
Academic Journal
Q1Journal of Atmospheric and Oceanic Technology
About Journal of Atmospheric and Oceanic Technology
About Journal of Atmospheric and Oceanic Technology
Journal of Atmospheric and Oceanic Technology is a peer-reviewed scholarly journal published by 303 (United States). It focuses on Q1. Publication coverage spans 1985-1994, 1996-2026.
Key indicators: ISSN 1520-0426, 0739-0572; H-index 154.
Understanding This Journal's Metrics
Journal metrics help researchers assess fit, but they must be interpreted in context:
- H-index (154): Exceptionally high — 154 articles have each been cited at least 154 times. This indicates deep, sustained influence in the field.
Publishing in Journal of Atmospheric and Oceanic Technology
An established venue in its field. The journal welcomes solid, well-executed research. Ensure your manuscript fits the stated scope and follows author guidelines carefully.
- Scope fit: Confirm your research aligns with Q1. Off-scope manuscripts are typically desk-rejected quickly.
- Author guidelines: Follow formatting, reference style, and article-type requirements exactly — non-compliant manuscripts may be returned without review.
Is This Journal Right for Your Paper?
- Audience match: Will the journal's readers cite and build on your findings?
- Timeline: Higher-tier journals mean longer review and higher rejection risk. Balance prestige against your schedule.
- Indexing: Confirm indexing in Web of Science, Scopus, and PubMed (if biomedical) meets your institutional requirements.
- Open access needs: Check funder mandates and whether the journal offers compliant OA options.
Frequently Asked Questions
What is the ISSN of Journal of Atmospheric and Oceanic Technology?
1520-0426, 0739-0572.
Who publishes Journal of Atmospheric and Oceanic Technology?
303.
What are Journal of Atmospheric and Oceanic Technology's metrics?
H-index 154.
Is Journal of Atmospheric and Oceanic Technology peer-reviewed?
Yes — it is a peer-reviewed scholarly journal indexed in major academic databases.
Source-backed journal facts
Topics in published research
Meteorological Phenomena and Simulations; Oceanographic and Atmospheric Processes; Precipitation Measurement and Analysis; Atmospheric aerosols and clouds; Ocean Waves and Remote Sensing; Climate variability and models.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Initial Polarimetric Radio Occultation Results from Spire’s Nanosatellite Constellation: Vertical Moisture Structure Characteristics in and Near Precipitation from Closely-Spaced Observations
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2026-10-09 · DOI: 10.1175/jtech-d-25-0117.1Data-Driven Noise Estimation for Individual High-Frequency Radar Stations
Jordi Isern-Fontanet, Lucía Quirós-Collazos, Jordi Iglesias, Justino Martínez et al.
2026-10 · DOI: 10.1175/jtech-d-26-0021.1Vertical Hydrometeor Profiling Algorithm for DPR on board the GPM Satellite
Minda Le, V. Chandrasekar
2026-09-30 · DOI: 10.1175/jtech-d-26-0028.1Wind-Data Quality-Control Method Leveraging Instantaneous Image-Structure Characteristics
Wanchen Li, Zhengkun Qin, Bing Zhang, Xin Li et al.
2026-09-29 · DOI: 10.1175/jtech-d-26-0084.1Estimating Vertical Air Motion within Precipitating Clouds Using a Novel Dual-Frequency Radar Method: From Single-Site Validation to Multi-Site Application for an MJO Case Study
Nozomu Toda, Shoichi Shige, Christopher R Williams, Noriyuki Nishi et al.
2026-09-16 · DOI: 10.1175/jtech-d-26-0005.1An Adapted Mesocyclone and Tornado Detection Algorithm for X-band Phased Array Radar in China
Chao Wang, Liping Liu, Chong Wu, Zhaoming Li et al.
2026-09-10 · DOI: 10.1175/jtech-d-25-0034.1A Novel Hybrid Framework for Spatio-Temporal Reconstruction of HF Radar Surface Currents along the Western Andaman Sea
Arun Kumar, Samiran Mandal, Avijit Gangopadhyay
2026-09-08 · DOI: 10.1175/jtech-d-25-0110.1On-Orbit Calibration of the Tomorrow.io Microwave Sounders
S. Joseph Munchak, Ethan Nelson, Emma Watson, Scott Williams et al.
2026-09 · DOI: 10.1175/jtech-d-25-0084.1SST Bias Correction Using Machine Learning Methods
Seonju Lee, Andrew Harris, Thomas M. Smith
2026-09 · DOI: 10.1175/jtech-d-25-0056.1Considerations for WxUAS Wind Speed Estimation
Tyler M. Bell, Antonio R. Segales, Joshua G. Gebauer, Elizabeth N. Smith et al.
2026-09 · DOI: 10.1175/jtech-d-25-0033.1Real-Time Automated Quality Control of Extreme Precipitation Data from Automatic Weather Stations in Peru Using Deep Learning and Geostationary Satellite Images
Diego Paredes, Edwin Villanueva, Ken Takahashi, Clara Oria et al.
2026-09 · DOI: 10.1175/jtech-d-23-0116.1Computational Performance of the Multigrid Beta Filter (MGBF) for Covariance Synthesis
Miodrag Rancic, R. James Purser, Manuel S. F. V. De Pondeca, Ting Lei et al.
2026-09 · DOI: 10.1175/jtech-d-24-0136.1Journal Information and Table of Contents
2026-09-01 · DOI: 10.1175/jtech-439coverA Comparison of Methods for Estimating Vertical Wind from Dropsondes
Nicholas E. Johnson, Brian H. Tang, Kristen L. Corbosiero, Holger Vömel et al.
2026-09 · DOI: 10.1175/jtech-d-25-0126.1An Improved C-Band Rainfall Attenuation Correction for Operational Weather Radars Using a Radiometric Constraint on Reflectivity and Polarimetry
Nawal Husnoo, Timothy Darlington, Robert Thompson, Anthony Illingworth et al.
2026-09 · DOI: 10.1175/jtech-d-25-0092.1Overcoming Ambiguity in Passive Microwave Observations of Snowfall Regimes Using Machine Learning
Veljko Petkovic, Marko Orescanin, Lisa Milani, Yulan Hong et al.
2026-09 · DOI: 10.1175/jtech-d-25-0120.1Mapping the Ice Draft of the Dotson Ice Shelf with a Long-Range ADCP on an Autonomous Underwater Vehicle
Stina Wahlgren, Anna Wåhlin, Karen J. Heywood
2026-09 · DOI: 10.1175/jtech-d-25-0075.1Resonant Platform Response and Vertical Velocity Biases in ADCP Measurements from Quasi-Lagrangian Platforms
Andrey Y. Shcherbina, Eric A. D’Asaro
2026-08-14 · DOI: 10.1175/jtech-d-26-0022.1Journal Information and Table of Contents
2026-08-01 · DOI: 10.1175/jtech-438coverMechanical Origins of the Pressure Correction Parameter CPcor in Electrode-Type Conductivity Cells of Sea-Bird Scientific CTD Sensors
Ettore Barbieri, Taiyo Kobayashi
2026-08 · DOI: 10.1175/jtech-d-26-0013.1Reviews
Community Reviews
Version History
October 9, 2026 at 9:40 pm
October 2, 2026