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Systematic Biases in Manual Observations of Daily Maximum and Minimum Temperature
Publisher: American Meteorological Society
Abstract: The authors demonstrate that manual observations of daily maximum and minimum temperature are strongly biased toward temperatures ending in certain digits. The nature and severity of these biases are quantified using ...
Quantifying Predictability Variations in a Low-Order Occan-Atmosphere Model: A Dynamical Systems Approach
Publisher: American Meteorological Society
Abstract: A dynamical systems approach is used to quantify the predictability of weather and climatic states of a low order, moist general circulation model. The effects on predictability of incorporating a simple oceanic circulation ...
Calculated Attractor Dimensions for Low-Order Spectral Models
Publisher: American Meteorological Society
Abstract: Advancing knowledge about the phase space topologies of nonlinear hydrodynamic or dynamical systems has raised the question of whether the structure of the attractors in which the solutions are eventually confined can be ...
Climate Science and the Broadcast Meteorologist
Publisher: American Meteorological Society
The Nature of Predictability Enhancement in a Low-Order Ocean-Atmosphere Model
Publisher: American Meteorological Society
Abstract: A low-order moist general circulation model of the coupled ocean-atmosphere system is reexamined to determine the source of short-term predictability enhancement that occurs when an oceanic circulation is activated. The ...
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