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Modeling urban air temperature using satellite-derived surface temperature, meteorological data, and local climate zone pattern—a case study in Szeged, Hungary
Urban air temperature is a crucial variable for many urban issues. However, the availability of urban air temperature is often limited due to the...
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A hybrid Facebook Prophet-ARIMA framework for forecasting high-frequency temperature data
High-frequency temperature data, such as hourly or daily measurements, show complex seasonal patterns and short-term dynamics that affect various...
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Temperature simulation by numerical modeling and feedback of geostatic data and horizontal domain resolution
The accuracy of the Weather Research and Forecasting Model (WRF) can be affected by multiple factors, including domain resolution, geostatic data,...
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Analysis of revising multisource fusion data of high-temperature flood season weather in southern **njiang, China
To obtain a more accurate temperature distribution in areas with complex terrain, we analysed the hourly temperature product of the Land Surface Data...
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Determination of Thermophysical Parameters of the Soil according to Dynamic Data on Its Temperature
AbstractMethods for determining the thermal diffusivity coefficient from point temperature records in soil of a given thickness have been developed....
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Incremental–decremental data transformation based ensemble deep learning model (IDT-eDL) for temperature prediction
Human life heavily depends on weather conditions, which affect the necessary operations like agriculture, aviation, tourism, industries, etc., where...
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Investigation into Temperature Multifractrality According to Zugspitze Weather Station Data
AbstractThe main multifractal properties of time series of mean, maximum, and minimum daily temperatures are analyzed using multifractal fluctuation...
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Effect of 2-m Temperature Data Assimilation in the CMA-MESO 3DVAR System
Assimilation of surface observations including 2-m temperature ( T 2m ) in numerical weather prediction (NWP) models remains a challenging problem owing...
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MA-BLTSI model for Land Surface Temperature prediction based on multi-dimensional data
Temperature prediction is a challenging problem due to various complex factors, including geographical location, terrain, seasonal changes, climate...
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Evaluation of the FY-3E microwave temperature sounding data assimilation on forecasting Typhoon Chanthu (2021)
Fengyun-3E is the first early-morning-orbit polar-orbiting satellite launched by China, which carries the third generation of Microwave Temperature...
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Sea Surface Temperature Variability
A weekly mean Multi-Channel Sea Surface Temperature (MCSST) data set was used to study seasonal and interannual variability of SSTs averaged over...
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Assimilation of Expedition Observation Data on Water Temperature and Salinity in the Region of Drake Passage
AbstractResults of numerical experiments on the assimilation of in situ temperature and salinity profiles observed in the region of Drake Passage...
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Forecasting temperature data with complex seasonality using time series methods
Predicting air temperature is crucial in climate change and global warming studies. Due to the significance of seasonal behaviour in weather,...
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Long–Period Trends in Water Temperature Changes in the Northern Part of the Atlantic Ocean according to the Ocean Reanalysis Data
AbstractThe results of assessing long–term changes in water temperature in the northern part of the Atlantic Ocean (0°–70° N, 8°–80° W) according to...
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Temperature Sensitivity of Soil Respiration in Grasslands in Temperate Continental Climate Zone: Analysis of 25-Year-Long Monitoring Data
AbstractField observations of soil respiration (SR) in different types of terrestrial ecosystems are very relevant because of high temporal and...
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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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Homogeneity Adjustment of Surface Temperature Data and Study of the Climate Variability Over Coastal Odisha by a Climate Departure Index
In the recent years, extreme temperature i.e. cold in winter and warm in summer has been observed in the coastal Odisha state in the east part of...
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Extraction of maize canopy temperature and variation factor analysis based on multi-source unmanned aerial vehicle remote sensing data
Canopy temperature is an important parameter for monitoring the physiological status of maize. The study of its change law can help to improve the...
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Long-term changes in temperature, specific humidity, and precipitation in Bangladesh revealed by ERA5 data
Bangladesh is known as one of the countries that are most vulnerable to climate change, which promotes continuous scientific attention to the changes...
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PyLST: a remote sensing application for retrieving land surface temperature (LST) from Landsat data
Understanding land surface temperature (LST) dynamics is crucial for assessing the impacts of changes in land use and land cover (LULC) through...
