Classification of time series of temperature variations from climatically homogeneous regions using Hurst Space Analysis
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
We used the Hurst Space Analysis (HSA), a technique that we recently developed to cluster or differentiate records from an arbitrary complex system based on the presence and influence of cycles in their statistical functions, to classify climatic data from climatically homogeneous regions according to their long-term persistent (LTP) character. For our analysis we selected four types of HadCRUT4 cells of temperature records over regions homogeneous in both climate and topography, which are sufficiently populated with ground observational stations. These cells bound: Pannonian and West Siberian plains, Rocky Mountains and Himalayas mountainous regions, Arctic and sub-Arctic climates of Island and Alaska, and Gobi and Sahara deserts.
Извор:
EGU General Assembly 2021, 19-30 April 2021 online (pp. EGU21-238), 2021Колекције
Институција/група
Fakultet veterinarske medicineTY - CONF AU - Blesić, Suzana AU - Sarvan, Darko AU - Tošić, Milica AU - Borovinić, Marko PY - 2021 UR - https://vet-erinar.vet.bg.ac.rs/handle/123456789/2703 AB - We used the Hurst Space Analysis (HSA), a technique that we recently developed to cluster or differentiate records from an arbitrary complex system based on the presence and influence of cycles in their statistical functions, to classify climatic data from climatically homogeneous regions according to their long-term persistent (LTP) character. For our analysis we selected four types of HadCRUT4 cells of temperature records over regions homogeneous in both climate and topography, which are sufficiently populated with ground observational stations. These cells bound: Pannonian and West Siberian plains, Rocky Mountains and Himalayas mountainous regions, Arctic and sub-Arctic climates of Island and Alaska, and Gobi and Sahara deserts. C3 - EGU General Assembly 2021, 19-30 April 2021 online (pp. EGU21-238) T1 - Classification of time series of temperature variations from climatically homogeneous regions using Hurst Space Analysis DO - 10.5194/egusphere-egu21-238 ER -
@conference{ author = "Blesić, Suzana and Sarvan, Darko and Tošić, Milica and Borovinić, Marko", year = "2021", abstract = "We used the Hurst Space Analysis (HSA), a technique that we recently developed to cluster or differentiate records from an arbitrary complex system based on the presence and influence of cycles in their statistical functions, to classify climatic data from climatically homogeneous regions according to their long-term persistent (LTP) character. For our analysis we selected four types of HadCRUT4 cells of temperature records over regions homogeneous in both climate and topography, which are sufficiently populated with ground observational stations. These cells bound: Pannonian and West Siberian plains, Rocky Mountains and Himalayas mountainous regions, Arctic and sub-Arctic climates of Island and Alaska, and Gobi and Sahara deserts.", journal = "EGU General Assembly 2021, 19-30 April 2021 online (pp. EGU21-238)", title = "Classification of time series of temperature variations from climatically homogeneous regions using Hurst Space Analysis", doi = "10.5194/egusphere-egu21-238" }
Blesić, S., Sarvan, D., Tošić, M.,& Borovinić, M.. (2021). Classification of time series of temperature variations from climatically homogeneous regions using Hurst Space Analysis. in EGU General Assembly 2021, 19-30 April 2021 online (pp. EGU21-238). https://doi.org/10.5194/egusphere-egu21-238
Blesić S, Sarvan D, Tošić M, Borovinić M. Classification of time series of temperature variations from climatically homogeneous regions using Hurst Space Analysis. in EGU General Assembly 2021, 19-30 April 2021 online (pp. EGU21-238). 2021;. doi:10.5194/egusphere-egu21-238 .
Blesić, Suzana, Sarvan, Darko, Tošić, Milica, Borovinić, Marko, "Classification of time series of temperature variations from climatically homogeneous regions using Hurst Space Analysis" in EGU General Assembly 2021, 19-30 April 2021 online (pp. EGU21-238) (2021), https://doi.org/10.5194/egusphere-egu21-238 . .