0.4 M. Ondráš 09/06/2017 Inclusion of comments received from potential PPs and CSs M. 09/06/2017 0.5 M. Ondráš 04/07/2017 Inclusion of comments received from the Final Conference of the Phase I M. Dacić 30/07/2017 0.6 S. Lappi 23/10/2017 Inclusion of further comments from PPs M. Dacić 05/1/2018 TABLE OF CONTENTS
3.2.4 R Develop an agreement with contributing stakeholders regarding responsibilities for the operation and maintenance of the advisory system and its components Agreement developed and adopted 11/2019 - 07/2020 PSC, PO, ROE (PAG, all TTs) 2 56 3.1.3, 3.1.6, 3.2.2, 3.2.3 3.2.5 R Prepare capacity development and training programme addressing existing gaps vis-à-vis the envisaged advisory system. Develop agreements to implement the capacity building activities Agreements, including the detailed programme, adopted and defined capacity development activities implemented 05/2018 (capacity building throughout the project) PSC & PO (PAG, all TTs, contributing stakeholders) 3 1,037 3.1.3, 3.4.1, 3.5.9, 3.6.1, proposals from PPs 3.2.6 R Draft a research and development plan for continuing collaboration in the scientific undertakings relevant to improving operation of the system Research and development plan developed and adopted 06/2019 - 01/2022 PSC based on proposal from TT-Sci 10 56 3.3. Collaboration with other relevant projects 3.3.1 R Seek approval from RA VI for implementation of SWFDP tailored for SEE Implementation approved by RA VI 02/2018 DPFS, ROE 0.2 0 Outcome of RA VI Session 3.3.2 R Identify resources for implementation of SWFDP tailored for SEE Resources identified and made available for SWFDP-SEE implementation 12/2017 – 03/2018 DPFS, PO, ROE 0.2 0 3.1.3; 3.1.8, 3.2.2 3.3.3 R Implementation of tailored priority tasks (to be defined) Synergy between SWFDP-SEE and 06/2018 – 07/2020 DPFS 12 350 3.3.1, 3.3.2 3.3.4 Expansion of the current FFG system to include Cyprus, Greece and Hungary Establishment of backup Regional Centre, establishment of a FFGS on existing LAM in Cyprus, Greece and Hungary, urban FFGS for four cities, 06/2018 - 07/2020 HWR 24 3,242 3.1.3, 3.1.8, 3.4.1, 3.4.10, 3.4.11
landslide susceptibility mapping for all participating countries, inclusion of radar precipitation, enhancement of hydrometeorological network, catchment relationship, and training 3.3.5 Establishment a stand-alone FFGS for Ukraine Ukraine FFGS, including riverine routing, enhancement of hydrometeorological network, catchment relations, and training 06/2018 - 07/2020 HWR 990 3.1.3, 3.1.8, 3.4.1, 3.4.10, 3.4.11 3.3.6 Conduct workshops, in coordination with DPFS and PWS, on the of (a) observations, (b) forecasting and modelling, and (c) information and communication to DRR Workshops conducted 08/2018 - 10/2020 DRR, ROE 8 74 3.2.4 3.4 Observations 3.4.1 R, N Compile an inventory, using the OSCAR/surface tool, of the capabilities of the SEE observing systems. Provide recommendations to fill identified gaps and for further strengthening of the observing systems including pilot projects Inventory compiled, gaps identified, actions to fill them and further strengthening recommended 2/2018 - 12/2018 TT-Obs & WIGOS, (PO) R: 3 N: 2 37 Availability of national and WIGOS resources 3.4.2 R Define the scope of data, including the temporal and spatial resolutions, data formats and data volumes, that shall be provided by Scope of data to be exchanged, including their formats developed and agreed upon by 02/2018 PSG & TT-Obs, with help from working structure 2 37 3.2.1, 3.4.1, 3.4.7, 3.4.8, 3.4.10, 3.4.11 07/2018
infrastructure and software CODB pre-operational (PAG) 3.4.10 R, N Identify host and establish the second weather centre for SEE countries and their radars not covered by OPERA. Define data and products that would be needed for nowcasting purposes, including for hydrological models Weather radar centre established as proposed by PSC, processed data ready for CODB, hydrological models and nowcasting purposes 09/2019 - 11/2020 TT-Obs & & host of the Centre, PSC (TT-ICT, PAG) R: 3 N: 12 187 Readiness to host the centre and availability of national resources; 3.4.10 3.4.11 N Produce, where not existing, and collect available gridded historical precipitation and temperature observations over 10 to 30 years for calibration of hydrological models (projects similar to CARPATCLIM) Gridded data provided to CODB and available for calibration of the regional hydrological models for selected river catchments 10/2018 - 01/2020 PPs, (TT-Mod) 10 51121 3.2.1, 3.5.3; inadequate national data policies 3.5 Forecasting and Modelling 3.5.1 R Identify global NWP models for the purposes of the advisory system and make an agreement with the respective consortia on their use for the project Global NWP for identified. Agreement signed with the respective NWP consortia to provide lateral boundary conditions to nested LAM models - 04/2018 PSC & Consortia, (TT-Mod, PO, PAG) 0.5 16 Policy of the identified NWP Consortia 3.5.2 R Identify high resolution NWP LAM models for the purposes of the advisory system and make an agreement with the respective consortia on their use for the project, agree on licences NWP LAM models for SEE-MHEWS-A identified. Agreement signed with the respective NWP consortia to implement high resolution LAMs in the identified HPCF 02/2018 - 07/2018 PSC & Consortia, (TT-Mod, PO, PAG) 1 97 Policy of the identified NWP Consortia 3.5.3 R Identify regional hydrological models for the purposes of the Regional hydrological models for 03/2018 - 07/2018 PSC & Consortia / owners, 0.5 59 Policy of the identified
advisory system and make an agreement with the respective consortia/owners on use of their models for SEE-MHEWS-A, agree on licences identified. Agreement signed with the respective consortia/owners to implement defined models in the identified computing facility (TT-Mod, PO, PAG) Consortia/owner 3.5.4 R Identify regional marine/oceanographic models for the purposes of the advisory system and make an agreement with the respective consortia/owners on use of their models for SEE-MHEWS-A, agree on licences Marine/oceanographic models for identified. Agreement signed with the respective consortia/owners to implement defined models in the identified computing facility 03/2018 - 07/2018 PSC & Consortia, (TT-Mod, PO, PAG) 0.5 49 Policy of the identified NWP Consortia/owner 3.5.5 R Identify sand and dust forecasting model(s) for the purposes of the advisory system and make an agreement with the respective consortia/owners on use of their models for SEE-MHEWS-A, agree on licences Sand and dust forecasting model(s) models for identified. Agreement signed with the respective consortia/owners to implement defined models in the identified computing facility 03/2018 - 07/2018 PSC & Consortia, (TT-Mod, PO, PAG) 0.5 49 Policy of the identified NWP Consortia/owner 3.5.6 R Develop a feasibility study and identify host(s) that could provide their computing facility to operate high-resolution LAM models for the purposes of the advisory system, including requirements for additional HPC resources Feasibility study developed. Based on the feasibility study the host(s) is(are) identified and agreement(s) signed with the host(s) for operation of LAMs 07/2018 - 04/2019 PSC & host, (TT-Mod, PO, PAG) 5 72 3.1.6, 3.5.2 3.5.7 R Develop a feasibility study and identify host(s) that could provide Feasibility study developed. Based on 08/2018 - 05/2019 PSC & host, (TT-Mod, 3 40 3.1.6, 3.5.3,
models in the computing facilities of the identified host(s): (a) nested high-resolution LAM models; including purchase of additional HPC resources if required by the host implemented, including purchase of additional HPC resources, as appropriate operational activities, (PO, PAG) 3.5.14 R Implement the suite of coupled met/hydro/marine prediction models in the computing facilities of the identified host(s): (b) regional hydrological models; including purchase of additional HPC resources if required by the host Regional hydrological models implemented TT-Mod, TT-ICT & host of the operational activities, (PO, PAG) 18 1,139 3.1.6, 3.5.7, 3.5.10 3.5.15 R Implement the suite of coupled met/hydro/marine prediction models in the computing facilities of the identified host(s): (c) regional marine/oceanographic models Regional marine/oceanographic models implemented 08/2020 TT-Mod, TT-ICT & host of the operational activities, (PO, PAG) 18 639 3.1.6, 3.5.8, 3.5.10 3.6 Information and Communication 3.6.1 R Develop a design of CIP, including technical specifications Design of CIP developed and technical specification recommended by PAG 01/2018 - 05/2019 TT-ICT in collaboration with all TTs 6 98 all 3.4.x, all 3.5.x 3.6.2 R Define the scope of advisory system’s products (data, models' output, post-processing products, etc.), including their formats and respective volumes, that shall be made available to project participants via CIP (link to CODB) The scope of products developed and agreed by PAG 09/2018 - 05/2019 TT-Mod & (TT-ICT, PAG) 3 37 0 3.2.1, 3.4.2 3.6.3 R Prepare analysis for assimilation to be used for high-resolution nested LAM models, coordinate with Analysis ready, including a roadmap for implementation 04/2018 TT-Mod, (PAG) 3 40 3.5.2
Albania Traditional station network replacement and calibration 60 Access to European meteorological infrastructure Numerical modelling EUMETNET membership ECMWF membership 50 fee, Update of the IGEWE Web Site Additional observational data like satellite, radar and lightning images shall be included. Existing data services and climate services would become more user-friendly. 70 Maintenance Currently, no are available for the major investments or the maintenance of the automatic station network. The costs for maintenance, repair works and calibration of the existing and planned network (manual and automatic, including the existing radar) are estimated between USD 300.000 now and USD 400.000 per year in future. Observation data around the country must be sufficient for forecasting and nowcasting. 280 Satellite data are required in high spatial resolution and brought to the state of the art nowcasting System (CAPEX and OPEX) 180 Telecommunication for the automatic stations 20 Infrastructure for upgrading new station to automatic and protection measures for vandalism. Additional budget is required for the further automatization and adaptation of the network. 300 Implementation of a meteorological visualisation platform Strengthen and update the capacity of the server room IGEWE 100
volumes Provision of gridded datasets of observations Project Long-term model verification Project Availability of satellite images with appropriate products Project Greece Maintenance and support for our in-situ observation network 150/year Activities proposed for depending on final design of the System Will be defined later Activities proposed for depending on final design of the System Will be defined later Implementation of twenty new AWS 50 per station New/upgrade the management and collection of observation network system 100 Consumables for three upper stations 210/year One new dual polarization weather radar 2,000 Hungary Improvement of early warning monitoring system – pilot project in Hungary: Installation of 20 ceilometers 20 visibility meters 640+360 Offer of ALADIN/AROME model runs (depending on the approval of the ALADIN GA and Council) at the Common Platform: manpower (1 FTE for 1 year) is needed for the configuration and testing of the model runs at the Common Platform 17 Selling of HAWK to the Common Platform 43 Improvement of verification of radar and satellite data required in early warning monitoring – pilot project in Hungary: installation of 20 radiation balance meters 700 Meteorological modelling support of the South-East Europe Flash Flood Guidance System (SEEFFGS) expansion over Hungary: development and implementation of an hourly updated AROME model suite at 1 km (or preferably 500 m) horizontal resolution 85 + 520 (HPC) Management of maintenance of HAWK system installed at the Common Platform (2 FTE for 5 years + yearly configuration for 5 years) 170+25
Low level wind shear system 800 Training in modelling Project Connecting of AWS to GTS 10 Training in effectively use of NWP products 30 Developing of technical capacities for data management and QC system 20 Kosovo (as defined by UNSCR 1244/99) Upgrading the current network of meteorological and hydrological stations. Coverage of the whole territory with automatic meteorological and hydrological stations: - For 9 MS - Changing old equipment with automatic instruments - 12 new automatic meteorological stations - Weather radar with all acquisitions as software and hardware (server), installation and training. - Equipment of 20 hydrological stations with "data loggers systems" for online data transmission. - 20 automated hydrological online stations for surface measurement Supply with spare parts. For all stations, necessary structures should be included. 15 150 50 100 30% from the total amount 3 computers with good performances. 3 Digitalization of the archive of meteorological and hydrological data and information 20 Server for AWS 5 Training in forecasting and modelling Server for AHS 5 Training of personnel for Maintenance of the web site 3
operation of NWP model, applications and model product visualisation and existing server Lebanon the former Yugoslav Republic of Macedonia Upgrading and enhancement of national AWS observation network and hydrological network. - 12 meteorological AWS - +30% parts - 50 automated hydrological online stations for surface water measurement - +30% spare parts 250 200 40 Establishment of integrated IT system/workstation in NMHS for proposed NWP model in context of Regional SEE MHEWS-A 10 Two servers for monitoring of meteorological and hydrological measurements and data management (data collection and dissemination) 20 Professional calibration kit for AWS for: - air temperature, and - atmospheric pressure 10 Training of personnel for operation of NWP model, applications and model product visualisation Workstations for meteorological and hydrological data visualisation Improvement of technical capacity (good performance) related to operations of NWP and hydrological assessment Moldova Montenegro Weather radar C band (Vrsuta, Adriatic See) 1600 Hydrologic implementation and training for staff 2 (two) x Servers (Rack or Tower) new Gen (7,8,9) with 2 CPU Intel Xeon E5-2667v4 (3.2GHz/ 8-core/25MB/135W) 20 WAM III implementation and training for Server for AWS 5 Automatic weather station LAMBRECHT minimum 3 (three) 36 Training for visualisation and verification tools for models’ data, Metview, ODB Server for AHS 5 Automatic mareograph with construction minimum (3 50 Support for data transfer via GSM/GPRS Workstation two 2 2
observing network by installing new moored buoys equipped with automatic weather statios (It is estimated that 6 buoys will be needed in the first phase of the project) Development and upgrade of the software for real time monitoring and management of the observing network Ukraine Purchase of modern radars (4 Development of regional numerical model with the resolution of 3-5 km & local models for big cities and high density regions of the country with the resolution of 1-3 km for forecasting main meteorological parameters, weather hazards. 4976.0 Formation of database and modern infrastructure of internal and external relations for receiving, technological processing, data storage, telecommunication processes monitoring and access to informational resources. 137.34 Purchase of automated meteorological stations (35 units) 2089.85 Development of weather forecasting in probabilistic form, creation of ensemble weather forecasts. 2239.2 Creation of automated system for users servicing and enhancement of the access to hydrometeorological data and products. 54.00 Purchase of automated hydrological posts 302.48 Getting access to the results of weather modelling of the enhanced resolution capacity. 5.4 Purchase of automated marine hydrological (18 units) 1074.78 Creation of permanent integrated system for receiving and processing contact data on expected status of weather, inland water reservoirs and sea, crops development. 54.74 Purchase of air pollution observations automated posts (16 units) 1194.24 Creation of automated working places for forecasters (meteorologist, hydrologist, 49.50