National Academies Press: OpenBook

Finding the Forest in the Trees: The Challenge of Combining Diverse Environmental Data (1995)

Chapter:Appendix B: List of Abbreviations and Acronyms

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Suggested Citation:"Appendix B: List of Abbreviations and Acronyms." National Research Council. 1995. Finding the Forest in the Trees: The Challenge of Combining Diverse Environmental Data. Washington, DC: The National Academies Press. doi: 10.17226/4896.
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B
List of Abbreviations and Acronyms


AISC

Assessment and Information Services Center

ANC

Acid neutralizing capacity

ARM

Atmospheric Radiation Measurement (Program)

AVHRR

Advanced Very High Resolution Radiometer


BOREAS

Boreal Ecosystem-Atmosphere Study


CalCOFI

California Cooperative Oceanic Fisheries Investigation

CDIAC

Carbon Dioxide Information Analysis Center

CD-ROM

Compact Disk-Read Only Memory

CEES

Committee on Earth and Environmental Sciences

CIAD

Climate Impact Assessment Division of NOAA's Assessment and Information Services Center

CODATA

Committee on Data for Science and Technology


DAAC

Distributed Active Archive Center

DBMS

Data Base Management System

DDRP

Direct/Delayed Response Project

DOE

Department of Energy


EPA

Environmental Protection Agency

EROS

Earth Resources Observing System

ERP

Episodic Response Project

ESD

Environmental Sciences Division


FCMA

Fisheries Conservation and Management Act

FIFE

First ISLSCP Field Experiment

FSDB

Forest Science Data Bank


GIS

Geographic Information System

Suggested Citation:"Appendix B: List of Abbreviations and Acronyms." National Research Council. 1995. Finding the Forest in the Trees: The Challenge of Combining Diverse Environmental Data. Washington, DC: The National Academies Press. doi: 10.17226/4896.
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GOES

Geostationary Operational Environmental Satellite


ICSU

International Council of Scientific Unions

IGBP

International Geosphere-Biosphere Program

ILWAS

Integrated Lake-Watershed Acidification Study

ISLSCP

International Satellite Land Surface Climatology Project


LTER

Long-Term Ecological Research (Program)


MAGIC

Model of Acidification of Groundwater in Catchments


NADP

Nicotinamide adenine dinucleotide phosphate

NAPAP

National Acid Precipitation Assessment Program

NASA

National Aeronautics and Space Administration

NDVI

Normalized Data Vegetation Index

NMFS

National Marine Fisheries Service

NOAA

National Oceanic and Atmospheric Administration

NRC

National Research Council

NSF

National Science Foundation

NSWS

National Surface Water Survey


ORNL

Oak Ridge National Laboratory

OSTP

Office of Science and Technology Policy


PC

Personal computer


QA

Quality assurance

QC

Quality control


USAID

U.S. Agency for International Development

USNC

U.S. National Committee


WAIS

Wide Area Information Servers

WMO

World Meteorological Organization

Suggested Citation:"Appendix B: List of Abbreviations and Acronyms." National Research Council. 1995. Finding the Forest in the Trees: The Challenge of Combining Diverse Environmental Data. Washington, DC: The National Academies Press. doi: 10.17226/4896.
×
Page128
Suggested Citation:"Appendix B: List of Abbreviations and Acronyms." National Research Council. 1995. Finding the Forest in the Trees: The Challenge of Combining Diverse Environmental Data. Washington, DC: The National Academies Press. doi: 10.17226/4896.
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Page129
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During the last few decades of the 20th century, the development of an array of technologies has made it possible to observe the Earth, collect large quantities of data related to components and processes of the Earth system, and store, analyze, and retrieve these data at will. Over the past ten years, in particular, the observational, computational, and communications technologies have enabled the scientific community to undertake a broad range of interdisciplinary environmental research and assessment programs. Sound practice in database management are required to deal with the problems of complexity in such programs and a great deal of attention and resources has been devoted to this area in recent years. However, little guidance has been provided on overcoming the barriers frequently encountered in the interfacing of disparate data sets. This book attempts to remedy that problem by providing analytical and functional guidelines to help researchers and technicians to better plan and implement their supporting data management activities.

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