Improved rainfall and temperature satellite dataset in areas with scarce weather stations data: case study in Ancash, Peru




TRMM, GPM, MERRA-2, weather stations, Ancash


Rainfall and temperature variables play an important role in understanding meteorology at global and regional scales. However, the availability of meteorological information in areas of complex topography is difficult, as the density of weather stations is often very low. In this study, we focused on improving existing satellite products for these areas, using Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Measurement (GPM) data for rainfall and Modern Era Retrospective Analysis for Research and Applications Version 2 (MERRA-2) data for air temperature. Our objective was to propose a model that improves the accuracy and correlation of satellite data with observed data on a monthly scale during 2012-2017. The improvement of rainfall satellite data was performed using 4 regions: region 1 Santa (R1Sn), region 2 Marañón (R2Mr), region 3 Pativilca (R3Pt) and region 4 Pacific (R4Pc). For temperature, a model based on the use of the slope obtained between temperature and altitude data was used. In addition, the reliability of the TRMM, GPM and MERRA-2 data was analyzed based on the ratio of the mean square error, PBIAS, Nash-Sutcliffe efficiency (NSE) and correlation coefficient. The final products obtained from the model for temperature are reliable with R2 ranging from 0.72 to 0.95 for the months of February and August respectively, while the improved rainfall products obtained are shown to be acceptable (NSE≥0.6) for the regions R1Sn, R2Mr and R3Pt. However, in R4Pc it is unacceptable (NSE<0.4), reflecting that the additive model is not suitable in regions with low rainfall values.


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Author Biographies

Eduardo E. Villavicencio, Santiago Antunez de Mayolo National University (UNASAM)

Ingeniero Ambiental de la Universidad Nacional Santiago Antúnez de Mayolo (UNASAM) con experiencia en el estudio de gestión de recursos hídricos, elaboración de balances de masa, determinación de líneas de equilibrio-ELA, generación de índices de nieve NDSI para coberturar área glaciar, lagunas y vegetación a través de técnicas de teledetección y fotogrametría.

Katy D. Medina, Santiago Antunez de Mayolo National University (UNASAM)

National Institute for Research on Glaciers and Mountain (INAIGEM)

Magister-Ingeniera, con una formación sólida y científica, con estudios de pre grado en la Escuela Profesional de Ingeniería Ambiental de la Universidad Nacional Santiago Antúnez de Mayolo y de post grado en la Universidad de Barcelona-España.

Edwin A. Loarte, Santiago Antunez de Mayolo National University (UNASAM)

National Institute for Research on Glaciers and Mountain (INAIGEM)

Profesional ligado a la investigación en recursos hídricos, glaciología, el cambio climático, conocimientos de análisis de riesgos sobre los ámbitos glaciares, simulación de desbordes de lagunas, con conocimiento de SIG y teledetección aplicados al estudio y monitoreo de los recursos ambientales, procesamiento de imágenes de satélite ópticas y radar.

Hairo A. León, Santiago Antunez de Mayolo National University (UNASAM)

Ingeniero ambiental con manejo de programas aplicados al Sistema de Información Geográfica (ArcGis, Terrset y Qgis), lenguajes de programación (R y python), experiencia en el monitoreo de la calidad ambiental del agua, suelo, fauna y flora, estudios relacionados a la gestión de recurso forestales y aplicaciones de teledetección para el estudio de los recursos naturales en zonas de alta montaña (glaciares, nieve, permafrost e hidrología).


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