Status and prospects for drought forecasting: Opportunities in artificial intelligence and hybrid physical–statistical forecasting
A AghaKouchak, B Pan… - … of the Royal …, 2022 - royalsocietypublishing.org
Despite major improvements in weather and climate modelling and substantial increases in
remotely sensed observations, drought prediction remains a major challenge. After a review …
remotely sensed observations, drought prediction remains a major challenge. After a review …
Comparative study of GCMs, RCMs, downscaling and hydrological models: a review toward future climate change impact estimation
N Chokkavarapu, VR Mandla - SN Applied Sciences, 2019 - Springer
Water resources are naturally influenced by weather, topography, geology and environment.
These factors cause difficulties in evaluating future water resources under changing climate …
These factors cause difficulties in evaluating future water resources under changing climate …
Bayesian multi-modeling of deep neural nets for probabilistic crop yield prediction
An imperative aspect of agricultural planning is accurate yield prediction. Artificial
Intelligence (AI) techniques, such as Deep Learning (DL), have been recognized as effective …
Intelligence (AI) techniques, such as Deep Learning (DL), have been recognized as effective …
Droughts, floods, and wildfires
Recent droughts and associated heat waves have reached record intensity in some regions
of the United States; however, by geographical scale and duration, the Dust Bowl era of the …
of the United States; however, by geographical scale and duration, the Dust Bowl era of the …
A novel statistical downscaling approach for analyzing daily precipitation and extremes under the impact of climate change: Application to an arid region
Statistical downscaling of daily precipitation is important for assessing the impact of climate
change. However, some issues (eg, the underestimation of extremes) limit statistical …
change. However, some issues (eg, the underestimation of extremes) limit statistical …
Catchment response to climate and land use changes in the Upper Blue Nile sub-basins, Ethiopia
The impacts of climate and land development on streamflow and water balance components
were analyzed in the Tana and Beles watersheds by using the Soil and Water Assessment …
were analyzed in the Tana and Beles watersheds by using the Soil and Water Assessment …
Multi-criteria evaluation of CMIP5 GCMs for climate change impact analysis
Climate change is expected to have severe impacts on global hydrological cycle along with
food-water-energy nexus. Currently, there are many climate models used in predicting …
food-water-energy nexus. Currently, there are many climate models used in predicting …
Accounting for model structure, parameter and input forcing uncertainty in flood inundation modeling using Bayesian model averaging
Reliability of flood stage and inundation extent predictions are affected by the performance
of a hydraulic model. However, uncertainties at all times exist in the model setup process …
of a hydraulic model. However, uncertainties at all times exist in the model setup process …
A comparative assessment of projected meteorological and hydrological droughts: elucidating the role of temperature
The changing climate and the associated future increases in temperature are expected to
have impacts on drought characteristics and hydrologic cycle. This paper investigates the …
have impacts on drought characteristics and hydrologic cycle. This paper investigates the …
Centennial drought outlook over the CONUS using NASA‐NEX downscaled climate ensemble
A Ahmadalipour, H Moradkhani… - International Journal of …, 2017 - Wiley Online Library
Drought is a natural hazard developing slowly and affecting large areas which may have
severe consequences on society and economy. Due to the effects of climate change …
severe consequences on society and economy. Due to the effects of climate change …