Gary Lezak Founder and CEO, Weather2020 and chief meteorologist, KSHB-TV USA
The operational implementation of MPAS for global, convective-allowing, rapid-refresh NWP on a GPU-enabled HPC system
Todd Hutchinson Director of numerical weather prediction The Weather Company, IBM (co-author) USA
Dr Peter P Neilley 気象予報科学＆テクノロジー部長 The Weather Company（IBM） 米国
The Weather Company (TWC), an IBM business, is implementing its next-generation numerical weather prediction (NWP) system, to be known as the IBM Global High-Resolution Forecast System, or GRAF. The system incorporates the Model for Prediction Across Scales (MPAS) and Gridpoint Statistical Interpolation (GSI) data assimilation software to build day-ahead global weather forecasts that range in resolution from 3km (40% of the world) to 15km (rest of the world). NCAR and IBM have partnered to port MPAS to GPU-accelerated Power9 systems, achieving a significant speed up over conventional CPU-only systems.
How the CREWS initiative is supporting developing countries to improve their early warning systems
John Harding 気候リスクおよび早期警戒システム（CREWS）事務局主任 世界気象機関（WMO） スイス
The Climate Risk and Early Warning Systems (CREWS) initiative aims to mobilize more than US$100m by 2020 to strengthen risk information and early warning systems and to leverage financing to protect populations exposed to extreme climate events. It targets least-developed countries and small island developing states, where the risk of loss of life from high-impact events such as floods, droughts and tropical cyclones is disproportionately high. It has been operating in 19 countries in Africa, the Caribbean and the Pacific, and is now set to expand to three more beneficiary nations.
Space weather (SWX) can affect a number of things, such as GNSS and HF and satellite communications, and can increase exposure to harmful radiation for flight crew. This impact to operations was acknowledged by ICAO in 2011 when the development of the ConOps for Space Weather was started. This process has resulted in the audit and selection of three global space weather centers by the ICAO council in November 2018 and the start of operations planned for November 7, 2019. PECASUS, a consortium of European providers led by FMI, is one of the three global centers (SWXC). This talk covers the international collaboration, phenomena and products for civil aviation users.
12:55 - 13:00
13:00 - 14:30
WMO roundtable: Public-private dialogue
Dr Bradley Illston 上級研究サイエンティスト Oklahoma Mesonet 米国
This presentation will look at the WMO’s contribution to the EU-funded Intra-ACP Climate Services Program. The Global Framework for Climate Services (GFCS), an international initiative spearheaded by WMO, strengthens climate services. The EU-funded Intra-ACP Climate Services Program will support the implementation of GFCS in 79 African, Caribbean and Pacific countries (2019-2024). WMO, a technical partner, will work with regional and national partners to implement the climate services value chain and thus strengthen the provision and use of climate services.
Constellation of cloud characterization imagers (Pleiades)
Dr Pete Roming ダイレクター Southwest Research Institute 米国
One of the weather forecasting gaps is the need for cloud characterization (CC). A distributed low-Earth-orbit constellation of visible, near-infrared (NIR), short-wave-infrared (SWIR) and mid-wave-infrared (MWIR) imagers offers a rapid, cost-effective response for providing CC. Previous efforts have combined visible, NIR, SWIR and MWIR imagers into one 'exquisite' instrument, thus increasing the size, weight, power and cost (SWaP-C) while increasing instrument complexity and delivery time. Separating the imagers into three different high-performing instruments and flying them on a small-sat constellation enables weather priorities to be met, while providing accelerated responsiveness, reduced SWaP-C and resiliency.
Introducing the SoilVUE10 – an advanced TDR soil profiler
Dr Dirk V Baker 応用科学者 Campbell Scientific Inc 米国
Understanding soil water properties is meaningful for scientific research and provides actionable data to support critical infrastructure and operations affected by climatological and weather hazards such as drought, wildfires and floods. Campbell Scientific introduces the SoilVUE10 complete soil profiler. This unique design combines industry-leading time-domain reflectometry with full waveform analysis and a novel threaded probe. Embedding the waveguides (rods) in the threads at multiple depths mitigates two major drawbacks to smooth-sided profilers – soil contact and preferential flow. Superior soil moisture data combined with fast, easy installation make the SoilVUE10 a powerful tool for researchers and observation networks.
An advanced automated MET system
Martin Gazak 最高経営責任者 MicroStep-MIS スロバキア
MicroStep-MIS within the SESAR research program has proposed a unique solution to mitigate the current drawbacks of automated weather observing (AWOS) systems. The system enables enhanced observation of clouds, visibility and weather phenomena, using integrated dual visible/infrared camera imagery in two ways. First, a human MET observer (even at a remote location) is responsible for the processing of images using a dedicated interface. Second, images are processed automatically using artificial intelligence algorithms. Three months of data collection and parallel reporting of METAR (by an official MET observer), AUTOMETAR from AWOS data only, and AUTOMETAR from an advanced automated MET system during validation exercises set a base for preliminary statistical evaluation providing improvement for automatic observations.
Visualizing and analyzing weather and climate data in ArcGIS
Dr Nawajish Noman 主席製品エンジニア Esri 米国
The availability of weather and climate scientific data is increasing exponentially. Exploring and analyzing this data is essential for a better understanding of the impact of global climate patterns. Fortunately, ArcGIS provides functionality for reading, managing, analyzing and visualizing scientific data stored in formats widely used by the scientific community – netCDF, HDF and GRIB. The ArcGIS platform can be leveraged to unleash the full potential of these scientific data sets by providing the information to everyone, whenever and wherever they need it. This paper discusses the capabilities of ArcGIS and some of the best practices using satellite- and model-derived Earth science data.
A look at the Flash Flood Guidance System (FFGS) with global coverage
Petra Mutic 気候・水部門FFGSプロジェクトオフィサー 世界気象機関（WMO） スイス
The WMO’s Flash Flood Guidance System (FFGS) with global coverage is a project designed to give trained operational forecasters from national meteorological and hydrological services access to a variety of real-time products to assess the potential threat of occurrence of flash flooding, so that warnings may be issued in a timely manner. The system gives forecasters access to several products, such as mean areal precipitation, soil moisture estimates, flash flood guidance, forecast flash flood threat, forecast mean areal precipitation, snow cover and melt, etc. The FFGS now covers 64 countries with around three billion people.
R3M: ocean monitoring network initiative in the Macaronesia region
Dr Carlos Barrera 海洋観測装置主任 Oceanic Platform of the Canary Islands（PLOCAN） スペイン
Despite the fact that ocean monitoring has been significantly improved during the last two decades with new platforms, sensors and telemetry systems, there are still many unsolved gaps regarding coverage, data quality and sustainability becoming relevant in regions like Macaronesia, which is made up of archipelagos that are situated far away from each other. A multidisciplinary group of companies and institutions is aiming to consolidate a regional initiative under the name of R3M (Macaronesian Marine Monitoring Network), as a reference framework to gather, manage and display the information provided by all existing in situ observing platforms (fixed and mobile) in the area, according to the needs of specific end users and the general public.
New sensing methods within the TWIGA project
Nick van de Giesen 教授 デルフト工科大学 オランダ
The TWIGA project is funded under the EU H2020 program and connects 10 European and eight African partners. The main goal of TWIGA is to develop new geoservices for Africa, based on innovative in situ observations of water, weather and climate. A wide range of new services has been proposed, from relatively simple spray advice to complex services surrounding seed germination insurance. The types of sensors vary from simple existing sensors being ‘hacked’ for new applications, to microscintillometers for field-scale sensible heat flux measurements. The aim is to strengthen the in situ component of the Global Earth Observation System of Systems (GEOSS).
Modernization of hydromet services: the case of a least-developed country
Yvette Ramos International consultant to the WMO and project manager for NIRAS in a World Bank project Consultant DENMARK
A national meteorology and hydrology service (NMHS) should have the capacity to deliver cost-effective and user-driven services and products that are sustainable, can be operated and maintained in the long term, and that are not disrupted by external shocks such as weather events, blackouts, and so on. The objectives of a NMHS are, in general, to mitigate the effects of natural disasters; promote safety, comfort, efficiency and regularity of air, land, sea and inland water transportation; facilitate sustainable development of natural resources; and ensure data is available to stakeholders for the robust and well-engineered design of diverse water-related infrastructure. These so-called ‘strategic objectives’ are nice on paper, but what is there behind them? Based on experience in promoting modernized management tools in LDCs from Africa and Southeast Asia, this presentation will highlight key challenges in delivering hydromet services and explore opportunities for developers.
Enhanced precipitation and visibility measurements by combined forward scatterer and disdrometer
Tommi Linna Product manager Vaisala Oy FINLAND
Conventional sensors miss the lightest precipitation events or fail in identification too often. Traditional forward scatterers suffer from limited sensitivity, and disdrometers suffer from limited precipitation identification. This introduces safety risk in weather-critical operations. By utilizing light sheets, a high sampling rate and powerful processors, we take detection and identification performance to the next level. The new sensor detects 100% of precipitation. Particle-by-particle analysis enables superior precipitation type assessment. Significant identification enhancement of drizzle, freezing rain, hail and ice pellets improves safety and efficiency. It is big leap toward AUTO-METAR. All-in-one visibility; precipitation identification, intensity, and accumulation; and disdrometer features provide significant cost-saving potential.
LEO-based satellite-IoT services: next-gen connectivity for the meteorological world
Hub Urlings イノベーション＆ESAプログラムマネジャー Hiber オランダ
During the conference in Amsterdam in 2018, the European Space Agency’s presentation gave an overview of current and new satellite-IoT (sat-IoT) connectivity providers. Emphasis then was on the launch of a number of LEO-based systems at the end of 2018. In 2019, however, these systems will be operational, and this presentation will provide an overview of the running services these systems provide alongside existing sat-IoT operators. The presentation will consist of an overview of the satellite-IoT operators, a focus on the new space LEO sat-IoT players, and a meteo use case via LEO sat-IoT.
Vision-based visibility measurement during the night
Harald Ganster 主要研究者 Joanneum Research Forschungsgesellschaft mbH オーストリア
Visibility measurement based on camera images has already been established, with high performance during daytime proved by ongoing evaluations in ATM scenarios and synoptic meteorological applications. The present proposal addresses night-time scenarios, which pose challenges for a camera-based measurement system, such as light sensitivity of the sensor or availability of representative landmarks. The VisIvis system automatically detects the most suitable areas for visibility estimation within the camera-covered range, automatically tunes its detection parameters, and derives representative visibility measures to report in customized or standard formats (e.g. METAR). Performance during the night will be presented, together with examples from different scenarios.
GCOS: toward a global land surface climate fiducial reference measurements network
By implementing and maintaining a stable and metrologically well-characterized global climate reference network, future generations will have access to a set of long-term observations of essential climate variables that will enable them to make more rigorous assessments of climate change and variability, and provide the strong evidence basis that is essential to inform adaptation decisions, and to monitor and quantify the effectiveness of internationally agreed mitigation steps. The Global Climate Observing System’s (GCOS) Atmospheric Observations Panel on Climate agreed on the creation of a dedicated task team to scope a potential GCOS global surface reference network (TT-GSRN). The GSRN will provide the reference element of a tiered network that includes other existing surface observing networks in the WMO system, and it will follow WMO Observing Network Design Principles. The adoption of common terminology and measurement procedures will benefit the ongoing discussions within GCOS and within CIMO for the improvement and revision of best-practice guidelines.
A cloud-based science gateway for enabling open and reproducible science
Dr Mohan Ramamurthy ダイレクター UCAR/Unidata 米国
Unidata, a cyber-infrastructure facility, has been deploying data infrastructure and data-proximate scientific workflows and analysis tools using cloud computing technologies for accessing, analyzing and visualizing geoscience data. Specifically, Unidata has developed techniques that combine access to well-documented data sets with easy-to-use tools, using workflow technologies. In addition to fostering the adoption of virtual machines through Docker containers and Jupyter notebooks, computational and analytic methods are enabled via Software as a Service and Data as a Service techniques with the deployment of the cloud IDV, AWIPS servers, and the THREDDS data server in the cloud to enable open and reproducible science.
How rain and hail influence the performance and structural integrity of wind turbine blades
Hans Verhoef Project manager, wind energy ECN part of TNO NETHERLANDS
Leading edge erosion (LEE) is a phenomenon that is detrimental to the aerodynamic performance and structural integrity of wind turbine blades. In fact, the increase in surface roughness due to the erosion of the leading edge of blades has a significant detrimental effect on the performance of wind turbines. Recent studies show that reduction in the annual energy production (AEP) resulting from eroded blades can vary from 5% to 25% depending on the severity of the damage. This presentation will focus on local precipitation conditions with respect to degradation due to the leading edge erosion of the wind turbine blades.
Using small, unmanned research aircraft for atmospheric-turbulence wind-energy research
Jens Bange 大学教授 エバーハルト・カール大学テュービンゲン ドイツ
Small, unmanned aircraft systems (UAS) are very appropriate instruments for atmospheric measurements. They are very flexible during operation, very mobile, and can be operated in remote areas. UAS are very suitable measurement systems with regard to atmospheric turbulence and the turbulent transportation of energy, momentum, gases and particles. This presentation will discuss the pros and cons of small UAS. Due to the requirements of turbulent wind measurements, the presentation will focus on fixed-wing aircraft, and will discuss an exemplary research UAS with an emphasis on turbulent wind vector measurement. Finally, results obtained in boundary-layer meteorology and wind-energy research will be shown.
Data services to assess and mitigate lightning risk
Dominique Lapeyre de Chavardès プレジデント Météorage フランス
Being the only real real-time weather information, lightning became essential to NMSs for nowcasting, especially with the ‘lightning jump’ characterization of severe thunderstorms. But almost all sectors are lightning risk dependent, both for human safety and for the safety of properties. By sharing the cost between economic actors, data services efficiently mitigate the lightning risk, creating a win-win situation. As lightning detection networks use remote sensing equipment, their field validation requires specific attention. Depending on their requirements for critical operations, each end user will establish their own SLA based on criteria such as IC/CG classification, availability, timeliness or location accuracy.
MeteoTrackerは、自動車を移動測候所として活用し、コネクテッドモバイル気象センサのネットワーク構築を目指すプロジェクトです。このプロジェクトの主要な要素は、コンパクト、軽量、携帯マルチセンサデバイス（正確な温度測定に向けた放射線誤差補正の特許出願中システム装備）、モバイルアプリ、クラウドにリアルタイムでデータをアップロードするソフトウェアインフラ、データ分析と可視化、処理のためのウェブアプリです。プロジェクトはEuropean PO FESR 2014-2020のプログラムの出資を受けており、現在は進行した実用プロトタイプの段階にあります。
WIGOS Station Identifiers (WSI): critical components of the WMO Integrated Global Observing System
Luís Nunes Scientific officer, WIGOS Project Office, observing and information systems department WMO SWITZERLAND
The WMO’s Integrated Global Observing System (WIGOS) is set to become operational from 2020. It is a framework for integrating all data from observing systems, addressing the observing needs of the weather, climate, water and environmental services of WMO members. The main WIGOS technical systems, namely the Observing Systems Capability Analysis and Review (OSCAR) tool and the WIGOS Data Quality Monitoring System (WDQMS) have been developed and will continue to progress. The OSCAR/Surface database is the global repository of WIGOS metadata for all surface-based observations; it is where all the observing stations are registered using the WIGOS Station Identifiers (WSI). Previously, all observing stations were registered using five-digit WMO identifiers. However, many countries have now run out of numbers within their allowable ranges. The new WIGOS Station IDs (WSIs) were created with a structure of four blocks, using digits and alphanumeric characters that will allow essentially an unlimited number of stations to be registered in WIGOS. The implementation of WSIs is mandatory for members and a critical step they have to take to become WIGOS operational. This presentation will address how members need to carefully plan and implement the transition process from the traditional five-digit WMO IDs to the new IDs.
Pilot projects for aeronautical meteorology in the Russian Federation
Artem Korchagin 飛行安全部門スペシャリスト Aviamettelecom of Roshydromet ロシア
This presentation will look at the Aviation Nowcasting System (ANS) at Pulkovo Airport, which is a pilot project that is being undertaken as part of the WMO’s Aviation Research Demonstration Project, and the SIGMET coordination project. The ANS project is focused on aviation weather nowcasting, which includes respective uncertainty/confidence estimation over the Terminal Control Area for the next 0-6 hours. The system at Pulkovo generates four-hour forecasts to assist meteorologists when issuing forecasts. The near-future plan is to implement this system into ATC for decision making support. SIGMET messages contain information on different weather conditions that may affect flight safety. In accordance with ICAO requirements, states with common borders have to agree on the proposed content, horizontal location, vertical depth, boundaries and speed of movement of any SIGMETs affecting, or expected to affect, each state's FIR regions of responsibility. Since 2016, the Russian Federation has actively taken part in the given process at international level. The coordination process provides an opportunity for the each state to exchange the best practices of SIGMET content.