Advances and gaps in the science and practice of impact‐based forecasting of droughts
A Shyrokaya, F Pappenberger… - Wiley …, 2024 - Wiley Online Library
Advances in impact modeling and numerical weather forecasting have allowed accurate
drought monitoring and skilful forecasts that can drive decisions at the regional scale. State …
drought monitoring and skilful forecasts that can drive decisions at the regional scale. State …
Uncovering the Dynamics of Multi‐Sector Impacts of Hydrological Extremes: A Methods Overview
Hydrological extremes, such as droughts and floods, can trigger a complex web of
compound and cascading impacts (CCI) due to interdependencies between coupled natural …
compound and cascading impacts (CCI) due to interdependencies between coupled natural …
Towards interpreting machine learning models for predicting soil moisture droughts
Determination of the dominant factors which affect soil moisture (SM) predictions for drought
analysis is an essential step to assess the reliability of the prediction results. However …
analysis is an essential step to assess the reliability of the prediction results. However …
Is snow drought a messenger for the upcoming severe drought period? A case study in the upper Mississippi river basin
The exacerbation of floods and the extension of droughts, attributed to climate change and
human-induced factors, are posing a substantial risk to communities by causing water …
human-induced factors, are posing a substantial risk to communities by causing water …
Homogenized gridded dataset for drought and hydrometeorological modeling for the continental United States
We present a novel data set for drought in the continental US (CONUS) built to enable
computationally efficient spatio-temporal statistical and probabilistic models of drought. We …
computationally efficient spatio-temporal statistical and probabilistic models of drought. We …
[HTML][HTML] Indicator-to-impact links to help improve agricultural drought preparedness in Thailand
M Tanguy, M Eastman, E Magee… - … Hazards and Earth …, 2023 - nhess.copernicus.org
Droughts in Thailand are becoming more severe due to climate change. Developing a
reliable drought monitoring and early warning system (DMEWS) is essential to strengthen a …
reliable drought monitoring and early warning system (DMEWS) is essential to strengthen a …
Proposing a new framework for analyzing the severity of meteorological drought
The quantitative description of meteorological drought from various geographical locations
and indicators is crucial for early drought warning to avoid its negative impacts. Therefore …
and indicators is crucial for early drought warning to avoid its negative impacts. Therefore …
Subseasonal forecast skill of evaporative demand, soil moisture, and flash drought onset from two dynamic models over the contiguous United States
K Lesinger, D Tian, H Wang - Journal of Hydrometeorology, 2024 - journals.ametsoc.org
Flash droughts are rapid developing subseasonal climate extreme events that are
manifested as suddenly decreased soil moisture, driven by increased evaporative demand …
manifested as suddenly decreased soil moisture, driven by increased evaporative demand …
Applying Machine Learning for Threshold Selection in Drought Early Warning System
This study investigates the relationship between the Normalized Difference Vegetation Index
(NDVI) and meteorological drought category to identify NDVI thresholds that correspond to …
(NDVI) and meteorological drought category to identify NDVI thresholds that correspond to …
Australia's Tinderbox Drought: An extreme natural event likely worsened by human-caused climate change
We examine the characteristics and causes of southeast Australia's Tinderbox Drought
(2017 to 2019) that preceded the Black Summer fire disaster. The Tinderbox Drought was …
(2017 to 2019) that preceded the Black Summer fire disaster. The Tinderbox Drought was …