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Over the past 10 years, meteorologists around the world have been increasingly tapping into data that is routinely communicated between aircraft and air-traffic control called Mode-S EHS.

with others to collect and share these data with our partners across Europe. Through a new intiative, this work will be expanded to capture much more weather data from aircraft flying in other parts of the world. We are working with Flightradar24, who already have a global network of MODE-S receivers

, November 9, 2023 Target simulator Experiments SPLASH CHILL PX1000 Conclusion and Outlook Target Generation Radar Target Radar Antenna - I r t Virtual Target Target Simulator I r s ▶ Polarimetric reception and re-transmission of incoming radar pulses ▶ Full control on time delay, phase and amplitude. 1

development and plans for the next years. References [1] Brown A, Milton S, Cullen M, Golding B, Mitchell J, Shelly A (2012): Unified Modeling and Prediction of Weather and Climate: A 25-Year Journey. Bulletin of the American Meteorological Society. 93. 1865–1877. http://dx.doi.org/10.1175/BAMS-D-12-00018.1

Air Force SEON Network (Data Dissemination) (Program viability) 9 Current Operational Systems: GOES 13—15 • On-orbit spares. • Back-up ground stations. • 7 communications antennas! - 2 S-band dipole, 1 UHF, 2 L-band dipole, 1 omni, 1 S-band horn. • Continuous data transmission. • XRS data latency

is a key for innovative science of Earth-directed CMEs • Towards L5 rather than L4 (CIRs and SEPs) • Science operations start after commissioning (~few months) • Earth-directed CMEs can be studied after S/C has drifted by ~ 20° towards L5 • L5 insertion after ~2 years operation Mission profile

TO CITE THIS DOCUMENT __________________________________________________________________________________________ Citing the complete report: Herring, S. C., M. P. Hoerling, J. P. Kossin, T. C. Peterson, and P. A. Stott, Eds., 2015: Explaining Extreme Events of 2014 from a Climate Perspective. Bull

of water) on height above ground levels. m 1.00E-06 [None] 3 hourly (135h-198h) m s-1 1.00E-09 [None] Hourly (0h-132h) 3 hourly (135h-198h) m s-1 1.00E-09 [None] Hourly (0h-132h) 3 hourly (135h-198h) m s-1 1.00E-09 [None] Hourly (0h-132h) m s-1 1.00E-09 [None] 3 hourly (135h-198h) m s-1 1.00E-09

be acknowledged as a supplier of this content on your application, your website, or in such other reasonable location as may be appropriate. c.  Any acknowledgement required by this paragraph 4 may additionally (at the Licensee’s discretion) include the Met Office’s logo(s) and/or device(s) provided

. Mercado, S. Sitch, E. Blyth, O. Boucher, P. M. Cox, C. S. B. Grimmond, and R. J. Harding. The Joint UK Land Environment Simulator (JULES), model description part 1: Energy and water fluxes. Geoscientific Model Development, 4(3):677–699, 2011. doi: 10.5194/gmd-4-677-2011. URL http://www.geosci-model

3250.0 3500.0 3750.0 4000.0 4500.0 5000.0 5500.0 6000.0 m kg m-2 s-1 Hourly (1h-126h) [None] [None] Hourly (1h-126h) 1 0.1 height: 1.5 m Hourly (0h-126h) hail_fall_ accumulation- PT01H hail_fall_ accumulation- PT15M hail_fall_rate hail_fall_rate_max- PT01H height_ASL_at_ base_of_convective_ inflow