Comparing and combining process-based crop models and statistical models with some implications for climate change

Environmental Research Letters

Volumn 12, Issue 9, 2017, Pages

  Roberts, Michael J ^a   Braun, Noah O ^b   Sinclair, Thomas R ^c   Lobell, David B ^d   Schlenker, Wolfram ^e  

^a UNIVERSITY OF HAWAII   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^c NORTH CAROLINA STATE UNIVERSITY   (United States)

^d STANFORD UNIVERSITY   (United States)

^e Columbia University ^*  (United States)

Author keywords

Agriculture; Climate impacts; Crop simulation model; Model inter comparison; Statistical model

Indexed keywords

AGRICULTURE; CLIMATE CHANGE; CROPS; STATISTICS;

CLIMATE CHANGE SCENARIOS; CLIMATE IMPACTS; CROP SIMULATION MODEL; MODEL INTER COMPARISONS; PROCESS-BASED MODELING; REPRESENTATIVE SAMPLE; STATISTICAL MODELING; VAPOR PRESSURE DEFICIT;

CLIMATE MODELS;

AGRICULTURAL MODELING; AGRICULTURE; CALIBRATION; CLIMATE CHANGE; CLIMATE MODELING; COMPARATIVE STUDY; CROP YIELD; MAIZE; NUMERICAL MODEL; SOLAR RADIATION; STATISTICAL ANALYSIS; VAPOR PRESSURE;

CORN BELT; UNITED STATES;

ZEA MAYS;

EID: 85030758045     PISSN: 17489318     EISSN: 17489326     Source Type: Journal    
DOI: 10.1088/1748-9326/aa7f33     Document Type: Article

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