Dr. Mauricio Zambrano-Bigiarini Profile

Dr. Mauricio Zambrano-Bigiarini

Professor at Universidad de La Frontera

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Author

Publications (4)

Proceedings Article | 23 October 2018 Paper

Temporal and spatial evaluation of long-term satellite-based precipitation products across the complex topographical and climatic gradients of Chile

Mauricio Zambrano-Bigiarini

Proceedings Volume 10782, 1078202 (2018) https://doi.org/10.1117/12.2513645

KEYWORDS: Satellites, Meteorology, Climatology, Spatial resolution, Temporal resolution, Data centers, Environmental sensing, Calibration, Infrared radiation, Hydrology

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Satellite-based rainfall estimates (SRE) have become a promising data source to overcome some limitations of ground-based rainfall measurements, in particular for hydrological and other environmental applications. This study evaluates the spatial and temporal performance of four long-term SRE products (TMPA 3B42v7, CHIRPSv2, MSWEPv1.1 and MSWEPv2.2) over the complex topography and climatic gradients of Chile. Time series of precipitation measured at 371 stations are compared against the corresponding grid cell of each SRE (in their original spatial resolution) at different temporal scales (daily, monthly, seasonal, annual). The modified Kling-Gupta efficiency along with its three individual components were used to assess the performance of each SRE, while two categorical indices (POD, and fBIAS) were used to evaluate the skill of each SRE to correctly capture different precipitation intensities.

Results revealed that all SREs performed best in Central-Southern Chile (32.18-36.4°S), in particular at lowand mid-elevation zones (0-1000 m a.s.l.). Seasonally, all products performed best in terms of KGE0 during the wet autumn and winter seasons (MAM-JJA) compared to summer (DJF). In addition, all SREs were able to correctly identify no rain events, but during rainy days all SREs that did not use a local dataset of precipitation to recalibrate their estimates presented a low skill in providing an accurate classification of different precipitation intensities.

Overall, MSWPEPv22 showed the best performance at all time scales and country-wide, due to the use of a Chilean dataset of daily data for calibrating its precipitation estimates, making it a good candidate for hydrological applications in Chile. Finally, we conclude that when the in situ precipitation dataset used in the evaluation of different SREs does not cover the headwaters of the catchments, the obtained performances should only be considered as first guess about how well a given SRE represent the real amount of water in an area.

Proceedings Article | 6 July 2018 Paper

Communication to remote observatories is a science enabler

G. Filippi, S. Jaque, R. Chini, S. Mieske, G. Hau, A. Astudillo, M. Zambrano, A. Schemrl, J. Parra, J. Ibsen

Proceedings Volume 10707, 107073A (2018) https://doi.org/10.1117/12.2326368

KEYWORDS: Observatories, Telescopes, Robotics, Data communications, Radio optics

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Proceedings Article | 30 July 2010 Paper

First year of ALMA site software deployment: where everything comes together

Víctor González, Matias Mora, Rodrigo Araya, Diego Arredondo, Marcelo Bartsch, Pablo Burgos, Jorge Ibsen, Johnny Reveco, Norman Sáez, Anton Schemrl, Jorge Sepulveda, Tzu-Chiang Shen, Rubén Soto, Nicolás Troncoso, Mauricio Zambrano, Nicolás Barriga, Brian Glendenning, Gianni Raffi, Jeff Kern

Proceedings Volume 7737, 77371Z (2010) https://doi.org/10.1117/12.857856

KEYWORDS: Antennas, Software development, Observatories, Optical correlators, Astronomy, Software engineering, Prototyping, Information technology, Solar thermal energy, Control systems

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Proceedings Article | 21 July 2008 Paper

Software regression testing: practical experience at the ALMA test facility

B. Lopez, R. Araya, N. Barriga, P. Burgos, S. Harrington, T. Juerges, J. Kern, J. Sepulveda, R. Soto, N. Troncoso, M. Zambrano

Proceedings Volume 7019, 70192X (2008) https://doi.org/10.1117/12.788204

KEYWORDS: Software development, Astronomy, Antennas, Hardware testing, Radio astronomy, Observatories, Software engineering, Large telescopes, Clouds, Telescopes

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