Climate Models an Assessment of Strengths and Limitations
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A GIS-Based Software to Simulate Groundwater Nitrate Load from Septic Systems to Surface Water Bodies
Computers & Geosciences 52 (2013) 108–116 Contents lists available at SciVerse ScienceDirect Computers & Geosciences journal homepage: www.elsevier.com/locate/cageo ArcNLET: A GIS-based software to simulate groundwater nitrate load from septic systems to surface water bodies J. Fernando Rios a, Ming Ye b,n, Liying Wang b, Paul Z. Lee c, Hal Davis d, Rick Hicks c a Department of Geography, State University of New York at Buffalo, Buffalo, NY, USA b Department of Scientific Computing, Florida State University, Tallahassee, FL, USA c Florida Department of Environmental Protection, Tallahassee, FL, USA d 2625 Vergie Court, Tallahassee, FL 32303, USA article info abstract Article history: Onsite wastewater treatment systems (OWTS), or septic systems, can be a significant source of nitrates Received 17 June 2012 in groundwater and surface water. The adverse effects that nitrates have on human and environmental Received in revised form health have given rise to the need to estimate the actual or potential level of nitrate contamination. 4 October 2012 With the goal of reducing data collection and preparation costs, and decreasing the time required to Accepted 5 October 2012 produce an estimate compared to complex nitrate modeling tools, we developed the ArcGIS-based Available online 16 October 2012 Nitrate Load Estimation Toolkit (ArcNLET) software. Leveraging the power of geographic information Keywords: systems (GIS), ArcNLET is an easy-to-use software capable of simulating nitrate transport in ground- Nitrate transport water and estimating long-term nitrate loads from groundwater to surface water bodies. Data Screening model requirements are reduced by using simplified models of groundwater flow and nitrate transport which Denitrification consider nitrate attenuation mechanisms (subsurface dispersion and denitrification) as well as spatial Septic system Nitrogen variability in the hydraulic parameters and septic tank distribution. -
Climate Change and Human Health: Risks and Responses
Climate change and human health RISKS AND RESPONSES Editors A.J. McMichael The Australian National University, Canberra, Australia D.H. Campbell-Lendrum London School of Hygiene and Tropical Medicine, London, United Kingdom C.F. Corvalán World Health Organization, Geneva, Switzerland K.L. Ebi World Health Organization Regional Office for Europe, European Centre for Environment and Health, Rome, Italy A.K. Githeko Kenya Medical Research Institute, Kisumu, Kenya J.D. Scheraga US Environmental Protection Agency, Washington, DC, USA A. Woodward University of Otago, Wellington, New Zealand WORLD HEALTH ORGANIZATION GENEVA 2003 WHO Library Cataloguing-in-Publication Data Climate change and human health : risks and responses / editors : A. J. McMichael . [et al.] 1.Climate 2.Greenhouse effect 3.Natural disasters 4.Disease transmission 5.Ultraviolet rays—adverse effects 6.Risk assessment I.McMichael, Anthony J. ISBN 92 4 156248 X (NLM classification: WA 30) ©World Health Organization 2003 All rights reserved. Publications of the World Health Organization can be obtained from Marketing and Dis- semination, World Health Organization, 20 Avenue Appia, 1211 Geneva 27, Switzerland (tel: +41 22 791 2476; fax: +41 22 791 4857; email: [email protected]). Requests for permission to reproduce or translate WHO publications—whether for sale or for noncommercial distribution—should be addressed to Publications, at the above address (fax: +41 22 791 4806; email: [email protected]). The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of the World Health Organization concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. -
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. -
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15 NOVEMBER 2006 A R O R A A N D B O E R 5875 The Temporal Variability of Soil Moisture and Surface Hydrological Quantities in a Climate Model VIVEK K. ARORA AND GEORGE J. BOER Canadian Centre for Climate Modelling and Analysis, Meteorological Service of Canada, University of Victoria, Victoria, British Columbia, Canada (Manuscript received 4 October 2005, in final form 8 February 2006) ABSTRACT The variance budget of land surface hydrological quantities is analyzed in the second Atmospheric Model Intercomparison Project (AMIP2) simulation made with the Canadian Centre for Climate Modelling and Analysis (CCCma) third-generation general circulation model (AGCM3). The land surface parameteriza- tion in this model is the comparatively sophisticated Canadian Land Surface Scheme (CLASS). Second- order statistics, namely variances and covariances, are evaluated, and simulated variances are compared with observationally based estimates. The soil moisture variance is related to second-order statistics of surface hydrological quantities. The persistence time scale of soil moisture anomalies is also evaluated. Model values of precipitation and evapotranspiration variability compare reasonably well with observa- tionally based and reanalysis estimates. Soil moisture variability is compared with that simulated by the Variable Infiltration Capacity-2 Layer (VIC-2L) hydrological model driven with observed meteorological data. An equation is developed linking the variances and covariances of precipitation, evapotranspiration, and runoff to soil moisture variance via a transfer function. The transfer function is connected to soil moisture persistence in terms of lagged autocorrelation. Soil moisture persistence time scales are shorter in the Tropics and longer at high latitudes as is consistent with the relationship between soil moisture persis- tence and the latitudinal structure of potential evaporation found in earlier studies. -
Cumulus Microphysics and Climate Sensitivity
2376 JOURNAL OF CLIMATE VOLUME 18 Cumulus Microphysics and Climate Sensitivity ANTHONY D. DEL GENIO NASA Goddard Institute for Space Studies, New York, New York WILLIAM KOVARI Center for Climate Systems Research, Columbia University, New York, New York MAO-SUNG YAO SGT, Inc., Institute for Space Studies, New York, New York JEFFREY JONAS Center for Climate Systems Research, Columbia University, New York, New York (Manuscript received 24 May 2004, in final form 15 October 2004) ABSTRACT Precipitation processes in convective storms are potentially a major regulator of cloud feedback. An unresolved issue is how the partitioning of convective condensate between precipitation-size particles that fall out of updrafts and smaller particles that are detrained to form anvil clouds will change as the climate warms. Tropical Rainfall Measuring Mission (TRMM) observations of tropical oceanic convective storms indicate higher precipitation efficiency at warmer sea surface temperature (SST) but also suggest that cumulus anvil sizes, albedos, and ice water paths become insensitive to warming at high temperatures. International Satellite Cloud Climatology Project (ISCCP) data show that instantaneous cirrus and deep convective cloud fractions are positively correlated and increase with SST except at the highest tempera- tures, but are sensitive to variations in large-scale vertical velocity. A simple conceptual model based on a Marshall–Palmer drop size distribution, empirical terminal velocity–particle size relationships, and assumed cumulus updraft speeds reproduces the observed tendency for detrained condensate to approach a limiting value at high SST. These results suggest that the climatic behavior of observed tropical convective clouds is intermediate between the extremes required to support the thermostat and adaptive iris hypotheses. -
Developing and Applying Scenarios
3 Developing and Applying Scenarios TIMOTHY R. CARTER (FINLAND) AND EMILIO L. LA ROVERE (BRAZIL) Lead Authors: R.N. Jones (Australia), R. Leemans (The Netherlands), L.O. Mearns (USA), N. Nakicenovic (Austria), A.B. Pittock (Australia), S.M. Semenov (Russian Federation), J. Skea (UK) Contributing Authors: S. Gromov (Russian Federation), A.J. Jordan (UK), S.R. Khan (Pakistan), A. Koukhta (Russian Federation), I. Lorenzoni (UK), M. Posch (The Netherlands), A.V. Tsyban (Russian Federation), A. Velichko (Russian Federation), N. Zeng (USA) Review Editors: Shreekant Gupta (India) and M. Hulme (UK) CONTENTS Executive Summary 14 7 3. 6 . Sea-Level Rise Scenarios 17 0 3. 6 . 1 . Pu r p o s e 17 0 3. 1 . Definitions and Role of Scenarios 14 9 3. 6 . 2 . Baseline Conditions 17 0 3. 1 . 1 . In t r o d u c t i o n 14 9 3. 6 . 3 . Global Average Sea-Level Rise 17 0 3. 1 . 2 . Function of Scenarios in 3. 6 . 4 . Regional Sea-Level Rise 17 0 Impact and Adaptation As s e s s m e n t 14 9 3. 6 . 5 . Scenarios that Incorporate Var i a b i l i t y 17 1 3. 1 . 3 . Approaches to Scenario Development 3. 6 . 6 . Application of Scenarios 17 1 and Ap p l i c a t i o n 15 0 3. 1 . 4 . What Changes are being Considered? 15 0 3. 7 . Re p r esenting Interactions in Scenarios and Ensuring Consistency 17 1 3. 2 . Socioeconomic Scenarios 15 1 3. -
Climate Change: Addressing the Major Skeptic Arguments
Climate Change: Addressing the Major Skeptic Arguments September 2010 Whitepaper available online: http://www.dbcca.com/research Carbon Counter widget available for download at: www.Know-The-Number.com Research Team Authors Mary-Elena Carr, Ph.D. Kate Brash Associate Director Assistant Director Columbia Climate Center, Earth Institute Columbia Climate Center, Earth Institute Columbia University Columbia University Robert F. Anderson, Ph.D. Ewing-Lamont Research Professor Lamont-Doherty Earth Observatory Columbia University DB Climate Change Advisors – Climate Change Investment Research Mark Fulton Bruce M. Kahn, Ph.D. Managing Director Director Global Head of Climate Change Investment Research Senior Investment Analyst Nils Mellquist Emily Soong Vice President Associate Senior Research Analyst Jake Baker Lucy Cotter Associate Research Analyst 2 Climate Change: Addressing the Major Skeptic Arguments Editorial Mark Fulton Global Head of Climate Change Investment Research Addressing the Climate Change Skeptics The purpose of this paper is to examine the many claims and counter-claims being made in the public debate about climate change science. For most of this year, the volume of this debate has turned way up as the ‘skeptics’ launched a determined assault on the climate findings accepted by the overwhelming majority of the scientific community. Unfortunately, the increased noise has only made it harder for people to untangle the arguments and form their own opinions. This is problematic because the way the public’s views are shaped is critical to future political action on climate change. For investors in particular, the implications are huge. While there are many arguments in favor of clean energy, water and sustainable agriculture – for instance, energy security, economic growth, and job opportunities – we at DB Climate Change Advisors (DBCCA) have always said that the science is one essential foundation of the whole climate change investment thesis. -
A Review of Climate Change Scenarios and Preliminary Rainfall Trend Analysis in the Oum Er Rbia Basin, Morocco
WORKING PAPER 110 A Review of Climate Drought Series: Paper 8 Change Scenarios and Preliminary Rainfall Trend Analysis in the Oum Er Rbia Basin, Morocco Anne Chaponniere and Vladimir Smakhtin Postal Address P O Box 2075 Colombo Sri Lanka Location 127, Sunil Mawatha Pelawatta Battaramulla Sri Lanka Telephone +94-11 2787404 Fax +94-11 2786854 E-mail [email protected] Website http://www.iwmi.org SM International International Water Management IWMI isaFuture Harvest Center Water Management Institute supportedby the CGIAR ISBN: 92-9090-635-9 Institute ISBN: 978-92-9090-635-9 Working Paper 110 Drought Series: Paper 8 A Review of Climate Change Scenarios and Preliminary Rainfall Trend Analysis in the Oum Er Rbia Basin, Morocco Anne Chaponniere and Vladimir Smakhtin International Water Management Institute IWMI receives its principal funding from 58 governments, private foundations and international and regional organizations known as the Consultative Group on International Agricultural Research (CGIAR). Support is also given by the Governments of Ghana, Pakistan, South Africa, Sri Lanka and Thailand. The authors: Anne Chaponniere is a Post Doctoral Fellow in Hydrology and Water Resources at IWMI Sub-regional office for West Africa (Accra, Ghana). Vladimir Smakhtin is a Principal Hydrologist at IWMI Headquarters in Colombo, Sri Lanka. Acknowledgments: The study was supported from IWMI core funds. The paper was reviewed by Dr Hugh Turral (IWMI, Colombo). Chaponniere, A.; Smakhtin, V. 2006. A review of climate change scenarios and preliminary rainfall trend analysis in the Oum er Rbia Basin, Morocco. Working Paper 110 (Drought Series: Paper 8) Colombo, Sri Lanka: International Water Management Institute (IWMI). -
Description and Evaluation of the Model for Ozone and Related Chemical Tracers, Version 4 (MOZART-4)
Geosci. Model Dev., 3, 43–67, 2010 www.geosci-model-dev.net/3/43/2010/ Geoscientific © Author(s) 2010. This work is distributed under Model Development the Creative Commons Attribution 3.0 License. Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4) L. K. Emmons1, S. Walters1, P. G. Hess1,*, J.-F. Lamarque1, G. G. Pfister1, D. Fillmore1,**, C. Granier2,3, A. Guenther1, D. Kinnison1, T. Laepple1,***, J. Orlando1, X. Tie1, G. Tyndall1, C. Wiedinmyer1, S. L. Baughcum4, and S. Kloster5,* 1National Center for Atmospheric Research, Boulder, CO, USA 2Centre National de la Recherche Scientifique, Paris, France 3NOAA, Earth System Research Laboratory, Boulder, CO, USA 4Boeing Company, Seattle, WA, USA 5Max-Planck-Institute for Meteorology, Hamburg, Germany *now at: Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA **now at: Tech-X Corporation, Boulder, CO, USA ***now at: Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany Received: 6 August 2009 – Published in Geosci. Model Dev. Discuss.: 27 August 2009 Revised: 7 December 2009 – Accepted: 8 December 2009 – Published: 12 January 2010 Abstract. The Model for Ozone and Related chemical Tra- teorological observations. MOZART is built on the frame- cers, version 4 (MOZART-4) is an offline global chemical work of the Model of Atmospheric Transport and Chemistry transport model particularly suited for studies of the tropo- (MATCH) (Rasch et al., 1997). Convective mass fluxes are sphere. The updates of the model from its previous version diagnosed by the model, using the shallow and mid-level MOZART-2 are described, including an expansion of the convective transport formulation of Hack (1994) and deep chemical mechanism to include more detailed hydrocarbon convection scheme of Zhang and MacFarlane (1995). -
Improving Representations of Boundary Layer Processes
1 2 3 4 5 6 Regional climate modeling over the Maritime Continent: Improving 7 representations of boundary layer processes 8 9 Rebecca L. Gianotti* and Elfatih A. B. Eltahir 10 11 Ralph M. Parsons Laboratory, Massachusetts Institute of Technology, 12 15 Vassar St, Cambridge MA 02139, USA 13 14 15 16 17 18 19 20 ELTAHIR Research Group Report #3, 21 March, 2014 1 Abstract 2 This paper describes work to improve the representation of boundary layer processes 3 within a regional climate model (Regional Climate Model Version 3 (RegCM3) coupled to 4 the Integrated Biosphere Simulator (IBIS)) applied over the Maritime Continent. In 5 particular, modifications were made to improve model representations of the mixed 6 boundary layer height and non-convective cloud cover within the mixed boundary layer. 7 Model output is compared to a variety of ground-based and satellite-derived observational 8 data, including a new dataset obtained from radiosonde measurements taken at Changi 9 airport, Singapore, four times per day. These data were commissioned specifically for this 10 project and were not part of the airport’s routine data collection. It is shown that the 11 modifications made to RegCM3-IBIS significantly improve representations of the mixed 12 boundary layer height and low-level cloud cover over the Maritime Continent region by 13 lowering the simulated nocturnal boundary layer height and removing erroneous cloud 14 within the mixed boundary layer over land. The results also show some improvement with 15 respect to simulated radiation and rainfall, compared to the default version of the model. -
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. -
A Prediction Market for Climate Outcomes
Florida State University College of Law Scholarship Repository Scholarly Publications 2011 A Prediction Market for Climate Outcomes Shi-Ling Hsu Florida State University College of Law Follow this and additional works at: https://ir.law.fsu.edu/articles Part of the Environmental Law Commons, Law and Politics Commons, Natural Resources Law Commons, and the Oil, Gas, and Mineral Law Commons Recommended Citation Shi-Ling Hsu, A Prediction Market for Climate Outcomes, 83 U. COLO. L. REV. 179 (2011), Available at: https://ir.law.fsu.edu/articles/497 This Article is brought to you for free and open access by Scholarship Repository. It has been accepted for inclusion in Scholarly Publications by an authorized administrator of Scholarship Repository. For more information, please contact [email protected]. A PREDICTION MARKET FOR CLIMATE OUTCOMES * SHI-LING HSU This Article proposes a way of introducing some organization and tractability in climate science, generating more widely credible evaluations of climate science, and imposing some discipline on the processing and interpretation of climate information. I propose a two-part policy instrument consisting of (1) a carbon tax that is indexed to a “basket” of climate outcomes, and (2) a cap-and- trade system of emissions permits that can be redeemed in the future in lieu of paying the carbon tax. The amount of the carbon tax in this proposal (per ton of CO2) would be set each year on the basis of some objective, non-manipulable climate indices, such as temperature and mean sea level, and also on the number of certain climate events, such as flood events or droughts, that occurred in the previous year (or some moving average of previous years).