ENSO as an integrating concept in earth science

Science

Volumn 314, Issue 5806, 2006, Pages 1740-1745

  McPhaden, Michael J ^a   Zebiak, Stephen E ^b   Glantz, Michael H ^c  

^a NOAA PACIFIC MARINE ENVIRONMENTAL LABORATORY   (United States)

^b Earth Institute   (United States)

^c NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; EARTH ATMOSPHERE; ECONOMIC AND SOCIAL EFFECTS; ENVIRONMENTAL IMPACT; FORECASTING; OSCILLATIONS; PUBLIC POLICY;

CLIMATE VARIABILITY; EARTH SYSTEM; SCIENTIFIC DISCIPLINES;

EARTH SCIENCES;

RAIN;

EL NINO-SOUTHERN OSCILLATION; ENVIRONMENTAL IMPACT; GLOBAL CHANGE; LA NINA; SOCIOECONOMIC IMPACT;

ATMOSPHERE; CARBON CYCLE; CLIMATE CHANGE; COLD; EL NINO; ENVIRONMENTAL TEMPERATURE; FORECASTING; GREENHOUSE EFFECT; HURRICANE; LA NINA; LANDSCAPE; PACIFIC OCEAN; PREDATOR PREY INTERACTION; PRIORITY JOURNAL; REVIEW; SOCIOECONOMICS; SOIL EROSION; SUNLIGHT; TROPICAL RAIN FOREST; WARMING; WEATHER;

ANIMALS; ATMOSPHERE; CARBON; CARBON DIOXIDE; CLIMATE; ECOSYSTEM; FORECASTING; PACIFIC OCEAN; PLANTS; POPULATION DYNAMICS; TEMPERATURE; WEATHER;

PACIFIC OCEAN;

EID: 33845702072     PISSN: 00368075     EISSN: 10959203     Source Type: Journal    
DOI: 10.1126/science.1132588     Document Type: Review

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80. Dynamical and statistical models in Fig. 3 are the National Aeronautics and Space Administration Global Modeling and Assimilation Office (NASA GMAO) model, the National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Prediction Coupled Forecast System (NCEP CFS) model, the Japan Meteorological Agency (JMA) model, the Scripps Institution of Oceanography (Scripps) model, the Lamont Doherty Earth Observatory (LDEO) model, the Australian Bureau of Meteorology Predictive Ocean Atmosphere Model for Australia (POAMA), the European Centre for Medium-Range Weather Forecasts (ECMWF) model, the United Kingdom Met Office (UKMO) model, the Korea Meteorological Administration (Korea SNU) model, the University of Maryland Earth System Science Interdisciplinary Center Intermediate Coupled Model (ESSIC ICM), European Centre Hamburg Model-Modular Ocean Model (ECHAM MOM), the Center for Ocean-Land-Atmosphere Studies Anomaly. (COLA ANOM) model, the NOAA Climate Prediction Center Markov (CPC MRKOV) model, the NOAA Climate Diagnostics Center Linear Inverse Model (CDC LIM), the NOAA Climate Prediction Center Constructed Analog (CPC CA) model, the NOAA Climate Prediction Center Canonical Correlation Analysis (CPC CCA) model, the Colorado State University Climatology and Persistence (CSU CLIPER) model, the University of British Columbia Neural Network (UBC NNET) model, the Florida State University Regression (FSU REGR) model, and the University of California at Los Angeles Theoretical Climate Dynamics (UCLA TCD) model.
81. We acknowledge funding from NOAA's Climate Program Office (M. J. M. and S. E. Z.) and the National Science Foundation (M. H. G.). Special thanks to T. Barnston, S. Tudhope, M. Holmgren, and R. Feely for helpful suggestions and to S. Hare for permission to reproduce Fig. 1. This is PMEL publication 2969.