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Artificial Intelligence for the Earth Systems
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JOURNALS
Artificial Intelligence for the Earth Systems
Bulletin of the American Meteorological Society
Community Science
Earth Interactions
Journal of Applied Meteorology and Climatology
Journal of Atmospheric and Oceanic Technology
Journal of Climate
Journal of Hydrometeorology
Journal of Physical Oceanography
Journal of the Atmospheric Sciences
Monthly Weather Review
Weather and Forecasting
Weather, Climate, and Society
Meteorological Monographs
BROWSE
PUBLISH
SUBSCRIBE
ABOUT
Advanced Search
Help
Journal of Atmospheric and Oceanic Technology
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Issue
Journal
Volume 35 (2018): Issue 3 (Mar 2018)
Print ISSN:
0739-0572
Online ISSN:
1520-0426
ARTICLES
An Algorithm for Classifying Unknown Expendable Bathythermograph (XBT) Instruments Based on Existing Metadata
An Objective Method for Determining Ocean Mixed Layer Depth with Applications to WOCE Data
On the Use of Radiosondes in Freezing Precipitation
Doppler Lidar Observations of the Mixing Height in Indianapolis Using an Automated Composite Fuzzy Logic Approach
Detection of Intense Ice Precipitation with GPM/DPR
Autonomous Sampling of Ocean Submesoscale Fronts with Ocean Gliders and Numerical Model Forecasting
Smartphone Pressure Collection and Bias Correction Using Machine Learning
Cloud-Assisted Retrieval of Lower-Stratospheric Water Vapor from Nadir-View Satellite Measurements
Adaptive and High-Resolution Estimation of Specific Differential Phase for Polarimetric X-Band Weather Radars
Performance of the WRF Model for Surface Wind Prediction around Qatar
Estimation of Rain Rate from Airborne Doppler W-Band Radar in CalWater-2
Hourly Observed Internal Waves by Geostationary Ocean Color Imagery in the East/Japan Sea
Fine Structure, Instabilities, and Turbulence in the Lower Atmosphere: High-Resolution In Situ Slant-Path Measurements with the DataHawk UAV and Comparisons with Numerical Modeling
A Methodology to Determine Recipe Adjustments for Multispectral Composites Derived from Next-Generation Advanced Satellite Imagers
Efficient Methods to Account for Cloud-Top Inclination and Cloud Overlap in Synthetic Visible Satellite Images
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