Tag Archive: BoM

CLEX tropical variability meeting: Andrew Marshall (Bureau of Meteorology)

February 18, 2019 1:20 pm Published by Leave your thoughts

JOIN THE MEETING The zoom meeting details are as follow:   Join from PC, Mac, Linux, iOS or Android: https://unsw.zoom.us/j/825572965 Or iPhone one-tap:  16699006833,825572965# or 16465588656,825572965#   Or Telephone:     Dial: +1 669 900 6833 (US Toll) or +1 646 558 8656 (US Toll)     Meeting ID: 825 572 965     International numbers available: https://zoom.us/u/ax4KAMBB6   Or a H.323/SIP room system:     SIP:7588@aarnet.edu.au     or H323:825572965@  (From Cisco)     or H323:  (From Huawei, LifeSize, Polycom)     or or (U.S.)     Meeting ID:... View Article

UMELB1: A historical analysis of Australian climate extremes (based at UMelb/BoM)

August 14, 2018 4:22 pm Published by Comments Off on UMELB1: A historical analysis of Australian climate extremes (based at UMelb/BoM)

This project provides an exciting opportunity to develop the longest homogenised daily climate record for Perth using newly digitised observations beginning in 1830. The project will involve working with BoM staff to conduct state-of-the-art quality control measures on the new historical observations to allow a reliable, long-term analysis of extremes and their possible dynamical causes.

Seminar: BARRA: A regional atmospheric reanalysis for Australia (Live streamed)

May 15, 2018 11:48 pm Published by Leave your thoughts

Speakers: Doerte Jakob, Chun Hsu Su, Nathan Eizenberg, Peter Steinle. Video connection details (Note the change) Name: Bureau of Meteorology – R&D Seminars. Video Address – Bureau Internal:  558912. External Participants: 558912@bom.gov.au. PIN:  3099#. Audio Connection: +61 3 9900 8912 The Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia (BARRA) is the first of its kind for the Australian region. The Bureau of Meteorology is making a major investment into this new dataset because of the important benefits it offers to Australia. Reanalysis datasets are... View Article