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Application of hierarchical cluster analysis to spatiotemporal variability of monthly precipitation over Khyber Pakhtunkhwa, Pakistan
Understanding the long-term spatiotemporal variability of precipitation at the regional scale is critical for develo** flood and drought control...
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Assessing multiscale variability and teleconnections of monthly precipitation in Yangtze River Basin based on multiscale information theory method
In this study, multiscale variability of monthly precipitation in Yangtze River Basin (YRB) and subregional precipitation teleconnections with...
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Assessing Extreme Monthly Runoff Over an Arid Basin Through Reanalysis Datasets
Water availability in arid basins is a serious concern and its quantification remains uncertain. Climate variability as the El Niño Southern...
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A comparative study on the parametrization of a time-variable geopotential model from GRACE monthly solutions
The gravity field of the Earth is time-dependent due to several types of mass variations which take place on different time scales. Usually, the...
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Long-term spatio-temporal trends and periodicities in monthly and seasonal precipitation in Turkey
This study aimed to provide broad insight into the long-term trends and periodicity of monthly and seasonal precipitation in Turkey and to evaluate...
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Uncertainties of monthly ocean bottom pressure from Gravity Recovery and Climate Experiment (GRACE): a case study at the Drake Passage
Several studies reported some aliasing errors of Ocean bottom pressure (OBP) data from Gravity Recovery and Climate Experiment (GRACE), although this...
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Temperature variability in coastal Ghana: a day-to-day variability framework
Day-to-day temperature variability (DTD) is observed to have negative effects on people and their activities. The study assessed DTD in nine areas in...
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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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The influence of natural variability on extreme monsoons in Pakistan
The monsoons in Pakistan have been exceptionally harsh in recent decades, resulting in extraordinary drought conditions and record flooding events....
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Optimal Proxy Indices for Annual Marine Heatwave Characteristics Using Monthly Sea Surface Temperature
Monitoring and understanding marine heatwaves (MHWs) are essential for assessing the impacts of climate change on oceans and implementing strategies...
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Develo** high resolution monthly gridded precipitation dataset for Afghanistan
The analysis and sustainable management of water resources have been substantially hampered by the absence of optimum precipitation data in...
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A sub-monthly timescale causality between snow cover and surface air temperature in the Northern Hemisphere inferred by Liang–Kleeman information flow analysis
Land snow is considered one of the important Earth system elements altering sub-seasonal to seasonal (S2S) atmospheric variability and...
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Monthly potential evapotranspiration estimated using the Thornthwaite method with gridded climate datasets in Southeastern Brazil
We evaluated the performance of the Thornthwaite (ThW) method using two gridded climate datasets to estimate monthly average daily potential...
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Estimation of monthly sunshine duration using satellite derived cloud data
Sunshine duration (SD) is one of the critical meteorological parameters used in different fields of application such as climate, renewable energy and...
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Investigating monthly geopotential height changes and mid-latitude Northern Hemisphere westerlies
The investigation of the height variations of the westerly in the mid-latitudes of the Northern Hemisphere is crucial for monitoring changes in the...
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Improved teleconnective predictability of monthly precipitation amounts using canonical correlation analysis
This study was aimed at evaluating the application of the canonical correlation analysis (CCA) to predict monthly precipitation amounts (predictands)...
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Spatial and temporal variability of precipitation based on marginal and apportionment entropy disorder indices in Iran
Variations in rainfall are a significant characteristic of semi-arid climates, and it is expected that climate change will increase this variability...
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Comparison of Hybrid LSTAR-GARCH Model with Conventional Stochastic and Artificial-Intelligence Models to Estimate Monthly Streamflow
Streamflow estimation plays an important role in water resources planning and management, and minimizes the impact of floods and droughts. Therefore,...
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Croatian high-resolution monthly gridded dataset of homogenised surface air temperature
Homogenised climatological series and gridded data are the basis for climate monitoring and climate change detection. Considering this, monthly mean...
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Modelling monthly rainfall of India through transformer-based deep learning architecture
In the realm of Earth systems modelling, the forecasting of rainfall holds crucial significance. The accurate prediction of monthly rainfall in India...
