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Variability in wet and dry snow radar zones in the North of the Antarctic Peninsula using a cloud computing environment.
Idalino, Filipe D; Rosa, Kátia K DA; Hillebrand, Fernando L; Arigony-Neto, Jorge; Mendes, Claudio Wilson; Simões, Jefferson C.
Afiliação
  • Idalino FD; Universidade Federal do Rio Grande do Sul, Instituto de Geociências, Centro Polar e Climático, Av. Bento Gonçalves, 9500, 91501-970 Porto Alegre, RS, Brazil.
  • Rosa KKD; Universidade Federal do Rio Grande do Sul, Instituto de Geociências, Centro Polar e Climático, Av. Bento Gonçalves, 9500, 91501-970 Porto Alegre, RS, Brazil.
  • Hillebrand FL; Instituto Federal de Educação Ciência e Tecnologia do Rio Grande do Sul, IFRS, Rodovia RS-239, Km 68, 3505, 95690-000 Rolante, RS, Brazil.
  • Arigony-Neto J; Universidade Federal do Rio Grande, Instituto de Oceanografia, Av. Itália, Km 8, 96201-900 Rio Grande, RS, Brazil.
  • Mendes CW; Universidade Federal do Rio Grande do Sul, Instituto de Geociências, Centro Polar e Climático, Departamento de Geodésia, Av. Bento Gonçalves, 9500, 91501-970 Porto Alegre, RS, Brazil.
  • Simões JC; Universidade Federal do Rio Grande do Sul, Instituto de Geociências, Centro Polar e Climático, Av. Bento Gonçalves, 9500, 91501-970 Porto Alegre, RS, Brazil.
An Acad Bras Cienc ; 96(suppl 2): e20230704, 2024.
Article em En | MEDLINE | ID: mdl-39016361
ABSTRACT
This work investigated the annual variations in dry snow (DSRZ) and wet snow radar zones (WSRZ) in the north of the Antarctic Peninsula between 2015-2023. A specific code for snow zone detection on Sentinel-1 images was created on Google Earth Engine by combining the CryoSat-2 digital elevation model and air temperature data from ERA5. Regions with backscatter coefficients (σ°) values exceeding -6.5 dB were considered the extent of surface melt occurrence, and the dry snow line was considered to coincide with the -11 °C isotherm of the average annual air temperature. The annual variation in WSRZ exhibited moderate correlations with annual average air temperature, total precipitation, and the sum of annual degree-days. However, statistical tests indicated low determination coefficients and no significant trend values in DSRZ behavior with atmospheric variables. The results of reducing DSRZ area for 2019/2020 and 2020/2021 compared to 2018/2018 indicated the upward in dry zone line in this AP region. The methodology demonstrated its efficacy for both quantitative and qualitative analyses of data obtained in digital processing environments, allowing for the large-scale spatial and temporal variations monitoring and for the understanding changes in glacier mass loss.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radar / Neve / Computação em Nuvem Idioma: En Revista: An Acad Bras Cienc Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radar / Neve / Computação em Nuvem Idioma: En Revista: An Acad Bras Cienc Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Brasil