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Artificial Intelligence for the Earth Systems
Bulletin of the American Meteorological Society
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Journal of Climate
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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 6 (1989): Issue 3 (Jun 1989)
Print ISSN:
0739-0572
Online ISSN:
1520-0426
ARTICLES
Minisodar Measurements of Rain
Evaluation of Liquid Water Measuring Instruments in Cold Clouds Sampled during FIRE
The Low-Frequency Drift of Paroscientific Pressure Transducers
Field Intercomparison of Ground-Based Cloud Physics Instruments at Whitetop Mountain, Virginia
Pulse Compression and Sea Level Tracking in Satellite Altimetry
A Photoelectric Technique for Measuring Lightning-Channel Propagation Velocities from a Mobile Laboratory
Considerations in Estimating Horizontal Wind Gradients from an Individual Doppler Radar or a Network of Wind Profilers
Estimation of Divergence in the Prestorm Boundary Layer
Comparison of Simulated Rain Rates from Disdrometer Data Employing Polarimetric Radar Algorithms
Radar Receiver Calibration by Means of Multiple Processing of Weather Echoes
Momentum Flux Measurements over Mountains: Problems Associated with the Symmetrical Two-Beam Radar Technique
The K-Gill: A Twin Propeller-Vane Anemometer for Measurements of Atmospheric Turbulence
A New Way of Anemometer Calibration and Its Application to a Sonic Anemometer
NOTES AND CORRESPONDENCE
Comments on “A Quality Control Program for Surface Mesonetwork Data”
Reply
Reducing Dew and Frost on the Dames of Net Pyrradiometers
Effect of Drop Oscillations on Spectral Moments and Differential Reflectivity Measurements
Recovering “Lost” Data: An Adaptive, Least-Squares Outlier Detection Technique
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