Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations by Bartosz Czernecki, Michał Marosz, Joanna Jędruszkiewicz

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Assessment of Rainfall Frequencies from Global Precipitation Datasets by Xueyi Yin, Ziyang Zhang, Zhi Lin, Jun Yin

“…Specifically, these differences are as high as 41.8% for the Global Precipitation Climatology Project (GPCP) and 74.8% for the fifth-generation European Centre for Medium-Range Weather Forecasts Reanalysis (ERA5), which are much larger than the differences in mean rainfall rates but can be partially corrected by redefining wet days with higher rainfall thresholds. …”
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Determining the Relationship Between Air Temperature and Soil Temperature at Different Depths in Jahrom Station by Saeed Shahmirzaei Jeshvaghani, Ahmad Mazidi, Yaser Mohammadi, Mostafa Safari

“…The study of soil temperature at different depths is important for climatology (especially at the micro-scale), agriculture and industry, and affects many soil processes. …”
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Adaptive algorithms for change point detection in financial time series by Alexander Musaev, Dmitry Grigoriev, Maxim Kolosov

“…The detection of change points in chaotic and non-stationary time series presents a critical challenge for numerous practical applications, particularly in fields such as finance, climatology, and engineering. Traditional statistical methods, grounded in stationary models, are often ill-suited to capture the dynamics of processes governed by stochastic chaos. …”
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Investigating the Level of Stability of the Water Zone of Hamon Wetlands Using Sensor Images GEE in MODIS by Mohammad Fartoot Enayat, Kourosh Mohammadpour, Ali Asghar Abdollahi, Bita Jeddi

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Zoning and analysis of pervasive rainfall in rainy areas of Iran In the statistical period of 30 years (1987-1987) by Maryam saghafi, Gholamreza Barati, Bohloul Alijani, Mohammad Moradi

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Study of the models of large-scale atmospheric circulation system model on intesify rainfall in Ardebil plain by sahar Nasiri, Boroumand Salahi, aliakbar rasouli, faramarz khoshakhlagh

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Improving farming practices using multi-criteria decision analysis in geographic information system for Damask Rose cultivating by B. Shokati, M.R. Asgharipour, B. Feizizadeh

“…For this goal, several criteria including soil conditions, climatologically indicators, topography situation and agro-climatology criteria were taken into account of modeling processing. …”
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Physics‐Based Hazard Assessment of Compound Flooding From Tropical and Extratropical Cyclones in a Warming Climate by Ali Sarhadi, Raphaël Rousseau‐Rizzi, Kerry Emanuel

“…Our findings reveal a significant increase in TC‐induced compound flooding hazard due to evolving climatology and sea level rise (SLR). Although compound flooding induced by ETCs increases mostly in coastal areas due to SLR, inland areas exhibit almost no change, and some even show a decline in rainfall‐driven flooding from high‐frequency ETC events toward the end of the century compared to the current climate. …”
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UV Index for Public Health Awareness Based on OMI/NASA Satellite Data at King Abdulaziz University, Saudi Arabia by Abdullah Addas, Mahmoud Ragab, Ahmad Maghrabi, S. M. Abo-Dahab, Eman F. El-Nobi

“…There is limited ground measurement of solar UV radiation, but satellite Ozone Monitoring Instrument (OMIs) satellite products with a spatial resolution of 1°×1° can be used to create UV index climatology at local noon time. In this study, we utilize OMI satellite products collected over the campus of King Abdulaziz University (KAU) (21.5° North and 39.1° East), Jeddah, Saudi Arabia, to estimate changes in exposure to UV over a period of 15 years (2004-2020). …”
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Assessment of soil and water resources in the Gando Protected Area by jalil Badamfirooz, leyla sharifi

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Comparison of Precipitation Rates from Global Datasets for the Five-Year Period from 2019 to 2023 by Heike Hartmann

“…Precipitation is a fundamental component of the hydrologic cycle and is an extremely important variable in meteorological, climatological, and hydrological studies. Reliable climate information including accurate precipitation data is essential for identifying precipitation trends and variability as well as applying hydrologic models for purposes such as estimating (surface) water availability and predicting flooding. …”
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Assessing the Biochemical Hazard of Hot Wave Events in Tehran by Shahram Emamgholi, Gholam Reza Janbaz Ghobadi, Parviz Rezaei, Sadr aldin Motevali

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Identification of Heat Waves and Analysis of Their Temporal-Spatial Variations in Iran by Nasibeh Baharvandi, Firouz Mojarrad, Jafar Masompour

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Spatiotemporal study of evapotranspiration in the southern part of the Aras River basin by Mahnaz Saber, bromand Salahi, Abbas Mofidi

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Simulation of Threshold UV Exposure Time for Vitamin D Synthesis in South Korea by Sang Seo Park, Yun Gon Lee, Migyoung Kim, Jaemin Kim, Ja-Ho Koo, Chang Ki Kim, Junshik Um, Jongmin Yoon

“…The prediction of total ozone took the form of an empirical linear regression with the variables of meteorological parameters in the upper troposphere and lower stratosphere and the climatology value of total ozone. Additionally, to consider cloud extinction after the estimation of clear-sky UV radiation using a radiative transfer model simulation, a cloud modification factor was applied. …”
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Forecasting Occurrence and Intensity of Geomagnetic Activity With Pattern‐Matching Approaches by C. Haines, M. J. Owens, L. Barnard, M. Lockwood, A. Ruffenach, K. Boykin, R. McGranaghan

“…All forecasts outperform climatology on the considered metrics and AnEn and SVM outperform 27 days recurrence. …”
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Detection of the effect of cloud microphysical structure on precipitation in Khuzestan province using MODIS cloud products by danesh nasiri, reza borna, Manijeh Zohourian Pordel

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Identifying weather patterns responsible for renewable energy droughts over India by I. Dijkstra, H. C. Bloomfield, K. M. R. Hunt, K. M. R. Hunt

“…These are defined as periods where wind and solar potential is in the lowest 2.5 % compared to climatology. These events commonly occur from November–February, with the longest historical event being 9 d long.…”
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Effect of Lockdown due to COVID-19 on the Aerosol and Trace Gases Spatial Distribution over India and Adjoining Regions by Madineni Venkat Ratnam, Perumal Prasad, Sivan Thankamani Akhil Raj, Ibrahim Hoteit

“…Surprisingly, aerosol concentrations increased significantly (50–70%) during lockdown over central India when compared to pre-lockdown and climatology (2001–2019). A Concentration Weighted Trajectory analysis suggests that the air masses traveling from middle-east and Africa are the potential sources for the observed high aerosol concentrations over central India. …”
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