Uncertainty in climate change impact studies for irrigated maize cropping systems in southern Spain
This study investigates the main drivers of uncertainties in simulated irrigated maize yield under historical conditions as well as …
Probabilistic modeling of crop-yield loss risk under drought: a spatial showcase for sub-Saharan Africa
Assessing the risk of yield loss in African drought-affected regions is key to identify feasible solutions for stable crop production. …
Improving the simulation of permanent grasslands across Germany by using multi-objective uncertainty-based calibration of plant-water dynamics
The dynamics of grassland ecosystems are highly complex due to multifaceted interactions among their soil, water, and vegetation …
Impact of crop management and environment on the spatio-temporal variance of potato yield at regional scale
The uncertainties associated with crop model inputs can affect the spatio-temporal variance of simulated yields, particularly under …
Mapping Crop Types and Cropping Systems in Nigeria with Sentinel-2 Imagery
Reliable crop type maps from satellite data are an essential prerequisite for quantifying crop growth, health, and yields. However, …
Crop growth and soil water fluxes at erosion-affected arable sites: A model inter-comparison based on weighing-lysimeter observations
Four lysimeters with different soil types were used that cover the range of soil variability in an erosion-affected hummocky …
Modelling climate change impacts on maize yields under low nitrogen input conditions in sub‐Saharan Africa
We evaluated the impact of varying [CO2], temperature and rainfall conditions on maize yield, for different nitrogen (N) inputs (0, 80, …
Effects of soil- and climate data aggregation on simulated potato yield and irrigation water requirement
We quantify the data aggregation effects on potato yield and irrigation requirements.
A quantitative analysis for determining socio-economic factors conferring crop drought vulnerability
we linked maize drought vulnerability index to socioeconomic factors conferring droughts at country level and tried to identify which …
Reducing computational costs of automatic calibration of rainfall-runoff models: Meta-models or high-performance computers?
We compared the performance of the two approaches applied to overcome the computational costs of automatic calibration of the HEC-HMS …
Spatial assessment of maize physical drought vulnerability in sub-Saharan Africa: Linking drought exposure with crop failure
Crop yields exhibit known responses to droughts. However, quantifying crop drought vulnerability is often not straightforward, because …
Drought vulnerability assessment of maize in Sub-Saharan Africa: Insights from physical and social perspectives
Drought as a slow-onset phenomenon inflicts important losses to agriculture where the degree of vulnerability depends not only on …
Adaption to climate change: a case study of two agricultural systems from Kenya
This study contributes to a better understanding of climate change adaptation by investigating different farming systems and by …
Assessing the Uncertainty of Multiple Input Datasets in Prediction of Water Resources Components
A large number of local and global databases for soil, land use, crops, and climate are now available from different sources, which …
A toolkit for climate change analysis and pattern recognition for extreme weather conditions e Case study: California-Baja California Peninsula
This paper describes the development of a Climate Change Toolkit (CCT) to perform tasks needed in a climate change study plus …
Multilevel Drought Hazard Assessment under Climate Change Scenarios in Semi-arid Regions - A Case Study of the Karkheh River Basin in Iran
To highlight drought regional differences at multiple levels of hydrological cycle, we utilized historic and future of meteorological, …
Modelling the effect of riparian vegetation restoration on sediment transport in a human-impacted Brazilian catchment
We used the Soil andWater Assessment Tool (SWAT) to simulate river discharge and sediment exports in a typical human impacted Brazilian …
Uncertainty-based auto-calibration for crop yield – the EPIC+ procedure for a case study in Sub-Saharan Africa
Process-based crop models are increasingly used to assess the effects of different agricultural management practices on crop yield. …
Identification of spatiotemporal patterns of biophysical droughts in semi-arid region – a case study of the Karkheh river basin in Iran
In this paper, fuzzy set theory has been used to combine different objective functions and convert the multi-objective model to a …
Automatic Calibration of Conceptual HEC-HMS Using Multi-Objective Fuzzy Optimal Models
In this paper, fuzzy set theory has been used to combine different objective functions and convert the multi-objective model to a …
Automatic Calibration of HEC-HMS Using Single-objective and Multi-objective PSO Algorithms
This study presents single‐objective and multi‐objective particle swarm optimization (PSO) algorithms for automatic calibration of …
Uncertainty-based automatic calibration of HEC-HMS model using sequential uncertainty fitting approach
This study presents the application of an uncertainty-based technique for automatic calibration of the well-known HEC-HMS hydrologic …
