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Impact of host climate model on contrail cirrus effective radiative forcing estimates
Published 2025-01-01Get full text
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1704
Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method
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Trend Analysis of Temperature and Rainfall of Rajasthan, India
Published 2021-01-01“…The historic data of minimum and maximum temperature and rainfall for a period of 49 years from 1971 to 2019 were collected from Climate Research and Services, India Meteorological Department, Pune. Detection of trends and change in magnitude was done using the Mann–Kendall (MK) test and Sen’s slope, respectively. …”
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1706
Assessment of Frost Depth in Romania
Published 2025-01-01“…Structural designers also require reliable local meteorological data. This study presents calculations of these parameters for Cluj Napoca city. …”
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Cartographie régionale de la susceptibilité aux laves torrentielles dans les Alpes du Sud
Published 2017-01-01“…This platform also offers a visualisation of the rainfall’s spatial distribution (from meteorological radar data), enabling automatic real-time detection of the triggering of debris flow at the regional scale.…”
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A holistic stochastic model for precipitation events
Published 2025-02-01“…This characterization opens the door to further understanding of risk associated with out-of-sample meteorological events.…”
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Regional Scale Mapping of Debris-Flow Susceptibility in the Southern French Alps
Published 2017-01-01“…This platform also offers a visualisation of the rainfall’s spatial distribution (from meteorological radar data), enabling automatic real-time detection of the triggering of debris flow at the regional scale.…”
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Počasí v Čechách ve 30. a 40. letech 18. století v denících Tobiáše Antonína Seemana
Published 2012-04-01“…Hofmeister) of the (Swéerts-) Sporcks, in 1730–1747 contain a wealth of meteorological observations. Although it was not the author’s main area of interest and the data are not recorded on a daily basis, they represent a new and valuable contribution to the documentation of the climate and its extremes in Bohemia of the pre-instrumental period of the first half of the 18th century. …”
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Determining the Tourism Comfort Climate of the Mangrove Forests of Nayband Bay Based on Baker and Terjong Indices
Published 2024-03-01“…The data collection was done through the Meteorological Organization and Bushehr Asaluyeh station for 22 years (2020-2022). …”
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Investigating Changes in the Water Requirement of Agricultural Crops in the Jiroft Plain Under Climate Change Impact
Published 2023-09-01“…The data required in this research include daily precipitation, minimum and maximum temperature and sunshine hours of Jiroft synoptic station (during 1989-2017), which were obtained from Iran Meteorological Organization. First, the ability of LARSWG 6. model to simulate the climatic variables of Jiroft synoptic station in the base period (1989-2017) was investigated. …”
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Impact of COVID-19 Event on the Air Quality in Iran
Published 2024-12-01“…In terms of the national air quality, SO2 and NO2 levels decreased while AOD increased during the lockdown. Unfavourable meteorological conditions hindered pollutant dispersion. …”
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The Short‐Time Prediction of Thermospheric Mass Density Based on Ensemble‐Transfer Learning
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A Statistical Model of Inner Magnetospheric Electron Density: Van Allen Probes Observations
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Agricultural Drought Monitoring Using Climatic, Vegetation and Soil Moisture Data in Hormozgan Province
Published 2022-03-01“…A comparison of historical droughts between the three indices showed that, although all three indices often showed drought conditions, SPEI always showed extreme conditions compared to changes in soil moisture and vegetation, indicating a delayed response to changes in soil moisture. and vegetation to meteorological drought.…”
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Drivers for Geostationary 2–200 keV Electron Fluxes as Observed at GOES Satellites
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Harnessing Multi-Source Data and Deep Learning for High-Resolution Land Surface Temperature Gap-Filling Supporting Climate Change Adaptation Activities
Published 2025-01-01“…Unlike traditional satellite-based techniques, our model leverages high-temporal-resolution meteorological data to capture diurnal variations, allowing for more robust LST predictions across different regions and time periods. …”
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