Precipitation estimates analysis: a review

Authors

  • Onibaldo dos Santos Júnior Universidade Federal de Santa Maria - UFSM, Campus Cachoeira do Sul, Cachoeira do Sul, RS. https://orcid.org/0000-0003-0477-2406
  • Silvana Maldaner Universidade Federal de Santa Maria - UFSM, Campus Cachoeira do Sul, Cachoeira do Sul, RS. https://orcid.org/0000-0001-9060-4614
  • Priscila Bernardi Miranda Universidade Federal de Santa Maria - UFSM, Campus Cachoeira do Sul, Cachoeira do Sul, RS.
  • Renata Goehring Universidade Federal de Santa Maria - UFSM, Campus Cachoeira do Sul, Cachoeira do Sul, RS. https://orcid.org/0000-0003-2257-4315
  • Paulo Ademar Avelar Ferreira Universidade Federal de Santa Maria - UFSM, Campus Cachoeira do Sul, Cachoeira do Sul, RS.

DOI:

https://doi.org/10.5902/2179460X35530

Keywords:

Precipitation, Pluviometer, Sensor calibration

Abstract

The precipitation is a meteorological variable of extreme importance. The variable is directly associated with the water supply reservoir, energy production and is responsible for flooding and soil erosion processes (SOUSA, 1998). In the agriculture, particularly, the knowledge of the rainfall regime stands out as a analysis tool  and decision-making. Pluviograph and pluviometers are used to quantify rainfall. Through these two instruments it is possible to measure the rainfall amount and intensity. Therefore, with this data it is possible to local forecasting model and analysis systems. Thus,  the accurate knowledge of precipitation time series is an essential tool  future behavior modeling. In this work, a review of the main sensors employed to measure precipitation and the practical difficulties encountered by researchers when using rainfall data and sensor calibration. For this, a research in the Google academic was filtering the works associated with the subject. The results allowed to conclude that any rain gauge can be used, provided that it is properly calibrated.

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References

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Published

2019-03-12

How to Cite

Santos Júnior, O. dos, Maldaner, S., Miranda, P. B., Goehring, R., & Ferreira, P. A. A. (2019). Precipitation estimates analysis: a review. Ciência E Natura, 40, 267–271. https://doi.org/10.5902/2179460X35530

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