USING SIX THERMAL AMPLITUDE MODELS FOR ESTIMATING THE DAILY GLOBAL SOLAR RADIATION AS A SOURCE OF CLEAN ENERGY FROM MEASURED TEMPERATURES OVER SAUDI ARABIA [PDF]
Engineering Heritage JournalThis research presents an analysis of the estimated solar radiation using Maximum and minimum daily temperatures (Tdmax and Tdmin), and by applying six models.
Mohammed Foudil Bourouba
doaj +1 more source
Earth and Space Science, 2019 The Bias Correction and Spatial Downscaling (BCSD) is a trend‐preserving statistical downscaling algorithm, which has been widely used to generate accurate and high‐resolution data set.
Lianlian Xu, Aihui Wang
doaj +1 more source
Trends in wintertime climate in the northeastern United States: 1965–2005 [PDF]
, 2008 Humans experience climate variability and climate change primarily through changes in weather at local and regional scales. One of the most effective means to track these changes is through detailed analysis of meteorological data.
Braswell, Rob +3 more
core +2 more sources
Spatiotemporal variations in the difference between satellite‐observed daily maximum land surface temperature and station‐based daily maximum near‐surface air temperature [PDF]
Journal of Geophysical Research: Atmospheres, 2017 AbstractThere is an increasing demand to integrate land surface temperature (LST) into climate research due to its global coverage, which requires a comprehensive knowledge of its distinctive characteristics compared to near‐surface air temperature (Tair).
Xu Lian +5 more
openaire +1 more source
Journal of Hydrology: Regional Studies, 2021 Study region: Metropolitan Taipei city, Taiwan. Study focus: The severity of climate change in Taiwan is increasing, and the average temperature in Taiwan has increased by 1.0–1.4 °C over the last century, which is higher than the global average. A state-
Ming-Liang Lin +2 more
doaj +1 more source
Modeling maximum daily temperature using a varying coefficient regression model [PDF]
Water Resources Research, 2014 AbstractRelationships between stream water and air temperatures are often modeled using linear or nonlinear regression methods. Despite a strong relationship between water and air temperatures and a variety of models that are effective for data summarized on a weekly basis, such models did not yield consistently good predictions for summaries such as ...
Han Li +3 more
openaire +1 more source
Detection of recent changes in climate using meteorological data from south-eastern Bangladesh [PDF]
, 2015 Analysis of meteorological records from four stations (Chittagong, Cox’s Bazar, Rangamati, Sitakunda) in south-eastern Bangladesh show coherent changes in climate over the past three decades.
Harrison, S. P., Li, G., Raihan, F.
core +1 more source
Advancing Agricultural Production With Machine Learning Analytics: Yield Determinants for California's Almond Orchards. [PDF]
, 2020 Agricultural productivity is subject to various stressors, including abiotic and biotic threats, many of which are exacerbated by a changing climate, thereby affecting long-term sustainability.
Brown, Patrick H +3 more
core +3 more sources
Seasonal and Annual Trends in Australian Minimum/Maximum Daily Temperatures [PDF]
The Open Atmospheric Science Journal, 2016 Seasonal and annual trends in Australian minimum and maximum temperatures were studied. Records of daily minimum and maximum temperatures averaged over each month, extending as far back as 1856 were examined. Over 1/2 million monthly temperature values were retrieved from the Australian Bureau of Meteorology for 299 stations.
W. A. van Wijngaarden, A. Mouraviev
openaire +1 more source
Cold Bias of ERA5 Summertime Daily Maximum Land Surface Temperature over Iberian Peninsula
Remote Sensing, 2019 Land surface temperature (LST) is a key variable in surface-atmosphere energy and water exchanges. The main goals of this study are to (i) evaluate the LST of the European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim and ERA5 reanalyses ...
Frederico Johannsen +5 more
doaj +1 more source