct operational experience Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Field failure recovery — redesigns observational strategies mid-campaign when instrument failures or unexpected atmospheric conditions invalidate the original data collection plan Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Paradigm shift adoption — abandons a long-held conceptual model of an atmospheric process when compelling new evidence demands it, publicly updating prior positions in peer forums Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Organizational learning culture — installs systematic forecast verification, research post-mortem, and knowledge-sharing rituals across an atmospheric science organization to institutionalize growth mindset Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Career-long mastery pursuit — sustains deliberate study of emerging climate science, computational methods, and observational technologies across a decades-long career without plateauing Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
9Mindfulness10 statements
Emerging
  1. Attention management during data review — maintains focused concentration when scanning large satellite or radar datasets for subtle atmospheric signatures over extended monitoring shifts Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Stress recognition — identifies personal early warning signs of cognitive fatigue during intense severe weather watch periods and uses brief recovery strategies Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Emotional regulation in high-pressure forecasting — manages anxiety during rapidly evolving severe weather events to sustain clear, structured decision-making without emotional reactivity Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Intentional model interpretation — pauses before committing to a forecast position to deliberately review all available observational and model data rather than anchoring prematurely Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Present-moment situational awareness — maintains real-time awareness of multiple data streams during severe weather operations, detecting rapid atmospheric transitions that automated systems lag in identifying Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Deliberate communication pacing — regulates speaking rate and word choice during live broadcast weather alerts to ensure public comprehension under conditions of personal time pressure Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Reflective research practice — schedules structured reflection periods between model runs or data collection phases to avoid confirmation bias in atmospheric data interpretation Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. High-stakes decision mindfulness — demonstrates consistent, calm judgment during life-safety meteorological decisions such as tornado warnings or hurricane evacuation guidance, modeling emotional regulation for the entire operations team Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Team attentional culture — designs shift structures, cognitive load protocols, and rest rotation policies within forecast centers that sustain collective mindfulness and reduce critical error rates Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Contemplative scientific inquiry — applies intentional open-attention practices to atmospheric research, remaining genuinely receptive to anomalous data signals that challenge prevailing theoretical models Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
10Fortitude11 statements
Emerging
  1. Adverse weather field endurance — completes data collection assignments in physically challenging field conditions such as extreme cold, high winds, or storm environments without abandoning the observational protocol Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Research setback persistence — continues refining atmospheric model code or data analysis scripts through repeated debugging cycles without disengaging from the problem Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Extended forecast duty resilience — sustains forecast accuracy and public communication quality across prolonged severe weather events requiring continuous operational coverage beyond normal shift duration Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Grant rejection recovery — resubmits atmospheric research proposals after funding rejection, incorporating reviewer feedback and strengthening the scientific rationale Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Uncertain forecast courage — issues a definitive severe weather warning under conditions of significant model uncertainty when the physical evidence supports the decision and public safety demands it Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Long-duration research perseverance — sustains a multi-year atmospheric or climate research program through funding cycles, inconclusive results, and personnel changes without abandoning the core scientific objective Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Public criticism resilience — maintains scientific integrity in climate or weather forecast communication when facing organized public or political opposition to meteorological findings Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. High-stakes operational endurance — performs reliably as the lead forecaster during a multi-day catastrophic weather event, sustaining analytical rigor and public communication quality under sustained organizational and public pressure Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Decade-scale scientific commitment — pursues an under-resourced but scientifically important atmospheric research question across career setbacks, technology limitations, and shifting funding priorities until breakthrough results are achieved Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Institutional courage in science policy — publicly advocates for evidence-based meteorological or climate science positions in adversarial policy environments, accepting professional and reputational risk Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Organizational resilience leadership — guides an atmospheric science division through major disruptions such as budget cuts, technology failures, or catastrophic operational forecast events, restoring function and morale with strategic resolve Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
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Source anchors that ground each statement

Related titles
Aerologist · Air Analyst · Astrochemist · Atmospheric Chemist · Atmospheric Scientist · Broadcast Meteorologist · Climate Change Risk Assessor · Climatologist · Computer Meteorologist · Forecaster · General Forecaster · Hurricane Tracker
RAPIDS apprenticeships
O*NET skills
Reading ComprehensionActive LearningCritical ThinkingActive ListeningSpeakingScienceWritingComplex Problem SolvingJudgment and Decision MakingMathematicsSystems AnalysisLearning StrategiesMonitoringSocial PerceptivenessCoordinationInstructingTime Management
Knowledge domains
MathematicsPhysicsGeographyComputers and ElectronicsEnglish LanguageCommunications and MediaCustomer and Personal ServiceChemistry
Abilities
Oral ExpressionInductive ReasoningOral ComprehensionWritten ComprehensionDeductive ReasoningWritten ExpressionSpeech ClarityProblem SensitivityInformation OrderingNear Vision
Work styles
Attention to DetailDependabilityIntellectual CuriosityAchievement OrientationTolerance for AmbiguityAdaptability
Technology
Graphics or photo imaging softwareAnalytical or scientific softwareVideo creation and editing softwareObject or component oriented development softwareOperating system softwareGeographic information systemWeb page creation and editing softwareDevelopment environment softwareMap creation softwareData base user interface and query software
Tasks · seed anchors for statements
  1. Develop or use mathematical or computer models for weather forecasting.
  2. 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.
  3. Conduct meteorological research into the processes or determinants of atmospheric phenomena, weather, or climate.
  4. Formulate predictions by interpreting environmental data, such as meteorological, atmospheric, oceanic, paleoclimate, climate, or related information.
  5. 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.
  6. Prepare forecasts or briefings to meet the needs of industry, business, government, or other groups.
  7. Gather data from sources such as surface or upper air stations, satellites, weather bureaus, or radar for use in meteorological reports or forecasts.
  8. Develop computer programs to collect meteorological data or to present meteorological information.
CIP education codes
30.350130.500140.040140.040240.040340.040440.0499

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.