Can southern Australian rainfall decline be explained? A review of possible drivers

RC McKay, G Boschat, I Rudeva… - Wiley …, 2023 - Wiley Online Library
Southern Australia's rainfall is highly variable and influenced by factors across scales from
synoptic weather to large‐scale circulation and remote climate modes of variability …

Weather and climate extreme events in a changing climate

SI Seneviratne, X Zhang, M Adnan, W Badi… - 2021 - centaur.reading.ac.uk
Caption: Table A. 11. 2. Synthesis table summarising assessments presented in Tables 11.4-
11.21 for hot extremes (HOT EXT.), heavy precipitation (HEAVY PRECIP.), agriculture and …

Spatial based drought assessment: Where are we heading? A review on the current status and future

A Dikshit, B Pradhan, A Huete, HJ Park - Science of The Total Environment, 2022 - Elsevier
Droughts are the most spatially complex natural hazards that exert global impacts and are
further aggravated by climate change. The investigation of drought events is challenging as …

A global, continental, and regional analysis of changes in extreme precipitation

Q Sun, X Zhang, F Zwiers, S Westra… - Journal of …, 2021 - journals.ametsoc.org
This paper provides an updated analysis of observed changes in extreme precipitation
using high-quality station data up to 2018. We examine changes in extreme precipitation …

Interpretable and explainable AI (XAI) model for spatial drought prediction

A Dikshit, B Pradhan - Science of the Total Environment, 2021 - Elsevier
Accurate prediction of any type of natural hazard is a challenging task. Of all the various
hazards, drought prediction is challenging as it lacks a universal definition and is getting …

Monsoons climate change assessment

B Wang, M Biasutti, MP Byrne, C Castro… - Bulletin of the …, 2021 - journals.ametsoc.org
Monsoon rainfall has profound economic and societal impacts for more than two-thirds of the
global population. Here we provide a review on past monsoon changes and their primary …

Data-driven multi-step prediction and analysis of monthly rainfall using explainable deep learning

R He, L Zhang, AWZ Chew - Expert Systems with Applications, 2024 - Elsevier
Monthly rainfall prediction is a crucial topic for the management of water resources and
prevention of hydrological disasters. To make a multi-step monthly rainfall prediction and …

An improved SPEI drought forecasting approach using the long short-term memory neural network

A Dikshit, B Pradhan, A Huete - Journal of environmental management, 2021 - Elsevier
Droughts are slow-moving natural hazards that gradually spread over large areas and
capable of extending to continental scales, leading to severe socio-economic damage. A …

[KNIHA][B] The action plan for Australian birds 2020

ST Garnett, GB Baker - 2021 - books.google.com
The Action Plan for Australian Birds 2020 is the most comprehensive review of the status of
Australia's avifauna ever attempted. The latest in a series of action plans for Australian birds …

A simple method for simulating drought effects on plants

RM Marchin, A Ossola, MR Leishman… - Frontiers in plant …, 2020 - frontiersin.org
Drought is expected to increase in frequency and severity in many regions in the future, so it
is important to improve our understanding of how drought affects plant functional traits and …