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International Research Institute for Climate and Society (IRI) Trainings
International Research Institute for Climate and Society (IRI) - International Research Institute for Climate and Society (IRI)This website makes available numerous resources from IRI training events.
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Available online: https://iri.columbia.edu/training/
International Research Institute for Climate and Society (IRI)
Published by: International Research Institute for Climate and Society (IRI) ; 2019This website makes available numerous resources from IRI training events.
Disclaimer regarding 3rd party resources: WMO endeavours to ensure, but cannot and does not guarantee the accuracy, accessibility, integrity and timeliness of the information available on its website. WMO may make changes to the content of this website at any time without notice.
The responsibility for opinions expressed in articles, publications, studies and other contributions rests solely with their authors, and their posting on this website does not constitute an endorsement by WMO of the opinion expressed therein.
WMO shall not be liable for any damages incurred as a result of the use of its website. Please do not misuse our website.Language(s): English
Format: Digital (Free)Tags: Climate change ; Climate services ; Lesson/ Tutorial ; Climate prediction ; Climate monitoring ; Competencies for Provision of Climate Services
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Seasonal Forecast Course Package T.O.P.: Theory and Operational Principles
Institute of Biometeorology (IBIMET) ; World Meteorological Organization (WMO) - CNR-National Research Council"Seasonal Forecast Course Package T.O.P." is a set of online resources whose goal is to enhance knowledge in the theory of seasonal forecasting and operational use of seasonal climate forecasts. The course package has two audiences. The first is training institutions, to facilitate development of additional training courses. The materials and documentations here collected represent the building blocks of a course based on validated contents and user needs. It can also be used by national hydro-meteorological service staff members who wish to improve their climate services competencies or to sp ...
Available online: https://training.climateservices.it/rtc-ibimet/t-o-p-seasonal-forecast/
Institute of Biometeorology (IBIMET) ; World Meteorological Organization (WMO)
Published by: CNR-National Research Council ; 2017"Seasonal Forecast Course Package T.O.P." is a set of online resources whose goal is to enhance knowledge in the theory of seasonal forecasting and operational use of seasonal climate forecasts. The course package has two audiences. The first is training institutions, to facilitate development of additional training courses. The materials and documentations here collected represent the building blocks of a course based on validated contents and user needs. It can also be used by national hydro-meteorological service staff members who wish to improve their climate services competencies or to specialise in seasonal forecasting. For this audience, the course package will provide theoretical and practical knowledge on seasonal forecast and predictability models, climate and data analysis, forecast verification, and specific application of seasonal forecast for agriculture and water management. This website is an online training package developed by the WMO Regional Training Center Italy, Institute of Biometeorology, CNR-National Research Council Rome, Italy, based on a series face-to-face-to-face courses delivered from 2014-17, and provided via a structured website.
Disclaimer regarding 3rd party resources: WMO endeavours to ensure, but cannot and does not guarantee the accuracy, accessibility, integrity and timeliness of the information available on its website. WMO may make changes to the content of this website at any time without notice.
The responsibility for opinions expressed in articles, publications, studies and other contributions rests solely with their authors, and their posting on this website does not constitute an endorsement by WMO of the opinion expressed therein.
WMO shall not be liable for any damages incurred as a result of the use of its website. Please do not misuse our website.Language(s): English
Format: Digital (Standard Copyright)Tags: Climate services ; Climate ; Climate prediction ; Climatic data ; Competencies for Provision of Climate Services
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Climate change effect on wheat production over Ethiopia by model simulation and prediction
Climate is one of the key factors that affect agriculture. Climate change and climate variability have been observed, typically shown as global warming due to the increased greenhouse gases. The change in climate is even predicted to be rapped and sharp in recent future and the impacts of extreme climate condition associated with climate change will be high on agriculture. Studying the impacts of climate change, especially the effects of temperature and precipitation on agriculture, is important for food safety, agricultural management, and sustainable development.
Published by: Nanjing University of Information Science & Technology ; 2017
Climate is one of the key factors that affect agriculture. Climate change and climate variability have been observed, typically shown as global warming due to the increased greenhouse gases. The change in climate is even predicted to be rapped and sharp in recent future and the impacts of extreme climate condition associated with climate change will be high on agriculture. Studying the impacts of climate change, especially the effects of temperature and precipitation on agriculture, is important for food safety, agricultural management, and sustainable development.
Notes: If you wish to download the full text, please contact library(at)wmo.int (Please replace (at) by @).
Language(s): English
Format: Digital (Free)Tags: Agroclimatology ; Impact studies ; Climate prediction ; Climate model ; Climate change ; Ethiopia ; Thesis - WMO Fellowship Division
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Управление рисками с помощью климатической прогностической продукции и обслуживания
Бюллетень, Том 64(2). BMO, 2016масштабах от недель до десятилетий увеличивается по мере того, как частный и государственный секторы признают их актуальность для формирования кли- матической устойчивости и адаптации к изменению климата. Различные типы пользователей стремятся получить специализированное климатическое обслу- живание для принятия долгосрочных решений и пла- нирования для заблаговременного предупреждения о потенциальных опасных явлениях и для адаптации и смягчения изменчивости и изменения климата. Сотрудничество в рамках Глобальной климатической основы для климатического обслуживания (ГРОКО) обеспечивает более э ...
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in Бюллетень > Том 64(2) (2015 г.) . - p.22-25масштабах от недель до десятилетий увеличивается по мере того, как частный и государственный секторы признают их актуальность для формирования кли- матической устойчивости и адаптации к изменению климата. Различные типы пользователей стремятся получить специализированное климатическое обслу- живание для принятия долгосрочных решений и пла- нирования для заблаговременного предупреждения о потенциальных опасных явлениях и для адаптации и смягчения изменчивости и изменения климата. Сотрудничество в рамках Глобальной климатической основы для климатического обслуживания (ГРОКО) обеспечивает более эффективное взаимодействие поставщиков климатической прогностической про- дукции с пользователями с целью удовлетворения беспрецедентного спроса на специализированное климатическое обслуживание. 1
Language(s): Russian; Other Languages: English, French, Spanish
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Climate Predictability in the Stratosphere
In order to accurately predict the day-to-day evolution of weather systems, one needs a detailed description of the initial state of the atmosphere. A good picture of the actual atmospheric conditions is therefore required. Predictability of the atmosphere associated with its initial state is, however, limited to approximately 10 days. Beyond this limit, only statistical properties of atmospheric conditions can be predicted. Of these, the mean state of the atmosphere over some period of time and the probability of extreme weather events are perhaps the most relevant for society.
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in Bulletin > Vol. 65(1) (2016) . - p.54-57In order to accurately predict the day-to-day evolution of weather systems, one needs a detailed description of the initial state of the atmosphere. A good picture of the actual atmospheric conditions is therefore required. Predictability of the atmosphere associated with its initial state is, however, limited to approximately 10 days. Beyond this limit, only statistical properties of atmospheric conditions can be predicted. Of these, the mean state of the atmosphere over some period of time and the probability of extreme weather events are perhaps the most relevant for society.
Language(s): English; Other Languages: French, Russian, Spanish
Format: Digital (Free), Hard copyTags: Climate prediction ; Stratosphere
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Gérer les risques à l’aide des produits et services de prévision climatique
Bulletin, Vol. 64(2). OMM, 2016La demande de previsions climatiques a echeance de quelques semaines a plusieurs decennies augmente car les decideurs du secteur public et du secteur prive se rendent mieux compte de leur utilite pour accroitre la resilience et renforcer l’adaptation a l’egard du changement climatique. Differentes categories d’utilisateurs souhaitent recevoir des services specialises qui facilitent la prise de decision et la planification a long terme, qui ameliorent l’alerte precoce de dangers potentiels et qui favorisent l’adaptation et l’attenuation face a la variabilite et a l’evolution du climat. Le Cadre ...
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Statistical approach towards subseasonal prediction over the Maritime Continent
Ismail Norlaila - 이화여자대학교 대학원, 2016
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Use of Climate Predictions to Manage Risks
World Meteorological Organization (WMO) ; Global Framework for Climate Services (GFCS) - WMO, 2016 (WMO-No. 1174)
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Regional Climate Outlook Forums
A Regional Climate Outlook Forum is a platform that brings together climate experts and sector representatives from countries in a climatologically homogenous region to provide consensus based climate prediction and information, with input from global and regional producing centres and National Meteorological and Hydrological Services, with the aim of gaining substantial socio-economic benefits in climate sensitive sectors.
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Managing Risk with Climate Prediction Products and Services
Bulletin, Vol. 64(2). WMO, 2015Demand for climate predictions on timescales of weeks to decades is accelerating as decision-makers in both private and public sectors increasingly recognize their relevance in building climate resilience and in climate change adaptation. Tailored climate services are sought by various types of users for longer-term decisions and planning, for early warning of potential hazards, and for climate variability and change adaptation and mitigation. Collaboration within the Global Framework for Climate Services (GFCS) is ensuring that providers of climate prediction products interact more effectivel ...
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Building Climate Resilience through Disaster Risk Reduction
Natural hazards involving weather, climate and water are a major source of death, injury and physical destruction. Over the past decade (2005-2014), 3 253 hydrometeorological hazards were reported around the world, resulting in 283 0351 deaths and economic losses amounting to US$ 983 million.
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Proyecto de predicción subestacional a estacional: tendiendo un puente entre el tiempo y el clima
En las últimas décadas se han alcanzado grandes progresos en el desarrollo y las aplicaciones de la predicción del tiempo a medio plazo y la predicción estacional del clima. El proyecto de predicción subestacional a estacional acercará a las comunidades meteorológicas y climáticas para afrontar las escalas de tiempo implicadas, aprovechando la experiencia compartida y complementaria y los conocimientos de predicción, investigación y aplicaciones, en busca de sistemas de predicción del tiempo y del clima que presenten una mayor continuidad e integración.
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Предсказуемость за пределами детерминистических ограничений
Традиционная концепция детерминистических ограничений подвергается сомнению путем рассмотрения возможности определенной успешности прогнозирования во всех временных масштабах от часов до
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Subseasonal to seasonal prediction project: bridging the gap between weather and climate
Great progress has been made in recent decades on development and applications of medium-range weather forecasts and seasonal climate predictions. The subseasonal to seasonal project will bring the weather and climate communities together to tackle the intervening time range, harnessing shared and complementary experience and expertise in forecasting, research and applications, toward more seamless weather/climate prediction systems and more integrated weather and climate services.
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