Ejemplares similares: Evaluating the effects of climate change on thermal bioclimatic indices in a tropical region using climate projections from the bias-corrected CMIP6 model
- Assessment of climate change impact on thermal bioclimatic indicators in a tropical region with the climate projections from CMIP6 modele dynamics
- Thermal bioclimatic transformations in the coastal regions of Ganges delta: insights from CMIP6 multi-model ensemble
- High-resolution and bias-corrected CMIP5 projections for climate change impact assessments
- Methods of bias correction
- Bias-correction in the CCAFS-Climate Portal: A description of methodologies
- CCAFS-CMIP5 Delta Method Downscaling for monthly averages and bioclimatic indices of four RCPs
Autor: Kamruzzaman, Mohammad
- Assessment of climate change impact on thermal bioclimatic indicators in a tropical region with the climate projections from CMIP6 modele dynamics
- Thermal bioclimatic transformations in the coastal regions of Ganges delta: insights from CMIP6 multi-model ensemble
- Impact of rainfall variability and extremes on crop intensification and diversification in the coastal region of Bangladesh
- Advancing food security: rice yield estimation framework using time-series satellite data & machine learning
- Genetic control of root architectural traits under drought stress in spring barley (Hordeum vulgare L.)
- Evaluating the effects of climate change on thermal bioclimatic indices in a tropical region using climate projections from the bias-corrected CMIP6 model
Autor: Islam, H. M. Touhidul
- Assessment of climate change impact on thermal bioclimatic indicators in a tropical region with the climate projections from CMIP6 modele dynamics
- Thermal bioclimatic transformations in the coastal regions of Ganges delta: insights from CMIP6 multi-model ensemble
- Impact of rainfall variability and extremes on crop intensification and diversification in the coastal region of Bangladesh
- Evaluating the effects of climate change on thermal bioclimatic indices in a tropical region using climate projections from the bias-corrected CMIP6 model