The development of early warning systems and contingency plans in relation to extreme weather events and assessment of risk and vulnerability of agricultural systems to different climate change scenarios

The development of early warning systems and contingency plans in relation to extreme weather events and assessment of risk and vulnerability of agricultural systems to different climate change scenarios

Design and Development of Early Warning System for Desertification and Land Degradation

Early warning systems are key components of strategies to reduce risk. This research, by adopting a systematic approach in the management of the risk of desertification and by including previously developed models and systems, offers an integrated efficient structure in terms of early warning for the risk of desertification as a pilot system for semi-arid areas of west Golestan Province in IRAN...

Caspian Sea south coast future climate change estimations through regional climate model

. Caspian Sea south coast future climate change estimations through regional climate model many physical of the procedures related to climate change are not perceived thoroughly. Scientific knowledge used to show those procedures completely, and to analyses forecasts is so complex, since most current studies about climate physical model have been done through semi experimental and random model...

Modeling of Climate Change Effects on Groundwater Resources: The Application of Dynamic Systems Approach

The purpose of the present study was the simulation of climate change effects on groundwater resources in Iran by using the dynamic systems approach. The approach was performed through system dynamics modeling process including problem explanation, system description, model development, model testing, and the use of the model for policy analysis. The impact of the application of various exogeno...

Impacts of climate change on extreme precipitation events in arid (Bandar Abbas) and semi-arid (Shahrekord) stations in Iran

The aim of this paper is to project extreme precipitation events in an arid and a semiarid station. In order to project climate change based on general circulation models (GCMs), we have applied LARS-WG[1] downscaling tool. This stochastic weather generator down-scaled the climate of two synoptic stations using HADCM3 model and A2 emission scenario for 2040. We extracted extreme precipitation e...