near‐surface air temperaturemultiple‐linear regression modelObservations of daily minimum and maximum land air temperatures, Tmin and Tmax, have traditionally been obtained through in situ observations at meteorological stations. While the station network is extensive, many land masses are poorly ...
This study aims to provide a high spatiotemporal resolution dataset of near-surface air temperatures for densely developed urban areas. The dataset comprises daily maximum, minimum, and mean temperatures for the summer months (June to August) from 2019 to 2023, at a spatial resolution of 100m,...
projections in surface air temperature and precipitation at the end of the 21st century (2070–2100) from CLIMEA-BCUD for all the scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5) can be estimated. Figure8(the raw GCM) and Figure9(CLIMEA-BCUD) shows the changes in multi-model ensemble ...
tasmax Daily mean of the daily-maximum near-surface air temperature 188.38 335.13 K * = Values are estimated 影像属性: Name Type Description model String Name of the CMIP5 model. It is one of 'ACCESS1-0', 'bcc-csm1-1', 'BNU-ESM', 'CanESM2', 'CCSM4', 'CESM1-BGC', 'CNRM-CM5...
End of century daily average maximum near-surface air temperature difference between the downscaled CanESM5 model output (CMIP6) and the corresponding downscaled CanESM2 model output (CMIP5). Full size image Fig. 2 Same as Fig.1, but for precipitation. ...
& Jia, S. Estimation of daily maximum and minimum air temperature using MODIS land surface temperature products. Remote Sens. Environ. 130, 62–73 (2013). 21. Hou, P. et al. Near-surface air temperature retrieval from satellite images and influence by wetlands in urban region. Theor. Appl...
The fraction of rain–snow transition is determined by the surface air temperature (T) and is replaced by the daily maximum surface air temperature in this study for snowfall statistics, which can ensure that the precipitation falling to the ground is solid snow (Chen et al., 2020a). ...
To resolve the issue that Tair observations are scarce in the TP western part and at high elevation, many studies have estimated daily air temperatures by using MODIS land surface temperature (LST) and various reanalysis datasets. These estimates are however inadequate for supporting high-resolution ...
Abstract The two main methods for determining the average daily near-surface air temperature, twice-daily averaging (i.e., [Tmax+Tmin]/2) and hourly averaging (i.e., the average of 24 hourly temperature measurements), typically show differences associated with the asymmetry of the daily temper...
of the observed data and also by using topographic and climatic co-variables. Among the applied remote sensing data, Land Surface Temperature (LST) is the most frequently used parameter because it improves both the numerical accuracy and the spatiotemporal details of the interpolated air temperature...