Detection of forced climate signals. Part II: Simulation results

Journal Article · Wed Mar 01 04:00:00 EST 1995 · Journal of Climate

DOI:https://doi.org/10.1175/1520-0442(1995)008<0409:DOFCSP>2.0.CO;2· OSTI ID:86325

North, G R ^[1]; Kim, K Y ^[2]

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1. Texas A&M Univ., College Station, TX (United States)
2. Applied Research Corp., College Station, TX (United States)

This paper considers some tests of the procedures suggested in Part I on the detection of forced climate signals embedded in natural variability. The optimal filters are constructed from simulations of signals and natural variability in a noise-forced energy balance model that explicitly resolves land-sea geography and that has an upwelling-diffusion deep ocean. Filters are considered for the climate forcing of faint sunspot signals and for the greenhouse warming problem. In each case, the results are promising in that signal-to-noise ratios of unity or greater might be achievable. Rather than conclusive arguments, these exercises are meant to bring out key aspects of the detection problem that deserve the most attention and which parts of the procedure are most sensitive to assumptions. 20 refs., 7 figs., 2 tabs.

• DOE Contract Number: FG05-91ER61221
• OSTI ID: 86325
• Journal Information: Journal of Climate, Journal Name: Journal of Climate Journal Issue: 3 Vol. 8; ISSN 0894-8755; ISSN JLCLEL
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
99 GENERAL AND MISCELLANEOUS
AIR-WATER INTERACTIONS
AMPLITUDES
CALCULATION METHODS
CLIMATE MODELS
CLIMATES
CLIMATIC CHANGE
DATA ANALYSIS
EIGENFUNCTIONS
FLUCTUATIONS
FORCING FUNCTIONS
SEAS
SIGNAL-TO-NOISE RATIO
SIMULATION
TEMPERATURE DISTRIBUTION