Space-time precipitation reflecting climate change
作者:
ISTVAN MATYASOVSZKY,
ISTVAN BOGARDI,
ANDRAS BARDOSSY,
LUCIEN DUCKSTEIN,
期刊:
Hydrological Sciences Journal
(Taylor Available online 1993)
卷期:
Volume 38,
issue 6
页码: 539-558
ISSN:0262-6667
年代: 1993
DOI:10.1080/02626669309492704
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A methodology has been developed and applied to an eastern Nebraska, USA, case study to estimate the space-time distribution of daily precipitation under climate change. The approach is based on the analysis both of the type and of the Markov properties of atmospheric circulation patterns (CPs), and a stochastic linkage between daily (here 500 hPa) CP types and daily precipitation events. Historical data and General Circulation Model (GCM) output of daily CPs corresponding to 1 × CO2and 2 × CO2are considered. Time series of both local and regional precipitation corresponding to each of those cases were simulated and their statistical properties were compared. Under the dry continental climate of eastern Nebraska, a highly variable spatial response to climate change was obtained. Most of the local and the regional average precipitation values reflect, under 2 × CO2, a somewhat wetter and a more variable precipitation regime in eastern Nebraska. The sensitivity of the results to the GCM utilized should be considered.
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