Swati Basu - National Centre for Medium Range Weather Forecasting
Transcription
Swati Basu - National Centre for Medium Range Weather Forecasting
25 years of NCMRWF…… Swati Basu ESSO-NCMRWF 17th February 2014 Background NCMRWF was created on recommendations of Yashpal committee formed by Government of India on the lines of ECMWF for dynamical weather forecasts 3-10 days in advance using Atmospheric General Circulation Model (AGCM). Recommendations • Development of operational global and regional numerical models for weather forecasting (with emphasis on medium-range) taking advantage of the work already done in India and abroad. • Acquisition of a supercomputer and other infrastructure necessary for the purpose. • Preparation of medium-range weather forecasts (4 to 10 days in advance) for 127 agroclimatic zones on operational basis. • Promotion and coordination of research & development in medium range weather forecasting in the country. Initial Focus • Acquisition of the supercomputer and experimentation with a suitable global AGCM • This needed training of scientists, as India was entering a new field of utilizing global AGCM. NCMRWF Accomplishments • In 1989, the Centre implemented the ECMWF global atmospheric model (Cycle-30) . Several test runs were carried out and different components of a weather forecasting system were linked up at T79L19 resolution by the scientists of the Centre. • Support by the international community to help establish an operational mediumrange forecast system, Prof. Shukla along with scientists from COLA, USA implemented the COLA R40 model at the Centre. Scientists from NCMRWF and COLA jointly implemented all components of NWP system which included an optimuminterpolation (OI) based analysis scheme, diagnostic and graphics packages. • During 1992-93, the Centre, with the scientists of NMC (National Meteorological Centre (now NCEP) USA, implemented global data assimilation forecast system at T80L18 resolution in Cray-XMP/14 • Scientists of NCMRWF became completely familiar with the flow as well as the code of the modelling system, which resulted into the convenient porting of the end-toend modelling system on the low-cost distributed memory systems at a later time. NCMRWF Accomplishments • After experimenting, NCMRWF became operational in 1994 and started providing forecasts up to 3 days to India Meteorological Department. • In the first decade of its existence, the centre could demonstrate capabilities of using data from all observation systems, data processing and data assimilation for initial conditions for AGCM. Till another decade, NCMRWF was the only centre possessing the unique capability of running an end-to-end dynamical numerical weather prediction (NWP) with real time assimilation of terrestrial, ocean, satellite and aircraft observations. The Global model was upgraded from T80L18 at horizontal resolution of 150Km in 1994 to the T254L64 at resolution of 50 km in 2007 with capability to assimilate satellite radiances. The GFS was further upgraded to the T382L64 at 35 km and T574L64 at resolution of 22 km in 2010 and 2011 respectively. • • • In November 2011, NCMRWF handed over the tested T574L64 model to IMD for operational use. NCMRWF has subsequently started producing probabilistic forecasts Regional/Mesoscale Modeling • Apart from global NWP models, NCMRWF took the lead in implementing regional and mesoscale models with data assimilation for short range forecasts in 1995. • Subsequently dynamical mesoscale modeling has spread all over India. Several universities and organizations use them for various applications. NCMRWF is now working towards a seamless prediction system both in spatial and Temporal range with global 16 km resolution and regional nested 4 km and 1.5 km resolution Growth of Computing Power at NCMRWF Year First super computer of India CRAY XMP-14/216 (1988-1998) Peak Performence 1988-91 234MF 1992-99 468MF 2000-02 1GF 2003-05 28.8GF 2005-06 500GF 2006-10 1000GF 2011-12 24TF 2014….. 350TF Upgradation of Data Assimilation - Forecast System Horizontal Resolution (km) 200 150 Forecast Performance Coarse Resolution GFS (Model) + SSI-3DVAR(DA) Fine Resolution 100 over the years (RMSE of Day-3 FCST 850 hPa wind) lower the RMSE better the forecast April 2013 GFS + SSI-3DVAR 50 GFS + GFS + GSI-3DVAR GFS + UM & + GSI-3DVAR GSI-3DVAR GFS + 4DVAR GSI-3DVAR 0 1994-2007 2007 2009 Year 2010 2011 2013 Applications of NCMRWF NWP Products • Statistical Interpretation (SI) models were developed based on Perfect Prognostic Method (PPM) to generate location specific forecasts. • AMFUs were established in collaboration with the State Agricultural Universities (SAUs) and other institutions of ICAR in well planned phased manner. Till 2007, Agro Advisory Service (AAS) were extended to 106 units . Having demonstrated the success of the scheme, the entire AAS was transferred to IMD in 2007 for its further extension. Capacity building and customized forecasts NCMRWF has rendered technical/capacity development support to • IMD in setting up their operational T382 and T574 global forecast systems • IAF, SASE, Indian Navy in setting up their operational meso-scale forecast systems • INCOIS for WAVEWATCH-III model implementation • Neighbouring countries (Sri Lanka, Kenya, Qatar etc.) through training programmes in weather and climate modeling, use and interpretation of forecast products • SAUs for crop-weather modelling • Providing products to Defence, Disaster Management • ISRO for support for satellite launches • BARC, DAE for Support for Offsite Nuclear Emergency, • Provide surface winds and fluxes over the ocean surface to INCOIS and Indian Navy to run their wave and wind-driven ocean circulation models. • Provided forecasts to Indian Army for mountaineering expeditions • Provided support to CDAC for integrating weather applications on indigenously developed HPC (Param etc.) Present Status NCMRWF as part of ESSO-MoES NCMRWF became part of ESSO MoES in 2006 (along with IMD and IITM) Reorganization • Integration of various units of MoES including ocean units • Synergy with specific and joint roles of each unit This was accomplished through integrated programs of ESSO-MoES Integrated Programs/Activities of NCMRWF with other ESSO Units Monsoon Mission (IMD, IITM,INCOIS) (Along with other International and National partners and International and Indian universities) Severe Weather Prediction (IMD) Integrated Water Cycle (IMD. IITM) (Along with other Indian organization and universities and International partners) Multi Model Ensemble Prediction (IMD,IITM) (Used for district level forecasts) Rainfall Analysis (IMD) (Generating observed rainfall data with appropriate merging of satellite and Indian raingauges ) NCMRWF also provided real time forecasts to NCAOR for their First south Pole Expedition Present Status Mission To continuously develop next generation of numerical weather forecasts, in terms of reliability and accuracy over India and neighboring regions through research, development and demonstration of new and novel applications, maintaining highest level of knowledge, skills and technical bases. • Objectives Development and improvement of state of the art Numerical Weather Forecast Systems • Improvement of Assimilation Techniques and optimal utilization of various platform based Observations • Development of customized products Numerical Weather Prediction System of NCMRWF Data Global Observations Reception SURFACE from land stations GTS ~1200mb/dy RTH, IMD SHIP BUOY 24x7 Upper Air RSRW/ PIBAL Aircraft Satellite NKN ISRO (MT) NKN NCMRWF OBSERVATION PROCESSING NKN High Resolution Satellite Obsn NKN Internet (FTP) ~ 18 Gb/day NESDIS proposed dedicated link (Mauritius) EUMETSAT Global Data Assimilation Observation quality checks & monitoring Forecast Models Global Model T574L64 , UM-N512L70 10 day FCST Users IMD INCOIS IITM SASE BARC RIMES Global Analysis (GSI , UM-4DVAR) Global Ensembles Initial state (T190L28) 20-members 10-day FCST Global Forecast Model 4 times a day for 00,06,12,18 UTC once in a day for 00 UTC Other sectors Enhancement of data Reception at NCMRWF Manifold increase in observation GTS (~50%) Internet Data Service(~180%) during 2013-14 vis a vis 2012-13 resulting in total volume of data around 20GB/day. Major satellite data sets in a single assimilation cycle NESDIS EUMETCAST GTS NRSC NESDIS Emphasis on improving timelines of getting regional data Special efforts are being mad to improve availability and timeliness of time critical polar orbiting satellite data over our region efforts by becoming member in Asia-Pacific RARS group. Asia –Pacific RARS Data from 3 IMD HRPT stations data are being operationally used now. IMD Chennai HRPT station data is critical To RARS group as it covers data gap area Indian Buoys deployed and Maintained by ESSO-NIOT feed back on observation quality India Met. Department IC & FCST Central/ State GOVT Public ISRO INCOIS value added product Media feed back on satellite observation quality. First Guess (Local & Global) NCMRWF Numerical Modelling of Weather & Climate IC observations IC & FCST ESSO satellite obsn. Linkage of NCMRWF with Various Organizations Sectoral Users (Agriculture , Aviation ….) IITM Capacity Building on NWP Ocean and Fishery services New Applications THE RECENT HIGH PERFORMANCE COMPUTING SYSTEM: 3114 IBM System iDataPlex dx360 M4 nodes each configured with 16 cores of Intel Sandybridge processors clocking at 2.6 GHz, with 64 GB DDR3 1600MHz RAM per Compute node This system is capable of delivering 350 TF of peak compute power. All HPC facilities for entire ESSO are to be maintained at NCMRWF and IITM with high speed connectivity to other units. NATIONAL KNOWLEDGE NETWORK • • • • • • • • Technical Overview ► The backbone of the network starts from 2.5 Gbps and progressively moves onto 10 Gbps connectivity between 7 Supercore (fully meshed) locations across India. Key Highlights ► The architecture of NKN has been designed for reliability,availability & scalability ► The network consists of an ultra-high speed core, starting with multiple 2.5/10 G and progressively moving towards 40/100 Gbps ► The core is complimented with a distribution layer covering all districts at appropriate speeds ► The participating institutions at the edge like NCMRWF seamlessly connect to NKN at Gigabit per second speed ► NKN provides international connectivity to its users for global collaborative research. Presently, NKN is connected to: – Trans Eurasia Information Network (TEIN3) – Similar connectivity to few other research networks is in the pipeline National Knowledge Network (NKN) Connectivity US , NESDIS NESDIS EUROPE UKMO EUMETSA T SASE ISTRAC ISSDC CAWCR AUSTRALIA CMLRI National Long Distance ESSO MOES SAC IMD NCMRWF NIOT IITM INCOIS NCAOR ICMAM NLD 1 NLD 2 NLD 3 International & National Collaboration • International Partners • • • • • • UK (UKMO,NERC, University of reading, University of Exeter, Imperial College) USA(NOAA/NCEP,UCAR/NCAR,FSU etc.) AUSTRALIA (CAWCR),Korea (KMA),RIMES GERMANY, FRANCE…..in pipe line BIMSTEC AFRICA • National MoES partners through ESSO IISc,IITs, SASE,BARC, IAF, Indian Navy, CDAC,TERI, Universities (BHU, Allahabad University, Andhra University ,Cochin University etc.) Human Resources Current Strength Scientists 61 (Total) ~ 90% phD No. of Scientists engaged in 56 (5 infrastructure support) modeling and assimilation Administrative staff 11 Total Staff 72 Expected strength of 100 by 2017 Ensemble Based Tropical Cyclone Track Forecasts (a) (b) (c) (a) Strike probability (b) Ensemble member tracks (c) Forecast Track Error (km) NGEFS: EPgram Rainfall (mm) for New Delhi Observed Rain (mm) Delhi 4-15 Feb 2014 25 20 15 10 5 0 4 5 6 7 8 9 14-15 February 2014 Day 5 10 11 12 13 14 15 Day 10 Day 9 Day 3 Day 2 Day 7 Day 1 Forecast Generation for Neighbouring Regions RIMES • The Regional Integrated Multi-Hazard Early Warning System for Africa and Asia (RIMES) is an international and intergovernmental institution, owned and managed by its 12 Member States, for the generation and application of early warning information. • Bangladesh, Cambodia, Comoros, India, Lao PDR, Maldives, Mongolia, Papua New Guinea, Philippines, Seychelles, Sri Lanka and TimorLeste. The 19 Collaborating Countries are: Afghanistan, Armenia, Bhutan, China, Indonesia, Kenya, Madagascar, Mauritius, Mozambique, Myanmar, Nepal, Pakistan, Russian Federation, Somalia, Tanzania, Thailand, Uzbekistan, Vietnam, and Yemen. • Customised forecasts for each country is generated at NCMRWF daily and provided through RIMES website/e-mail Forecast Generation for Neighbouring Regions BIMSTEC Countries The cabinet has approved for signing the Memorandum of Association (MoA) on 4th March 2014 among the BIMSTEC member countries. Bangladesh, Bhutan, India, Myanmar, Nepal, Srilanka, Thailand for the establishment of BIMSTEC Centre for Weather and Climate (BCWC) NCMRWF will double as BCWC. Aimed towards Capacity Building Customized Forecast generation Augmentation of observing systems Forecast Generation for Neighbouring Regions Total Upper Air Stations • • An India-Africa Centre for Medium Range Weather Forecasting (IACMRF) is to be set up at Mauritius to fulfil India’s commitments made at the second Africa-India Forum Summit in the area of capacity building in Africa. ESSO-NCMRWF has been entrusted with the responsibility of establishing such centre for the 52 African Union countries. Meteograms for 52 capital cities of African Union countries are being generated regularly and posted in NCMRWF’s web site. The analysis of global model prediction skill for different meteorological parameters over African region is in progress. • Augmentation of observing systems over the African union countries are planned Upper Air Observations Surface Observations Future Directions • Skillful analysis forecast system a) Optimization of observations and their assimilation c) Radar data assimilation in high resolution nested model b) Special emphasis on Indian observation (especially from Satellites) c) Ensemble data assimilation d) Land Surface assimilation • Probabilistic forecasts (44 members 33 Km resolution) • Moving towards seamless prediction Capability at various temporal spatial scales a) Unified model with 16 Km global model resolution with nested 4 & 1.5 km b) Coupled model with ocean data assimilation, SARAL/Altika.. • Development of new applications Fog, snow, supporting wind energy applications….. • Fulfilling commitments towards BIMSTEC centre for weather and Climate • Continued support to RIMES • Fulfilling commitments towards Indo Africa Centre for medium range weather Forecasting