Royal Meteorological Society (RMetS)’s Post

Congratulations to the World Meteorological Organization who has published the updated Guide to the WMO Integrated Processing and Prediction System (WIPPS), formerly known as the WMO Global Data-Processing and Forecasting System (GDPFS). Read more in this informative post by Andrew Tupper

🌍 what makes this update groundbreaking? The World Meteorological Organization reaffirms its global commitment to sharing vital information that can save lives, protect property, and help communities prepare for weather-related disasters. From #climate to ocean predictions, tropical cyclone to emergency forecasts, and even volcanic ash cloud forecasts, this is the operational backbone ensuring that nobody is left behind!!! Let's celebrate this monumental achievement and the brighter, more informed future it heralds for global meteorology. 🌤️🌈 #WMO #Meteorology #GlobalCooperation #WeatherPrediction #ClimateAction

It's out! After a thirty year gap, the World Meteorological Organization (WMO) has published the updated Guide to the WMO Integrated Processing and Prediction System (WIPPS), formerly known as the WMO Global Data-Processing and Forecasting System (GDPFS). So why is this important? The WIPPS, despite the dry name, is one of the two most important things in operational meteorology. It's the system that defines how, after meteorological observations are freely shared in real time between countries (the *other* of the two most important things, and organised with the WMO Integrated Global Observing System (WIGOS) and WMO Information System (WIS)), the numerical predictions created using those observations are shared *back* to the world, so that everybody has free access to the best possible, quality managed, continuously improving and verified predictions. Numerical weather prediction is enormously computationally expensive, and without a system for sharing the outputs, the world would be divided into those countries who can afford to run the very best, and those with nothing at all (despite sharing their own observations into the system). If we want communities to be able to take anticipatory action ahead of potential weather-related disasters, we want them to have the best possible weather predictions, through the WIPPS. If we want to share climate predictions, ocean predictions, tropical cyclone forecasts, emergency forecasts of nuclear material, sand and dust storm forecasts, and volcanic ash cloud forecasts, we use the WIPPS. And if we want to do these things in the most equitable possible way for societal benefit, we will use the WIPPS as an operational backbone. The Guide, alongside the more technical Manual on the WMO Integrated Processing and Prediction System, describes how to use the system, and is published in the six official WMO languages (English, French, Russian, Spanish, Arabic, Chinese). Thank you to Eunha Lim, Yuki Honda, and the other members of the WMO Secretariat who helped us as the WMO Expert Team to renew the Guide (myself, Qingliang ZHOU, Gerhard Wotawa, Arun Kumar, Caio Coelho, Tom Robinson), and thank you in particular to Alice Soares who did the bulk of the heavy lifting. The Guide will be further expanded and improved in the coming years. https://lnkd.in/gCESH339

CLIMATE DATA: Improving #stratospheric and #tropical forecasts would improve monthly forecasts for #Europe, Finnish Meteorological Institute reports A new report by Alexey Karpechko, research professor at #FMI has showed that monthly #forecasts in mid and high latitudes would be improved if #weathermodels better predicted variability in the stratosphere and tropical atmosphere. The study, named “The tropical influence on sub-seasonal predictability of wintertime stratosphere and stratosphere–troposphere coupling”, has been published in the Quarterly Journal of Royal Meteorological Society (RMetS).  Read more here: https://lnkd.in/eU7MuE4X #Meteorology #Climate #ClimateChange #Science #Weather #Data #Forecasts #Environment #Technology #MetTechExpo #MetTechExpoNA

FORECASTING: Finnish Meteorological Institute report reveals meteorological factors that affect the reliability of four-week cold weather forecasts in #NorthernEurasia The report reveals that forecasts of cold weather made three-to-four weeks ahead are more likely to be correct when high-pressure systems are already present over #Scandinavia or the #NorthernAtlantic, and the weather in Northern Eurasia is already cold. On the other hand, these cold spell forecasts were found more likely to be incorrect when strong convective clouds develop over the tropical Indian ocean. The findings were published in the 'Factors influencing subseasonal predictability of northern Eurasian cold spells' study by FMI researcher Irina Statnaia in the in the Quarterly Journal of Royal Meteorological Society (RMetS).  Read more here: https://lnkd.in/dFfjjtD2 #Meteorology #Climate #ClimateChange #Science #Weather #Data #Forecasts #Environment #Technology #MetTechExpo #MetTechExpoNA

Please take note of this important publication. WIPPS is one of the three pillars of the World Meteorological Organization World Weather Watch WWW). The WWW comprises : the WMO Integrated Global Observing System (WIGOS), the WMO Information System (WIS) and the WMO Integrated Processing and Prediction System (WIPPS). Without the WWW (established under a United Nation Resolution in 1963), weather and environmental analysis and prediction would not be possible. Billions of people around the world rely on this global architecture (operated nationally by National Meteorological and Hydrological Services) on a continuous basis to be warned of high impact weather and environmental conditions. As such this is a fundamental System of Systems necessary to deliver on the UN Secretary General initiative called Early Warning for All (EW4A).

DATA: NOAA: National Oceanic & Atmospheric Administration launches Salish Seas and Columbia River operational forecast system NOAA has launched the Salish Sea and Columbia River operational forecast system (SSCOFS), which uses an advanced computer model to forecast water level measurements up to three days into the future in the #SalishSea and #ColumbiaRiver. The tool’s forecasts are designed to help mariners better understand the present and future state of water levels, currents and other oceanographic variables – like temperature and salinity – in a coastal area. Read more here: https://lnkd.in/eZJNy_iS #Meteorology #Climate #ClimateChange #Science #Weather #Data #Forecasts #Environment #Technology #MetTechWorldExpo #MetTechExpoNA #ukimediaevents

DATA: #ElNiño and #LaNiña improve European winter weather forecasts, National Centre for Atmospheric Science discovers A study led by researchers at #NCAS has found that forecasts of European winter weather patterns are more accurate during years of strong El Niño or La Niña events. The researchers found that the ability to predict these patterns varies greatly from year to year. Some #winters are much more predictable than others, depending on conditions in other parts of the world. The study shows that when strong El Niño or La Niña events are occurring, weather forecasters can place more confidence in long-range predictions for the coming winter. Dr Laura Baker, lead author of the research at the NCAS and University of Reading, said, “Understanding when seasonal forecasts are likely to be more or less reliable could help everyone from #energy companies planning for winter demand to #government agencies preparing for potential weather-related emergencies. Our findings could help to improve long-range winter forecasts in other parts of the world, as well as Europe. As #climatechange continues to alter global weather patterns, research like this plays a crucial role in improving our ability to anticipate and prepare for future winter conditions.” Read more here: https://lnkd.in/e_aHU6VW #Meteorology #Climate #ClimateChange #Science #Weather #Data #Forecasts #Environment #Technology #MetTechExpo #MetTechExpoNA #ukimediaevents

Enhancing Meteorological Variables Accuracy through Bias Correction | Quantile Mapping Approach Discover the cutting-edge techniques in meteorological data analysis with My in-depth exploration of bias correction and quantile mapping approaches. This video delves into the intricate world of enhancing the accuracy of meteorological variables, a crucial aspect of understanding and predicting climate change. I'll guide you through the process of improving climate model outputs, discussing the importance of bias correction in climate science, and demonstrating how quantile mapping can significantly refine our understanding of weather patterns and long-term climate trends. Whether you're a climate scientist, meteorologist, or simply passionate about environmental studies, this video offers valuable insights into the methods that are shaping our ability to forecast and adapt to our changing climate. for more information follow my YouTube channel (https://lnkd.in/dnax3V_A). #climatescience, #biascorrection, #quantilemapping, #meteorology, #weatherforecasting, #climatechange, #dataanalysis, #environmentalstudies, #climatemodels, #atmosphericscience, #climateresearch, #weatherpatterns, #climateadaptation, #dataaccuracy, #climateprediction, #meteorologytechniques, #climatedata, #environmentalpolicy, #globalwarming, #climateaction

Weather prediction has been one of the defining scientific success stories of the 20th century. For all the bad press that the local TV meteorologist endures, forecasting has been reliably improving for multiple decades. Over the last decade, the general feeling within the research community, however, has been that we may be approaching the mathematical ceiling of how good our forecasts can get. Not so fast... #Weather #Climate #AGU