institution name - amazon web services

36
Institution Name Met Office Applied Sciences (UK) The Egyptian Meteorological Authority (EMA) Met Office Applied Sciences (UK) Met Office Applied Sciences (UK) AGRHYMET AGRHYMET EUMETSAT The Egyptian Meteorological Authority (EMA) WMO (CLW/CLPA/WCAS) in cooperation with MeteoFrance and IOC; supported by Programme for Implementing GFCS at Regional and National Scales that was funded by Environment and Climate Change Canada

Upload: others

Post on 04-Nov-2021

1 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Institution Name - Amazon Web Services

Institution Name

Met Office Applied Sciences (UK)

The Egyptian Meteorological Authority (EMA)

Met Office Applied Sciences (UK)

Met Office Applied Sciences (UK)

AGRHYMET

AGRHYMET

EUMETSAT

The Egyptian Meteorological Authority (EMA)

WMO (CLW/CLPA/WCAS) in cooperation with MeteoFrance and IOC; supported by Programme for Implementing GFCS at Regional and National Scales that was funded by Environment and Climate Change Canada

Page 2: Institution Name - Amazon Web Services

GCOS/WIGOS/GFCS/Copernicus in cooperation with UNFCCC

EUMETSAT/FAO/WMO

NAP-GSP (UNDP-UNEP)

Met Office Applied Sciences (UK)

Met Office Applied Sciences (UK)

Met Office Applied Sciences (UK)

Disaster Prevention Research Institute (DPRI), Kyoto University

Nanjing University of Information, Science and Technology (NUIST)

Korea Meteorological Administration (KMA)

Tokyo Climate Center (TCC)

Tokyo Climate Center (TCC)

Page 3: Institution Name - Amazon Web Services

Met Office Applied Sciences (UK)

Met Office Applied Sciences (UK)

Korea Meteorological Administration (KMA)

China Meteorological Administration (CMA) Training Centre

AEMET

NOAA, USIAD, WMO, CIIFEN

SENAMHI/CLIMANDES

AEMET

AEMET

AEMET

The COMET Program

China Meteorological Administration (CMA) Training Centre / WMO RTC Beijing

WMO (CLW/CLPA/WCAS) in cooperation with RIMES and Bhutan Agriculture Research and Development Center; supported by Programme for Implementing GFCS at Regional and National Scales that was funded by Environment and Climate Change Canada

Page 4: Institution Name - Amazon Web Services

The COMET Program

The COMET Program

PAGASA

Met Malaysia

PAGASA, World Food Programme

NAP-GSP (UNDP-UNEP)

IBIMET

WMO, Meteorological Service Singapore (MSS), ASEAN Specialized Meteorological Centre, funded by Environment and Climate Change Canada under CREWS South Asia project

Page 5: Institution Name - Amazon Web Services

National Research Council Institute of Biometeorology (CNR-IBIMET)

University of Reading

National Research Council Institute of Biometeorology (CNR-IBIMET)

Météo-France

Met Office Applied Sciences (UK)

Met Office Applied Sciences (UK)

MSc in Meteorology and Climate Sciences

EUMETSAT

Turkish State Meteorological Service (TSMS)

Page 6: Institution Name - Amazon Web Services

National Research Council Institute of Biometeorology (CNR-IBIMET)

Ecole Nationale de la Météorologie (ENM)

EUMESAT/WMO

PRO NEWS project

Voeikov Main Geophysical Observatory

EUMETSAT/Institute of Meteorology and Water Management National Research Institute (IMGW-PIB) in Krakow, Poland

Page 7: Institution Name - Amazon Web Services

Met Office Applied Sciences (UK)

Ecole Nationale de la Météorologie (ENM)

Met Office Applied Sciences (UK)

EUMETSAT/Copernicus

EUMETSAT

Met JamaicaMet NigeriaMet Cote d'IvoireMet Burkina FasoSENAMHI, MeteoSwissSENAMHI Peru/CLIMANDESMet BhutanMet Senegal

WEMC and BCC

SENAMHI, MeteoSwiss

Page 8: Institution Name - Amazon Web Services

Event Title

Digitisation of seasonal forecasts for verificationClimate Change and Agriculture

South West Indian Ocean Region: Training course on operational seasonal forecasting

Greater Horn of Africa Climate Outlook Forum (GHACOF)

Climate change perspectives and climate risk narratives training session

Atelier sur les services agrométéorologiques pour l’irrigation

L’atelier sur les services agrométéorologiques pour les cultures pluviales

Workshop on the Use of Gridded Satellite Data for Climate Services

Climate Data Processing and Analysis for Technician Course

Page 9: Institution Name - Amazon Web Services

Training course on the use of satellite data and products for drought monitoring and agricultu

Adaptation Finance for African countries

Transformational Leadership in Climate Change training event, Windhoek, Namibia

Climate change training for decision makers, Maputo, Mozambique

Climate change training for decision makers, Windhoek, NamibiaResilient Societies to Cope With Extreme Weather and Water-Related Disasters

Impacts of Climate Change on Agriculture

Capacity Building for Climate Services

Training Seminar on Seasonal Forecast

Training Seminar on One-month Forecast

Improving the value chain from observations to climate services to support climate policy, adaptation and mitigation in East Africa

Page 10: Institution Name - Amazon Web Services

PRECIS Training Course, Tajikistan

Climate Training for the Tajikistan service: bespoke climate model training

Distance learning course on Observation Instruments Maintenance

Bhutan - Awareness Workshop on Climate Risk Management in Agriculture

Information and Communication Technologies for Meteorological Services

International Training Course on Climate Change

Course on generation of regionalized scenarios of climate change

10th International Training Workshops on Climate Variability and Prediction

Course on the Climatol homogenization package

Course on Data Rescue and Quality Control of climatic series

Course on Data Rescue and Quality Control of climatic series

Course on Data Rescue and Quality Control of climatic series

Hydrologic Impacts Under Climate Change (HIUCC)

Page 11: Institution Name - Amazon Web Services

Sedimentation Impacts Under Climate Change (SIUCC)

Climate Training Resources

PAGASA and FAO-JMA Training Seminar on Seasonal Climate Forecast

WMO space based weather and climate extremes monitoring training workshop

Training Workshop on Building Capacities of Technical Staff to Provide Better Climate Monito

Appraisal and Prioritization of Options for Adaptation Planning (NAP) Regional Training

Seasonal Forecast Course Package T.O.P.: Theory and Operational Principles

Best Practice Workshop on Climate Change Projections and their Applications in ASEAN Countries

Page 12: Institution Name - Amazon Web Services

Methodologies for Climate Change Impact Assessment

MSc in Applied Meteorology and Climate with Management

Climate impacts: assessment and communication

Climatology Foundation for Climate Services

Hands on Training in PRECIS, Python and Climate information

Introduction to ClimateMSc in Meteorology and Climate Sciences

Workshop on the Use of Gridded Satellite Data for Climate Services

3rd International Training Course on “Climate Analysis and Applications

Page 13: Institution Name - Amazon Web Services

Climate change: Regional Modeling, data analysis and uncertainties

Climatology, foundation for climate services

The use of Satellite Products for Agriculture

EUMETSAT Winter School on the Use of Satellite Data for Climate Services

Course on Data Rescue

Annual training workshop on Applied Climatology

Page 14: Institution Name - Amazon Web Services

Introduction to climate modellingClimate Change

Foundation climate science and services training

Monitoring Atmospheric Composition

EUMETSAT Winter School on the Use of Satellite Data for Climate Services

Data rescueData rescueData rescueClimate data management Indicadores Climáticos utilizando el paquete de R ClimIndVisData Management for Climate Services Climate and hydrological data managementClimate data management

Climate Services for Renewable Energy Sector

Predicción Climática Estacional – Módulo 3: Aplicaciones prácticas de la información climática para una agricultura resiliente y sustentable

Page 15: Institution Name - Amazon Web Services

Training objective /Short description Start Date

1-Jan-2018

25-Feb-2018

5-Mar-2018

7-Feb-2018

23-Aug-2018

1-Oct-2018

20-Aug-2018

21-Jan-2018

Training in-country consultants to use QGIS (freeware) in taking the forecast image and transferring it to a grid. Consultants can then train NMHS staff, who can then compare the seasonal forecast to gridded observations (e.g. CHIRPS) for verification.

2-week training course for operational forecasters in the 5 IOC countries (Comoros, La Réunion/France, Madagascar, Mauritius and Seychelles); two persons invited from each of the 5 NMHSs to ensure sustainable in-country capacity; workshop conducted in La Reunion so Meteo-France could also provide expertise

Every season, National Met Service staff and users from across East Africa convene to generate and communicate a consensus seasonal forecast. Met Office staff assist in the ‘Pre-COF’ workshop, delivering training for NMHS staff in the use of CPT (Climate prediction Tools) to form one forecast projection, including a measure of the forecast skill.

Climate variability and future changes are usually presented in some form of visualization and/or summary statements. The burden is on the users to interpret the information and include their own experiences and context to generate actionable information. The amount of information can be overwhelming and some visualization may be inappropriate and difficult to interpret. Climate Risk Narratives (CRNs) aim to help to address these challenges. Delivered at the Pre-GHACOF Capacity Building and Training Workshop

The objective of the online training was to enable the participants to use decision support tools such as INSTAT + and CROPWAT software. Handling of these softwares aims to give participants the practical bases for the use of these tools for decision making in irrigation management. The face-to-face workshop aimed at simultaneously addressing the following three challenges: (i) ensuring food security through increased productivity and incomes, (ii) adapting to climate change and (iii) contributing to the mitigation of the impacts of climate change and climate related risk

Le but visé par la formation est de donner aux participants des connaissances théoriques et pratiques sur les approches actuelles en matière de services agrométéorologiques dans de l’eau dans les parcelles agricoles en système de culture irriguée.

The key objective of this Workshop is to instruct active and future users from National Meteorological Services and from research institutions in the use of CM SAF products for operational climate monitoring and climate research. The workshop will focus on the project work with supporting presentations and group work on the application of satellite data to climate monitoring. Participants are encouraged to work on their own projects.

Page 16: Institution Name - Amazon Web Services

31-Oct-2018

25-Sept-2018

18-Apr-2018

17-May-2018

14-Aug-2018

Research type fellowship for 3 to 6 months Around October

5-Nov-2018

27-Aug-2018

29-Jan-2018

12-Nov-2018

It is recognized that there is a need to improve the value chain from observations to climate services to support climate policy, adaptation and mitigation in East Africa. Based on national observations, reanalysis and international data centres can provide information to support climate services and climate policy in countries. However, the quality and amount of national observations available determines the reliability of the information supplied. The aim of the workshop was to determine how to improve the collection and distribution of national data and so improve the reliability of these data products. Outline plans and actions have been identified to improve the observations and data exchange. Using the EU’s Copernicus programme as an example, the workshop explored ways to improve the national observations that underpin climate services and key messages have been submitted to SBSTA-49 in Katowice, Poland.

Improve the use of satellite data and products on agricultural drought monitoring. Promote cooperation between data producers and users and between meteorologist and agronomists working together.

One or two edtions per year

This training focused on the global climate finance architecture and resource mobilization for adaptation planning and action.WMO presented on "Climate rationale to strengthen evidence based adaptation".The training equipped decision-makers with knowledge that will allow them to move away from the ‘business as usual’ way of decision-making, a requirement for the development of climate resilient cities. Sessions focused on (1) showcasing adaptation inspiration cases undertaken to address climate challenges in Africa; (2) co-producing principles for transformative leadership on climate change issues; (3) mainstreaming climate change into city planning and practice; and (4) an introduction to the climate future projections for Windhoek.

Training for municipality official to improve understanding on how climate information is generated and can be accessed. The training included a presentation titled “Climate variability and change” containing a brief summary of climate trends and changes relevant to Maputo and broader concepts of climate. This was followed by an interactive exercise using a game developed by Joseph Daron called “Climate of Cards” to support the use and interpretation of climate data and information, from past observations to future climate projections.

a 3 hour introduction to the basics of climate change science, how to access data and the complexities of using data for decision-making

Participants are expected to master basic theory and principles of the impact of climate change on agro-meteorology. It aims at enabling participants to carry out agro-meteorological forecasting and service, operate modern agricultural monitoring technology, analyze and simulate crop growing system, use and evaluate agricultural climate resources, etc. It will also include elaborations on knowledge and experiences in responding, preventing and mitigating climate change-induced agro-meteorological disasters so as to contribute to sustainable development in agriculture and food security.To increase knowledge and skills of meteorologists and climatologists from developing countries to operate climate services at the national scale

To familiarize with outputs of JMA's numerical prediction model and tools for seasonal prediction and to improve skills in generating seasonal prediction products using statistical downscaling methods

To familiarize with outputs of JMA's numerical prediction model and tools for one-month prediction and to improve skills in generating one-month prediction products using statistical downscaling methods

Page 17: Institution Name - Amazon Web Services

12-Mar-2018

16-Apr-2018

1-May-2018

15-Mar-2018

18-Jun-2018

1-Oct-2018

18-Sep-2018

09.07.2018

28 May 2018

30-Jul-2018

12-Aug-2018

20-Aug-2018

20-Jun-2017

PRECIS is a regional climate model developed by the Met Office and used by researchers and scientists across the world, primarily in developing countries. The 5-day course combines taught sessions with hands on practicals; participants learn about model selection, setup and verification, how to process and analyse model output, and communicate climate information.

Model evaluation and climate scenarios constructions from the CORDEX dataset using IRIS/Python

To enhance understanding of international and China's meteorological observing system and especially of the operation and maintenance of automatic weather station

To increase capacities for the meteorological services utilizing information and communication technologies

Objective: to show the different tools, data and existing procedures about the generation of regionalized climate change scenarios, as well as their application to climate change impact studies

WMO has a longstanding collaboration with NOAA in organizing the series of International Training Workshops on Climate Variability and Prediction (ITWCVP) , including co-sponsorship support for some of the participants from developing countries. The objective of the 10 ITWCVP is to reinforce the understanding of the global and regional climate system, also to reinforce the knowledge gained during previous training workshops, to introduce new concepts in climate monitoring and forecasting and to increase the capacity of NMHSs in climate service. The expected participants to the 10 ITWCVP will be from National Meteorological and Hydrological Services (NMHSs) selected from the WMO regional Associations III and IV.

Before the 1st Data Management for Climate Services Workshop, organized by SENAMHI and the CLIMANDES project, the Climatol developer teached a theoretical-practical course on the Climatol homogenization package and quality control

Objective: to increase the quality control of digitalized series to use them in the generation of regionalized climate change scenarios

Objective: to increase the quality control of digitalized series to use them in the generation of regionalized climate change scenarios

Objective: to increase the quality control of digitalized series to use them in the generation of regionalized climate change scenariosParticipants explored datasets, tools, and methods to assess impacts from a changing climate on surface water hydrology. The course features combined lecture and analysis exercises to showcase options that can be considered and used. Examples illustrated decision-making processes regarding the evaluation of climate change questions across different time and space scales. Climate change questions were applied to sample watersheds to give the students hands-on experience with applying existing tools and models.

Page 18: Institution Name - Amazon Web Services

14-Jun-2016

20.03.2018

10-Jul-2018

use of satellite products for monitoring extreme weather and climate events 29 October-2 November 2018

29-Nov-2018

28-May-2018

Participants explored a method to scope, conduct, and document an assessment of impacts from a changing climate on watershed and channel sedimentation. Lessons in the course focused on the sedimentation processes: production, delivery, and deposition within a river system. Students applied existing watershed erosion models and in-channel sediment transport models to conditions under climate change.

Over 50 Online modules available for use. Earth’s climate engine is a complex machine. COMET has developed a suite of lessons to help you understand some of its bigger cogs. Learn about the El Nino/Southern Oscillation, the Madden-Julian Oscillation, climatology, Arctic ecosystems, and climate change. (English, Spanish, French,, Portugeuse, Indonesian)

The workshop was modelled after the ASEANCOF, focusing on ASEAN member countries, with a similar aim of facilitating knowledge exchange amongst the ASEAN community, but with a focus on defining good practice recommendations for the production of climate change projections and their application by end-users in different sectors.

- Examine the PAGASA pre-packaged sub-seasonal forecast 10-day probabilistic forecast for future improvement;- Further explain how to generate seasonal forecast using model output statistics (MOS);- Promote effective use of Tokyo Climate Center’s (TCC) Interactive Tools for Analysis of the Climate System (iTacs);- Understand forecast verification and guidance; and - Check for possibility to include forecast parameters such as solar radiation and surface wave height into operational Forecasting.

Climate Monitoring using Climate Prediction Center’s (CPC’s) Climate Monitoring Tool (CMT) capacitated the PAGASA technical staff in performing climate assessment and diagnostics analyses utilizing GPC products. This activity will help capacitate PAGASA technical staff in understanding S2S predictability, data access and producing real-time subseasonal forecasts (week 2, week 3-4 forecast), which can eventually be translated into local context to provide meaningful and generate appropriate response for the general public, disaster managers, farmers and fisher folks.

This training explored available tools for the appraisal and prioritisation of adaptation options. WMO offered a session on "Working with climate data: the role of Climate Services Information Systems for NAPs".

"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.

Page 19: Institution Name - Amazon Web Services

28-May-2018

MSc degree course mainly for NMHSs staff Sep every year

25-Jun-2018

11-Jun-2018

5-May-2018

22-Aug-2018

Degree course Autumn

16-Apr-2018

15-Oct-2018

The course is designed for technicians and experts of National Hydro-Meteorological Services and other technical Services involved in climate risk reduction and adaptation. The course is specifically designed for climatologists, agro-meteorologists, agronomists and hydrologists by creating an environment where climate, hydrology and agriculture actors could share a common view and develop a common language. Target countries are the CILSS/ECOWAS Member Countries. The course will be conducted in English. The distance learning module will be carried out through a Moodle platform. The Distance learning is mandatory to participate in the Workshop.

The specific objective of the Course is to strengthen the capacity of national technical services for a better assessment of climate change and its impacts on agriculture and water resources and the consolidation of a network among scientific and technical institutions to work on shared methodologies and to create an objective and harmonized base of information. The aim is to transfer and share the know-how, to expand cooperation in sensitive areas to national and regional levels and to promote exchanges and collaboration through the application of research products and operational tools.

This course offers National Meteorological and Hydrological Services (NMHSs) training in the latest state-of-the-art technologies and best practices in climatology in order to provide the end-user community with the most appropriate and authoritative climate information.

Met Office scientists hosted two visiting scientists from international Met Services as part of a collaborative project. This included 1-2-1 training and support in regional climate modelling (using PRECIS), coding (Python language) and analysis of climate output.

A basic overview of Climate Science; covering topics including climate monitoring, climate change, prediction and modelling, uncertainty impacts, adaptation and mitigation and climate services.

The key objective of this Workshop is to instruct active and future users from National Meteorological Services and from research institutions in the use of CM SAF products for operational climate monitoring and climate research. The workshop will focus on the project work with supporting presentations and group work on the application of satellite data to climate monitoring. Participants are encouraged to work on their own projects.

This training course aims at enhancing knowledge and experience of professional staff in operational climatology, climate research and applications. The scope of the course includes theoretical and practical aspects for understanding the climate system and methodologies for climate analysis and applications. Focus will be made on climate observations, climate data sets, monthly and seasonal climate analyses, annual climate assessment, climate classification, climate indices, heating and cooling degree days, climate change assessment and projections.

Page 20: Institution Name - Amazon Web Services

27-Aug-2018

11-Jun-2018

22-Oct-2018

25-Feb-2019

4-Jun-2018

1-Apr-2018

The purpose of the summer school is to illustrate the progress that has been made in the scientific ability to generate detailed climate projections at the regional scale. The main objectives of the school are thus to provide students with an insight into climate changes and impacts, as well as to associated uncertainties and their communication. Assessments on the most recent techniques for climate data analysis, for regional climate modeling techniques, for climate impact on hydrology and for quality assessment and validation of the observations will be provided.

Advanced training for professional climatologists on tools and methods used in climate monitoring and data management It is designed for meteorologists, climatologists, observing network managers, policy makers and managers in the National Meteorological and Hydrological Service or other organization related to climate, climate services and development capacity management and climate products. The training, led by thirty international experts, highlights the state of the art in the field of climatology since measuring given to climate change. Particular emphasis is placed on practice with real data provided by the trainees especially through tutorials on the homogenization, spatialization and impact of climate change study.

Expand the use of Land-SAF and Hydrology SAF products and other agencies related products among the European agrometeorologists and water managers to enhance the benefits derived and to collect and exchange experience from that use;Development of capacity building at the NMHS and Ministries of Agriculture in Central and Eastern Europe in relation with vegetation status monitoring, soil moisture, rainfall estimations, sand and dust warnings, radiative balance and land use;Institutional cooperation reinforcement between EUMETSAT, WMO, FAO and the National Institutions of the region in terms of satellite product utilization and reception stations optimization for drought management and agriculture production;Development of the cooperation between the Drought Management Centre for South Eastern Europe and other WMO and FAO partners at the Region and benefit from their experience and methods in drought monitoring and institutional agreements.

The key objective of this Workshop is to instruct active and future users from National Meteorological Services, Regional Climate Centres and from research institutions primarily from EUMETSAT member states and WMO RA VI in the use of EUMETSAT climate products for operational climate monitoring and climate research.

Course under the umbrella of the PRO NEWS project in Albania. Objective: training of staff in order to digitilize at least 10 years of daily data to calibrate a hydrological model that will be implemented as an element of the flood warning system of Albania

The purpose of training is to consider the methodology of climate services for diverse economy sectors and social aspect in the context of changing climate condition. The training focused on tailoring climate information for the construction, transportation, energy, and health sectors with a special focus on climate risks identification, assessment and management.

Page 21: Institution Name - Amazon Web Services

28-Jul-2018

16-Mar-2018

18-Nov-2018

5-Nov-2018

28-Jan-2019

implementation of data rescue activitiesimplementation of data rescue activitiesimplementation of data rescue activitiesconsolidation of climate data management

data management needs and solutions to underpin climate servicesimplementation of MCH data management systemTraining of chief climate data manageer

18-May-2018

A one-hour tailored training session for two people from DFID involved in the running of the Asia Regional Resilience to a Changing Climate (ARRCC) programme, during their visit to the Met Office. The training involved going through a presentation material and discussing concepts of climate modelling, to support their understanding of proposed Met Office activities in the DFID funded ARRCC programme.

Training in seasonal forecasting for East Africa using Climate Prediction Tools (CPT)

This online course runs over five weeks and will give participants the chance to discover the space, air and ground-based technologies used to monitor and forecast air quality around the globe. Participants will also have the chance to explore the critical threats affecting the atmosphere and its composition - and how these affect human health, climate change and ecosystems.The course, which is funded by the Copernicus Programme of the European Union, also covers policy and international agreements and explains how to access the huge range of free atmospheric datasets that are now available.

The key objective of this Workshop is to instruct active and future users from National Meteorological Services, Regional Climate Centres and from research institutions primarily from EUMETSAT member states and WMO RA VI in the use of EUMETSAT climate products for operational climate monitoring and climate research.

The purpose of the course was therefore twofold: 1) Update energy practitioners on the state-of-the-art in weather and climate modeling and forecasts at different timescales.2) Create awareness about the application of weather & climate information for the energy sector and help foster a dialogue between both communities to address major energy challenges in upcoming years. The course offered opportunities for discussions and practical examples. These activities also aimed at the drafting of mini-proposals for an energy climate service. In addition, the course included guest lectures to provide in-depth exploration of the current frontiers in the energy and climate nexus and a visit to a nearby energy site. The course was targeted at energy sector specialists with a broad understanding of meteorology and climate, and to meteorologists and climate scientists who wish to better understand the energy business.

Page 22: Institution Name - Amazon Web Services

End Date Frequency Host City Host Country Host Region Language

31-Jan-2018 I English

8-Mar-2018 Annual Cairo Egypt I English

16-Mar-2018 La Reunion France I English

9-Feb-2018 I English

23-Aug-2018 I English

Niamey Niger I French

9-Nov-2018 Niamey Niger I French

21-Sep-2018 Pretoria South Africa I English

1-Feb-2018 Annual Cairo Egypt I English

Each season, 3 offerings in 1028

Page 23: Institution Name - Amazon Web Services

2-Nov-2018 Entebbe Uganda I English

I English

28-Sept-2018 Kigali Rwanda I English

19-Apr-2018 Windhoek Namibia I English

17-May-2018 Maputo Mozambique I English

14-Aug-2018 Windhoek Namibia I English

January Kyoto Japan II English

16-Nov-2018 Annual Nanjing China II English

14-Sept-2018 Seoul Republic of KoreaII English

2-Feb-2018 Tokyo Japan II English

16-Nov-2018 Tokyo Japan II English

Editions in Europe and Africa

Page 24: Institution Name - Amazon Web Services

16-Mar-2018 Dushanbe Tajikistan II Russian

20-Apr-2018 Dushanbe Tajikistan II Russian

1-Jun-2018 N/A II English

16-Mar-2018 Gelephu Bhutan II English

5-Jul-2018 Seoul Republic of KoreaII English

14-Oct-2018 Beijing China II English

29 Sep 18 Montevideo Uruguay III Spanish

20.07.2018 Annual Guayaquil Ecuador III

28-May-2018 Lima Peru III Spanish

3-Aug-2018 Guatemala Guatemala IV Spanish

19-Aug-2018 San Salvador El Salvador IV Spanish

28-Aug-2018 San Jose Costa Rica IV Spanish

22-Jun-2017 Boulder United States of IV English

Page 25: Institution Name - Amazon Web Services

16-Jun-2016 Boulder United States of IV English

Boulder United States of IV

23.03.2018 Biannual Singapore Singapore V English

12-Jul-2018 Quezon City Philippines V English

29 October-2 November 2018 Kuala Lumpur Malaysia V English

7-Dec-2018 Quezon City Philippines V English

31-May-2018 Nadi Fiji V English

Florence Italy VI English

Page 26: Institution Name - Amazon Web Services

22-Jun-2018 Geneva Italy VI English

Sep every year Reading UK VI English

6-Jul-2018 Geneva Italy VI English

22-Jun-2018 Toulouse France VI English

15 Jun 18 Exeter UK VI English

24-Aug-2018 Exeter UK VI English

Toulouse France VI French

18-May-2018 Riga Latvia VI English

19-Oct-2018 Bi-anual Ankara Turkey VI English

Multiple times per year

Page 27: Institution Name - Amazon Web Services

31-Aug-2018 l'Aquila Italy VI English

22-Jun-2018 Annual Toulouse France VI English

25-Oct-2018 Darmstadt Germany VI English

1-Mar-2019 Annual Krakow Poland VI English

13-Jun-2018 Tirania Albania VI

14-Apr-2018 Annual St. Petersburg Russian FederatioVI English

Page 28: Institution Name - Amazon Web Services

28-Jul-2018 Exeter UK VI English

29-Mar-2018 Toulouse France VI English

1-Dec-2018 English

14-Dec-2018 English

4-Feb-2019 Annual English

EnglishEnglishFrenchFrench

Lima Peru Spanish

French

20-May-2018 Shanghai China English

Lima Peru Spanish

French

Page 29: Institution Name - Amazon Web Services

Link Source material Input provided by

ETR

ETR

https://www.wmo.int/gfcs/swiocof6, https://www.wmo.i CLW/CLPA/WCAS

ETR

ETR

ETR

ETR

Page 30: Institution Name - Amazon Web Services

GCOS/WIGOS/GFCS/Copernicus

http://www.wmo.int/pages/prog/wcp/agm/meetings/bu CLW/CLPA/AgM

CLW/CLPA/CCA

ETR

ETR

ETR

FO/FEL/ETR/DRA

ETR

CLW/GFCS and CLPA

CLW/CLPA/CCA

CLW/CLPA/CCA

https://gcos.wmo.int/en/regional-workshops/east-africa-workshop

https://globalsupportprogramme.org/africa_finance

http://www.fractal.org.za/2018/05/21/transformational-leadership-on-climate-change-training-for-windhoek-decision-makers/

http://www.dpri.kyoto-u.ac.jp/en/

https://ds.data.jma.go.jp/tcc/tcc/library/library2017.html

https://ds.data.jma.go.jp/tcc/tcc/library/library2018.html

Page 31: Institution Name - Amazon Web Services

ETR

ETR

CLW/CLPA/CCA

CLW/CLPA/WCAS

CLW/CLPA/CCA

WCAS

ETR

https://www.metoffice.gov.uk/research/applied/international-development/precis/workshops

http://en.cmatc.cma.cn/daohanglianjie/LastestNews/LastestNews/2018-07-12/310.html

http://rtc.kma.go.kr/training/ICTCourse_2018.jsp

http://en.cmatc.cma.cn/daohanglianjie/LastestNews/Trainingbulletin/2018-03-19/280.html

Page 32: Institution Name - Amazon Web Services

ETR

WCAS

CLPA/DMA and OBS/SBO

CLW/CLPA/CCA

ETR

https://www.meted.ucar.edu/training_detail.php?topicSorting=2&module_sorting=titleAsc

https://public.wmo.int/en/events/workshops/best-practice-workshop-climate-change-projections-and-their-applications-asean

http://www.wmo.int/pages/prog/sat/SEMDP/semdp_portal.html

https://globalsupportprogramme.org/nap-gsp-regional-training-workshop-appraisal-adaptation-options-and-prioritisation-pacific-islands

https://training.climateservices.it/rtc-ibimet/t-o-p-seasonal-forecast/

Page 33: Institution Name - Amazon Web Services

ETRFO/FEL/ETR/DRA

ETR

CLW/CLPA/CCA

ETR

ETR

FO/FEL/ETR/DRA

ETR

ETR

https://www.wmo.int/edistrib_exped/grp_Semicircular/_en/02904-2018-ETR-CRS-218_en.pdf

http://www.met.reading.ac.uk/pg-taught

https://www.wmo.int/edistrib_exped/grp_Semicircular/_en/02904-2018-ETR-CRS-218_en.pdf

https://www.wmo.int/gfcs/climatology-foundation-for-climate-services-2018

http://www.enm.meteo.fr/

http://training.eumetsat.int/course/view.php?id=158.

https://www.wmo.int/edistrib_exped/grp_prs/_en/18159-2018-ETR-CRS-2118_en.pdf

Page 34: Institution Name - Amazon Web Services

ETR

ETR and CLW/DMA

ETR

CLW/CLPA/CCA

ETR

GFCS

http://cetemps.aquila.infn.it/issaos/

https://lnkd.in/eHVw7WR

http://training.eumetsat.int/course/view.php?id=158

https://training.eumetsat.int/course/view.php?id=158,

Page 35: Institution Name - Amazon Web Services

ETR

ETR

ETR

ETR

CLW/CLPA/CCA

CLW

http://www.enm.meteo.fr/sites/default/files/upload/Lettre-procedure-assistance-financiere.pdf#page=7

https://www.futurelearn.com/courses/atmospheric-composition

https://training.eumetsat.int/course/view.php?id=158,

http://www.wemcouncil.org/wp/wmo-wemc-gfcs-bcc-training-course-climate-energy-shanghai-china/

Page 36: Institution Name - Amazon Web Services

(empty)