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Climate information is important in decision making. Access to relevant and timely weather information is an important factor in increasing farmers' resilience to climate change. Information systems are considered essential for enhancing the ability of individuals, businesses and governments to adapt to change and climate change. Information users can use the information system to assist in making decisions about management adjustments to climate projections. Climate information should be communicated in languages understood by local farmers and linked directly to farm management decision-making processes to ensure information is timely and usable by small producers. The survey was conducted on the user's level of trust in the climate information system issued by the BMKG. No less than 59 respondents stated that the climate information obtained was very good, accurate and timely, received late, difficult to understand, diverse climate information did not reach all sectors. In order to remain productive in running the agricultural industry, accurate information is needed so that users can make optimal use of it. By knowing climate information, climate risks can be minimized.

Promoting sustainability, productivity, efficiency, and development of agricultural sector are the functions of utilization of appropriate information in terms of agricultural climate information system (ACIS). In this regard, the main question is that, to what extent does the ACIS lead to or provide the necessary context for agricultural development? This research aimed to employ causal mapping approach to investigate cognitive structure of human actors in a climate information system. This explorative qualitative research used case study methodology. This paper is an examination and reflection upon analysis of qualitative data reports, with particular attention to the process of interactively elicited causal maps based on focus group interviews. An exploratory coding approach was used to identify concepts that emerged from the interview transcripts. The relevant knowledge is gathered through the tacit understandings of climate information producers (2 groups), extensionists (6 groups), and users (7 groups) in Fars province to reach to the point of redundancy. Investigating causal maps revealed that, actors perceived climate information system challenges as economic, information processing, socio-political, organizational, and technical challenges. The study provided some suggestions to reach to a responsive short term and sustainable long term climate information system in Fars province.