The IMAGE 2 Hundred Year (1890 - 1990) Data Base of the Global Environment (HYDE)
Klein Goldewijk CGM Battjes JJ
Klein Goldewijk CGM
Battjes JJ
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Series / Report no.
Open Access
Type
Report
Language
en
Date of publication
1995-05-31
Year of publication
Research Projects
Organizational Units
Journal Issue
Title
The IMAGE 2 Hundred Year (1890 - 1990) Data Base of
the Global Environment (HYDE)
Translated Title
De IMAGE 2 honderdjarige (1890 - 1990) mondiale
mileudatabase (HYDE)
Published in
Abstract
Het testen met historische gegevens is een belangrijke
stap tijdens de validatie van simulatiemodellen. Vanwege de brede strekking
en omvang hebben 'global change' modellen een enorme behoefte aan
historische data. Dit rapport presenteert de resultaten van een verzameling
historische gegevens in de vorm van een honderdjarige database, die gebruikt
kan worden voor het testen van 'global change' modellen. De database
bestaat niet alleen uit algemene onderwerpen zoals de bevolking, het
landgebruik, de veestapel, het nationaal inkomen en de toegevoegde waarde
van industrie en diensten, maar bevat ook specifieke data wat betreft de
energie/industrie sector, de atmosfeer en oceanen, en de terrestrische
biosfeer. Waar mogelijk zijn de data op landenbasis verzameld voor de
periode 1890 tot 1990. Sommige data zijn geografisch expliciet, echter dit
zijn zeer voorlopige eerste schattingen.
Testing against historical data is an important step for validating simulation models. Because of their wide scope and coverage, global change models require intensive amounts of data for testing. This report provides details for a hundred year data base that can be used to test global change models. It covers both general topics, such as population, land use, livestock, gross domestic product, and value added of industry and/or services, as well as specific data categories concerning energy/economy, atmosphere/ocean and the terrestrial environment. If possible, data are organized according to country and the period 1890 to 1990. Some data are also available with geographic detail, but these data are very preliminary.
Testing against historical data is an important step for validating simulation models. Because of their wide scope and coverage, global change models require intensive amounts of data for testing. This report provides details for a hundred year data base that can be used to test global change models. It covers both general topics, such as population, land use, livestock, gross domestic product, and value added of industry and/or services, as well as specific data categories concerning energy/economy, atmosphere/ocean and the terrestrial environment. If possible, data are organized according to country and the period 1890 to 1990. Some data are also available with geographic detail, but these data are very preliminary.
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DGM/LE
NOP
RIVM