![]() Based on annual mean values of several climatic variables, the VECODE model computes the evolution of the vegetation cover described as a fractional distribution of desert, tree, and grass in each land grid cell. (1997) has been included in the coupled ECBILT-CLIO model. Vegetation: The terrestrial vegetation module developed by Brovkin et al.Ocean–sea ice: The CLIO model (Goosse and Fichefet, 1999) is made up of a primitive-equation, free-surface ocean general circulation model coupled to a thermodynamic–dynamic sea-ice model.Atmosphere: The atmospheric component is ECBILT (version 2) (Opsteegh et al., 1998)a global, spectral, quasi-geostrophic model, truncated at T21, with simple parameterisations for the diabatic heating due to radiative fluxes, the release of latent heat, and the exchange of sensible heat with the surface.Products like VisualVM, JProfiler, YourKit and Java Mission Control.Ī standard Java profiler certainly provides the most data, but not necessarily the most useful information.LOVECLIM is an acronym made from the names of the five different models that have been coupled to built the Earth system model: LOch–Vecode-Ecbilt-CLio-agIsm Model (LOVECLIM).Ī list of papers using the model could be found here This depends on the type of debugging task. ![]() JVM profilers will track all method calls and memory usage. Great for tracking down memory leaks, standard profilers detail out all memory usage by the JVM and which classes/objects are responsible.This allows a developer to dive into the call structure at whatever angle they choose. They slow down your application a good deal of processing power is required for the high level of detail provided.(Note: some profilers can work off thread and memory dumps in a limited fashion.) Requires a direct connection to the monitored JVM this ends up limiting usage to development environments in most cases.Good for tracking CPU usage, a Java profiler usually provides a CPU sampling feature to track and aggregate CPU time by class and method to help zero in on hot spots.The ability to manually run garbage collection and then review memory consumption can easily shine a spotlight on classes and processes that are holding on to memory in error. Products like XRebel and Stackify Prefix. Aspect Profilers use aspect-oriented programming (AOP) to inject code into the start and end of specified methods.Lightweight profilers take a different approach at tracking your application by injecting themselves right into the code. The injected code can start a timer and then report the elapsed time when the method finishes. These profilers are simple to set up but you need to know what to profile. Java Agent profilers use the Java Instrumentation API to inject code into your application.For an example, see Spring AOP Method Profiling. This method has greater access to your application since the code is being rewritten at the bytecode level. This allows for any code running in your application to be instrumented-be it code you wrote or 3rd-party libraries your application depends on. Check out this introduction to Java Agents to see how this all works.Īspect profilers are pretty easy to set up, but they are limited in what they can monitor and are encumbered by detailing out everything you want to be tracked. Java Agents have a big advantage in their tracking depth but are much more complicated to write. Stackify Prefix is a developer-oriented Java profiler using the Java Agent profiler method behind the scenes. The cool thing is that Prefix already knows the most desired classes and 3rd party libraries developers want to be instrumented-so you don’t have to detail them all out.
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