Introduction to Selected Climate

The main research issues are: temporal and spatial changes of urban heat island under the spatial development changes, methods of limiting the urban heat island and adaptation to it, the impact of biologically vital areas on local climate, forecasts for the urban heat island based on selected climate change models and scenarios of spatial development changes.

The trends of the four selected climate variables cover the period from 1960 to 2016.

The networks were trained for 2000 epochs and used for the next-step prediction of the selected climate variables.

this study applies such assessments upon the load allocation exercises through carbonaceous biochemical oxygen demand reduction for addressing a recognized dissolved oxygen problem along the Jordan river in utah, conducting such analyses through selected climate change projections described by the representative concentration pathways.

The selected climate change projections comprise the moderate and high emissions scenarios - RCP4.

The future increase in China drought frequency will reduce from 12%–45% based on selected climate models to 3%–27% based on all available models (30 CMIP5 models and 31 CMIP6 models), which indicates that the model selection is critical for future drought projection.

Change in the hydroclimatology of Denver and Phoenix highly depends on the selected climate model.

This study aims at analyzing the teleconnections of seasonal rainfall over Bangladesh with selected climate indices, including El Niño/Southern Oscillation (ENSO), Indian Ocean Dipole (IOD), Pacific Decadal Oscillation (PDO), and Atlantic Multidecadal Oscillation (AMO) indices.

We studied interannual variability and changes over time in selected climate indices in the reindeer management area (RMA) in northern Finland.

5 scenario, based on six selected climate projections, which represent 80% of the bandwidth of the possible future climate signal for Germany.

The sensitivity of future groundwater temperature development for selected climate projections was qualitatively investigated for representative Swiss unconsolidated rock groundwater resources in the Central Plateau as well as the Jura and Alpine region.

, the sequential integer that indicates the type of fuel) and insulation layer’s material and thickness for each selected climate condition.

In this study, we develop a deep learning model to forecast the transmission rate of COVID-19 globally, via a proposed G parameter, as a function of fused data features which encompass selected climate conditions, socioeconomic and restrictive governmental factors.

In contrast, our sliding-window analysis shows that in only four out of 13 vital rates the selected climate drivers have time windows that align with, or are similar to, the growing season.

Single correlation analysis is exploited as the basis for selecting different combinations of input variables for developing MLR models to examine the extent of the combined impacts of the selected climate drivers on forecasting spring streamflow several months ahead.

With respect to the selected climate scenarios and the variety of the stability schemes, a bandwidth of affected separation distances results.

The second explores the irrigation crop water needs under selected climate scenarios.

The objective of this study is to provide a comprehensive review and characterization of selected climate variability indices.

Employing instrumental and proxy-based data characterizing the external climate forcings (solar and volcanic activity, greenhouse gases) in parallel with series representing the activity of selected climate variability modes (El Nino–Southern Oscillation – ENSO; Atlantic Multidecadal Oscillation – AMO; Pacific Decadal Oscillation – PDO; North Atlantic Oscillation – NAO), regression and wavelet analyses were deployed to identify and quantify the temporal variability patterns of drought indices and similarity between individual signals.

However, the magnitude of change varies significantly among the three selected climate zones.

The results demonstrate that the DWAHS outperforms the conventional single-temperature warm air heating system (SWAHS) under various conditions in the selected climate zone.

For this, the paper presents methodologies to quantify the soiling ratio (SRatio) and soiling rate (SRate) for two representative commercial technologies, polycrystalline or multicrystalline silicon (mc-Si) and thin-film cadmium telluride (CdTe) modules, through soiling monitoring stations deployed in the selected climate regions.

The skill improvement has been found in all selected climate regions and initialisation dates (from the 1st day of each month), though more substantial improvement is observed in the rainfall stations within the tropical zone where the raw forecast is particularly unskilful.