Hamze Dokoohaki
Hamze Dokoohaki
Adjunct Professor of Digital Agriculture
Geverifieerd e-mailadres voor illinois.edu - Homepage
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Coupling and testing a new soil water module in DSSAT CERES-Maize model for maize production under semi-arid condition
H Dokoohaki, M Gheysari, SF Mousavi, S Zand-Parsa, FE Miguez, ...
Agricultural Water Management 163, 90-99, 2016
Global land-use and carbon emission implications from biochar application to cropland in the United States
J Dumortier, H Dokoohaki, A Elobeid, DJ Hayes, D Laird, FE Miguez
Journal of Cleaner Production 258, 120684, 2020
Assessing the biochar effects on selected physical properties of a sandy soil: an analytical approach
H Dokoohaki, FE Miguez, D Laird, R Horton, AS Basso
Communications in Soil Science and Plant Analysis 48 (12), 1387-1398, 2017
Flow and Sediment Transport Modeling in Rivers
M Fakhri, H Dokohaki, S Eslamian, I Fazeli Farsani, MR Farzaneh
Handbook of Engineering Hydrology: Modeling, Climate Change, and Variability …, 2014
Regional techno‐economic and life‐cycle analysis of the pyrolysis‐bioenergy‐biochar platform for carbon‐negative energy
W Li, J Dumortier, H Dokoohaki, FE Miguez, RC Brown, D Laird, ...
Biofuels, Bioproducts and Biorefining 13 (6), 1428-1438, 2019
A comprehensive uncertainty quantification of large-scale process-based crop modeling frameworks
H Dokoohaki, MS Kivi, R Martinez-Feria, FE Miguez, G Hoogenboom
Environmental Research Letters 16 (8), 084010, 2021
Development of a data-assimilation system to forecast agricultural systems: A case study of constraining soil water and soil nitrogen dynamics in the APSIM model
MS Kivi, B Blakely, M Masters, CJ Bernacchi, FE Miguez, H Dokoohaki
Science of The Total Environment 820, 153192, 2022
Nonlinear Regression Models and Applications
F Miguez, S Archontoulis, H Dokoohaki
Applied Statistics in Agricultural, Biological, and Environmental Sciences, 2017
Use of inverse modelling and Bayesian optimization for investigating the effect of biochar on soil hydrological properties
H Dokoohaki, FE Miguez, S Archontoulis, D Laird
Agricultural water management 208, 268-274, 2018
Assessment of future climate classification on Urmia Lake basin under effect of climate change
A Zamani Nuri, MR Farzaneh, M Fakhri, H Dokoohaki, S Eslamian, ...
International journal of hydrology science and technology 3 (2), 128-140, 2013
Where should we apply biochar?
H Dokoohaki, FE Miguez, D Laird, J Dumortier
Environmental Research Letters 14 (4), 044005, 2019
Effects of different irrigation regimes on soil moisture availability evaluated by CSM-CERES-Maize model under semi-arid condition
H Dokoohaki, M Gheysari, SF Mousavi, G Hoogenboom
Ecohydrology & Hydrobiology 17 (3), 207-216, 2017
Applying the CSM-CERES-Wheat model for rainfed wheat with specified soil characteristic in undulating area in Iran
H Dokoohaki, M Gheysari, A Mehnatkesh, S Ayoubi
Archives of Agronomy and Soil Science 61 (9), 1231-1245, 2015
Development of an open-source regional data assimilation system in PEcAn v. 1.7. 2: Application to carbon cycle reanalysis across the contiguous US using SIPNET
H Dokoohaki, BD Morrison, A Raiho, SP Serbin, K Zarada, L Dramko, ...
Geoscientific Model Development 15 (8), 3233-3252, 2022
Commentary on ‘Current economic obstacles to biochar use in agriculture and climate change mitigation’regarding uncertainty, context-specificity and alternative value sources
R Fidel, S Archontoulis, B Babcock, RC Brown, H Dokoohaki, D Hayes, ...
Carbon Management 8 (2), 215-217, 2017
Estimation soil water content under deficit irrigation by using DSSAT
H Dokoohaki, M Gheisari, SF Mousavi, SM Mirlatifi
Water and Irrigation Management 2 (1), 1-14, 2012
A novel model–data fusion approach to terrestrial carbon cycle reanalysis across the contiguous US using SIPNET and PEcAn state data assimilation system v. 1.7. 2
H Dokoohaki, BD Morrison, A Raiho, SP Serbin, M Dietze
Copernicus GmbH, 2022
Applying the DSSAT model to determine the yield response factor under different growth stage
H Dokoohaki, M Gheysari, M Karimi Jafari
Third National Conference on Comprehensive Water Resources Management. Sari …, 2012
A comprehensive assessment of in situ and remote sensing soil moisture data assimilation in the APSIM model for improving agricultural forecasting across the US Midwest
M Kivi, N Vergopolan, H Dokoohaki
Hydrology and Earth System Sciences 27 (5), 1173-1199, 2023
Linking remote sensing with APSIM through emulation and Bayesian optimization to improve yield prediction
H Dokoohaki, T Rai, M Kivi, P Lewis, JL Gómez-Dans, F Yin
Remote Sensing 14 (21), 5389, 2022
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