Historical climate analysis, location-based forecasting, and custom data tools — tailored for agriculture, construction, events, planning, and any team that needs to make better decisions from weather and climate data.
Generic weather apps tell you whether to bring an umbrella. Our climate and data solutions tell you whether a proposed agricultural calendar aligns with historical rainfall patterns, how a construction programme should be sequenced around statistically likely wet periods in your region, or whether an outdoor event date carries meaningful weather risk based on decades of local records.
At Aeris Spatial, we combine spatial GIS expertise with access to authoritative Australian and global climate datasets — and the ability to build custom tools that put that data directly in your team's hands. Whether you need a one-off analysis for a project report, an ongoing data feed, or a bespoke desktop or browser-based application, we work with you to deliver results in the format you need. Our climate work sits alongside our broader geospatial consulting NSW services and our GIS data processing capabilities.
Built on the same infrastructure as AerisCast — our free public weather tool — our climate solutions extend that capability into custom analysis, historical datasets, and structured outputs for professional use.
We deliver climate and data solutions across a wide range of industries and project types:
Bespoke desktop Python applications and browser-based HTML tools built around your specific data formats and workflows — so your team can process, visualise, and export climate and spatial data without specialist GIS software or scripting knowledge.
Seasonal rainfall outlooks, frost risk windows, evapotranspiration analysis, and historical growing season statistics for individual paddock coordinates — helping farmers and agronomists time planting, harvesting, and irrigation.
Probabilistic wet weather allowance calculations for construction programmes, historical workable days analysis, and wind/temperature risk flags for specific project sites — reducing schedule risk and insurance exposure.
Location-specific forecast summaries, historical precipitation percentiles for event dates, and multi-day weather risk reports for outdoor concerts, festivals, markets, and sporting events — anywhere in Australia.
Climate exposure profiles for development sites including heat stress days, projected rainfall shifts under climate change scenarios, and extreme wind frequency analysis to support environmental impact statements and development applications.
Solar irradiance and wind speed statistics for site feasibility, seasonal generation forecasts, and grid stress period analysis for extreme heat events — supporting feasibility studies for solar, wind, and battery storage projects.
Historical temperature and rainfall trend analysis for ecological impact assessments, fire weather index statistics, and drought frequency data to support biodiversity offset calculations and environmental planning reports.
Extreme event return period analysis, historical storm frequency mapping, and spatial climate risk profiling for portfolios of properties — delivered as GIS layers or structured datasets compatible with actuarial modelling workflows.
We draw on authoritative, peer-reviewed datasets from Australian and international sources:
We tailor outputs to your project and team requirements. Typical deliverables include:
We work with you to understand exactly what climate question your project needs to answer — the site, time period, variables, and how results will be used.
We identify the most appropriate datasets for your location and question, cross-check source quality, and document data provenance for report inclusion.
Using GIS tools and climate processing workflows, we extract, analyse, and spatially reference the data to your specific site and project requirements.
We deliver outputs in your preferred format with clear documentation, and remain available for follow-up questions from your team or reviewing agency.
One of our most distinctive capabilities is building bespoke data processing tools tailored to your organisation's specific workflows. AerisCast is a public example — but we regularly build private, purpose-built versions for clients who need something their off-the-shelf software can't do.
Standalone GUI applications built with Python — packaged so they run on any Windows or Mac machine without requiring Python to be installed. Typical uses include batch climate data extraction, automated report generation, raster and shapefile processing, and format conversion between GIS and modelling software.
Single-file HTML applications that run entirely in a web browser with no server or installation required. Ideal for interactive data visualisation, map-based explorers, forecast dashboards, and team-facing tools that need to work on any device — including tablets in the field.
Python scripts and scheduled workflows that automatically fetch, process, and format climate or spatial data from APIs and government datasets — feeding structured outputs directly into your reporting templates, databases, or GIS projects without manual steps.
Browser-based interactive maps built with Leaflet or similar libraries, allowing your team or clients to explore spatial climate data, toggle layers, query site-level statistics, and export results — all from a link, with no GIS software needed.
All custom tools are delivered as standalone files — no ongoing licence fees, no cloud dependency, no vendor lock-in. Your team owns the tool and can run it indefinitely.
Our Australian Snow Outlook 2026 is a live example of the Monte Carlo simulation and climate data visualisation capabilities we bring to client projects. Built on 71 years of Spencers Creek snow depth records and weighted by current ENSO, IOD, and SAM climate drivers — this is geospatial and climate analysis in action.
Read the Snow Outlook →AerisCast is our free, location-based 9-day weather forecast tool powered by MET Norway and the ECMWF global model. Get sub-daily forecasts for any location worldwide — no account required. It's a live demonstration of the kind of browser-based spatial data tool we build for clients, and the same data infrastructure that underpins our professional climate analysis services.
Open AerisCast →Climate and data solutions are scoped to your project. Simple site-level reports start from $180. Complex multi-site analyses, ongoing data feeds, and custom dashboard builds are quoted individually. Contact us for a fast, obligation-free scoping conversation.
Request a Free QuoteLocation-based climate forecasting uses historical climate records, gridded weather model outputs, and site-specific parameters — including elevation, terrain, and proximity to the coast — to generate tailored weather and climate information for a specific coordinate. Unlike generic regional forecasts, this approach accounts for local factors that can significantly affect conditions on the ground. It is particularly valuable for agricultural planning, construction scheduling, event risk management, and environmental assessment.
Yes. We can extract and analyse historical climate datasets from sources including the Bureau of Meteorology, ERA5 reanalysis, and AWAP gridded data for any location in Australia. Outputs typically include statistical summaries, extreme event return periods, monthly and annual averages, and trend analysis — formatted for inclusion in reports or ready for use in further analysis.
Yes — this is one of our core capabilities. We build standalone Python desktop applications (packaged to run without any installation on the end user's machine) and single-file HTML browser tools for climate and spatial data processing. These can automate repetitive data extraction or formatting tasks, provide interactive visualisation of site-level data, or give non-technical team members access to analysis capabilities without needing GIS or coding skills. AerisCast is an example of the kind of browser tool we can build privately for your organisation.
Yes. We can provide location-specific projections based on CMIP6 global climate model ensembles for standard planning epochs (2030, 2050, 2090) and emissions scenarios (SSP2-4.5, SSP5-8.5). These are commonly required for infrastructure design life assessments, environmental impact statements, and strategic planning documents.
We work alongside planners, environmental consultants, and other project team members to deliver climate data in the formats their workflows require — whether that is GIS layers, structured spreadsheets, or summary statistics for a report appendix. We can slot into existing project teams without friction and tailor deliverables to match your report structure and submission requirements.
Yes. We build browser-based weather and climate dashboards tailored to your organisation's locations, variables, and use cases. These can be standalone tools or embedded into existing client portals. AerisCast is an example of the kind of interactive tool we can build — contact us to discuss a custom version for your team or client base.
All of Australia, and internationally where required. For historical Australian climate data, we primarily use Bureau of Meteorology and ERA5 sources, which provide comprehensive national coverage. For locations outside Australia, we use ERA5 and other global reanalysis datasets, along with the ECMWF forecast model that underpins our AerisCast tool.
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