Solve for dependency hellĪPSIM is a complex piece of software. And because simulations are independent from each other, you can run as many simulations as you have CPUs.
#Run apsim command line full#
When dealing with the latter, the overall performance grows linearly the more capacity there is available.Ĭrop modeling is, luckily, an embarrassingly parallel problem: it does not matter how much data or how many variables you have, each variable that changes means one full simulation that needs to run. Parallel computing can mean either distributed computing, where each processing thread needs to communicate with others between tasks (especially intermediate results), or it can be "embarrassingly parallel" where there is no such need.
#Run apsim command line software#
There are two major reasons for this: 1) it is hard to create and/or obtain access to high-resolution, geo-referenced, gridded datasets and 2) the most common installation of crop modeling software is in an end user's desktop or workstation that's usually running one of the supported versions of Microsoft Windows (system modelers tend to prefer the GUI capabilities of the tools to prepare and run simulations, which are then restricted to the computational power of the hardware used). For large area studies (landscape scale, e.g., a whole region or national level), the soil and climate data need to be upscaled or downscaled to the resolution of interest, which means increasing uncertainty. Historically, these models have been used primarily for small area (point-based) simulations where all the variables are well known.
#Run apsim command line simulator#
Some of the software available to do this includes CropSyst from Washington State University and the Agricultural Production Systems Simulator ( APSIM) from the Commonwealth Scientific and Industrial Research Organization (CSIRO) in Australia. In simple terms, it involves creating a model to quantify how a specific crop behaves under certain conditions then simulating altering a few variables to see how that behavior changes. That analysis can be done with tools such as agricultural systems models. This makes it critical to develop analysis capabilities to assess its impact and investigate possible mitigation and adaptation options. New Zealand's economy is dependent on agriculture, a sector that is highly sensitive to climate change.