What is the relationship between open source and earth science? Listen to what NASA says.

The National Aeronautics and Astronautics Research organization NASA has been in deep cooperation with http://www.aliyun.com/zixun/aggregation/13856.html "> Open source Community, and many of its projects have been open source, Special websites have been set up to showcase these projects. Iteye has also recommended some of NASA's Open-source projects. In the following article, we try to overcome the fragmentation and diversity of the open source community, taking NASA and more open source communities as examples to see how powerful and cohesive they are today. How to help scientists, policymakers, software developers, educators and interested readers to better understand the Earth's climate.

First, let's take a look at some of the background of this exciting area related to open source.

Earth scientists, including remote sensing experts, climate modelers, practitioners, policymakers and policymakers, are pushing and monitoring open source space. For example, many of the software that the climate modeling community performs to build, test, and validate climate and Earth system models are open source. These software have licenses approved by the Open Source Association (OSI), as well as packages that are contributed by community participants. Similarly, remote sensing communities are using Open-source technology to process remote sensing data. Includes Python and R languages, as well as non-open-source but community-oriented packages such as MATLAB,ENVI/IDL and other software that share code.

The focus of Earth science is on limiting modelling in a regional context, which is critical to predicting the impact of climate change on society and natural Resources. To give you a better understanding of this, here's an open source project that promotes the science of geosciences, which is the open climate working platform for Apache.

Apache's Open climate Bench (hereinafter referred to as Apache OCW) is created to facilitate the development of a software library, but is not limited to this. Climate model evaluation uses models and observational datasets (including remote sensing data), involving multiple formats and resolution data obtained from a variety of sources, including the Earth System Grid Consortium (ESGF), the Coordinated Regional scale reduction experiment (CORDEX), the North American regional Climate Change assessment process (NARCCAP), Data from NASA, NOAA, and other agents. The Apache OCW Toolkit includes data extraction capabilities, data manipulation, metrics calculation, and visualization. Apache OCW applications include research projects based on understanding atmospheric conditions and climate patterns in the United States, Africa, India, Tibet, and South America.

The Apache OCW Project was born in the NASA JPL (JPL) refactoring code from the GEO Community's regional Climate Model evaluation System (RCMES). This is a joint project by the Joint Regional Earth Systems Science and Engineering Institute (JIFRESSE) and the University of California, Los Angeles, and NASA JPL through scientific collaboration. In addition, Apache OCW uses the Apache object-oriented Technology Data (OODT) to manage large datasets of Earth science-related projects. The project was later integrated into the contributing code and became more effective. However, using an object-oriented approach to create a set of core libraries can be a great help for evaluating the usability of climate models outside the project. For example, the National Climate Assessment (NCA) agency, 3721.html ">2014 May, announced that several climate research technologies have been supported by the Rcmes project of Apache OCW." Another example is that the Apache OCW has adapted the course library to understand the characteristics of mesoscale convection complexes and the ongoing study of climate variability.

In summary, NASA's JPL Open source program, which covers water, ice and snow, provides important information for water supply in the global snow-covered region. These projects use open source methods to enable transparent, community-driven code development as a key to advancing scientific discoveries. It takes a lot of people to work together to push science and our lives and broaden our understanding of the world. NASA's JPL experts, working with stakeholders, are pursuing this goal tirelessly.