The Global Gridded Crop Model Intercomparison: data and modeling protocols for Phase 1 (v1.0)

被引：113

作者：

Elliott, J. ^{[1
,2
]}

Mueller, C. ^{[3
]}

Deryng, D. ^{[4
]}

Chryssanthacopoulos, J. ^{[5
]}

Boote, K. J. ^{[6
]}

Buechner, M. ^{[3
]}

Foster, I. ^{[1
,2
]}

Glotter, M. ^{[7
]}

Heinke, J. ^{[3
,8
,15
]}

Iizumi, T. ^{[9
]}

Izaurralde, R. C. ^{[10
]}

Mueller, N. D. ^{[11
]}

Ray, D. K. ^{[12
]}

Rosenzweig, C. ^{[13
]}

Ruane, A. C. ^{[13
]}

Sheffield, J. ^{[14
]}

机构：

[1] Univ Chicago, Chicago, IL 60637 USA

[2] Argonne Natl Lab, Computat Inst, Chicago, IL USA

[3] Potsdam Inst Climate Impact Res, Potsdam, Germany

[4] Univ E Anglia, Tyndall Ctr, Norwich NR4 7TJ, Norfolk, England

[5] Columbia Univ, Ctr Climate Syst Res, New York, NY USA

[6] Univ Florida, Dept Agron, Gainesville, FL 32611 USA

[7] Univ Chicago, Dept Geophys Sci, Chicago, IL 60637 USA

[8] Int Livestock Res Inst, Nairobi, Kenya

[9] Natl Inst Agroenvironm Sci, Tsukuba, Ibaraki 305, Japan

[10] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA

[11] Harvard Univ, Ctr Environm, Cambridge, MA 02138 USA

[12] Univ Minnesota, Inst Environm, St Paul, MN 55108 USA

[13] NASA, Goddard Inst Space Studies, New York, NY 10025 USA

[14] Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA

[15] CSIRO, St Lucia, Qld 4067, Australia

来源：

GEOSCIENTIFIC MODEL DEVELOPMENT | 2015年 / 8卷 / 02期

基金：

美国国家科学基金会;

关键词：

LAND-SURFACE MODEL; CLIMATE-CHANGE; HIGH-RESOLUTION; CARBON; YIELD; WATER; AGRICULTURE; SIMULATION; GROWTH; IMPLEMENTATION;

D O I：

10.5194/gmd-8-261-2015

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

We present protocols and input data for Phase 1 of the Global Gridded Crop Model Intercomparison, a project of the Agricultural Model Intercomparison and Improvement Project (AgMIP). The project includes global simulations of yields, phenologies, and many land-surface fluxes using 12-15 modeling groups for many crops, climate forcing data sets, and scenarios over the historical period from 1948 to 2012. The primary outcomes of the project include (1) a detailed comparison of the major differences and similarities among global models commonly used for large-scale climate impact assessment, (2) an evaluation of model and ensemble hindcasting skill, (3) quantification of key uncertainties from climate input data, model choice, and other sources, and (4) a multi-model analysis of the agricultural impacts of large-scale climate extremes from the historical record.

引用

页码：261 / 277

页数：17

共 59 条

[1]

Asseng S, 2013, NAT CLIM CHANGE, V3, P827, DOI [10.1038/nclimate1916, 10.1038/NCLIMATE1916]

[2] Pan-European crop modelling with EPIC: Implementation, up-scaling and regional crop yield validation [J].

Balkovic, Juraj ;

van der Velde, Marijn ;

Schmid, Erwin ;

Skalsky, Rastislav ;

Khabarov, Nikolay ;

Obersteiner, Michael ;

Stuermer, Bernhard ;

Xiong, Wei .

AGRICULTURAL SYSTEMS, 2013, 120 :61-75

[3]

BOLTON D, 1980, MON WEATHER REV, V108, P1046, DOI 10.1175/1520-0493(1980)108<1046:TCOEPT>2.0.CO

[4]

[5] Modelling the role of agriculture for the 20th century global terrestrial carbon balance [J].

Bondeau, Alberte ;

Smith, Pascalle C. ;

Zaehle, Soenke ;

Schaphoff, Sibyll ;

Lucht, Wolfgang ;

Cramer, Wolfgang ;

Gerten, Dieter ;

Lotze-Campen, Hermann ;

Mueller, Christoph ;

Reichstein, Markus ;

Smith, Benjamin .

GLOBAL CHANGE BIOLOGY, 2007, 13 (03) :679-706

[6] Global water demand and supply projections part - 1. A modeling approach [J].

Cai, XM ;

Rosegrant, MW .

WATER INTERNATIONAL, 2002, 27 (02) :159-169

[7]

Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/NCLIMATE2153, 10.1038/nclimate2153]

[8] Design and optimisation of a large-area process-based model for annual crops [J].

Challinor, AJ ;

Wheeler, TR ;

Craufurd, PQ ;

Slingo, JM ;

Grimes, DIF .

AGRICULTURAL AND FOREST METEOROLOGY, 2004, 124 (1-2) :99-120

[9] Coupling the Soil-Vegetation-Atmosphere-Transfer Scheme ORCHIDEE to the agronomy model STICS to study the influence of croplands on the European carbon and water budgets [J].

de Noblet-Ducoudré, N ;

Gervois, S ;

Ciais, P ;

Viovy, N ;

Brisson, N ;

Seguin, B ;

Perrier, A .

AGRONOMIE, 2004, 24 (6-7) :397-407

[10] The ERA-Interim reanalysis: configuration and performance of the data assimilation system [J].

Dee, D. P. ;

Uppala, S. M. ;

Simmons, A. J. ;

Berrisford, P. ;

Poli, P. ;

Kobayashi, S. ;

Andrae, U. ;

Balmaseda, M. A. ;

Balsamo, G. ;

Bauer, P. ;

Bechtold, P. ;

Beljaars, A. C. M. ;

van de Berg, L. ;

Bidlot, J. ;

Bormann, N. ;

Delsol, C. ;

Dragani, R. ;

Fuentes, M. ;

Geer, A. J. ;

Haimberger, L. ;

Healy, S. B. ;

Hersbach, H. ;

Holm, E. V. ;

Isaksen, L. ;

Kallberg, P. ;

Koehler, M. ;

Matricardi, M. ;

McNally, A. P. ;

Monge-Sanz, B. M. ;

Morcrette, J. -J. ;

Park, B. -K. ;

Peubey, C. ;

de Rosnay, P. ;

Tavolato, C. ;

Thepaut, J. -N. ;

Vitart, F. .

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2011, 137 (656) :553-597

← 1 2 3 4 5 6 →