Transfer of Regional NWP Capabilities to Developing Countries Detlev Majewski, Deutscher Wetterdienst, Germany e-mail: detlev. majewski@dwd. de 13 Febuary 2008 GEO CBC Hannover
Stepwise introduction of regional NWP Defined at the WMO Workshops in Pretoria (2002) and Casablanca (2005): 1. Acquiring and using existing NWP grid point products; 2. Acquiring and running a local NWP model without data analysis, but with verification; 3. Running a local model, without data analysis, fine tuning the system for the local region; with statistical adaptation; 4. Running a local model with local analysis of data. 13 Febuary 2008 GEO CBC Hannover
Main components of a regional forecasting system and corresponding data flow Observations atmosph. / surface Topographical data Verification Model diagnosis Lateral boundary conditions Data assimilation Regional NWP model DMO MOS Statistics Graphical applications Environmental predictions Other application models Agro-meteorological models Meteorologists (public and private) Customers (public and private) 13 Febuary 2008 Sea wave prediction GEO CBC Hannover
Key issues for NWP capacity building Defined at the WMO Workshops in Pretoria (2002) and Casablanca (2005) 1. Hardware (computer, internet access) 2. Software (operating system, compilers, regional NWP model, graphics) 3. Data (initial and lateral boundary data files; local observations) 4. Manpower (computer skills (Unix, Fortran, Web), meteorologist) 5. Training of NWP staff and forecasters 6. Modernization of complete forecasting process 7. Sustainability (involve universities, form regional co-operations) 13 Febuary 2008 GEO CBC Hannover
GME data as lateral boundary data of HRM The global model GME covers the Earth with an icosahedral-hexagonal grid; grid spacing: 40 km and 40 layers. 368642 grid points / layer Grid cell area of GME: 1384 km 2 To cover a given HRM domain, only a small part of GME grid points is needed. HRM If the HRM domain is 3000 x 3000 km 2, the number of GME grid points is given by 3000 x 3000 / 1384 = 6500 only! Only these GME grid points are being transferred to the National Weather Service via the internet for running HRM. 13 Febuary 2008 GEO CBC Hannover
HRM at KMD, Kenya Grid spacing: 0. 25° ~ 28 km 26°E - 50°E 12°S - 12°N 97 x 97 grid points, 40 layers Linux PC server 1 processor Intel P 4 1 GB RAM 2 scientists from 2001 until 2005. 3 scientists since 2006. http: //www. meteo. go. ke/nwp/ 13 Febuary 2008 GEO CBC Hannover
Lessons learned, next steps • Introduce NWP stepwise, taking the local knowledge into account. • Build up a team of dedicated scientists, encourage networking with the HRM community worldwide, e. g. via http: //groups. google. de/group/hrm_help. • Aim for early “showpieces” to convince local users. • Try to streamline the total forecasting process, not only the NWP part; involve the local forecasters quite early, e. g. in the definition of forecast products and graphics. • Start objective verification of the NWP model against local observations as soon as possible. • Try to involve local universities by offering the NWP model, data for case studies and computer resources. • Overall goal: Achieve a sustainable improvement of the forecasting process at the service. • Regional NWP Training in Botswana: 3 – 9 April 08 • Next Regional NWP Training Workshop at DWD: 14 - 25 July 08 13 Febuary 2008 GEO CBC Hannover
Building blocks for regional NWP • Topographical data of region at ~ 1 km x 1 km resolution • Regional NWP model (e. g. ALADIN, HRM, MM 5/WRF/ETA, RAMS) • Initial and lateral boundary data from global NWP model (e. g. GFS, GME, JMA, ECMWF) • Reliable and reasonable fast data connection between global centre and national weather service running the regional model • Computer system (Linux PC cluster) to run regional model • Graphical display of forecasts (e. g. Gr. ADS, DIANA: Open Source Visualization of the Norwegian Met. Service); Web pages • Verification package (e. g. ORMVERIF) • Regional NWP training by advanced centres (e. g. Météo France, DWD, KMA, NCEP, UKMO, SAWS, ACMAD, WMO) • Training of computer skills (Linux, Fortran, html) • Training of local forecasters in model interpretation 13 Febuary 2008 GEO CBC Hannover
Questions? HRM Any questions? is used at: Bosnia, Botswana, Brazil (INMET, DHN), Bulgaria, China (Guangdong), India (SPL), Israel, Italy, Jordan, Kenya, Libya, Malawi, Mozambique, Nigeria, Oman, Pakistan, Philippines, Romania, Senegal, Spain, Tanzania, United Arab Emirates and Vietnam. 13 Febuary 2008 Graphics GEO CBC Hannover by B. Ritter (DWD) http: //www. met. gov. om/hrm/
Скачать презентацию Transfer of Regional NWP Capabilities to Developing Countries
6fc2425d6429824c9cf5f6f503a023fa.ppt