>. . . The problem with IPCC temperature data, Dr. Soon explained, is that they combine urban and rural stations and only use homogenised data. At the various stations collecting data, there could be non-climatic biases. For example, a tree has grown that shades the instruments collecting temperature data. Another example is the urban heat island effect. Cities are warmer than the surrounding countryside. If many buildings have sprung up around instruments collecting temperature data, this increases the recorded temperature significantly. Other non-climatic biases include changes in instrumentation, a station moves, cutting down of nearby trees or shrubs and changes in land use. >By taking rural temperature data only, Dr. Soon demonstrates how the trends shown are supported by trends shown in sea surface temperatures, tree rings and glacial length records. This in turn proves that the upwards trend in global temperature as shown by IPCC is contaminated by urbanisation bias and urban blending. He also discussed the difficulties of measuring light intensity from the Sun and having overcome these, how data representing solar activity correlated to the temperature data from rural stations. . . . [Source Article](https://expose-news.com/2023/04/17/data-adj-to-create-the-impression-of-global-warming/)