Sökning: WFRF:(Williams Michelle C.) > The GGCMI Phase 2 e...
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000 | 05646naa a2200589 4500 | |
001 | oai:lup.lub.lu.se:30898cc7-7e06-4d93-b9cb-8ac85321ce54 | |
003 | SwePub | |
008 | 201119s2020 | |||||||||||000 ||eng| | |
024 | 7 | a https://lup.lub.lu.se/record/30898cc7-7e06-4d93-b9cb-8ac85321ce542 URI |
024 | 7 | a https://doi.org/10.5194/gmd-13-3995-20202 DOI |
040 | a (SwePub)lu | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a art2 swepub-publicationtype |
072 | 7 | a ref2 swepub-contenttype |
100 | 1 | a Franke, James A.u University of Chicago4 aut |
245 | 1 0 | a The GGCMI Phase 2 emulators : Global gridded crop model responses to changes in CO2, temperature, water, and nitrogen (version 1.0) |
264 | c 2020-09-03 | |
264 | 1 | b Copernicus GmbH,c 2020 |
300 | a 24 s. | |
520 | a Statistical emulation allows combining advantageous features of statistical and process-based crop models for understanding the effects of future climate changes on crop yields. We describe here the development of emulators for nine process-based crop models and five crops using output from the Global Gridded Model Intercomparison Project (GGCMI) Phase 2. The GGCMI Phase 2 experiment is designed with the explicit goal of producing a structured training dataset for emulator development that samples across four dimensions relevant to crop yields: Atmospheric carbon dioxide (CO2) concentrations, temperature, water supply, and nitrogen inputs (CTWN). Simulations are run under two different adaptation assumptions: That growing seasons shorten in warmer climates, and that cultivar choice allows growing seasons to remain fixed. The dataset allows emulating the climatological-mean yield response of all models with a simple polynomial in mean growing-season values. Climatological-mean yields are a central metric in climate change impact analysis; we show here that they can be captured without relying on interannual variations. In general, emulation errors are negligible relative to differences across crop models or even across climate model scenarios; errors become significant only in some marginal lands where crops are not currently grown. We demonstrate that the resulting GGCMI emulators can reproduce yields under realistic future climate simulations, even though the GGCMI Phase 2 dataset is constructed with uniform CTWN offsets, suggesting that the effects of changes in temperature and precipitation distributions are small relative to those of changing means. The resulting emulators therefore capture relevant crop model responses in a lightweight, computationally tractable form, providing a tool that can facilitate model comparison, diagnosis of interacting factors affecting yields, and integrated assessment of climate impacts. | |
650 | 7 | a NATURVETENSKAPx Geovetenskap och miljövetenskapx Miljövetenskap0 (SwePub)105022 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Environmental Sciences0 (SwePub)105022 hsv//eng |
700 | 1 | a Müller, Christophu Leibniz Association4 aut0 (Swepub:lu)nord-crm |
700 | 1 | a Elliott, Joshuau University of Chicago,NASA Goddard Institute for Space Studies4 aut |
700 | 1 | a Ruane, Alex C.u Center for Climate Systems Research4 aut |
700 | 1 | a Jägermeyr, Jonasu Center for Climate Systems Research,University of Chicago,Leibniz Association,NASA Goddard Institute for Space Studies4 aut |
700 | 1 | a Snyder, Abigailu Pacific Northwest National Laboratory4 aut |
700 | 1 | a Dury, Marieu University of Liège4 aut |
700 | 1 | a Falloon, Pete D.u Met Office4 aut |
700 | 1 | a Folberth, Christianu International Institute for Applied Systems Analysis4 aut |
700 | 1 | a François, Louisu University of Liège4 aut |
700 | 1 | a Hank, Tobiasu World Orthopaedic Concern4 aut |
700 | 1 | a Cesar Izaurralde, R.u Texas A and M University,University of Maryland4 aut |
700 | 1 | a Jacquemin, Ingridu University of Liège4 aut |
700 | 1 | a Jones, Curtisu University of Maryland4 aut |
700 | 1 | a Li, Michelleu University of Chicago4 aut |
700 | 1 | a Liu, Wenfengu University of Paris-Saclay,Eawag: Swiss Federal Institute of Aquatic Science and Technology4 aut |
700 | 1 | a Olin, Stefanu Lund University,Lunds universitet,BECC: Biodiversity and Ecosystem services in a Changing Climate,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,MERGE: ModElling the Regional and Global Earth system,Institutionen för naturgeografi och ekosystemvetenskap,Centre for Environmental and Climate Science (CEC),Faculty of Science,Dept of Physical Geography and Ecosystem Science4 aut0 (Swepub:lu)nate-sao |
700 | 1 | a Phillips, Meridelu NASA Goddard Institute for Space Studies,Center for Climate Systems Research4 aut |
700 | 1 | a Pugh, Thomas A.M.u University of Birmingham4 aut0 (Swepub:lu)th5432pu |
700 | 1 | a Reddy, Ashwanu University of Maryland4 aut |
700 | 1 | a Williams, Karinau University of Exeter,Met Office4 aut |
700 | 1 | a Wang, Ziweiu University of Chicago4 aut |
700 | 1 | a Zabel, Florianu World Orthopaedic Concern4 aut |
700 | 1 | a Moyer, Elisabeth J.u University of Chicago4 aut |
710 | 2 | a University of Chicagob Leibniz Association4 org |
773 | 0 | t Geoscientific Model Developmentd : Copernicus GmbHg 13:9, s. 3995-4018q 13:9<3995-4018x 1991-959Xx 1991-9603 |
856 | 4 | u http://dx.doi.org/10.5194/gmd-13-3995-2020x freey FULLTEXT |
856 | 4 | u https://gmd.copernicus.org/articles/13/3995/2020/gmd-13-3995-2020.pdf |
856 | 4 8 | u https://lup.lub.lu.se/record/30898cc7-7e06-4d93-b9cb-8ac85321ce54 |
856 | 4 8 | u https://doi.org/10.5194/gmd-13-3995-2020 |
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