Leaf area index (LAI) is an essential indicator of crop development and growth. For many
agricultural applications, satellite-based LAI estimates at the farm-level often require near …

The global climate change-induced advanced spring green-up dates (GUDs) of vegetation
in the past decades have been well documented. However, anthropogenic effects on GUDs …

The CO2 fertilization effect is a major source of uncertainty in crop models for future yield
forecasts, but coordinated efforts to determine the mechanisms of this uncertainty have been …

Conventional process-based crop simulation models and agro-land surface models require
numerous forcing variables and input parameters. The regional application of these crop …

Ozone is an important air pollutant that affects growth, transpiration, and water use efficiency
(WUE) in plants. Integrated models of photosynthesis (A n) and stomatal conductance (G …

In Asia, where rice is a major crop, there is high concern about the detrimental effects of
climate change on rice productivity. Evaluating these effects, considering the country …

Global gridded crop models (GGCMs) are increasingly used for climate risk assessments
and adaptation planning in agriculture. GGCM historical simulation performance is therefore …

This study presents the results of the ERTDF S-12 project for searching an optimum
reduction scenario of the short-lived climate pollutants (SLCPs) to simultaneously mitigate …

Flooded rice paddies are important for modifying land surface energy and water budgets,
especially in Asian countries. This study incorporated shallow paddy water into the Noah …

In response to increasing global warming, extreme heat stress significantly alters
photosynthetic production. While numerous studies have investigated the temperature …