Abstract—Geoengineering attempts to remedy the climate
crisis through the intervention of dynamic systems to mitigate
future scenarios of water drought in agriculture. The provinces
of the department of Junín were identified as having the
meteorological and geographical conditions where precipitation
should be generated for the benefit of agriculture. The
meteorological data was obtained from SENAMHI for the
period 2000-2020, cloud information derived from the
GOES-16 satellite belonging to NOAA was used and the satellite
images were resampled using the cubic convolution method to
evaluate the cloud parameters under the bands (C05, C08, C10,
C11, C13, C15 and C16) in areas with cloud altitude between
6-8 km in the Andes and in the eastern part between 5-7 km
within the study area. From this analysis, favorable cloud
clusters were identified in relation to the arid zones with
extensive croplands where rainfed irrigation is used, using the
geodatabase of the Ecological and Economic Zoning (ZEE) of
the Regional Government of Junín.
Index Terms—Geoengineering, precipitation generation, GOES-16, cloud seeding.
L. F. Mucha and P. A. Jeremias are with the Continental University, Huancayo, CO, 12000, Peru (e-mail: firstname.lastname@example.org).
N. Ambrocio was with Geological Department of the Compañía Minera Kolpa S.A., Huachocolpa, CO, 09510, Peru (e-mail: email@example.com).
I. Y. Platero was with the Universidad Continental S.A.C., Huancayo, CO, 12000, Peru (e-mail: firstname.lastname@example.org).
J. V. Cornejo was with the Universidad Continental S.A.C., Huancayo, CO, 12000, Peru (e-mail: email@example.com).
Cite: L. F. Mucha, P. A. Jeremias, N. Ambrocio, I. Y. Platero, and J. V. Cornejo, "Principle of Geoengineering: Meteorological and Geographical Conditions of the Department of Junín for the Generation of Precipitation in Agriculture," International Journal of Environmental Science and Development vol. 13, no. 4, pp. 102-109, 2022.Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).