The times of this event are in CAT

Level: Intermediate

Description: 

We will provide training on different aspects of DNDC modelling. It will be both theoretical and practical training. The DeNitrification-Decomposition (DNDC) model is a computer simulation model of carbon and nitrogen biogeochemistry in agro-ecosystems. There are two components of the model. Sub-models on soil climate, crop growth, and decomposition, which estimate the soil redox potential, ph, temperature, and moisture, form the first component. The second component contains sub-models on nitrification, denitrification, and fermentation, which can predict emissions of various gases like methane (CH4), nitrous oxide (N2O), carbon dioxide (CO2), and ammonia (NH3). The DNDC model can simulate crop yields, soil organic and inorganic content levels, nitrogen leaching, and CO2, CH4, and NO2 emissions. To simulate the parameters mentioned above for a particular scenario, the user would need to provide input data on four main ecological drivers of the DNDC model: climate, soil, vegetation, and management practices. The objective of these simulations is to support the policymakers in taking necessary action to achieve a nation's vision of becoming a net-zero emissions country by 2070.

Preparation materials 

We recommend that you visit the resources prior to attending the session. 

• User's Guide for the DNDC Model (Highly recommended)  
• Field validation of the DNDC model for greenhouse gas emissions in East Asian cropping systems.  
• First 20 years of DNDC (DeNitrification DeComposition): model evolution 
• Modeling greenhouse gas emissions from rice‐based production systems: Sensitivity and upscaling
• Greenhouse gas emissions from Indian rice fields: calibration and upscaling using the DNDC model

Speakers

• Suresh Babu (International Food Policy Research Institute, Washington D.C.) 
• Ruthwik Kuppachi (University of Maryland)
• Mousumi K. Bhattacharjee (Tata Institute of Social Sciences)

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