Data colection/dificulties predicting climate change

• Difficulties in monitoring and predicting climate change include, timescales, spatial scales, interconnected systems, natural fluctuations and time delay between cause and affect
• The slowing of the North Atlantic gulf decreases temperatures lining Coast this is an example of an interconnected system
• Data collection for climate change may include monitoring ocean currents. Computer models, ice core data, satellite data and other
• We can use satellites to measure, wind velocity, ocean currents, wave height and vegetation cover
• Timescales make monitoring and predicting difficult, for instance shirt term time scale can involve sudden storm or wet winters or long term can involve a trend of winters with increasing rainfall
• Spatial scales can be local, rehional or global
• Spatial scales locally can involve sudden but slow moving storm causing flooding locally, globally may involve increasing global temperatures due to uv absorbtion
• Intercomnected systems make it difficult, e.g. chnage in jetstreams may cause temperature rise, or slowing of North Atlantic may cause temperature decrease
• Natural fluctuations make it difficult because all climatic factors fluctuate because they are influenced by variability in solar outpuy
• Time delay between cause and affect makes it difficult