Browsing by Author "Tan M"
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- ItemEnhancing the value of weather and climate services in society - identified gaps and needs as outcomes of the 1st WMO WWRP/SERA “Weather and Society” Conference(American Meteorological Society, 2023-02-14) Göber M; Isadora C; Hoffmann D; Mooney CJ; Rodriguez L; Becker N; Ebert EE; Fearnley C; Fundel VJ; Golding B; Jeurig J; Kelman I; Kox T; Magro F-A; Perrels A; Postigo JC; Potter SH; Robbins J; Rust H; Schoster D; Tan M; Taylor A; Williams HWhat: The Societal and Economics Research Application (SERA) Working Group of the World Meteorological Organization (WMO) World Weather Research Programme (WWRP) organized the first Weather and Society Conference, inviting the weather community to actively engage on critical themes to understand, analyze, and enhance the value of weather and climate services in society. The online conference ran over 2 weeks. Each session focused on a theme, ran for two hours, and included talks and discussion followed by a one-hour poster session. When: 28 February to 11 March 2022 Where: Online.
- ItemEstimating S-wave amplitude for earthquake early warning in New Zealand: Leveraging the first 3 seconds of P-Wave(Springer, 2024-07-13) Chandrakumar C; Tan M; Holden C; Stephens M; Punchihewa A; Rahubadde Kankanamge RThis study addresses the critical question of predicting the amplitude of S-waves during earthquakes in Aotearoa New Zealand (NZ), a highly earthquake-prone region, for implementing an Earthquake Early Warning System (EEWS). This research uses ground motion parameters from a comprehensive dataset comprising historical earthquakes in the Canterbury region of NZ. It explores the potential to estimate the damaging S-wave amplitude before it arrives, primarily focusing on the initial P-wave signals. The study establishes nine linear regression relationships between P-wave and S-wave amplitudes, employing three parameters: peak ground acceleration, peak ground velocity, and peak ground displacement. Each relationship’s performance is evaluated through correlation coefficient (R), coefficient of determination (R²), root mean square error (RMSE), and 5-fold Cross-validation RMSE, aiming to identify the most predictive empirical model for the Canterbury context. Results using a weighted scoring approach indicate that the relationship involving P-wave Peak Ground Velocity (Pv) within a 3-second window strongly correlates with S-wave Peak Ground Acceleration (PGA), highlighting its potential for EEWS. The selected empirical relationship is subsequently applied to establish a P-wave amplitude (Pv) threshold for the Canterbury region as a case study from which an EEWS could benefit. The study also suggests future research exploring complex machine learning models for predicting S-wave amplitude and expanding the analysis with more datasets from different regions of NZ.
- ItemHawke's Bay Regional Alerting Systems Review(2021-12-15) Tan M; Leonard G; Johnston D
- ItemKnowledge, perceptions, and behavioral responses to earthquake early warning in Aotearoa New Zealand(Frontiers Media S.A., 2023-08-28) Vinnell LJ; Tan M; Rahubadde Kankanamge R; Becker JIntroduction: Aotearoa New Zealand (NZ) experiences frequent earthquakes, with a history of damaging and fatal events, but currently does not have a national, official earthquake early warning (EEW) system. Since April of 2021, Google's Android Earthquake Alert System has operated independently in NZ. While recent work has identified general public support for such a system, it is important to assess public knowledge of EEW as well as typical responses to receiving an alert. The protective actions “Drop, cover, and hold” are recommended and taught in NZ and previous research found strong intentions to undertake these and other protective actions in response to an alert. Method: However, it is important to explore a range of responses to these novel EEWs, including how much people know about them, what actions they took in response to the warning, and their overall judgment of the system including its usefulness. We undertook surveys following two widely received alerts from the Android Earthquake Alert System to assess public knowledge, perceptions, and responses to these alerts with a total sample size of 3,150. Results: While most participants who received the alert found it useful, knowledge of both EEW generally and the Android System specifically was low and few participants used the time to protect themselves from shaking. Discussion: These findings reiterate the importance of education and communication around a warning system, so that the public know how to act when they receive an alert.
- ItemThe public's perception of an earthquake early warning system: A study on factors influencing continuance intention(Elsevier, 2023-09-26) Tan M; Vinnell L; Valentin AP; Rahubadde Kankanamge R; Becker J