Modeling and Observing Systems

Modelación y Sistemas de Observación

This area of research is a cross-cutting area that is functional to all other areas. We recognize that the advancement of climate science is fundamentally linked to 1) the existence and maintenance of monitoring systems of key climatic variables, and 2) the development of complex, integrated modeling systems for process understanding and climate predictions. Climate information has in fact a great potential in defining and planning adaptation options. However realizing this potential is not trivial and a “Global Framework for Climate Services” has been discussed (WCC-3, 2009), pointing out: the need for closer partnerships between providers and end users of climate services; increases in time-range and skill of climate prediction; improvements of observational basis for climate prediction and services; and availability and quality control of climate data. Thus the goal of this research area is 1) to develop Integrated Modeling Tools that transforms climate information into climate services, for informed decision taking by end users; 2) Provide access to the community to quality controlled climate data.

Although the only regional climate simulations produced so far for Chile have been made by our team, our current modeling and observational capacities fall short to achieve these goals in an integrated and comprehensive manner. Therefore a significant effort is made to increase those capabilities in terms of (i) model improvement, (ii) development of integrated numerical models, (iii) generation of climate change scenarios, and (iv) development of a test-bed for climate services provision. Also, we will assess current observing capabilities and improve those in terms of added instruments, and integrated use with models.

Laura Gallardo Klenner (Universidad de Chile)

Laura Gallardo is an Associate Professor at the Geophysics Department (DGF), and she is the Director for the Center for Climate and Resilience Research (http://www.dgf.uchile.cl/CR2/). She got a PhD in Chemical Meteorology at Stockholm University (MISU) in 1996 working on lightning and emissions of oxidized nitrogen under the guidance of Prof. Henning Rodhe. She returned to her home land Chile in 1997 where she worked as an expert advisor for National Commission for the Environment (CONAMA) between 1997 and 2001, leading the first regional scale modeling studies, with emphasis on sulfur dispersion from copper smelting. In early 2002 she got a researcher position at the Center for Mathematical Modeling (CMM), where she begun studies on inverse modeling applications for constraining city-scale emission inventories, data assimilation and optimal network design. In 2007, she got a permanent position at DGF.  Overall, she has developed various research activities including extensive international collaboration leading to various publications in peer-reviewed journals. Her research interests are atmospheric modeling and data assimilation, air quality in mega cities, and aerosol-cloud-climate interactions. She has been the leader for a scientific network and project studying South American Megacities (SAEMC, 2006-2012). She has served as a member of the Scientific Committee of the International Global Atmospheric Chemistry (IGAC) for the period 2003-2009, and as a member of the international Commission for Atmospheric Chemistry and Global Pollution (iCACGP) since 2006. In 2010 she was elected as vice-president for iCACGP. At the University of Chile, she teaches courses on atmospheric chemistry, modeling and global change, inverse modeling, atmospheric science and introductory physics. She has guided several theses in engineering and atmospheric science.

  • Dr. Nicolás Hunneus, Universidad de Chile (Alterno)
  • Dra. Maisa Rojas, Universidad de Chile ( Asociada)
  • Dr. Gary Shaffer, CEAZA ( Asociado)
  • Dr. Axel Osses, Universidad de Chile (Asociado)
  • Frauke Albrecht, Universad de Concepción (PostDoctorante)
  • Deniz Bascur, Universidad de Chile ( PostDoctorante)

Dr. Pablo Saide

Last Post

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