Ward Smith
Dados Biográficos
| ID | 6840435 |
|---|---|
| NOME | Ward Smith |
| PRENOMES | Ward |
| SOBRENOME | Smith |
| ASSINATURA | SMITH W |
| AFILIAÇÕES | Agriculture and Agri-Food Canada |
| ORCID | 0000-0001-7462-5247 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2020 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2020 |
| ÍNDICE H | 0 |
Quantifying the uncertainty introduced by internal climate variability in projections of Canadian crop production
Internal climate variability (ICV) is one of the major sources of uncertainty in climate projections, yet it is seldom quantified for projections of crop production. Our study focuses on quantifying the uncertainty due to ICV in projections of crop productions in Canada. We utilize climate scenarios from two large ensembles (LEs, CanESM2-LE and CanRCM4-LE with 25 members each) as inputs to the crop models in the Decision Support System for Agrote…
Approaches and concepts of modelling denitrification
Denitrification is a key but poorly quantified component of the N cycle. Because it is difficult to measure the gaseous (NOx, N2O, N2) and soluble (NO3) components of denitrification with sufficient intensity, models of varying scope and complexity have been developed and applied to estimate how vegetation cover, land management and environmental factors such as soil type and weather interact to control these variables. In this paper we assess th…
Sem obras proeminentes nesta página.
Quantifying the uncertainty introduced by internal climate variability in projections of Canadian crop production
Internal climate variability (ICV) is one of the major sources of uncertainty in climate projections, yet it is seldom quantified for projections of crop production. Our study focuses on quantifying the uncertainty due to ICV in projections of crop productions in Canada. We utilize climate scenarios from two large ensembles (LEs, CanESM2-LE and CanRCM4-LE with 25 members each) as inputs to the crop models in the Decision Support System for Agrote…
Approaches and concepts of modelling denitrification
Denitrification is a key but poorly quantified component of the N cycle. Because it is difficult to measure the gaseous (NOx, N2O, N2) and soluble (NO3) components of denitrification with sufficient intensity, models of varying scope and complexity have been developed and applied to estimate how vegetation cover, land management and environmental factors such as soil type and weather interact to control these variables. In this paper we assess th…
Environmental Science (2 obras) · Agricultural risk and resilience (1 obras) · Agriculture (1 obras) · Agronomy (1 obras) · Atmospheric sciences (1 obras) · Biochemical engineering (1 obras) · Biogeochemical cycle (1 obras) · Biology (1 obras) · Canola (1 obras) · Chemistry (1 obras)