There are two approaches when upgrading an existing system: improve the current system or replace the system. The former enjoys the extensive amount of previous work, but it also faces possible short-comings inherit to a design based on outdated technologies. The latter option provides an opportunity to design a solution based on the latest technologies, it but may prove costly to replace old system. Most of the researchers deemed replacement too expensive and opted to supplement the existing system by solving the existing problems. Professor Tapio Schneider and his colleagues decided otherwise (Perkins, 2018). They created a team called CliMA (Perkins, 2018).
Picture 1. Professor Tapio Schneider. From New Climate Model to Be Built from the Ground Up by S. Diani, 2019, https://www.sciencemag.org/sites/default/files/styles/inline__699w__no_aspect/public/350cs_80727X_Tapio_0.jpg?itok=6HRPTU8g
New Climate Model
This young but ambitious project aims to replace the current weather prediction systems to capitalize on the most recent technologies and eliminate some of the design flaws of the old system, such as inaccurate cloud-formation prediction (Perkins, 2018). They are joined by researchers from other institutions and interested parties, such as MIT and US Navy (Voosen, 2019). Due to the uncertain benefit of the project, some expressed concern for loss of funding that may have benefited other more established projects (Voosen, 2019). The future is unknown, but it certainly is very exciting to see such collaborations happening on the new technology to tackle a monumental challenge.
References
Perkins, R. (2018, December 12). New Climate Model to Be Built from the Ground Up. Retrieved June 23, 2019, from https://www.caltech.edu/about/news/new-climate-model-be-built-ground-84636
Pickett, M., Perkins, R., & Perkins, R. (n.d.). Home. Retrieved June 23, 2019, from https://clima.caltech.edu/
Voosen, P. (2019, May 22). Science insurgents plot a climate model driven by artificial intelligence. Retrieved May 26, 2019, from https://www.sciencemag.org/news/2018/07/science-insurgents-plot-climate-model-driven-artificial-intelligence
Origin The “AI and climate: On the bleeding edge with a pioneering researcher” by journalist Crowder is a dialogue between the journalist and professor Monteleoni. The professor is credited to coining the term, ‘climate informatics’ in 2012 (Crowder, 2018). Crowder interviewed the professor after 6 years to find out more about the new-born field of research and just how much the field has grown since. Picture 1. Professor Monteleoni. From Predictability assessment of northeast monsoon rainfall in India using sea surface temperature anomaly through statistical and machine learning techniques by L. Crowder, 2018. https://thebulletin.org/wp-content/uploads/2018/02/cmontel-680x1024.jpg In the conversation, the professor described climate informatics as “innovation at the intersection of data science and climate science” (Crowder 2018). This is similar to bioinformatics that became popularized more than a decade ago which combined biological data with data science, and professor...
AI for Earth In the Microsoft blog called “Researchers turn to AI in a bid to improve weather forecasts” by Roach, the author highlights some of the company's contribution to the research that benefits mankind. Through the AI for Earth initiative, the company funds various challenging research projects that studies Earth. The blog also highlights the social activities, such as hackathons, that illustrates some of the current trends of using machine learning to solve difficult problems. References Roach, J. (2019, May 20). Researchers turn to AI in a bid to improve weather forecasts. Retrieved May 26, 2019, from https://blogs.microsoft.com/ai/ai-subseasonal-weather-forecast/
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