Implementation of Global Ensemble Forecast System (GEFS) at 12Km Resolution
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Emulation of a Full Suite of Atmospheric Physics
Emulation of a Full Suite of Atmospheric Physics Parameterizations in NCEP GFS using a Neural Network Alexei Belochitski1;2 and Vladimir Krasnopolsky2 1IMSG, 2NOAA/NWS/NCEP/EMC email: [email protected] 1 Introduction is captured by periodic functions of day and month, and variability of solar energy output is reflected in the solar constant. In addition to the full atmospheric state, NN receives full land-surface model (LSM) state to Machine learning (ML) can be used in parameterization development at least in two different ways: 1) as an capture impact of surface boundary conditions. All NN outputs are increments of dynamical core's prognostic emulation technique for accelerating calculation of parameterizations developed previously, and 2) for devel- variables that the original atmospheric physics package modifies. opment of new \empirical" parameterizations based on reanalysis/observed data or data simulated by high resolution models. An example of the former is the paper by Krasnopolsky et al. (2012) who have developed highly efficient neural network (NN) emulations of both long{ and short-wave radiation parameterizations for 4 Hybrid Coupling of Full Atmospheric Physics NN to GFS a high resolution state-of-the-art short{ to medium-range weather forecasting model. More recently, Gentine Full atmospheric physics NN only et al. (2018) have used a neural network to emulate 2D cloud resolving models (CRMs) embedded into columns updates the state of the atmo- of a \super-parameterized" general circulation model (GCM) in an aqua-planet configuration with prescribed sphere and does not update the invariant zonally symmetric SST, full diurnal cycle, and no annual cycle. -
INTEGRATED FORECAST and MANAGEMENT in NORTHERN CALIFORNIA – INFORM a Demonstration Project
CPASW March 23, 2006 INTEGRATED FORECAST AND MANAGEMENT IN NORTHERN CALIFORNIA – INFORM A Demonstration Project Present: Eylon Shamir HYDROLOGIC RESEARCH CENTER GEORGIA WATER RESOURCES INSTITUTE Eylon Shamir: [email protected] www.hrc-web.org INFORM: Integrated Forecast and Management in Northern California Hydrologic Research Center & Georgia Water Resources Institute Sponsors: CALFED Bay Delta Authority California Energy Commission National Oceanic and Atmospheric Administration Collaborators: California Department of Water Resources California-Nevada River Forecast Center Sacramento Area Flood Control Agency U.S. Army Corps of Engineers U.S. Bureau of Reclamation Eylon Shamir: [email protected] www.hrc-web.org Vision Statement Increase efficiency of water use in Northern California using climate, hydrologic and decision science Eylon Shamir: [email protected] www.hrc-web.org Goal and Objectives Demonstrate the utility of climate and hydrologic forecasts for water resources management in Northern California Implement integrated forecast-management systems for the Northern California reservoirs using real-time data Perform tests with actual data and with management input Eylon Shamir: [email protected] www.hrc-web.org Major Resevoirs in Nothern California Application Area 41.5 Sacramen to River Capacity of Major Reservoirs 41 (million acre-feet): Pit River Trinit y Trinity - 2.4 Trinity Shasta 40.5 Trinity River Shasta Shasta - 4.5 Oroville - 3.5 Feather River 40 Folsom - 1 39.5 Degrees North Latitude Oroville Oroville N. -
5Th International Conference on Reanalysis (ICR5)
5th International Conference on Reanalysis (ICR5) 13–17 November 2017, Rome IMPLEMENTED BY Contents ECMWF | 5th International Conference on Reanalysis (ICR5) 2017 2 Introduction It is our pleasure to welcome the Climate research has benefited over the • Status and plans for future reanalyses • Evaluation of reanalyses reanalysis community at the 5th years from the continuing development Global and regional production, inclusive Comparisons with observations, International Conference on Reanalysis of reanalysis. As reanalysis datasets of all WCRP thematic areas: atmosphere, other types of analysis and models, (ICR5). We are delighted that we are become more diverse (atmosphere, land, ocean and cryosphere – Session inter-comparisons, diagnostics – all able to come together in Rome. ocean and land components), more organisers: Mike Bosilovich (NASA Session organisers: Franco Desiato This five-day international conference complete (moving towards Earth-system GMAO), Shinya Kobayashi (JMA), (ISPRA), Masatomo Fujiwara (Hokkaido is the worldwide leading event for the coupled reanalysis), more detailed, and Simona Masina (CMCC) University), Sonia Seneviratne (ETH), continuing development of reanalysis of longer timespan, community efforts Adrian Simmons (ECMWF) • Observations for reanalyses for climate research, which provides a to evaluate and intercompare them Preparation, organisation in large • Applications of reanalyses comprehensive numerical description become more important. archives, data rescue, reanalysis Generating time-series of Essential -
Evaluation of Cloud Properties in the NOAA/NCEP Global Forecast System Using Multiple Satellite Products
Clim Dyn DOI 10.1007/s00382-012-1430-0 Evaluation of cloud properties in the NOAA/NCEP global forecast system using multiple satellite products Hyelim Yoo • Zhanqing Li Received: 15 July 2011 / Accepted: 19 June 2012 Ó Springer-Verlag 2012 Abstract Knowledge of cloud properties and their vertical are similar to those from the model, latitudinal variations structure is important for meteorological studies due to their show discrepancies in terms of structure and pattern. The impact on both the Earth’s radiation budget and adiabatic modeled cloud optical depth over storm track region and heating within the atmosphere. The objective of this study is to subtropical region is less than that from the passive sensor and evaluate bulk cloud properties and vertical distribution sim- is overestimated for deep convective clouds. The distributions ulated by the US National Oceanic and Atmospheric of ice water path (IWP) agree better with satellite observations Administration National Centers for Environmental than do liquid water path (LWP) distributions. Discrepancies Prediction Global Forecast System (GFS) using three global in LWP/IWP distributions between observations and the satellite products. Cloud variables evaluated include the model are attributed to differences in cloud water mixing ratio occurrence and fraction of clouds in up to three layers, cloud and mean relative humidity fields, which are major control optical depth, liquid water path, and ice water path. Cloud variables determining the formation of clouds. vertical structure data are retrieved from both active (Cloud- Sat/CALIPSO) and passive sensors and are subsequently Keywords Cloud fraction Á NCEP global forecast system Á compared with GFS model results. -
Cabinet Decisions Competition Commission of India
ETEN Enlightens-Daily current capsules (Prelims Prominence) – 05thApril2018 Cabinet Decisions Competition Commission of India Cabinet approves rightsizing of CCI The Union Cabinet has given its approval for rightsizing the Competition Commission of India (CCI) from One Chairperson and Six Members (totalling seven) to One Chairperson and Three Members (totalling four) The proposal is expected to result in reduction of three Posts of Members of the Commission in pursuance of the Governments objective of "Minimum Government - Maximum Governance". As part of the Governments objective of easing the mergers and amalgamation process in the country, the Ministry had revised de minimis levels in 2017 Enlighten about CCI CCI goal is to create and sustain fair competition in the economy that will provide a ‘level playing field’ to the producers and make the markets work for the welfare of the consumers. The Competition Act, 2002, as amended by the Competition (Amendment) Act, 2007, follows the philosophy of modern competition laws. The Act prohibits anti-competitive agreements, abuse of dominant position by enterprises and regulates combinations (acquisition, acquiring of control and M&A), which causes or likely to cause an appreciable adverse effect on competition within India. Objective of Competition Commission of India(CCI) Remove negative competitive practices Promote sustainable market competition Protect the rights of the consumer Protect the freedom of trade in Indian markets Protect the rights of small traders from the large traders to ensure their survival Advice and give suggestions to Competition Appellate Tribunal Run informative campaigns and create public awareness about fair competitive practices. Culture Six monuments / historical sites in North Eastern States identified for listing under World Heritage Site As many as 6 monuments/historical sites in the North Eastern states have been identified tentatively for listing under World Heritage Site. -
HIRLAM-B Review September 2016
External review of the HIRLAM-B programme 2011 – 2015 Peter Lynch Dominique Marbouty Tiziana Paccagnella September 2015 External review of the HIRLAM-B programme, September 2015 Page 2 Table of contents List of recommendations page 4 Summary page 5 Part one Introduction page 7 Background to the review Composition of the Review Team and its organisation Part two The HIRLAM programme page 10 Structure and governance of the programme Staffing resources Achievements of the HIRLAM-B programme Recommendations of the previous review, follow-up Part three Model performance, forecasters’ feedback page 17 Part four Towards an expanded programme page 22 Scope of the single Consortium, core and optional activities Organisation and governance Staffing resources and code-development Data policy and code ownership Branding of the new collaboration and system Part five Conclusion page33 Annexes page 35 Annex 1 – Scope and Term of Reference for HIRLAM-B External Review Annex 2 – Joint HIRLAM-ALADIN Declaration Annex 3 – List of acronyms External review of the HIRLAM-B programme, September 2015 Page 3 Summary The Review Team appointed by the HIRLAM Council examined the governance, resources and achievement of the HIRLAM-B programme. It reviewed the implementation of the recommendations made by the previous review team in 2010 at the end of HIRLAM-A. The HIRLAM cooperation has a long history and is now well organised. As a result the Review Team made few comments concerning HIRLAM in isolation from the wider collaboration with ALADIN. The review team also met forecasters in most of HIRLAM centers. Benefits of using regional high resolution model for short range forecasts, as compared to ECMWF global forecasts, is no longer questioned. -
9Pm Compilation
9pm Compilation 1st to 11th October, 2020 9 PM Compilation for the Month of October (First week), 2020 General Studies - 1 1. A case for older women 2. The legacy of Gandhi 3. The Prime Minister India almost forgot 4. Women in science 5. Women representation and impact - Kenya case study General Studies - 2 1. Changing Health Behaviour 2. QUAD Grouping- India, Japan, US and Australia 3. Need of a Maritime strategy 4. India- China 5. Amnesty halting India operations 6. NCPCR analysis 7. The future of GST hangs in the balance 8. India and QUAD 9. Re-imagining education in 100 years 10. Disintegration of the criminal justice system 11. Garib Kalyan Rozgar Abhiyan (GKRA) 12. Misinformation storm 13. Assisted Reproductive Technology (Regulation) Bill, 2020 14. Violence and justice for women 15. CAG audit- Improvement in disaster management 16. Impacted Mental Health during Pandemic 17. Supreme court verdict on shaheen Bagh protest 18. World Food program 19. TRP (Television Rating Point) scandal General Studies - 3 1. The end of ‘Inspector Raj’- Labour and Farm Bill 2. C&AG’s report on GST compensation cess 3. Labour bills 4. Biodiversity and Pandemic 5. India’s inflation targeting policy 6. Insolvency and Bankruptcy Code (IBC 2016) 7. India’s inflation targeting policy 8. Power sector in India 9. The non-violent economic model 10. Farms Bills 11. Rainbow new deal - Integrating ecological protection and tackling inequality 12. Labour codes reforms 13. Issues of Indian Sugar Industry 14. Production Linked Incentive Scheme 15. Platform Workers 16. Artificial Intelligence -‘AI for All’ 17. -
National Supercomputing Mission
02 April, 2020 National Supercomputing Mission Part of: GS Prelims and GS-III- S&T India has produced just three supercomputers since 2015 under the National Supercomputing Mission (NSM). National Supercomputing Mission The National Supercomputing Mission was announced in 2015, with an aim to connect national academic and R&D institutions with a grid of more than 70 high-performance computing facilities at an estimated cost of ?4,500 crores over the period of seven years. It supports the government's vision of 'Digital India' and 'Make in India' initiatives. The mission is being implemented by the Department of Science and Technology (Ministry of Science and Technology) and Ministry of Electronics and Information Technology (MeitY), through the Centre for Development of Advanced Computing (C-DAC), Pune and Indian Institute of Science (IISc), Bengaluru. It is also an effort to improve the number of supercomputers owned by India. These supercomputers will also be networked on the National Supercomputing grid over the National Knowledge Network (NKN). The NKN connects academic institutions and R&D labs over a high-speed network. Under NSM, the long-term plan is to build a strong base of 20,000 skilled persons over the next five years who will be equipped to handle the complexities of supercomputers. Key Points Progress of NSM: NSM’s first supercomputer named Param Shivay has been installed in IIT-BHU, Varanasi, in 2019. It has 837 TeraFlop High-Performance Computing (HPC) capacity. The second supercomputer with a capacity of 1.66 PetaFlop has been installed at IIT-Kharagpur. The third system, Param Brahma, has been installed at IISER-Pune, which has a capacity of 797 TeraFlop. -
Edited Form for Upload 2
Name Title and Affiliation 1 Jinee Lokaneeta Professor, Drew University 2 Bhavani Raman Associate Professor, University of Toronto 3 Gopal Guru Former Professor, JNU, Editor, EPW 4 Arjun Appadurai Professor, New York University and Hertie School (Berlin) 5 Veena Das Professor, Johns Hopkins University 6 David Harvey Distinguished Professor, The Graduate Center of the City University of New York 7 G N Devy Chairman, People’s Linguistic Survey of India 8 Faisal Devji Professor of Indian History, University of Oxford 9 Chandra Talpade Mohanty Distinguished Professor, Syracuse University 10 Joan Scott Professor Emerita School of Social Science Institute for Advanced Study, Princeton 11 Natalie Zemon Davis Professor of History Emeritus, Princeton University 12 Rajeswari Sunder Rajan Professor, New York University 13 Chayanika Shah Member, LABIA - A Queer Feminist LBT Collective Mumbai 14 Geeta Seshu Joint Founder-Editor, Free Speech Collective 15 Nandita Haksar Advocate and Writer 16 Romila Thapar Professor Emerita, Jawaharlal Nehru University 17 Akeel Bilgrami Professor of Philosophy, Columbia University 18 Alladi Sitaram Professor (Retd.), Indian Statistical Institute 19 Soni Sori Activist, Bastar 20 Nirjhari Sinha Chairperson Jan Sangharsh Manch, Ahmedabad 21 Rajesh Mahapatra Journalist 22 Shabnam Hashmi Founding Trustee, Anhad 23 Ali Kazimi Filmmaker and Associate Professor, York University, Canada 24 V. Geetha Independent Scholar 25 Sugata Bose Gardiner Professor of Oceanic History and Affairs, Harvard University 26 Prof. C. Lakshmanan Dalit Intellectual Collective 27 Saheli- Women's Resource Centre Autonomous Women's Group 28 Anand Patwardhan Filmmaker 29 Rinaldo Walcott Professor, University of Toronto 30 Utsa Patnaik Professor Emeritus, JNU 31 Dolly Kikon Faculty. The University of Melbourne 32 Anjali Monteiro Professor, Tata Institute of Social Sciences 33 Tarun Bhartiya Raiot Collective 34 Partha Chatterjee Professor of Anthropology, Columbia University 35 Jodi Dean Professor, Hobart-William Smith 36 Prabhat Patnaik Professor Emeritus, JNU. -
Feb & Mar 2020 {S&T – Biotech – 20/03} Stem
General Science & Sci and Tech Current Affairs by Pmfias.com – Feb & Mar 2020 Contents {S&T – Biotech – 20/03} Stem Cell or Cord Blood Banking ........................................................................................... 1 {S&T – Indigenization – 20/03} National Supercomputing Mission (NSM) ................................................................. 3 {S&T – ISRO – 20/02} Aditya-L1 ................................................................................................................................................................................. 4 {S&T – ISRO – 20/03} GISAT-1 or Geo Imaging Satellite-1 ............................................................................................................................. 5 {S&T – ISRO – 20/03} Oceansat ........................................................................................................................................ 6 {S&T – Persons of Interest – 20/02} Dr. Vikram Sarabhai ................................................................................................................................ 7 {S&T – Technologies – 20/02} Quantum computing gets funds .................................................................................................................. 8 {S&T – Technologies – 20/02} Reverse osmosis (RO) ..................................................................................................... 8 {S&T – Technologies – 20/03} Cyber Physical Systems (CPS) ..................................................................................... -
NAEFS Status and Future Plan
NAEFS Status and Future Plan Yuejian Zhu Ensemble team leader Environmental Modeling Center NCEP/NWS/NOAA Presentation for International S2S conference February 14 2014 Warnings Warnings Coordination Coordination Assessments Forecasts Guidance Forecasts Guidance Watches Watches Outlook Outlook Threats & & Alert Alert Products Forecast Lead Time Minutes Minutes Life & Property NOAA Hours Hours Aviation Days Days Spanning 1 Maritime 1 Week Week Seamless 2 Space Operations 2 Week Week Fire Weather Fire Weather Months Months Emergency Mgmt Climate/Weather/Water Commerce Suite Benefits Seasons Seasons Energy Planning Hydropower of Reservoir Control Forecast O G O O H C U D R C R D Y L T P S Agriculture I Years Years Recreation Weather Prediction Climate Prediction Ecosystem Products Health Products Uncertainty ForecastForecast Uncertainty Forecast Uncertainty Environment Warnings Warnings Coordination Coordination Assessments Forecasts Guidance Forecasts Guidance Watches Watches Outlook Outlook Threats & & Alert Alert Forecast Lead Time Products Service CenterPerspective Minutes Minutes Life & Property NOAA Hours Hours Aviation Days Days 1 1 Maritime Spanning Week Week Seamless SPC 2 Space Operations 2 Week Week Fire Weather HPC Fire Weather Months Months Emergency Mgmt AWC Climate/Weather Climate OPC Commerce Suite Linkage Benefits Seasons Seasons SWPC Energy Planning CPC TPC Hydropower of and Reservoir Control Forecast Reservoir Control Fire WeatherOutlooks toDay8 Week 2HazardsAssessment Winter WeatherDeskDays1-3 Seasonal Predictions NDFD, -
CFS Reanalysis Design
Design of the 30-year NCEP CFSRR T382L64 Global Reanalysis and T126L64 Seasonal Reforecast Project (1979-2009) Suru Saha and Hua-Lu Pan, EMC/NCEP With Input from Stephen Lord, Mark Iredell, Shrinivas Moorthi, David Behringer, Ken Mitchell, Bob Kistler, Jack Woollen, Huug van den Dool, Catherine Thiaw and others Operational Daily CFS • 2 9-month coupled forecasts at 0000GMT • (1) GR2 (d-3) atmospheric initial condition • (2) Avg [GR2(d-3),GR2(d-4)] • T62L28S2 – MOM3 • GODAS (d-7) oceanic initial condition 2004 CFS Reforecasts The CFS includes a comprehensive set of retrospective runs that are used to calibrate and evaluate the skill of its forecasts. Each run is a full 9-month integration. The retrospective period covers all 12 calendar months in the 24 years from 1981 to 2004. Runs are initiated from 15 initial conditions that span each month, amounting to a total of 4320 runs. Since each run is a 9-month integration, the CFS was run for an equivalent of 3240 yr! An upgrade to the coupled atmosphere-ocean-seaice-land NCEP Climate Forecast System (CFS) is being planned for Jan 2010. Involves improvements to all data assimilation components of the CFS: • the atmosphere with the new NCEP Gridded Statistical Interpolation Scheme (GSI) and major improvements to the physics and dynamics of operational NCEP Global Forecast System (GFS) • the ocean and ice with the NCEP Global Ocean Data Assimilation System, (GODAS) and a new GFDL MOM4 Ocean Model • the land with the NCEP Global Land Data Assimilation System, (GLDAS) and a new NCEP Noah Land model For a new Climate Forecast System (CFS) implementation Two essential components: A new Reanalysis of the atmosphere, ocean, sea-ice and land over the 31-year period (1979-2009) is required to provide consistent initial conditions for: A complete Reforecast of the new CFS over the 28-year period (1982-2009), in order to provide stable calibration and skill estimates of the new system, for operational seasonal prediction at NCEP There are 4 differences with the earlier two NCEP Global Reanalysis efforts: 1.