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Climate change poses a first-order threat to human civilisation and governments across the world, their agencies and big and small corporations have announced climate emergencies and made commitments towards net zero emissions across a range of target dates. Regulators have tasked financial institutions in the insurance and banking sectors to expose their existing portfolios and lending practices to scrutiny as to resilience levels, preparedness and knowledge base relating to property risk level impacts from existing and emerging climate-driven property perils. The scope of these investigations has mobilised a range of consultancies and emerging climate service providers (CSPs) to support regulatory oversight and provide modelling input relative to expertise in a range of environmental issues driven by climate change. The combination of global emission scenarios and general circulation models (GCMs) with existing expertise in modelling real-world problems such as flooding, coastal erosion, storm and subsidence has produced forward-facing forecasts across the natural physical and societal risks. The regulatory results at portfolio levels have necessitated financial institutions scenario planning down to property address levels to assess overall scale of impacts and the possible provisioning requirements against multiple probabilities over decadal horizons out to 2100. These high-level assessments will in the next few years feed directly into valuation and property investigation for origination loans and the cash buyer. CSPs will inevitably seek to monetise a return on their investment in modelling for financial institutions and their unique exposure to portfolio-level provisioning as consultants to these organisations reporting to the regulator. How this data at a property level is interpreted spatially and temporally will be a unique new challenge for chartered surveyors and other property professionals within lending institutions and within the conveyancing sector. This paper looks at the development of portfolio-level climate change reporting, the scientific basis for decisioning and the real risks of assuming that scenario precision produces accurate climate outcomes at the property level. A range of evolving rule sets are proposed for lenders, valuation specialists and conveyancers to ensure reporting is fit for intended purpose. [ABSTRACT FROM AUTHOR]

The increased use of aggregated data in property risk processing builds on the rapidly evolving economic benefits of automated 'big property' solutions in land and property assessment. This trend shadows the evolution of personal credit files as open banking trends making aggregation of people with property far easier in the 1/10thsecond ranges that drive many of today's 'decision in principle' consumer solutions. The organisation of property with known geolocational parameters, unique property identifiers and associated property data attributes has been an accelerating phenomenon over the last decade. Chartered surveyors have not, however, benefitted substantially from these innovations and emerging trends in data organisation and aggregation. Legacy processes in the corporate environment and 'cost of change' in the private client sector have combined to stifle real progress in integrating modern data systems, machine learning (ML) and data capture and retention. Existing and new technologies, data availability, data aggregation, data storage and geospatial referencing should significantly improve reporting and recommendations relating to property condition and risk profiling; however, the nature of legacy systems, the differing requirements of large corporate clients versus private clients and the discontinuities in data are all hampering modernisation of approach. This paper looks at the evolution and convergence of big property data and provides a roadmap for the surveying profession and the sectors instructing clients to benefit from modern data processing and innovation in property risk. [ABSTRACT FROM AUTHOR]