Abstract
Hailstorms, while fascinating from a meteorological perspective, pose significant risks to communities, agriculture, and infrastructure. In regions such as the Central Andes of Peru, the characteristics and frequency of these extreme weather events remain largely uncharted. This study fills this gap by investigating the historical frequency and vertical structure of hailstorms in this region. We analyzed historical hailstorm records dating back to 1958 alongside 4 years of observations (2017-2021) from the Parsivel2 disdrometer and a cloud-profiling radar MIRA35c. Our findings indicate a trend of decreasing hail frequency (-0.5 events per decade). However, the p value of 0.07 suggests the need for further investigation, particularly in relation to environmental changes and reporting methods. The results show that hailstorms predominantly occur during the austral summer months, with peak frequency in December, and are most common during the afternoon and early evening hours. The analysis of radar variables such as reflectivity, radial velocity, spectral width, and linear depolarization ratio (LDR) reveals distinct vertical profiles for hail events. Two case studies highlight the diversity in the radar measurements of hailstorms, underscoring the complexity of accurate hail detection. This study suggests the need for refining the Parsivel2 algorithm and further understanding its classification of hydrometeors. Additionally, the limitations of conventional radar variables for hail detection are discussed, recommending the use of LDR and Doppler spectrum analysis for future research. Our findings lay the groundwork for the development of more efficient hail detection algorithms and improved understanding of hailstorms in the Central Andes of Peru.
| Original language | English |
|---|---|
| Pages (from-to) | 2295-2316 |
| Number of pages | 22 |
| Journal | Atmospheric Measurement Techniques |
| Volume | 17 |
| Issue number | 8 |
| DOIs | |
| State | Published - 18 Apr 2024 |
| Externally published | Yes |
Fingerprint
Dive into the research topics of 'Hailstorm events in the Central Andes of Peru: Insights from historical data and radar microphysics'. Together they form a unique fingerprint.
View full fingerprint
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver
Valdivia, J. M., Flores-Rojas, J. L., Prado, J. J., Guizado, D., Villalobos-Puma, E., Callañaupa, S., & Silva-Vidal, Y. (2024). Hailstorm events in the Central Andes of Peru: Insights from historical data and radar microphysics. Atmospheric Measurement Techniques, 17(8), 2295-2316. https://doi.org/10.5194/amt-17-2295-2024
Valdivia, Jairo M. ; Flores-Rojas, José Luis ; Prado, Josep J. et al. / Hailstorm events in the Central Andes of Peru : Insights from historical data and radar microphysics. In: Atmospheric Measurement Techniques. 2024 ; Vol. 17, No. 8. pp. 2295-2316.
@article{fe1b0f38dd3946859db0757323ca1ddd,
title = "Hailstorm events in the Central Andes of Peru: Insights from historical data and radar microphysics",
abstract = "Hailstorms, while fascinating from a meteorological perspective, pose significant risks to communities, agriculture, and infrastructure. In regions such as the Central Andes of Peru, the characteristics and frequency of these extreme weather events remain largely uncharted. This study fills this gap by investigating the historical frequency and vertical structure of hailstorms in this region. We analyzed historical hailstorm records dating back to 1958 alongside 4 years of observations (2017-2021) from the Parsivel2 disdrometer and a cloud-profiling radar MIRA35c. Our findings indicate a trend of decreasing hail frequency (-0.5 events per decade). However, the p value of 0.07 suggests the need for further investigation, particularly in relation to environmental changes and reporting methods. The results show that hailstorms predominantly occur during the austral summer months, with peak frequency in December, and are most common during the afternoon and early evening hours. The analysis of radar variables such as reflectivity, radial velocity, spectral width, and linear depolarization ratio (LDR) reveals distinct vertical profiles for hail events. Two case studies highlight the diversity in the radar measurements of hailstorms, underscoring the complexity of accurate hail detection. This study suggests the need for refining the Parsivel2 algorithm and further understanding its classification of hydrometeors. Additionally, the limitations of conventional radar variables for hail detection are discussed, recommending the use of LDR and Doppler spectrum analysis for future research. Our findings lay the groundwork for the development of more efficient hail detection algorithms and improved understanding of hailstorms in the Central Andes of Peru.",
author = "Valdivia, {Jairo M.} and Flores-Rojas, {Jos{\'e} Luis} and Prado, {Josep J.} and David Guizado and Elver Villalobos-Puma and Stephany Calla{\~n}aupa and Yamina Silva-Vidal",
note = "Publisher Copyright: {\textcopyright} 2024 Jairo M. Valdivia et al.",
year = "2024",
month = apr,
day = "18",
doi = "10.5194/amt-17-2295-2024",
language = "English",
volume = "17",
pages = "2295--2316",
journal = "Atmospheric Measurement Techniques",
issn = "1867-1381",
number = "8",
}
Valdivia, JM, Flores-Rojas, JL, Prado, JJ, Guizado, D, Villalobos-Puma, E, Callañaupa, S & Silva-Vidal, Y 2024, 'Hailstorm events in the Central Andes of Peru: Insights from historical data and radar microphysics', Atmospheric Measurement Techniques, vol. 17, no. 8, pp. 2295-2316. https://doi.org/10.5194/amt-17-2295-2024
Hailstorm events in the Central Andes of Peru: Insights from historical data and radar microphysics. / Valdivia, Jairo M.; Flores-Rojas, José Luis; Prado, Josep J. et al.
In: Atmospheric Measurement Techniques, Vol. 17, No. 8, 18.04.2024, p. 2295-2316.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Hailstorm events in the Central Andes of Peru
T2 - Insights from historical data and radar microphysics
AU - Valdivia, Jairo M.
AU - Flores-Rojas, José Luis
AU - Prado, Josep J.
AU - Guizado, David
AU - Villalobos-Puma, Elver
AU - Callañaupa, Stephany
AU - Silva-Vidal, Yamina
N1 - Publisher Copyright:© 2024 Jairo M. Valdivia et al.
PY - 2024/4/18
Y1 - 2024/4/18
N2 - Hailstorms, while fascinating from a meteorological perspective, pose significant risks to communities, agriculture, and infrastructure. In regions such as the Central Andes of Peru, the characteristics and frequency of these extreme weather events remain largely uncharted. This study fills this gap by investigating the historical frequency and vertical structure of hailstorms in this region. We analyzed historical hailstorm records dating back to 1958 alongside 4 years of observations (2017-2021) from the Parsivel2 disdrometer and a cloud-profiling radar MIRA35c. Our findings indicate a trend of decreasing hail frequency (-0.5 events per decade). However, the p value of 0.07 suggests the need for further investigation, particularly in relation to environmental changes and reporting methods. The results show that hailstorms predominantly occur during the austral summer months, with peak frequency in December, and are most common during the afternoon and early evening hours. The analysis of radar variables such as reflectivity, radial velocity, spectral width, and linear depolarization ratio (LDR) reveals distinct vertical profiles for hail events. Two case studies highlight the diversity in the radar measurements of hailstorms, underscoring the complexity of accurate hail detection. This study suggests the need for refining the Parsivel2 algorithm and further understanding its classification of hydrometeors. Additionally, the limitations of conventional radar variables for hail detection are discussed, recommending the use of LDR and Doppler spectrum analysis for future research. Our findings lay the groundwork for the development of more efficient hail detection algorithms and improved understanding of hailstorms in the Central Andes of Peru.
AB - Hailstorms, while fascinating from a meteorological perspective, pose significant risks to communities, agriculture, and infrastructure. In regions such as the Central Andes of Peru, the characteristics and frequency of these extreme weather events remain largely uncharted. This study fills this gap by investigating the historical frequency and vertical structure of hailstorms in this region. We analyzed historical hailstorm records dating back to 1958 alongside 4 years of observations (2017-2021) from the Parsivel2 disdrometer and a cloud-profiling radar MIRA35c. Our findings indicate a trend of decreasing hail frequency (-0.5 events per decade). However, the p value of 0.07 suggests the need for further investigation, particularly in relation to environmental changes and reporting methods. The results show that hailstorms predominantly occur during the austral summer months, with peak frequency in December, and are most common during the afternoon and early evening hours. The analysis of radar variables such as reflectivity, radial velocity, spectral width, and linear depolarization ratio (LDR) reveals distinct vertical profiles for hail events. Two case studies highlight the diversity in the radar measurements of hailstorms, underscoring the complexity of accurate hail detection. This study suggests the need for refining the Parsivel2 algorithm and further understanding its classification of hydrometeors. Additionally, the limitations of conventional radar variables for hail detection are discussed, recommending the use of LDR and Doppler spectrum analysis for future research. Our findings lay the groundwork for the development of more efficient hail detection algorithms and improved understanding of hailstorms in the Central Andes of Peru.
UR - http://www.scopus.com/inward/record.url?scp=85192373374&partnerID=8YFLogxK
U2 - 10.5194/amt-17-2295-2024
DO - 10.5194/amt-17-2295-2024
M3 - Article
AN - SCOPUS:85192373374
SN - 1867-1381
VL - 17
SP - 2295
EP - 2316
JO - Atmospheric Measurement Techniques
JF - Atmospheric Measurement Techniques
IS - 8
ER -
Valdivia JM, Flores-Rojas JL, Prado JJ, Guizado D, Villalobos-Puma E, Callañaupa S et al. Hailstorm events in the Central Andes of Peru: Insights from historical data and radar microphysics. Atmospheric Measurement Techniques. 2024 Apr 18;17(8):2295-2316. doi: 10.5194/amt-17-2295-2024
