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Analysing diurnal temperature range and extreme temperature events over Delhi and Mumbai mega cities
Amongst various form of urbanization induced climate change, changing thermal environment is the most widely studied and understood phenomenon. The...
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Acceleration of daily land temperature extremes and correlations with surface energy fluxes
Assessment of climate reanalysis data for land (ECMWF Re-Analysis v5; ERA5-Land) covering the last seven decades reveals regions where extreme daily...
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A hybrid approach for generating daily 2m temperature of 1km spatial resolution over Iran
Access to high-resolution historical climate data is vital for both theoretical and applied climatology. The aim of this paper is to propose a hybrid...
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Multi-depth daily soil temperature modeling: meteorological variables or time series?
This study presents the first-time application of a novel emotional neural network (ENN) for soil temperature modeling. Two scenarios were considered...
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Daily air temperature forecasting using LSTM-CNN and GRU-CNN models
Today, air temperature (AT) is the most critical climatic indicator. This indicator accurately defines global warming and climate change, despite the...
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The effects of atypical diurnal temperature cycles on regression-based downscaling of daily temperature extrema in the Central United States
The effects of variations in time of day of daily temperature extrema on regression-based statistical downscaling of daily temperature extrema were...
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Homogenised Monthly and Daily Temperature and Precipitation Time Series in China and Greece since 1960
In this paper, we describe and analyze two datasets entitled “Homogenised monthly and daily temperature and precipitation time series in China during...
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A method for selecting a climate model: an application for maximum daily temperature in Southern Spain
General circulation models (GCM) show projections of climate variables that when downscaled can be applied to analyse future behaviour in different...
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Spatiotemporal prediction of daily air temperature using remote sensing and machine learning in Morocco
Air temperature ( AT ) is an extremely useful metric for a wide range of climate change applications and studies. While its data are usually obtained...
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Univariate Deep Learning models for prediction of daily average temperature and Relative Humidity: The case study of Chennai, India
AbstractAccurate weather forecasting plays a crucial component in everyday human life, especially in the agricultural and industrial sectors around...
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A methodological approach for filling the gap in extreme daily temperature data: an application in the Calabria region (Southern Italy)
Regional studies are crucial for monitoring and managing the impacts of extreme climatic events. This phenomenon is particularly important in some...
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Machine learning-based downscaling: application of multi-gene genetic programming for downscaling daily temperature at Dogonbadan, Iran, under CMIP6 scenarios
In this study, two machine learning (ML) models, named multi-gene genetic programming (MGGP) and artificial neural network (ANN) are used to...
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Daily and seasonal effects of environmental temperature and humidity on the modal properties of structures
In Structural Health Monitoring understanding the effect of the environment on the modal properties of structures is essential. In this study, we...
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Hybrid deep learning approach for multi-step-ahead prediction for daily maximum temperature and heatwaves
Availability of increasing information and digital meteorological data leads to an opportunity for better simulations/prediction of complex...
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Daily soil temperature simulation at different depths in the Red River Basin: a long short-term memory approach
Soil temperature impacts a variety of biotic and abiotic processes such as carbon cycling, soil microbial activity, soil moisture dynamics, and...
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Analysis of Diurnal Air Temperature Range Variation over Bangladesh
Temperature is one of the most important environmental factors influencing plant growth, development and yield while diurnal temperature range (DTR)...
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Evaluation of re-analyses over China based on the temporal asymmetry of daily temperature variability
As an intrinsic feature of daily surface air temperature (SAT) variability found in station measurements, temporal asymmetry (TA) can be taken as an...
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Development of high resolution daily gridded precipitation and temperature dataset for potohar plateau of indus basin
Reliable spatial and temporal meteorological estimates are essential for accurately modeling hydrological, ecological, and climatic processes....
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Projections of indices of daily temperature and precipitation based on bias-adjusted CORDEX-Africa regional climate model simulations
We present a dataset of daily, bias-adjusted temperature and precipitation projections for continental Africa based on a large ensemble of regional...
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Interannual variability of diurnal temperature range in CMIP6 projections and the connection with large-scale circulation
Diurnal temperature range (DTR), as a core indicator of the Earth system, exhibits obvious temporal and spatial variations, which is not entirely...
