A National Strategy for Advancing Climate Modeling
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Western Europe Is Warming Much Faster Than Expected
Clim. Past, 5, 1–12, 2009 www.clim-past.net/5/1/2009/ Climate © Author(s) 2009. This work is distributed under of the Past the Creative Commons Attribution 3.0 License. Western Europe is warming much faster than expected G. J. van Oldenborgh1, S. Drijfhout1, A. van Ulden1, R. Haarsma1, A. Sterl1, C. Severijns1, W. Hazeleger1, and H. Dijkstra2 1KNMI (Koninklijk Nederlands Meteorologisch Instituut), De Bilt, The Netherlands 2Institute for Marine and Atmospheric Research, Utrecht University, The Netherlands Received: 28 July 2008 – Published in Clim. Past Discuss.: 29 July 2008 Revised: 22 December 2008 – Accepted: 22 December 2008 – Published: 21 January 2009 Abstract. The warming trend of the last decades is now so by Regional Climate models (RCMs) do not deviate much strong that it is discernible in local temperature observations. from GCMs, as the prescribed SST and boundary condition This opens the possibility to compare the trend to the warm- determine the temperature to a large extent (Lenderink et al., ing predicted by comprehensive climate models (GCMs), 2007). which up to now could not be verified directly to observations By now, global warming can be detected even on the grid on a local scale, because the signal-to-noise ratio was too point scale. In this paper we investigate the high tempera- low. The observed temperature trend in western Europe over ture trends observed in western Europe over the last decades. the last decades appears much stronger than simulated by First we compare these with the trends expected on the basis state-of-the-art GCMs. The difference is very unlikely due of climate model experiments. -
Climate Models and Their Evaluation
8 Climate Models and Their Evaluation Coordinating Lead Authors: David A. Randall (USA), Richard A. Wood (UK) Lead Authors: Sandrine Bony (France), Robert Colman (Australia), Thierry Fichefet (Belgium), John Fyfe (Canada), Vladimir Kattsov (Russian Federation), Andrew Pitman (Australia), Jagadish Shukla (USA), Jayaraman Srinivasan (India), Ronald J. Stouffer (USA), Akimasa Sumi (Japan), Karl E. Taylor (USA) Contributing Authors: K. AchutaRao (USA), R. Allan (UK), A. Berger (Belgium), H. Blatter (Switzerland), C. Bonfi ls (USA, France), A. Boone (France, USA), C. Bretherton (USA), A. Broccoli (USA), V. Brovkin (Germany, Russian Federation), W. Cai (Australia), M. Claussen (Germany), P. Dirmeyer (USA), C. Doutriaux (USA, France), H. Drange (Norway), J.-L. Dufresne (France), S. Emori (Japan), P. Forster (UK), A. Frei (USA), A. Ganopolski (Germany), P. Gent (USA), P. Gleckler (USA), H. Goosse (Belgium), R. Graham (UK), J.M. Gregory (UK), R. Gudgel (USA), A. Hall (USA), S. Hallegatte (USA, France), H. Hasumi (Japan), A. Henderson-Sellers (Switzerland), H. Hendon (Australia), K. Hodges (UK), M. Holland (USA), A.A.M. Holtslag (Netherlands), E. Hunke (USA), P. Huybrechts (Belgium), W. Ingram (UK), F. Joos (Switzerland), B. Kirtman (USA), S. Klein (USA), R. Koster (USA), P. Kushner (Canada), J. Lanzante (USA), M. Latif (Germany), N.-C. Lau (USA), M. Meinshausen (Germany), A. Monahan (Canada), J.M. Murphy (UK), T. Osborn (UK), T. Pavlova (Russian Federationi), V. Petoukhov (Germany), T. Phillips (USA), S. Power (Australia), S. Rahmstorf (Germany), S.C.B. Raper (UK), H. Renssen (Netherlands), D. Rind (USA), M. Roberts (UK), A. Rosati (USA), C. Schär (Switzerland), A. Schmittner (USA, Germany), J. Scinocca (Canada), D. Seidov (USA), A.G. -
Unclaimed Dividend for FY2016-17 (As on 31St December 2017)
HeidelbergCement India Limited Unclaimed Dividend for FY2016-17 (as on 31st December 2017) AGM date 22 September 2017 Folio /DP ID CL ID Warrant No. Namr of the Shareholder Amount (Rs.) K005941 9 PRAVEEN KHANNA 2000.00 IN30096610090890 11 CAPITAL MERCHANTS PRIVATE LIMITED 2000.00 A003410 12 MANOJ AGARWAL 2800.00 A003747 13 MANOJ KUMAR AGARWALA 2200.00 B000066 15 BHAGIRATHMAL 1730.00 S002835 22 SWARCH MAHAJAN 1514.00 IN30096610270678 24 VANITA JAIN 2000.00 K001842 35 ROSHAN LAL KOHLI 4240.00 V003451 38 VISHNU PRASAD DUBEY 2000.00 IN30169610637942 39 INDIRA AGARWAL 4900.00 IN30155720484683 46 MEENA RASTOGI 2000.00 IN30055610268974 47 MOHD. SIDDIK 2400.00 M003001 52 MANJULA 2000.00 IN30021411386487 66 TEHMUL BURJOR SETHNA 7400.00 S002428 67 SUMITRA PARIKH 1600.00 IN30034310097129 68 YASHWANTSINH D. MAHIDA 2000.00 P005592 70 PRAVIN M PATEL 2000.00 S015421 78 SUNIL KRISHNA PAUL 2340.00 P002354 80 PRAVINKANT CHIMANLAL SHAH 1600.00 M002703 85 MUTHIAH 1686.00 IN30036020851364 86 SUNIL K MEHTA 20000.00 A001312 88 SHANTI RAMCHAND AHUJA 2630.00 H000682 91 SABERA HUSAIN BHAI 2600.00 K002193 92 KHATIZA KAYAMALI 2600.00 S003349 93 FIROZALI SOMJI 2960.00 A004840 103 RAMA MUKUND ACHARYA 2000.00 J001427 104 JAGADISH RATILAL SHROFF 1662.00 Y000119 108 YASHODHARA DALMIA 1900.00 N000330 115 NAOSHIR ARDESHIR VESUNA 2008.00 P004303 121 KUMARPAL HASMUKHLAL PAREKH 1528.00 1201090000005186 123 DAMJI SHAH 6000.00 1201750000078696 128 JAYESH KANTILAL SHETH 10000.00 P002247 130 PURBHOO SEETHA 2400.00 S009375 135 PALLAV SHETH 13950.00 1201200000007064 137 C. S. SHAH -
Improving Climate Model Accuracy by Exploring Parameter Space with an O(105) Member
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-198 Manuscript under review for journal Geosci. Model Dev. Discussion started: 23 October 2018 c Author(s) 2018. CC BY 4.0 License. 1 Improving climate model accuracy by exploring parameter space with an O(105) member 2 ensemble and emulator 3 Sihan Li1,2, David E. Rupp3, Linnia Hawkins3,6, Philip W. Mote3,6, Doug McNeall4, Sarah 4 N. Sparrow2, David C. H. Wallom2, Richard A. Betts4,5, Justin J. Wettstein6,7,8 5 1Environmental Change Institute, School of Geography and the Environment, University 6 of Oxford, Oxford, United Kingdom 7 2Oxford e-Research Centre, University of Oxford, Oxford, United Kingdom 8 3Oregon Climate Change Research Institute, College of Earth, Ocean, and Atmospheric 9 Science, Oregon State University, Corvallis, Oregon 10 4Met Office Hadley Centre, FitzRoy Road, Exeter, United Kingdom 11 5College of Life and Environmental Sciences, University of Exeter, Exeter, UK 12 6College of Earth, Ocean, and Atmospheric Science, Oregon State University, Corvallis, 13 Oregon 14 7Geophysical Institute, University of Bergen, Bergen, Norway 15 8Bjerknes Centre for Climate Change Research, Bergen, Norway 16 Correspondence to: Sihan Li ([email protected]) 17 18 19 20 21 22 23 1 Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-198 Manuscript under review for journal Geosci. Model Dev. Discussion started: 23 October 2018 c Author(s) 2018. CC BY 4.0 License. 24 Abstract 25 Understanding the unfolding challenges of climate change relies on climate models, many 26 of which have large summer warm and dry biases over Northern Hemisphere continental 27 mid-latitudes. -
Prep Publi Catio on Cop Py
Attribution of Extreme Weather Events in the Context of Climate Change PREPUBLICATION COPY Committee on Extreme Weather Events and Climate Change Attribution Board on Atmospheric Sciencees and Climate Division on Earth and Life Studies This prepublication version of Attribution of Extreme Weather Events in the Context of Climate Change has been provided to the public to facilitate timely access to the report. Although the substance of the report is final, editorial changes may be made throughout the text and citations will be checked prior to publication. The final report will be available through the National Academies Press in spring 2016. Copyright © National Academy of Sciences. All rights reserved. Attribution of Extreme Weather Events in the Context of Climate Change THE NATIONAL ACADEMIES PRESS 500 Fifth Street, NW Washington, DC 20001 This study was supported by the David and Lucile Packard Foundation under contract number 2015- 63077, the Heising-Simons Foundation under contract number 2015-095, the Litterman Family Foundation, the National Aeronautics and Space Administration under contract number NNX15AW55G, the National Oceanic and Atmospheric Administration under contract number EE- 133E-15-SE-1748, and the U.S. Department of Energy under contract number DE-SC0014256, with additional support from the National Academy of Sciences’ Arthur L. Day Fund. Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project. International Standard Book Number-13: International Standard Book Number-10: Digital Object Identifier: 10.17226/21852 Additional copies of this report are available for sale from the National Academies Press, 500 Fifth Street, NW, Keck 360, Washington, DC 20001; (800) 624-6242 or (202) 334-3313; http://www.nap.edu. -
Establishment of a Number of Subregional Rcofs, As Agreed by the RA II at Its Fourteenth Session Last December
The Abdus Salam World International Centre for Meteorological Theoretical Physics Organization REPORT OF THE SCOPING MEETING FOR THE LAUNCH OF SOUTH ASIAN CLIMATE OUTLOOK FORUM (SASCOF) (Trieste, Italy, 6 August 2009) Organized in conjunction with Targeted Training Activity (TTA) on Predictability of Weather and Climate: Theory and Applications to Intraseasonal Variability ICTP, Trieste, Italy, July 27 - August 7, 2009 WCASP - No. 81 WMO-TD No. 1535 WORLD METEOROLOGICAL ORGANIZATION August 2009 NOTE The designations employed in WMO publications and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of the Secretariat of WMO concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Opinions expressed in WMO publications are those of the authors and do not necessarily reflect those of WMO. The mention of specific companies or products does not imply that they are endorsed or recommended by WMO in preference to others of a similar nature which are not mentioned or advertised. This report is not an official publication of WMO and has not been subjected to its standard editorial procedures. The views expressed herein do not necessarily have the endorsement of the Organization. EXECUTIVE SUMMARY Regional Climate Outlook Forums (RCOFs), established more than a decade ago and supported by WMO in partnership with a number of other agencies, bring together national, regional and international climate experts, on an operational basis, to produce regional climate outlooks based on input from NMHSs, regional institutions, Regional Climate Centres (RCCs) and global producers of climate predictions. -
Global Climate Models and Their Limitations Anthony Lupo (USA) William Kininmonth (Australia) Contributing: J
1 Global Climate Models and Their Limitations Anthony Lupo (USA) William Kininmonth (Australia) Contributing: J. Scott Armstrong (USA), Kesten Green (Australia) 1. Global Climate Models and Their Limitations Key Findings Introduction 1.1 Model Simulation and Forecasting 1.2 Modeling Techniques 1.3 Elements of Climate 1.4 Large Scale Phenomena and Teleconnections Key Findings Confidence in a model is further based on the The IPCC places great confidence in the ability of careful evaluation of its performance, in which model general circulation models (GCMs) to simulate future output is compared against actual observations. A climate and attribute observed climate change to large portion of this chapter, therefore, is devoted to anthropogenic emissions of greenhouse gases. They the evaluation of climate models against real-world claim the “development of climate models has climate and other biospheric data. That evaluation, resulted in more realism in the representation of many summarized in the findings of numerous peer- quantities and aspects of the climate system,” adding, reviewed scientific papers described in the different “it is extremely likely that human activities have subsections of this chapter, reveals the IPCC is caused more than half of the observed increase in overestimating the ability of current state-of-the-art global average surface temperature since the 1950s” GCMs to accurately simulate both past and future (p. 9 and 10 of the Summary for Policy Makers, climate. The IPCC’s stated confidence in the models, Second Order Draft of AR5, dated October 5, 2012). as presented at the beginning of this chapter, is likely This chapter begins with a brief review of the exaggerated. -
Assimila Blank
NERC NERC Strategy for Earth System Modelling: Technical Support Audit Report Version 1.1 December 2009 Contact Details Dr Zofia Stott Assimila Ltd 1 Earley Gate The University of Reading Reading, RG6 6AT Tel: +44 (0)118 966 0554 Mobile: +44 (0)7932 565822 email: [email protected] NERC STRATEGY FOR ESM – AUDIT REPORT VERSION1.1, DECEMBER 2009 Contents 1. BACKGROUND ....................................................................................................................... 4 1.1 Introduction .............................................................................................................. 4 1.2 Context .................................................................................................................... 4 1.3 Scope of the ESM audit ............................................................................................ 4 1.4 Methodology ............................................................................................................ 5 2. Scene setting ........................................................................................................................... 7 2.1 NERC Strategy......................................................................................................... 7 2.2 Definition of Earth system modelling ........................................................................ 8 2.3 Broad categories of activities supported by NERC ................................................. 10 2.4 Structure of the report ........................................................................................... -
Review of the Global Models Used Within Phase 1 of the Chemistry–Climate Model Initiative (CCMI)
Geosci. Model Dev., 10, 639–671, 2017 www.geosci-model-dev.net/10/639/2017/ doi:10.5194/gmd-10-639-2017 © Author(s) 2017. CC Attribution 3.0 License. Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI) Olaf Morgenstern1, Michaela I. Hegglin2, Eugene Rozanov18,5, Fiona M. O’Connor14, N. Luke Abraham17,20, Hideharu Akiyoshi8, Alexander T. Archibald17,20, Slimane Bekki21, Neal Butchart14, Martyn P. Chipperfield16, Makoto Deushi15, Sandip S. Dhomse16, Rolando R. Garcia7, Steven C. Hardiman14, Larry W. Horowitz13, Patrick Jöckel10, Beatrice Josse9, Douglas Kinnison7, Meiyun Lin13,23, Eva Mancini3, Michael E. Manyin12,22, Marion Marchand21, Virginie Marécal9, Martine Michou9, Luke D. Oman12, Giovanni Pitari3, David A. Plummer4, Laura E. Revell5,6, David Saint-Martin9, Robyn Schofield11, Andrea Stenke5, Kane Stone11,a, Kengo Sudo19, Taichu Y. Tanaka15, Simone Tilmes7, Yousuke Yamashita8,b, Kohei Yoshida15, and Guang Zeng1 1National Institute of Water and Atmospheric Research (NIWA), Wellington, New Zealand 2Department of Meteorology, University of Reading, Reading, UK 3Department of Physical and Chemical Sciences, Universitá dell’Aquila, L’Aquila, Italy 4Environment and Climate Change Canada, Montréal, Canada 5Institute for Atmospheric and Climate Science, ETH Zürich (ETHZ), Zürich, Switzerland 6Bodeker Scientific, Christchurch, New Zealand 7National Center for Atmospheric Research (NCAR), Boulder, Colorado, USA 8National Institute of Environmental Studies (NIES), Tsukuba, Japan 9CNRM UMR 3589, Météo-France/CNRS, -
The Role of Natural Variability in Projections of Climate 10.1002/2016GL071565 Change Impacts on U.S
PUBLICATIONS Geophysical Research Letters RESEARCH LETTER The role of natural variability in projections of climate 10.1002/2016GL071565 change impacts on U.S. ozone pollution Key Points: Fernando Garcia-Menendez1,2 , Erwan Monier2 , and Noelle E. Selin2,3,4 • Natural variability can significantly fl in uence model-based projections of 1Department of Civil, Construction and Environmental Engineering, North Carolina State University, Raleigh, North Carolina, climate change impacts on air quality 2 • Multidecadal simulations or initial USA, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, 3 condition ensembles are needed to Massachusetts, USA, Institute for Data, Systems and Society, Massachusetts Institute of Technology, Cambridge, identify an anthropogenic-forced Massachusetts, USA, 4Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, climate signal in O3 concentrations Cambridge, Massachusetts, USA • It is difficult to attribute the impacts of climate change on O3 to human influence before midcentury or under Abstract Climate change can impact air quality by altering the atmospheric conditions that determine stabilization scenarios pollutant concentrations. Over large regions of the U.S., projected changes in climate are expected to favor formation of ground-level ozone and aggravate associated health effects. However, modeling studies Supporting Information: exploring air quality-climate interactions have often overlooked the role of natural variability, a major source • Supporting Information S1 of uncertainty in projections. Here we use the largest ensemble simulation of climate-induced changes in air Correspondence to: quality generated to date to assess its influence on estimates of climate change impacts on U.S. ozone. F. Garcia-Menendez, We find that natural variability can significantly alter the robustness of projections of the future climate’s [email protected] effect on ozone pollution. -
CMIP5-Derived Single-Forcing, Single-Model, and Single-Scenario Wind-Wave Climate Ensemble: Configuration and Performance Evaluation
Journal of Marine Science and Engineering Article CMIP5-Derived Single-Forcing, Single-Model, and Single-Scenario Wind-Wave Climate Ensemble: Configuration and Performance Evaluation Alvaro Semedo 1,2,*, Mikhail Dobrynin 3, Gil Lemos 2, Arno Behrens 4, Joanna Staneva 4, Hylke de Vries 5, Andreas Sterl 5, Jean-Raymond Bidlot 6 ID , Pedro M. A. Miranda 2 ID and Jens Murawski 7 1 Department of Water Science and Engineering, IHE-Delft, P.O. Box 3015, 2601 DA Delft, The Netherlands 2 Instituto Dom Luiz, Faculdade de Ciências, University of Lisbon, 1749-016 Lisbon, Portugal; [email protected] (G.L.); [email protected] (P.M.A.M.) 3 Institute of Oceanography, Center for Earth System Research and Sustainability (CEN), Universität Hamburg, 20095 Hamburg, Germany; [email protected] 4 Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research, D-21502 Geesthacht, Germany; [email protected] (A.B.); [email protected] (J.S.) 5 Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731GA De Bilt, The Netherlands; [email protected] (H.d.V.); [email protected] (A.S.) 6 European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading RG2 9AX, UK; [email protected] 7 Danish Meteorological Institute, 2100 Copenhagen Ø, Denmark; [email protected] * Correspondence: [email protected]; Tel.: +31-152-152-387 Received: 22 June 2018; Accepted: 25 July 2018; Published: 1 August 2018 Abstract: A Coupled Model Intercomparison Project Phase 5 (CMIP5)-derived single-forcing, single-model, and single-scenario dynamic wind-wave climate ensemble is presented, and its historic period (1979–2005) performance in representing the present wave climate is evaluated. -
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dm{f©H$ à{VdoXZ Annual Report 2016-17 ^maVr¶ {dkmZ {ejm Ed§ AZwg§YmZ g§ñWmZ nwUo Indian Institute of Science Education and Research Pune XyaX{e©Vm Ed§ bú` uCƒV‘ j‘Vm Ho$ EH$ Eogo d¡km{ZH$ g§ñWmZ H$s ñWmnZm {Og‘| AË`mYw{ZH$ AZwg§YmZ g{hV AÜ`mnZ Ed§ {ejm nyU©ê$n go EH$sH¥$V hmo& u{Okmgm Am¡a aMZmË‘H$Vm go `wº$ CËH¥$ï> g‘mH$bZmË‘H$ AÜ`mnZ Ho$ ‘mÜ`m‘ go ‘m¡{bH$ {dkmZ Ho$ AÜ``Z H$mo amoMH$ ~ZmZm& ubMrbo Ed§ Agr‘ nmR>çH«$‘ VWm AZwg§YmZ n[a`moOZmAm| Ho$ ‘mÜ`‘ go N>moQ>r Am`w ‘| hr AZwg§YmZ joÌ ‘| àdoe& Vision & Mission uEstablish scientific institution of the highest caliber where teaching and education are totally integrated with state-of-the-art research uMake learning of basic sciences exciting through excellent integrative teaching driven by curiosity and creativity uEntry into research at an early age through a flexible borderless curriculum and research projects Annual Report 2016-17 Correct Citation IISER Pune Annual Report 2016-17, Pune, India Published by Dr. K.N. Ganesh Director Indian Institute of Science Education and Research Pune Dr. Homi J. Bhabha Road Pashan, Pune 411 008, India Telephone: +91 20 2590 8001 Fax: +91 20 2025 1566 Website: www.iiserpune.ac.in Compiled and Edited by Dr. Shanti Kalipatnapu Dr. V.S. Rao Ms. Kranthi Thiyyagura Photo Courtesy IISER Pune Students and Staff © No part of this publication be reproduced without permission from the Director, IISER Pune at the above address Printed by United Multicolour Printers Pvt.