Now showing items 561-580 of 5116

    • Attribution of the Unprecedented 2021 October Heatwave in South Korea 

      Yeon-Hee Kim; Seung-Ki Min; Dong-Hyun Cha; Young-Hwa Byun; Fraser C. Lott; Peter A. Stott (American Meteorological Society, 2022)
      GCM ensembles indicate that the October 2021 South Korean heatwave was extremely unlikely to occur without human influences, which corresponds to 2060s’ new normal without ambitious greenhouse gas mitigation.
    • Record High Warm 2021 February Temperature over East Asia 

      Jinbo Xie (American Meteorological Society, 2022)
      Human-induced warming is estimated to have increased the occurrence probability of events like the record-breaking warm February in East Asia by a factor of 4–20.
    • The Extremely Wet May of 2021 in the United Kingdom 

      Nikolaos Christidis; Peter A. Stott (American Meteorological Society, 2022)
      Human influence and persistent low pressure are estimated to make extreme May rainfall in the United Kingdom, as in year 2021, about 1.5 and 3.5 times more likely, respectively.
    • Water Year 2021 Compound Precipitation and Temperature Extremes in California and Nevada 

      Andrew Hoell; Xiao-Wei Quan; Martin Hoerling; Henry F. Diaz; Rong Fu; Cenlin He; Joel R. Lisonbee; Justin S. Mankin; Richard Seager; Amanda Sheffield; Isla R. Simpson; Eugene R. Wahl (American Meteorological Society, 2022)
      Anthropogenically forced-warming and La Niña forced-precipitation deficits caused at least a sixfold risk increase for compound extreme low precipitation and high temperature in California–Nevada from October 2020 to ...
    • The February 2021 Cold Air Outbreak in the United States: A Subseasonal Forecast of Opportunity 

      John R. Albers; Matthew Newman; Andrew Hoell; Melissa L. Breeden; Yan Wang; Jiale Lou (American Meteorological Society, 2022)
      The sources of predictability for the February 2021 cold air outbreak (CAO) over the central United States, which led to power grid failures and water delivery shortages in Texas, are diagnosed using a machine learning–based ...
    • Outcomes of the WMO Prize Challenge to Improve Subseasonal to Seasonal Predictions Using Artificial Intelligence 

      F. Vitart; A. W. Robertson; A. Spring; F. Pinault; R. Roškar; W. Cao; S. Bech; A. Bienkowski; N. Caltabiano; E. De Coning; B. Denis; A. Dirkson; J. Dramsch; P. Dueben; J. Gierschendorf; H. S. Kim; K. Nowak; D. Landry; L. Lledó; L. Palma; S. Rasp; S. Zhou (American Meteorological Society, 2022)
      There is a high demand and expectation for subseasonal to seasonal (S2S) prediction, which provides forecasts beyond 2 weeks, but less than 3 months ahead. To assess the potential benefit of artificial intelligence (AI) ...
    • La Niña Came to Eden 

      Michael J. McPhaden; Christina Karamperidou (American Meteorological Society, 2022)
      In July 1929, Dr Friedrich Ritter and Dore Strauch left their spouses and the turmoil of post–World War I Germany for the remote, uninhabited, and rugged volcanic island of Floreana in the Galapagos archipelago. Their dream ...
    • Addressing the Microburst Threat to Aviation: Research-to-Operations Success Story 

      John McCarthy; Robert Serafin; James Wilson; James Evans; Cathy Kessinger; William P. Mahoney (American Meteorological Society, 2022)
      Microburst wind shear has caused or contributed to a significant number of aviation accidents. Since 1943, wind shear accidents have been responsible for more than 1,400 fatalities worldwide, including over 400 deaths in ...
    • Conducting Climate Change Risk Assessments for Companies: Lessons Learned 

      Natalie Teale; Steven M. Quiring (American Meteorological Society, 2022)
      As the private sector becomes increasingly aware of the risks associated with climate change, climatologists have been engaging with companies to assess climate change risks and opportunities. Here, we outline how we have ...
    • Weather Observations Reach the Summit of Mount Everest 

      Tom Matthews; Baker Perry; Arbindra Khadka; Tenzing Gyalzen Sherpa; Dibas Shrestha; Deepak Aryal; Subash Tuldahar; Nirakar Thapa; Niraj Pradhananga; Peter Athans; Dawa Yangzum Sherpa; Heather Guy; Anton Seimon; Aurora Elmore; Kristina Li; Nicole Alexiev (American Meteorological Society, 2022)
      The predictability of the weather on Mount Everest’s upper slopes can be a matter of life or death for those trying to climb the world’s highest mountain, yet the performance of forecasts has been almost unknown due to a ...
    • The Worldwide C3S CORDEX Grand Ensemble: A Major Contribution to Assess Regional Climate Change in the IPCC AR6 Atlas 

      Javier Diez-Sierra; Maialen Iturbide; José M. Gutiérrez; Jesús Fernández; Josipa Milovac; Antonio S. Cofiño; Ezequiel Cimadevilla; Grigory Nikulin; Guillaume Levavasseur; Erik Kjellström; Katharina Bülow; András Horányi; Anca Brookshaw; Markel García-Díez (American Meteorological Society, 2022)
      The collaboration between the Coordinated Regional Climate Downscaling Experiment (CORDEX) and the Earth System Grid Federation (ESGF) provides open access to an unprecedented ensemble of regional climate model (RCM) ...
    • ¿Aviso o Alerta? Developing Effective, Inclusive, and Consistent Watch and Warning Translations for U.S. Spanish Speakers 

      Joseph E. Trujillo-Falcón; América R. Gaviria Pabón; Joseph T. Ripberger; Abby Bitterman; Jonathan B. Thornton; Makenzie J. Krocak; Sean R. Ernst; Estilita Cassiani Obeso; John Lipski (American Meteorological Society, 2022)
      Spanish-speaking populations in the United States are more vulnerable in disaster contexts due to inequities, such as language barriers, that prevent them from receiving life-saving information. For the past couple of ...
    • Trailing Horizontal Vortices in Observed and Numerically Simulated Tornadoes 

      Maurício I. Oliveira; Ming Xue; Brett Roberts (American Meteorological Society, 2022)
      High-resolution numerical simulations of supercell storms reveal complex distributions of vorticity in the vicinity of tornadoes, especially when visualized in three dimensions. As in the simulations, quasi-horizontal ...
    • Spring Land Temperature in Tibetan Plateau and Global-Scale Summer Precipitation: Initialization and Improved Prediction 

      Yongkang Xue; Ismaila Diallo; Aaron A. Boone; Tandong Yao; Yang Zhang; Xubin Zeng; J. David Neelin; William K. M. Lau; Yan Pan; Ye Liu; Xiaoduo Pan; Qi Tang; Peter J. van Oevelen; Tomonori Sato; Myung-Seo Koo; Stefano Materia; Chunxiang Shi; Jing Yang; Co (American Meteorological Society, 2022)
      Subseasonal-to-seasonal (S2S) precipitation prediction in boreal spring and summer months, which contains a significant number of high-signal events, is scientifically challenging and prediction skill has remained poor for ...
    • Applications of Geostationary Hyperspectral Infrared Sounder Observations: Progress, Challenges, and Future Perspectives 

      Jun Li; W. Paul Menzel; Timothy J. Schmit; Johannes Schmetz (American Meteorological Society, 2022)
      A hyperspectral infrared (IR) sounder from geostationary orbit provides nearly continuous measurements of atmospheric thermodynamic and dynamic information within a weather cube, specifically the atmospheric temperature, ...
    • Working toward a National Coordinated Soil Moisture Monitoring Network: Vision, Progress, and Future Directions 

      C. Bruce Baker; Michael Cosh; John Bolten; Mark Brusberg; Todd Caldwell; Stephanie Connolly; Iliyana Dobreva; Nathan Edwards; Peter E. Goble; Tyson E. Ochsner; Steven M. Quiring; Michael Robotham; Marina Skumanich; Mark Svoboda; W. Alex White; Molly Wolos (American Meteorological Society, 2022)
      Soil moisture is a critical land surface variable, impacting the water, energy, and carbon cycles. While in situ soil moisture monitoring networks are still developing, there is no cohesive strategy or framework to coordinate, ...
    • Global Ocean Monitoring and Prediction at NOAA Climate Prediction Center: 15 Years of Operations 

      Zeng-Zhen Hu; Yan Xue; Boyin Huang; Arun Kumar; Caihong Wen; Pingping Xie; Jieshun Zhu; Philip J. Pegion; Li Ren; Wanqiu Wang (American Meteorological Society, 2022)
      Climate variability on subseasonal to interannual time scales has significant impacts on our economy, society, and Earth’s environment. Predictability for these time scales is largely due to the influence of the slowly ...
    • Why Seasonal Prediction of California Winter Precipitation Is Challenging 

      Xianan Jiang; Duane E. Waliser; Peter B. Gibson; Gang Chen; Weina Guan (American Meteorological Society, 2022)
      Despite an urgent demand for reliable seasonal prediction of precipitation in California (CA) due to the recent recurrent and severe drought conditions, our predictive skill for CA winter precipitation remains limited. ...
    • The Copernicus Climate Change Service: Climate Science in Action 

      Carlo Buontempo; Samantha N. Burgess; Dick Dee; Bernard Pinty; Jean-Noël Thépaut; Michel Rixen; Samuel Almond; David Armstrong; Anca Brookshaw; Angel Lopez Alos; Bill Bell; Cedric Bergeron; Chiara Cagnazzo; Edward Comyn-Platt; Eduardo Damasio-Da-Costa; An (American Meteorological Society, 2022)
      The Copernicus Climate Change Service (C3S) provides open and free access to state-of-the-art climate data and tools for use by governments, public authorities, and private entities around the world. It is fully funded by ...
    • The Copernicus Atmosphere Monitoring Service: From Research to Operations 

      Vincent-Henri Peuch; Richard Engelen; Michel Rixen; Dick Dee; Johannes Flemming; Martin Suttie; Melanie Ades; Anna Agustí-Panareda; Cristina Ananasso; Erik Andersson; David Armstrong; Jérôme Barré; Nicolas Bousserez; Juan Jose Dominguez; Sébastien Garrigu (American Meteorological Society, 2022)
      The Copernicus Atmosphere Monitoring Service (CAMS), part of the European Union’s Earth observation program Copernicus, entered operations in July 2015. Implemented by the European Centre for Medium-Range Weather Forecasts ...