As of today (14 September 2021) CLIMsystems is respecting the COVID-19 National Emergency declared by the New Zealand Government and our office is open - with restrictions. All visitors must wear a mask and sign-in using the QR code app or physically sign-in. We will update our status on the next change in COVID level announcement for our region.
SimCLIM is a software tool designed to facilitate the assessment of risks from climate change for sustainability officers, consultants, policy makers, academics, non-governmental and governmental organizations and students.
SimCLIM uses the latest CMIP5 climate data. Maps, graphs and charts of various aspects of climate change can be generated spatially and for sites, for cities, provinces/states, nations, and the world. The flexibility of SimCLIM is limitless. Now the power to model past and future climate can be in your hands!
Global included (0.5°x0.5° or ca. 50kmx50km; sea level rise 0.25°x0.25° or ca. 25x25km)
All countries/regions/subregions available (resolution dependent on country area, most 1kmx1km)
Specific countries with states are available on request
Some continents available on request
Which climate variables can you assess?
Monthly averages of:
Minimum Temperature (˚C)
Maximum Temperature (˚C)
On request – Solar (W/m2) ; Relative humidity (%); Wind speed (m/s)
AR5: Support for the four key representative concentration pathway scenarios: RCP 2.6; 4.5; 6.0; and 8.5.
Climate scenarios including minimum, maximum and mean temperature available with 40 general circulation models to choose from and to apply in ensembles for virtually any place on Earth.
CORDEX Regional Climate Model (RCM) data available for nearly all the CORDEX regions of the world. Their inclusion with SimCLIM 4.0 supplements the 40 GCMs already available and can be used individually, as a group or combined with the GCMs in a master ensemble. The user has complete control over the mix of GCMs and RCMs that can be applied.
Flexible Windows-based program that can apply a wide range of previously downscaled data at virtually any scale (local to global) so that what if scenarios can be rapidly developed
Scientifically robust methods are applied that are based on IPCC guidelines, the latest climate science and an expert panel of advisors.
Climate data is presented in formats that are easily understood and transparent.
Downscaled data that is derived from virtually any statistical or dynamical method can be post-processed and added to SimCLIM so it can drive the generation of spatial scenarios as a member of a multi model ensemble.
Outputs can be exported to GIS programs such as ArcGIS and tabular data can be quickly exported to Excel for further analysis and graphing.
Extreme daily precipitation analysis AR5 dataset now with 22 general circulation model patterns.
Highlights for SimCLIM Desktop 4.0
Ensembles: Ensembles are now easy to create as you use on the fly; you no longer need to create and manage "ensemble templates".
Overhauled the Site Specific SLR and Climate Scenario Generators with a new interface and functionality