Results 51 to 60 of about 31,043 (232)

Drought intensity based on SPEI value.

open access: yes, 2023
Droughts and prevailing arid conditions have a significant impacts on the natural environment, agriculture, and human life. To analyze the regional characteristics of drought in Baluchistan province, the aridity index (AI) and standardized potential ...
Muhammad Rafiq (4043321)   +5 more
core   +1 more source

Spatiotemporal evaluation of drought trend during 1979–2019 in seven climatic zones of Bangladesh

open access: yesHeliyon, 2021
Evaluation of drought is essential and useful to eradicate climate change impact. Therefore, this study aims to explore the spatiotemporal drought intensity trend in seven climatic zones of Bangladesh during 1979–2019.
Md. Naimur Rahman   +2 more
doaj   +1 more source

Tugas SPEI Musdalifah

open access: yes, 2021
Tugas artikel sejarah pemikiran ekonomi ...
openaire   +1 more source

Beyond Prediction: Data, Baselines, Explanation, and Causation in Machine Learning for Food Insecurity

open access: yesFood Safety and Health, EarlyView.
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob   +4 more
wiley   +1 more source

Genome‐wide identification of the bZIP transcription factor family in sainfoin (Onobrychis viciifolia Scop.) and expression profiles in response to aluminum stress

open access: yesGrassland Research, EarlyView.
Sainfoin is an important forage legume with potential for cultivation in stressful environments, but its molecular response to aluminum toxicity remains unclear. This study identified 236 basic leucine zipper (bZIP) transcription factor genes in sainfoin and analyzed their evolutionary features and regulatory potential.
Peng Li   +5 more
wiley   +1 more source

Climatic Drivers of the Area Burned by Winter Wildfires in Northern Italy

open access: yesInternational Journal of Climatology, EarlyView.
This study investigates winter wildfires occurring between November and April in northern Italy over the period 2008–2022. By integrating high‐resolution burned‐area data with gridded climatic indices derived from 150 weather stations, it identifies spatial and temporal wildfire patterns, highlights the most fire‐prone mountain areas through pixel ...
Alice Baronetti   +2 more
wiley   +1 more source

Análisis de sequías históricas a través de los impactos derivados

open access: yesIngeniería del Agua, 2020
A pesar de que hoy en día la identificación y caracterización de sequías sigue siendo un proceso no estandarizado, lo más habitual es utilizar índices como el SPI o el SPEI entre otros.
M. Sainz de la Maza, M. del Jesus
doaj   +1 more source

Drought evolution in the Haihe River basin during 1960–2020 and the correlation with global warming, sunspots, and atmospheric circulation indices

open access: yesJournal of Water and Climate Change, 2023
The Haihe River basin is the main grain production base and the highland of economic strategic development in China. Based on daily meteorological data during 1960–2020, the characteristics of drought evolution in the Haihe River basin were analyzed by ...
Minhua Ling   +4 more
doaj   +1 more source

Multi‐Timescale Drought Evolution in Greece (1960–2022) From Station‐Based SPI and SPEI

open access: yesInternational Journal of Climatology, EarlyView.
Using homogenized data from 67 HNMS stations in Greece (1960–2022), we calculated SPI and SPEI at 1–12‐month scales to characterize meteorological to hydrological drought. We quantified the network‐based spatial extent of drought, compared SPI and SPEI drought signals, and tested changes with autocorrelation‐robust Mann–Kendall trends and Pettitt ...
Michael Samouris   +3 more
wiley   +1 more source

Prediction of SPEI Using MLR and ANN: A Case Study for Wilsons Promontory Station in Victoria

open access: yes, 2015
The prediction of drought is of major importance in climate-related studies, hydrologic engineering, wildlife or agricultural studies. This study explores the ability of two machine learning methods to predict 1, 3, 6 and 12 months standardized ...
Deo, Ravinesh C.   +5 more
core   +1 more source

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