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Found 5 result(s)

Tropical Atmosphere Ocean Project

TAO/TRITON array

Subject(s)
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Real-time data from moored ocean buoys for improved detection, understanding and prediction of El Niño and La Niña.

NCAR UCAR Climate Data Guide

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Search and access 201 data sets covering the Atmosphere, Ocean, Land and more. Explore climate indices, reanalyses and satellite data and understand their application to climate model metrics. This is the only data portal that combines data discovery, metadata, figures and world-class expertise on the strengths, limitations and applications of climate data.

NCEP/NCAR Reanalysis Project

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The NCEP/NCAR Reanalysis Project is a joint project between the National Centers for Environmental Prediction (NCEP, formerly "NMC") and the National Center for Atmospheric Research (NCAR). The goal of this joint effort is to produce new atmospheric analyses using historical data (1948 onwards) and as well to produce analyses of the current atmospheric state (Climate Data Assimilation System, CDAS).

Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations

CALIPSO

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Country
The CALIPSO satellite provides new insight into the role that clouds and atmospheric aerosols play in regulating Earth's weather, climate, and air quality. CALIPSO combines an active lidar instrument with passive infrared and visible imagers to probe the vertical structure and properties of thin clouds and aerosols over the globe. CALIPSO was launched on April 28, 2006, with the CloudSat satellite. CALIPSO and CloudSat are highly complementary and together provide new, never-before-seen 3D perspectives of how clouds and aerosols form, evolve, and affect weather and climate. CALIPSO and CloudSat fly in formation with three other satellites in the A-train constellation to enable an even greater understanding of our climate system.

PSD Climate and Weather Data

NOAA, ESRL, PSD, CWD

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The NOAA/ESRL Physical Sciences Division (PSD) conducts weather and climate research to observe and understand Earth's physical environment, and to improve weather and climate predictions on global-to-local scales. PSD archives a wide range of data ranging from gridded climate datasets extending hundreds of years to real-time wind profiler data at a single location. The data or products derived from this data, organized by type, are available to scientists and the general public .