Targeted model evaluations for climate services: A case study on heat waves in Bangladesh
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[1] W. J. Conover,et al. Practical Nonparametric Statistics , 1972 .
[2] G. W. Ficken. Beating the heat , 1978 .
[3] Marie Sanderson,et al. Pre-monsoon rainfall and its variability in Bangladesh: a trend surface analysis / Chute des pluis de la pré-mousson et sa variabilité au Bangladesh: Tendance d'analyse en superficie , 1979 .
[4] G. Box. Robustness in the Strategy of Scientific Model Building. , 1979 .
[5] R. Ramanathan,et al. Short-run forecasts of electricity loads and peaks , 1997 .
[6] L. Goddarda,et al. CURRENT APPROACHES TO SEASONAL-TO-INTERANNUAL CLIMATE PREDICTIONS , 2000 .
[7] T. Palmer,et al. A Probability and Decision-Model Analysis of a Multimodel Ensemble of Climate Change Simulations , 2001 .
[8] Clive W. J. Granger,et al. Short-run forecasts of electricity loads and peaks , 2001 .
[9] C. Ropelewski,et al. Current approaches to seasonal to interannual climate predictions , 2001 .
[10] M. Allen,et al. Constraints on future changes in climate and the hydrologic cycle , 2002, Nature.
[11] Leonard A. Smith,et al. What might we learn from climate forecasts? , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[12] H. B. Gordon,et al. The CSIRO Mk3 climate system model , 2002 .
[13] R. Buizza,et al. Using weather ensemble predictions in electricity demand forecasting , 2003 .
[14] A. Barnston,et al. Multimodel Ensembling in Seasonal Climate Forecasting at IRI , 2003 .
[15] Leonard A. Smith,et al. Using medium-range weather forcasts to improve the value of wind energy production , 2003 .
[16] E. Malone,et al. Adaptation Policy Frameworks for Climate Change: Developing Strategies, Policies and Measures , 2004 .
[17] S. Huq,et al. Adaptation Policy Frameworks for Climate Change , 2004 .
[18] Andrew P. Morse,et al. DEVELOPMENT OF A EUROPEAN MULTIMODEL ENSEMBLE SYSTEM FOR SEASONAL-TO-INTERANNUAL PREDICTION (DEMETER) , 2004 .
[19] Milind Kandlikar,et al. Representing and communicating deep uncertainty in climate-change assessments , 2005 .
[20] Jn Hacker,et al. Beating the heat: Keeping UK buildings cool in a warmer climate , 2005 .
[21] Richard L. Smith,et al. Quantifying Uncertainty in Projections of Regional Climate Change: A Bayesian Approach to the Analysis of Multimodel Ensembles , 2005 .
[22] Jn Hacker,et al. Constructing design weather data for future climates , 2005 .
[23] Simona Masina,et al. Interannual to Decadal Climate Predictability in the North Atlantic: A Multimodel-Ensemble Study , 2006 .
[24] James Hansen,et al. Translating climate forecasts into agricultural terms: advances and challenges , 2006 .
[25] John F. B. Mitchell,et al. THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research , 2007 .
[26] Jim W. Hall,et al. Probabilistic climate scenarios may misrepresent uncertainty and lead to bad adaptation decisions , 2007 .
[27] Reto Knutti,et al. The use of the multi-model ensemble in probabilistic climate projections , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[28] Charles Doutriaux,et al. Performance metrics for climate models , 2008 .
[29] T. Cannon,et al. Community level adaptation to climate change: The potential role of participatory community risk assessment , 2008 .
[30] R. Laprise,et al. Challenging some tenets of Regional Climate Modelling , 2008 .
[31] H. R. Anderson,et al. Heat Effects on Mortality in 15 European Cities , 2008, Epidemiology.
[32] T. Palmer,et al. ENSEMBLES: A new multi‐model ensemble for seasonal‐to‐annual predictions—Skill and progress beyond DEMETER in forecasting tropical Pacific SSTs , 2009 .
[33] A. Alessandri,et al. INGV-CMCC Carbon (ICC): A Carbon Cycle Earth System Model , 2009 .
[34] G. Meehl,et al. Decadal prediction: Can it be skillful? , 2009 .
[35] Chung‐Kyu Park,et al. A Probabilistic Multimodel Ensemble Approach to Seasonal Prediction , 2009 .
[36] Stephane Hallegatte,et al. Strategies to adapt to an uncertain climate change , 2009 .
[37] A. Bodas‐Salcedo,et al. Dreary state of precipitation in global models , 2010 .
[38] H. Hasumi,et al. Improved Climate Simulation by MIROC5: Mean States, Variability, and Climate Sensitivity , 2010, Journal of Climate.
[39] E. Volodin,et al. Simulating present-day climate with the INMCM4.0 coupled model of the atmospheric and oceanic general circulations , 2010 .
[40] Walter E. Baethgen,et al. Climate Risk Management for Adaptation to Climate Variability and Change , 2010 .
[41] Reto Knutti,et al. Challenges in Combining Projections from Multiple Climate Models , 2010 .
[42] G. Holland,et al. Tropical cyclones and climate change , 2010, Tropical Cyclone Research and Review.
[43] Nicholas Stern,et al. Uncertainty in science and its role in climate policy , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[44] James Hansen,et al. REVIEW OF SEASONAL CLIMATE FORECASTING FOR AGRICULTURE IN SUB-SAHARAN AFRICA , 2011, Experimental Agriculture.
[45] C. Jones,et al. The HadGEM2 family of Met Office Unified Model climate configurations , 2011 .
[46] S. Gualdi,et al. Effects of Tropical Cyclones on Ocean Heat Transport in a High-Resolution Coupled General Circulation Model , 2011 .
[47] G. Danabasoglu,et al. The Community Climate System Model Version 4 , 2011 .
[48] David J Spiegelhalter,et al. Don't know, can't know: embracing deeper uncertainties when analysing risks , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[49] P. Webster,et al. Evaluation of short‐term climate change prediction in multi‐model CMIP5 decadal hindcasts , 2012 .
[50] N. Ranger,et al. Accounting for a changing and uncertain climate in planning and policymaking today: lessons for developing countries , 2012 .
[51] L. Goddard,et al. Latin American Perspectives on Adaptation of Agricultural Systems to Climate Variability and Change , 2012 .
[52] Ronald,et al. GFDL’s ESM2 Global Coupled Climate–Carbon Earth System Models. Part I: Physical Formulation and Baseline Simulation Characteristics , 2012 .
[53] Francisco J. Doblas-Reyes,et al. Decadal prediction skill in a multi-model ensemble , 2012, Climate Dynamics.
[54] Pascal Yiou,et al. Asymmetric European summer heat predictability from wet and dry southern winters and springs , 2012 .
[55] Casey Brown,et al. Investment Decision Making Under Deep Uncertainty -- Application to Climate Change , 2012 .
[56] A. Kitoh,et al. APHRODITE: Constructing a Long-Term Daily Gridded Precipitation Dataset for Asia Based on a Dense Network of Rain Gauges , 2012 .
[57] C. C. Venton. Value for Money of Multi-year Approaches to Humanitarian Funding. , 2013 .
[58] R. Seager,et al. Stratospheric ozone depletion: a key driver of recent precipitation trends in South Eastern South America , 2014, Climate Dynamics.
[59] C. Rosenzweig,et al. Multi-factor impact analysis of agricultural production in Bangladesh with climate change , 2013 .
[60] A. Hossain,et al. Wheat production in Bangladesh: its future in the light of global warming , 2012, AoB PLANTS.
[61] B. Stevens,et al. Climate and carbon cycle changes from 1850 to 2100 in MPI‐ESM simulations for the Coupled Model Intercomparison Project phase 5 , 2013 .
[62] Francisco J. Doblas-Reyes,et al. Seasonal climate predictability and forecasting: status and prospects , 2013 .
[63] Executive Summary. MALAWI CLIMATE CHANGE VULNERABILITY ASSESSMENT , 2013 .
[64] Krista,et al. GFDL’s ESM2 Global Coupled Climate–Carbon Earth System Models. Part II: Carbon System Formulation and Baseline Simulation Characteristics* , 2013 .
[65] Joseph Daron,et al. Interrogating empirical-statistical downscaling , 2014, Climatic Change.
[66] F. Zwiers,et al. Changes in temperature and precipitation extremes in the CMIP5 ensemble , 2013, Climatic Change.
[67] S. Bony,et al. Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5 , 2013, Climate Dynamics.
[68] Arthur C. Petersen,et al. Variations on reliability: Connecting climate predictions to climate policy , 2013 .
[69] E. Fischer,et al. Robust spatially aggregated projections of climate extremes , 2013 .
[70] Leonard A. Smith,et al. Laplace’s Demon and the Adventures of His Apprentices , 2014, Philosophy of Science.
[71] Antonella Zanobetti,et al. Acclimatization across space and time in the effects of temperature on mortality: a time-series analysis , 2014, Environmental Health.
[72] Diego G. Miralles,et al. Mega-heatwave temperatures due to combined soil desiccation and atmospheric heat accumulation , 2014 .
[73] A. Barnston,et al. The North American multimodel ensemble: Phase-1 seasonal-to-interannual prediction; phase-2 toward developing intraseasonal prediction , 2014 .
[74] Pablo Suarez,et al. Science to prevent disasters , 2014 .
[75] Vishnu Prasad Pandey,et al. Climate Change Vulnerability Assessment , 2014, Climate Action Planning.
[76] L. Stringer,et al. Actual and Potential Weather and Climate Information Needs for Development Planning in Malawi: Results of a Future Climate for Africa Pilot Case Study , 2014 .
[77] P. Webster,et al. Development and Implementation of South Asia’s First Heat-Health Action Plan in Ahmedabad (Gujarat, India) , 2014, International journal of environmental research and public health.
[78] T. N. Palmer,et al. On the reliability of seasonal climate forecasts , 2013, Journal of The Royal Society Interface.
[79] C. White,et al. Relationships between climate variability, soil moisture, and Australian heatwaves , 2015 .
[80] Peter Bauer,et al. The quiet revolution of numerical weather prediction , 2015, Nature.
[81] M. Collins,et al. Seasonal intercomparison of observational rainfall datasets over India during the southwest monsoon season , 2015 .
[82] Jun-biao Zhang,et al. Effects of Climate Change on the Yield and Cropping Area of Major Food Crops: A Case of Bangladesh , 2015 .
[83] Leonard A. Smith,et al. An assessment of the foundational assumptions in high-resolution climate projections: the case of UKCP09 , 2015, Synthese.
[84] R. Betts,et al. Developing H++ climate change scenarios for heat waves, droughts, floods, windstorms and cold snaps , 2015 .
[85] C. Kobayashi,et al. The JRA-55 Reanalysis: General Specifications and Basic Characteristics , 2015 .
[86] Leonard A. Smith,et al. Tales of future weather , 2015 .
[87] Bettina Koelle,et al. Ensuring climate information guides long-term development , 2015 .
[88] B. Hewitson,et al. Co-exploratory climate risk workshops: Experiences from urban Africa , 2016 .
[89] K. Ebi,et al. Iterative management of heat early warning systems in a changing climate , 2016, Annals of the New York Academy of Sciences.
[90] Roman Frigg,et al. Expert Judgment for Climate Change Adaptation , 2016, Philosophy of Science.
[91] G. Vecchi,et al. A weather-type-based cross-time-scale diagnostic framework for coupled circulation models , 2017 .
[92] E. Volodin,et al. Simulation of the present-day climate with the climate model INMCM5 , 2017, Climate Dynamics.
[93] Erin Coughlan de Perez,et al. Defining and Predicting Heat Waves in Bangladesh , 2017 .
[94] Katinka Waagsaether,et al. Climate information websites: an evolving landscape , 2017 .
[95] B. Hurk,et al. Should seasonal rainfall forecasts be used for flood preparedness , 2017 .
[96] Florian Pappenberger,et al. Global predictability of temperature extremes , 2018 .
[97] M. Thomson,et al. Connecting climate information with health outcomes , 2018 .
[98] D. Conway,et al. From advocacy to action: Projecting the health impacts of climate change , 2018, PLoS medicine.
[99] A. Bandyopadhyay,et al. Comparison of Various Reanalyses Gridded Data with Observed Data from Meteorological Stations over India , 2018 .
[100] John Paul Gosling,et al. Building narratives to characterise uncertainty in regional climate change through expert elicitation , 2018, Environmental Research Letters.
[101] Leonard A. Smith,et al. Escape from model-land , 2019, Economics.
[102] M. Thomson,et al. On the use and misuse of climate change projections in international development , 2019, WIREs Climate Change.
[103] M. Thomson,et al. Predicting Climate Impacts on Health at Sub-seasonal to Seasonal Timescales , 2019, Sub-Seasonal to Seasonal Prediction.