On the public citation graph
Examining the Interaction of Growing Crops with Local Climate Using a Coupled Crop–Climate Model
0 signed · 76 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/joc.1081openalex-snapshot
Climate impacts on Indian agriculture
inferredcites →https://doi.org/10.1002/qj.49710142802openalex-snapshot
Dynamics of deserts and drought in the Sahel
inferredcites →https://doi.org/10.1007/bf00209609openalex-snapshot
A 1951–80 global land precipitation climatology for the evaluation of general circulation models
inferredcites →https://doi.org/10.1007/s00382-003-0366-9openalex-snapshot
An annual cycle of vegetation in a GCM. Part I: implementation and impact on evaporation
inferredcites →https://doi.org/10.1007/s00382-003-0367-8openalex-snapshot
An annual cycle of vegetation in a GCM. Part II: global impacts on climate and hydrology
inferredcites →https://doi.org/10.1007/s00382-004-0421-1openalex-snapshot
Influence of vegetation on the local climate and hydrology in the tropics: sensitivity to soil parameters
inferredcites →https://doi.org/10.1007/s00382-004-0504-zopenalex-snapshot
Vegetation and climate variability: a GCM modelling study
inferredcites →https://doi.org/10.1007/s003820050276openalex-snapshot
The impact of new land surface physics on the GCM simulation of climate and climate sensitivity
inferredcites →https://doi.org/10.1016/0378-4290(80)90042-8openalex-snapshot
Phasic development in field crops I. Thermal response in the seedling phase
inferredcites →https://doi.org/10.1016/j.agrformet.2004.01.002openalex-snapshot
Design and optimisation of a large-area process-based model for annual crops
inferredcites →https://doi.org/10.1016/j.agrformet.2004.08.005openalex-snapshot
Agricultural impacts of large-scale variability of the West African monsoon
inferredcites →https://doi.org/10.1029/2004jd005160openalex-snapshot
Impact of agricultural practice on regional climate in a coupled land surface mesoscale model
inferredcites →https://doi.org/10.1029/98gb02512openalex-snapshot
Characterizing patterns of global land use: An analysis of global croplands data
inferredcites →https://doi.org/10.1073/pnas.0600057103openalex-snapshot
The effect of climate variation on agro-pastoral production in Africa
inferredcites →https://doi.org/10.1073/pnas.0700144104openalex-snapshot
Empirical evidence for a recent slowdown in irrigation-induced cooling
inferredcites →https://doi.org/10.1111/j.1365-2486.2006.01274.xopenalex-snapshot
Development and assessment of a coupled crop–climate model
inferredcites →https://doi.org/10.1111/j.1365-2486.2006.01305.xopenalex-snapshot
Modelling the role of agriculture for the 20th century global terrestrial carbon balance
inferredcites →https://doi.org/10.1126/science.286.5444.1537openalex-snapshot
Enhancement of Interdecadal Climate Variability in the Sahel by Vegetation Interaction
inferredcites →https://doi.org/10.1175/1087-3562(2004)8<1:iciagb>2.0.co;2openalex-snapshot
Including Croplands in a Global Biosphere Model: Methodology and Evaluation at Specific Sites
inferredcites →https://doi.org/10.1175/1520-0442(1992)005<0532:eaodsf>2.0.co;2openalex-snapshot
Empirical Analysis of Dry Spells for Agricultural Applications in West Africa
inferredcites →https://doi.org/10.1175/1520-0442(1996)009<1497:iotdpi>2.0.co;2openalex-snapshot
Impacts of Tropical Deforestation. Part I: Process Analysis of Local Climatic Change
inferredcites →https://doi.org/10.1175/1520-0442(2001)014<0692:iteosp>2.0.co;2openalex-snapshot
Investigating the Effect of Seasonal Plant Growth and Development in Three-Dimensional Atmospheric Simulations. Part I: Simulation of Surface Fluxes over the Growing Season
inferredcites →https://doi.org/10.1175/1520-0442(2001)014<0711:iteosp>2.0.co;2openalex-snapshot
Investigating the Effect of Seasonal Plant Growth and Development in Three-Dimensional Atmospheric Simulations. Part II: Atmospheric Response to Crop Growth and Development
inferredcites →https://doi.org/10.1175/1520-0450(2003)042<0175:tacswa>2.0.co;2openalex-snapshot
Toward a Combined Seasonal Weather and Crop Productivity Forecasting System: Determination of the Working Spatial Scale
inferredcites →https://doi.org/10.1175/1520-0493(2004)132<0405:tiooww>2.0.co;2openalex-snapshot
The Impact of Oklahoma's Winter Wheat Belt on the Mesoscale Environment
inferredcites →https://doi.org/10.1175/1525-7541(2003)004<0530:eroshi>2.0.co;2openalex-snapshot
Explicit Representation of Subgrid Heterogeneity in a GCM Land Surface Scheme
inferredcites →https://doi.org/10.1175/3218.1openalex-snapshot
Simulating Springtime Temperature Patterns in the Community Atmosphere Model Coupled to the Community Land Model Using Prognostic Leaf Area
inferredcites →https://doi.org/10.1175/jhm445.1openalex-snapshot
Weak Land–Atmosphere Coupling Strength in HadAM3: The Role of Soil Moisture Variability
inferredcites →https://doi.org/10.1175/jhm510.1openalex-snapshot
GLACE: The Global Land–Atmosphere Coupling Experiment. Part I: Overview
inferredcites →https://doi.org/10.1175/jhm511.1openalex-snapshot
GLACE: The Global Land–Atmosphere Coupling Experiment. Part II: Analysis
inferredcites →https://doi.org/10.1201/9781482269765-18openalex-snapshot
Simulation of Crop Growth: CROPGRO Model
inferredcites →https://doi.org/10.1256/qj.02.134openalex-snapshot
Linking boundary‐layer variability with convection: A case‐study from JET2000
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4836983openalex-extracted
Perennial Biomass Crops on Marginal Land Improves Us Precipitation
inferred← citeshttps://doi.org/10.1002/2013jd020111openalex-snapshot
Regional climate response to land surface changes after harvest in the North China Plain under present and possible future climate conditions
inferred← citeshttps://doi.org/10.1002/2014ms000311openalex-snapshot
Dependency of parameter values of a crop model on the spatial scale of simulation
inferred← citeshttps://doi.org/10.1002/2016jd025597openalex-snapshot
Noah‐MP‐Crop: Introducing dynamic crop growth in the Noah‐MP land surface model
inferred← citeshttps://doi.org/10.1002/2016ms000749openalex-snapshot
Representing agriculture in E arth S ystem M odels: Approaches and priorities for development
inferred← citeshttps://doi.org/10.1007/978-94-007-6692-1_8openalex-snapshot
Prediction from Weeks to Decades
inferred← citeshttps://doi.org/10.1007/s00376-018-8160-0openalex-snapshot
Coupling of a Regional Climate Model with a Crop Development Model and Evaluation of the Coupled Model across China
inferred← citeshttps://doi.org/10.1007/s00382-015-2543-zopenalex-snapshot
Crop growth and irrigation interact to influence surface fluxes in a regional climate-cropland model (WRF3.3-CLM4crop)
inferred← citeshttps://doi.org/10.1007/s11442-013-1029-3openalex-snapshot
A review on statistical models for identifying climate contributions to crop yields
inferred← citeshttps://doi.org/10.1007/s40808-018-0414-4openalex-snapshot
The DSSAT model simulations of soil moisture and evapotranspiration over central India and comparison with remotely-sensed data
inferred← citeshttps://doi.org/10.1007/s42106-022-00193-5openalex-snapshot
Sensitivities of Wheat and Maize Productivity in Kazakhstan to Future Climate Change Scenarios
inferred← citeshttps://doi.org/10.1016/j.agrformet.2010.09.011openalex-snapshot
Simulating dynamic crop growth with an adapted land surface model – JULES-SUCROS: Model development and validation
inferred← citeshttps://doi.org/10.1016/j.agrformet.2012.04.007openalex-snapshot
Calibration and bias correction of climate projections for crop modelling: An idealised case study over Europe
inferred← citeshttps://doi.org/10.1016/j.agrformet.2018.06.023openalex-snapshot
Coupling the land surface model Noah-MP with the generic crop growth model Gecros: Model description, calibration and validation
inferred← citeshttps://doi.org/10.1016/j.agrformet.2020.108217openalex-snapshot
Cross-scale evaluation of dynamic crop growth in WRF and Noah-MP-Crop
inferred← citeshttps://doi.org/10.1016/j.agsy.2016.05.014openalex-snapshot
Brief history of agricultural systems modeling
inferred← citeshttps://doi.org/10.1016/j.agsy.2016.09.021openalex-snapshot
Toward a new generation of agricultural system data, models, and knowledge products: State of agricultural systems science
inferred← citeshttps://doi.org/10.1016/j.atmosres.2011.05.001openalex-snapshot
On the suitability of regional climate models for reconstructing climatologies
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2018.03.005openalex-snapshot
Evaluation of CLM-Crop for maize growth simulation over Northeast China
inferred← citeshttps://doi.org/10.1016/j.rse.2011.09.031openalex-snapshot
Evaluation of the predicted error of the soil moisture retrieval from C-band SAR by comparison against modelled soil moisture estimates over Australia
inferred← citeshttps://doi.org/10.1017/cbo9781107339200.026openalex-snapshot
Terrestrial Ecosystems and Earth System Models
inferred← citeshttps://doi.org/10.1029/2017ms001253openalex-snapshot
Improving Representation of Crop Growth and Yield in the Dynamic Land Ecosystem Model and Its Application to China
inferred← citeshttps://doi.org/10.1029/2022jg007187openalex-snapshot
The Impact of Crop Rotation and Spatially Varying Crop Parameters in the E3SM Land Model (ELMv2)
inferred← citeshttps://doi.org/10.1080/01431161.2010.483491openalex-snapshot
Land cover characterization for hydrological modelling using thermal infrared emissivities
inferred← citeshttps://doi.org/10.1080/29931495.2026.2682696openalex-snapshot
Enhancing climate-crop models for actionable agricultural climate change adaptation
inferred← citeshttps://doi.org/10.1088/1748-9326/8/2/024001openalex-snapshot
Evidence for a climate signal in trends of global crop yield variability over the past 50 years
inferred← citeshttps://doi.org/10.1088/1748-9326/9/6/061002openalex-snapshot
Crop heat stress in the context of Earth System modeling
inferred← citeshttps://doi.org/10.1111/gcbb.12937openalex-snapshot
Perennial biomass crops on marginal land improve both regional climate and agricultural productivity
inferred← citeshttps://doi.org/10.1175/jcli-d-11-00446.1openalex-snapshot
Interactive Crop Management in the Community Earth System Model (CESM1): Seasonal Influences on Land–Atmosphere Fluxes
inferred← citeshttps://doi.org/10.2134/agronj2011.0250openalex-snapshot
A Distributed Cotton Growth Model Developed from GOSSYM and Its Parameter Determination
inferred← citeshttps://doi.org/10.22004/ag.econ.56193openalex-snapshot
Climate change and Hunger: Responding to the Challenge
inferred← citeshttps://doi.org/10.25560/24809openalex-snapshot
Modelling land-use and climate change impacts on hydrology: the Upper Ganges river basin
inferred← citeshttps://doi.org/10.30534/ijatcse/2021/1061032021openalex-snapshot
Understanding the Agricultural Systems Modeling: A Review
inferred← citeshttps://doi.org/10.4148/2475-7772.1475openalex-snapshot
IRRIGATED AND RAINFED CROPS Zea mays L. (MAIZE) AND Glycine max (SOYBEAN) ACTING AS A SOURCE OR SINK FOR ATMOSPHERIC WARMING AT MEAD, NEBRASKA
inferred← citeshttps://doi.org/10.5194/bg-14-3309-2017openalex-snapshot
Bivariate return periods of temperature and precipitation explain a large fraction of European crop yields
inferred← citeshttps://doi.org/10.5194/gmd-18-8927-2025openalex-snapshot
Development of the global maize yield model MATCRO-Maize version 1.0
inferred← citeshttps://doi.org/10.5194/gmd-6-495-2013openalex-snapshot
Modeling agriculture in the Community Land Model
inferred← citeshttps://doi.org/10.5194/gmd-9-4133-2016openalex-snapshot
A land surface model combined with a crop growth model for paddy rice (MATCRO-Rice v. 1) – Part 1: Model description
inferred← citeshttps://doi.org/10.5194/gmd-9-4155-2016openalex-snapshot
A land surface model combined with a crop growth model for paddy rice (MATCRO-Rice v. 1) – Part 2: Model validation
inferred← citeshttps://doi.org/10.5194/gmd-9-857-2016openalex-snapshot
ORCHIDEE-CROP (v0), a new process-based agro-land surface model: model description and evaluation over Europe
inferred← citeshttps://doi.org/10.5194/hess-18-4223-2014openalex-snapshot
Coupling a land-surface model with a crop growth model to improve ET flux estimations in the Upper Ganges basin, India
inferred← citeshttps://doi.org/10.54386/jam.v24i4.1892openalex-snapshot
Impact of dynamic vegetation on near-surface meteorology using a newly developed WRF_NOAHMP_SUCROS coupled model
inferred← citeshttps://doi.org/10.5897/ajest2013.1553openalex-snapshot
Sustainable development in a developing economy: Challenges and prospects
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.