TETYN: An easy to use tool for extracting climatic parameters from Tyndall data sets

doi:10.1016/j.envsoft.2007.11.006

Environmental Modelling & Software

Volume 23, Issue 7, July 2008, Pages 948-949

https://doi.org/10.1016/j.envsoft.2007.11.006 Get rights and content

Abstract

The recent and rapid change in climate seems to have strong impact on many aspects of agriculture, health, ecology, economy and the society. To model these impacts researchers need access to future and past climate databases, some of which are publicly available. One possible source of climate data sets is the collection of the Tyndall Centre for Climate Change Research. We developed an easy to use tool to obtain required climatic parameters from the Tyndall future (TYN SC) and past (CRU TS) data sets. Results of the query can be exported as comma separated value or as ESRI shape files.

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Software description

In recent years the importance of climate change has been rapidly growing in most disciplines, including agriculture, health, ecology, economy and social science. Many studies deal with the necessity of adaptation to climate change. Thus, researchers and decision makers need adequate data sources to analyze, model or forecast consequences of these changes. In response to such a need, various institutions and organizations produced data sets of a projected future climate.

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Acknowledgements

Financial support was received from the Hungarian Scientific Research Fund (OTKA T049157) and the NKFP 6-00079/2005 KLIMAKKT project.

References (2)

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T.D. Mitchell et al.
An improved method of constructing a database of monthly climate observations and associated high-resolution grids
International Journal of Climatology
(2005)

Cited by (5)

Spatially explicit modelling of changes in soil organic C in agricultural soils in Italy, 2001-2100: Potential for compost amendment
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Citation Excerpt :
resolution downloaded from the Climate Research Unit of the University of East Anglia (Mitchell et al., 2004). The climate data for the geographic window (Italy) were extracted utilizing the TETYN software (Solymosi et al., 2008). Monthly climate values for 2001–2100 were provided using outputs from 3 different Global Circulation Models (GCMs), namely HadCM3, PCM, and GCM2 (Mitchell et al., 2004), forced by 4 different CO2 emissions scenarios as defined in the ICPP Special Report on Emissions Scenarios (SRES; Nakicenovic et al., 2000) for a total of 12 different climate scenarios.
The aim of this work was to perform a spatially explicit simulation of the potential increase in C storage in compost-amended agricultural soils at the national scale in Italy under a changing climate. The simulation was performed with a widely used dynamic model of soil organic C (SOC) turnover.
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Amendment of all agricultural land in Italy with compost resulted in a potential gain of SOC, averaged for the different climate scenarios, of 210 Mt (range 199–220 Mt) corresponding to an increase of 29.9% with respect to baseline. The annual rate of C sequestration that can be obtained in Italy, taking account of the predicted, feasible compost production for 2020, is about 0.023 Mt C yr⁻¹. However, regional modelling identifies areas with a major potential for increasing SOC by means of adding compost and is useful for quantifying the importance of factors such as soil characteristics, land use and climate in predicting changes in SOC. In the present study, climate parameters and land use had a major impact on determining SOC accumulation.
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It responds to a growing need for efficient delivery mechanisms of climate change information. Currently most available tools rely on DMOs rather than downscaled projections: e.g. the Ozclim software (http://www.csiro.au/ozclim/home.do) developed by the CSIRO to provide regional projections across the Australian continent where various climate models' information are interpolated on a high resolution grid (Ricketts and Page, 2007); or the TETYN software (http://sourceforge.net/projects/tetyn/) which used global database of climate indices (Solymosi et al., 2008). Besides tool based on DMOs, a few attempts have been made to enhance the relevance of the climate information provided by on-line software for high resolution impact studies by downscaling climate change information.
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Software, Data and Modelling NewsTETYN: An easy to use tool for extracting climatic parameters from Tyndall data sets

Abstract

Section snippets

Software description

Acknowledgements

An improved method of constructing a database of monthly climate observations and associated high-resolution grids

International Journal of Climatology

Software, Data and Modelling News
TETYN: An easy to use tool for extracting climatic parameters from Tyndall data sets