TY - JOUR
T1 - Winter Targeted Observing Periods during the Year of Polar Prediction in the Southern Hemisphere (YOPP-SH)
AU - Bromwich, David H.
AU - Gorodetskaya, Irina V.
AU - Carpentier, Scott
AU - Alexander, Simon
AU - Bazile, Eric
AU - Heinrich, Victoria J.
AU - Massonnet, Francois
AU - Powers, Jordan G.
AU - Carrasco, Jorge F.
AU - Cayette, Arthur
AU - Choi, Taejin
AU - Chyhareva, Anastasiia
AU - Colwell, Steven R.
AU - Cordeira, Jason M.
AU - Cordero, Raul R.
AU - Doerenbecher, Alexis
AU - Durán-Alarcón, Claudio
AU - John French, W. R.
AU - Gonzalez-Herrero, Sergi
AU - Guyot, Adrien
AU - Haiden, Thomas
AU - Hirasawa, Naohiko
AU - Imazio, Paola Rodriguez
AU - Kawzenuk, Brian
AU - Krakovska, Svitlana
AU - Lazzara, Matthew A.
AU - Litell, Mariana Fontolan
AU - Manning, Kevin W.
AU - Norris, Kimberley
AU - Park, Sang Jong
AU - Ralph, F. Martin
AU - Rowe, Penny M.
AU - Sun, Qizhen
AU - Vitale, Vito
AU - Wille, Jonathan D.
AU - Zhang, Zhenhai
AU - Zou, Xun
N1 - Publisher Copyright:
© 2024 American Meteorological Society.
PY - 2024/9
Y1 - 2024/9
N2 - The Year of Polar Prediction in the Southern Hemisphere (YOPP-SH) held seven targeted observing periods (TOPs) during the 2022 austral winter to enhance atmospheric predictability over the Southern Ocean and Antarctica. The TOPs of 5–10-day duration each featured the release of additional radiosonde balloons, more than doubling the routine sounding program at the 24 participating stations run by 14 nations, together with process-oriented observations at selected sites. These extra sounding data are evaluated for their impact on forecast skill via data denial experiments with the goal of refining the observing system to improve numerical weather prediction for winter conditions. Extensive observations focusing on clouds and precipitation primarily during atmospheric river (AR) events are being applied to refine model microphysical parameterizations for the ubiquitous mixed-phase clouds that frequently impact coastal Antarctica. Process studies are being facilitated by high-time-resolution series of observations and forecast model output via the YOPP Model Intercomparison and Improvement Project (YOPPsiteMIIP). Parallel investigations are broadening the scope and impact of the YOPP-SH winter TOPs. Studies of the Antarctic tourist industry’s use of weather services show the scope for much greater awareness of the availability of forecast products and the skill they exhibit. The Sea Ice Prediction Network South (SIPN South) analysis of predictions of the sea ice growth period reveals that the forecast skill is superior to the sea ice retreat phase.
AB - The Year of Polar Prediction in the Southern Hemisphere (YOPP-SH) held seven targeted observing periods (TOPs) during the 2022 austral winter to enhance atmospheric predictability over the Southern Ocean and Antarctica. The TOPs of 5–10-day duration each featured the release of additional radiosonde balloons, more than doubling the routine sounding program at the 24 participating stations run by 14 nations, together with process-oriented observations at selected sites. These extra sounding data are evaluated for their impact on forecast skill via data denial experiments with the goal of refining the observing system to improve numerical weather prediction for winter conditions. Extensive observations focusing on clouds and precipitation primarily during atmospheric river (AR) events are being applied to refine model microphysical parameterizations for the ubiquitous mixed-phase clouds that frequently impact coastal Antarctica. Process studies are being facilitated by high-time-resolution series of observations and forecast model output via the YOPP Model Intercomparison and Improvement Project (YOPPsiteMIIP). Parallel investigations are broadening the scope and impact of the YOPP-SH winter TOPs. Studies of the Antarctic tourist industry’s use of weather services show the scope for much greater awareness of the availability of forecast products and the skill they exhibit. The Sea Ice Prediction Network South (SIPN South) analysis of predictions of the sea ice growth period reveals that the forecast skill is superior to the sea ice retreat phase.
KW - Antarctica
KW - Cloud microphysics
KW - Numerical analysis/ modeling
KW - Numerical weather prediction/ forecasting
KW - Southern Ocean
UR - https://www.scopus.com/pages/publications/85203554939
U2 - 10.1175/BAMS-D-22-0249.1
DO - 10.1175/BAMS-D-22-0249.1
M3 - Article
AN - SCOPUS:85203554939
SN - 0003-0007
VL - 105
SP - E1662-E1684
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
IS - 9
ER -