TY - JOUR
T1 - Drop Size Distribution Variability in Central Argentina during RELAMPAGO-CACTI
AU - Casanovas, Candela
AU - Salio, Paola
AU - Galligani, Victoria
AU - Dolan, Brenda
AU - Nesbitt, Stephen W.
N1 - Funding Information:
The DSD sample compiles thirteen OTT Parsivel disdrometer datasets from Central Argentina. Twelve disdrometers were installed during RELAMPAGO-CACTI, with the support of the National Science Foundation (NSF), NASA Global Precipitation Measurement-Ground Validation (GPM-GV), and the Department of Energy of the United States (DOE), and one belongs to the Sistema Nacional de Radares Meteorológicos (SINARAME). The RE-LAMPAGO data were downloaded from the Earth Observing Laboratory (EOL-NCAR) website (https://www.eol.ucar.edu (accessed on 1 October 2019)); the CACTI data were downloaded from the Atmospheric Radiation Measurement program (ARM-DOE) website (https://adc.arm.gov/discovery (accessed on 1 October 2019)); the GPM disdrometer data were provided by the Global Precipitation Measurement Ground Validation Office (https://trmm-fc.gsfc.nasa.gov/ftp/pub/tokay/relampago/ (accessed on 1 October 2019)); and the SINARAME data were available under a cooperation agreement between the Secretaría de Infraestructura y Política Hídrica de la Nación and the Facultad de Cien-cias Exactas y Naturales, Universidad de Buenos Aires. The thirteen disdrometers were located between 31.3◦S and 33.2◦S and between 60.9◦W and 64.7◦W, as shown in Figure 1b, which also shows the three proposed regions in which the study area was subdivided in order to analyze the impact of complex terrain and the proximity to the SDC on the DSD parameters. Table 1 details information about the sites, project, location, height above mean sea level (AMSL), time frame, sampling time, time between samples, and the length of each dataset.
Funding Information:
Acknowledgments: RMA1 and FDC data were provided by Secretaría de Infraestructura y Política Hídrica, Ministerio del Interior, Obras Públicas y Vivienda of the Argentinean National Government framed within the SINARAME Project. The National System of Weather Radars (Sistema Nacional de Radares Meteorológicos, SINARAME) project is an Argentinean effort to expand the radar network over the whole country. We acknowledge Walter Petersen for supporting the NASA GPM disdrom-eter deployment and Ali Tokay for performing quality control on these data. The RELAMPAGO disdrometers were supported by the National Science Foundation and the National Center for Atmospheric Research (NCAR) Earth Observing Laboratory and Research Applications Laboratory. We thank Francina Dominguez, David Gochis, Carlos Marcelo Garcia, and their teams for supporting the disdrometer deployment.
Funding Information:
C.C. was supported by the Universidad de Buenos Aires student scholarship. The present work was supported by the projects from Argentina ANPCyT PICT 2017-0221 and PICT 20160710, UBACyT 20020130100618BA, the International cooperation project from Argentina, and CONICET?NSF 2356/18. S.W.N. would like to acknowledge support by the National Science Foundation (Grant AGS-1661799) and the Department of Energy Atmospheric Systems Research Subcontract 408988 from Pacific Northwest National Laboratory.
Funding Information:
Funding: C.C. was supported by the Universidad de Buenos Aires student scholarship. The present work was supported by the projects from Argentina ANPCyT PICT 2017-0221 and PICT 2016-0710, UBACyT 20020130100618BA, the International cooperation project from Argentina, and CON-ICET—NSF 2356/18. S.W.N. would like to acknowledge support by the National Science Foundation (Grant AGS-1661799) and the Department of Energy Atmospheric Systems Research Subcontract 408988 from Pacific Northwest National Laboratory.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/6/1
Y1 - 2021/6/1
N2 - The Remote sensing of Electrification, Lightning, And Meso-scale/micro-scale Processes with Adaptive Ground Observations (RELAMPAGO) and the Cloud, Aerosol, and Complex Terrain Interactions Experiment Proposal (CACTI) field campaigns provided an unprecedented thirteendisdrometer dataset in Central Argentina during the Intensive (IOP, 15 November to 15 December 2018) and Extended (EOP, 15 October 2018 to 30 April 2019) Observational Periods. The drop size distribution (DSD) parameters and their variability were analyzed across the region of interest, which was divided into three subregions characterized by the differing proximity to the Sierras de Córdoba (SDC), in order to assess the impact of complex terrain on the DSD parameters. A rigorous quality control of the data was first performed. The frequency distributions of DSD-derived parameters were analyzed, including the normalized intercept parameter (logNw), the mean volume diameter (D0), the mean mass diameter (Dm), the shape parameter (µ), the liquid water content (LWC), and the rain rate (R). The region closest to the SDC presented higher values of logNw, lower D0, and higher µ, while the opposite occurred in the farthest region, i.e., the concentration of small drops decreased while the concentration of bigger drops increased with the distance to the east of the SDC. Furthermore, the region closest to the SDC showed a bimodal distribution of D0: the lower values of D0 were associated with higher values of logNw and were found more frequently during the afternoon, while the higher D0 were associated with lower logNw and occurred more frequently during the night. The data were analyzed in comparison to the statistical analysis of Dolan et al. 2018 and sorted according to the classification proposed in the cited study. The logNw-D0 and LWC-D0 two-dimensional distributions allowed further discussion around the applicability of other mid-latitude and global precipitation classification schemes (startiform/convection) in the region of interest. Finally, three precipitation case studies were analyzed with supporting polarimetric radar data in order to relate the DSD characteristics to the precipitation type and the microphysical processes involved in each case.
AB - The Remote sensing of Electrification, Lightning, And Meso-scale/micro-scale Processes with Adaptive Ground Observations (RELAMPAGO) and the Cloud, Aerosol, and Complex Terrain Interactions Experiment Proposal (CACTI) field campaigns provided an unprecedented thirteendisdrometer dataset in Central Argentina during the Intensive (IOP, 15 November to 15 December 2018) and Extended (EOP, 15 October 2018 to 30 April 2019) Observational Periods. The drop size distribution (DSD) parameters and their variability were analyzed across the region of interest, which was divided into three subregions characterized by the differing proximity to the Sierras de Córdoba (SDC), in order to assess the impact of complex terrain on the DSD parameters. A rigorous quality control of the data was first performed. The frequency distributions of DSD-derived parameters were analyzed, including the normalized intercept parameter (logNw), the mean volume diameter (D0), the mean mass diameter (Dm), the shape parameter (µ), the liquid water content (LWC), and the rain rate (R). The region closest to the SDC presented higher values of logNw, lower D0, and higher µ, while the opposite occurred in the farthest region, i.e., the concentration of small drops decreased while the concentration of bigger drops increased with the distance to the east of the SDC. Furthermore, the region closest to the SDC showed a bimodal distribution of D0: the lower values of D0 were associated with higher values of logNw and were found more frequently during the afternoon, while the higher D0 were associated with lower logNw and occurred more frequently during the night. The data were analyzed in comparison to the statistical analysis of Dolan et al. 2018 and sorted according to the classification proposed in the cited study. The logNw-D0 and LWC-D0 two-dimensional distributions allowed further discussion around the applicability of other mid-latitude and global precipitation classification schemes (startiform/convection) in the region of interest. Finally, three precipitation case studies were analyzed with supporting polarimetric radar data in order to relate the DSD characteristics to the precipitation type and the microphysical processes involved in each case.
KW - Complex terrain
KW - Drop size distribution
KW - DSD
KW - Precipitation
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U2 - 10.3390/rs13112026
DO - 10.3390/rs13112026
M3 - Article
SN - 2072-4292
VL - 13
JO - Remote Sensing
JF - Remote Sensing
IS - 11
M1 - 2026
ER -